Bibliography

Adams, R., Williams, R., & Acar, E. (2001). Empirical measures of liquidity: A new approach. Journal of Asset Management, 2(1), 75–83. doi:10.1057/palgrave.jam.2240037

Adler, R. J., Feldman, R. E., & Taqqu, M. S. (Eds.). (1998). A practical guide to heavy tails: Statistical techniques and applications. Birkhäuser. doi:10.1007/978-1-4612-0197-7

Admati, A. R., & Pfleiderer, P. (1988). A theory of intraday patterns: Volume and price variability. The Review of Financial Studies, 1(1), 3–40. doi:10.1093/rfs/1.1.3

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. doi:10.1109/TAC.1974.1100705

Andersen, T. G. (1994). Stochastic autoregressive volatility: A framework for volatility modeling. Mathematical Finance, 4(2), 75–102. doi:10.1111/j.1467-9965.1994.tb00052.x

Andersen, T. G. (1996). Return volatility and trading volume: An information flow interpretation of stochastic volatility. The Journal of Finance, 51(1), 169–204. doi:10.1111/j.1540-6261.1996.tb05206.x

Andersen, T. G., & Bollerslev, T. (1997). Heterogeneous information arrivals and return volatility dynamics: Uncovering the long-run in high frequency returns. The Journal of Finance, 52(3), 975–1005. doi:10.1111/j.1540-6261.1997.tb02722.x

Andersen, T. G., & Bollerslev, T. (1998). Answering the skeptics: Yes, standard volatility models do provide accurate forecasts. International Economic Review, 39(4), 885–905. doi:10.2307/2527343

Andersen, T. G., Bollerslev, T., & Diebold, F. X. (2010). Parametric and nonparametric volatility measurement. In Y. Aït-Sahalia & L. P. Hansen (Eds.), Handbook of financial econometrics: Tools and techniques (Vol. 1, pp. 67–137). North-Holland. (Originally circulated in 2002 as a forthcoming handbook chapter). doi:10.1016/B978-0-444-50897-3.50005-7

Andersen, T. G., Bollerslev, T., Diebold, F. X., & Labys, P. (2000). Exchange rate returns standardized by realized volatility are (nearly) Gaussian. Multinational Finance Journal, 4(3–4), 159–179. doi:10.17578/4-3/4-1

Andersen, T. G., Bollerslev, T., Diebold, F. X., & Labys, P. (2001). The distribution of realized exchange rate volatility. Journal of the American Statistical Association, 96(453), 42–55. doi:10.1198/016214501750332965

Andersen, T. G. (1992). Volatility (Working Paper No. 144). Kellogg Graduate School of Management, Northwestern University.

Anderson, C. M., & Sunder, S. (1995). Professional traders as intuitive Bayesians. Organizational Behavior and Human Decision Processes, 64(2), 185–202. doi:10.1006/obhd.1995.1098

Andrews, D. W. K. (1991). Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica, 59(3), 817–858. doi:10.2307/2938229

Arifovic, J. (1996). The behavior of exchange rates in the genetic algorithm and experimental economies. Journal of Political Economy, 104(3), 510–541. doi:10.1086/262032

Arifovic, J., & Masson, P. (2000). Heterogeneity and evolution of expectations in a model of currency crisis (Working Paper). Department of Economics, Simon Fraser University / Brookings Institution.

Arneodo, A., Bouchaud, J.-P., Cont, R., Muzy, J.-F., Potters, M., & Sornette, D. (1996). Comment on turbulent cascades in foreign exchange markets (arXiv:cond-mat/9607120). arXiv. doi:10.48550/arXiv.cond-mat/9607120

Arneodo, A., Muzy, J.-F., & Sornette, D. (1998). Causal cascade in the stock market from the "infrared" to the "ultraviolet". The European Physical Journal B, 2(2), 277–282. (Originally circulated in 1997 as arXiv:cond-mat/9708012). doi:10.1007/s100510050250

Arthur, W. B., Holland, J. H., LeBaron, B., Palmer, R., & Tayler, P. (1997). Asset pricing under endogenous expectations in an artificial stock market. In W. B. Arthur, S. N. Durlauf, & D. A. Lane (Eds.), The economy as an evolving complex system II (pp. 15–44). Addison-Wesley.

Artus, P. (1999). Spéculateurs, investisseurs et attaques spéculatives alors que les changes fixes pouvaient être conservés (Working Paper). Workshop Microstructure du Marché des Changes, Caisse des Dépôts et Consignations (CDC).

Avery, C., & Zemsky, P. (1998). Multidimensional uncertainty and herd behavior in financial markets. American Economic Review, 88(4), 724–748.

Bagliano, F. C., Beltratti, A., & Bertola, G. (1996). Heterogeneous behavior in exchange rate crises. In J. A. Frankel, G. Galli, & A. Giovannini (Eds.), The microstructure of foreign exchange markets (pp. 185–206). University of Chicago Press.

Baillie, R. T. (1996). Long memory processes and fractional integration in econometrics. Journal of Econometrics, 73(1), 5–59. doi:10.1016/0304-4076(95)01732-1

Baillie, R. T., & Bollerslev, T. (1989). The message in daily exchange rates: A conditional variance tale. Journal of Business & Economic Statistics, 7(3), 297–305. doi:10.1080/07350015.1989.10509740

Baillie, R. T., Bollerslev, T., & Mikkelsen, H. O. (1996). Fractionally integrated generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 74(1), 3–30. doi:10.1016/0304-4076(95)01749-6

Baillie, R. T., Humpage, O. F., & Osterberg, W. P. (2000). Intervention from an information perspective. Journal of International Financial Markets, Institutions and Money, 10(3–4), 407–421. doi:10.1016/S1062-9408(00)00045-5

Barnett, W. A., & Serletis, A. (2000). Martingales, nonlinearity, and chaos. Journal of Economic Dynamics and Control, 24(5–7), 703–724. doi:10.1016/S0165-1889(99)00078-7

Baviera, R., Pasquini, M., Serva, M., Vergni, D., & Vulpiani, A. (1999). Efficiency in foreign exchange markets (arXiv:cond-mat/9901225). arXiv. doi:10.48550/arXiv.cond-mat/9901225

Baviera, R., Pasquini, M., Serva, M., Vergni, D., & Vulpiani, A. (2001). Forecast in foreign exchange markets. The European Physical Journal B, 20(4), 473–479. doi:10.1007/PL00011116

Berg, A., & Pattillo, C. (1999). Predicting currency crises: The indicators approach and an alternative. Journal of International Money and Finance, 18(4), 561–586. doi:10.1016/S0261-5606(99)00024-8

Berndt, E. R., Hall, B. H., Hall, R. E., & Hausman, J. A. (1974). Estimation and inference in nonlinear structural models. Annals of Economic and Social Measurement, 3(4), 653–665.

Biais, B. (1993). Price formation and equilibrium liquidity in fragmented and centralized markets. The Journal of Finance, 48(1), 157–185. doi:10.1111/j.1540-6261.1993.tb04705.x

Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026. doi:10.1086/261849

Bikhchandani, S., & Sharma, S. (2000). Herd behavior in financial markets: A review (IMF Working Paper No. 00/48). International Monetary Fund. Published in IMF Staff Papers, 47(3), 279–310 (2001).

Bank for International Settlements. (2001). Central bank survey of foreign exchange and derivatives market activity in April 2001. Monetary and Economic Department, BIS.

Black, F. (1986). Noise. The Journal of Finance, 41(3), 529–543. doi:10.1111/j.1540-6261.1986.tb04513.x

Blake, A. P., & Kapetanios, G. (2003). Pure significance tests of the unit root hypothesis against nonlinear alternatives. Journal of Time Series Analysis, 24(3), 253–267. doi:10.1111/1467-9892.00305

Boero, G., & Marrocu, E. (2002). The performance of non-linear exchange rate models: A forecasting comparison. Journal of Forecasting, 21(7), 513–542. doi:10.1002/for.836

Boitout, N., & Delahaut, T. (2003). Long range dependence in a real time agent-based model (Unpublished manuscript / Working paper). Université d'Orléans, LEO.

Boitout, N., & Piatecki, C. (2003). A multi-agent simulation of intraday speculative attacks in the interbank FX market (Unpublished manuscript / Working paper). Université d'Orléans, LEO.

Boitout, N., & Ureche-Rangau, L. (2004). Towards a multifractal paradigm of stochastic volatility? International Journal of Theoretical and Applied Finance, 7(7), 823–851. (Submitted 2002; published 2004). doi:10.1142/S0219024904002736

Boitout, N. (1999, June). Crises financières dans les pays asiatiques: L'exemple de l'Asie. Paper presented at the XVIes Journées Internationales d'Économie Monétaire et Bancaire, GDR CNRS, Poitiers, France.

Bollerslev, T., Chou, R. Y., & Kroner, K. F. (1992). ARCH modeling in finance: A review of the theory and empirical evidence. Journal of Econometrics, 52(1–2), 5–59. doi:10.1016/0304-4076(92)90064-X

Bollerslev, T., Engle, R. F., & Nelson, D. B. (1994). ARCH models. In R. F. Engle & D. L. McFadden (Eds.), Handbook of econometrics (Vol. 4, pp. 2959–3038). Elsevier Science / North-Holland. doi:10.1016/S1573-4412(05)80018-2

Bollerslev, T., & Domowitz, I. (1993). Trading patterns and prices in the interbank foreign exchange market. The Journal of Finance, 48(4), 1421–1443. doi:10.1111/j.1540-6261.1993.tb04761.x

Bollerslev, T., & Jubinski, D. (1999). Equity trading volume and volatility: Latent information arrivals and common long-run dependencies. Journal of Business & Economic Statistics, 17(1), 9–21. doi:10.1080/07350015.1999.10509710

Bollerslev, T., & Mikkelsen, H. O. (1996). Modeling and pricing long memory in stock market volatility. Journal of Econometrics, 73(1), 151–184. doi:10.1016/0304-4076(95)01736-4

Bollerslev, T., & Wooldridge, J. M. (1992). Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances. Econometric Reviews, 11(2), 143–172. doi:10.1080/07474939208800229

Bollerslev, T., & Wright, J. H. (2000). Semiparametric estimation of long-memory volatility dependencies: The role of high-frequency data. Journal of Econometrics, 98(1), 81–106. doi:10.1016/S0304-4076(99)00078-4

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. doi:10.1016/0304-4076(86)90063-1

Bollerslev, T. (1987). A conditionally heteroskedastic time series model for speculative prices and rates of return. The Review of Economics and Statistics, 69(3), 542–547. doi:10.2307/1925546

Boothe, P., & Glassman, D. (1987). The statistical distribution of exchange rates: Empirical evidence and economic implications. Journal of International Economics, 22(3–4), 297–319. doi:10.1016/0022-1996(87)90044-6

Bootman, D., & Jager, H. (2002). Coordination of speculation. Journal of International Economics, 58(1), 159–175. doi:10.1016/S0022-1996(01)00169-2

Borio, C. (2000). Market liquidity under stress: Selected issues and policy implications. BIS Quarterly Review, November, 38–51.

Boubel, A., & Topol, R. (1999, June). Intraday exchange rate dynamics and monetary policy. Paper presented at the XVIes Journées Internationales d'Économie Monétaire et Bancaire, GDR CNRS, Poitiers, France.

Bouchaud, J.-P., Giardina, I., & Mézard, M. (2001). On a universal mechanism for long-range volatility correlations. Quantitative Finance, 1(2), 212–216. doi:10.1088/1469-7688/1/2/304

Bouchaud, J.-P., Potters, M., & Meyer, M. (2000). Apparent multifractality in financial time series. The European Physical Journal B, 13(3), 595–599. doi:10.1007/s100510050073

Bouchaud, J.-P., & Potters, M. (2000). Theory of financial risks: From statistical physics to risk management. Cambridge University Press. doi:10.1017/CBO9780511753893

Bouchaud, J.-P. (2002). An introduction to statistical finance. Physica A: Statistical Mechanics and its Applications, 313(1–2), 238–251. doi:10.1016/S0378-4371(02)01039-7

Box, G. E. P., & Jenkins, G. M. (1970). Time series analysis: Forecasting and control. Holden-Day.

Breidt, F. J., Crato, N., & de Lima, P. (1998). The detection and estimation of long memory in stochastic volatility. Journal of Econometrics, 83(1–2), 325–348. doi:10.1016/S0304-4076(97)00072-2

Breymann, W., Ghashghaie, S., & Talkner, P. (2000). A stochastic cascade model for FX dynamics (arXiv:cond-mat/0004179). arXiv. doi:10.48550/arXiv.cond-mat/0004179

Brock, W. A., Dechert, W. D., Scheinkman, J. A., & LeBaron, B. (1996). A test for independence based on the correlation dimension. Econometric Reviews, 15(3), 197–235. doi:10.1080/07474939608800353

Brock, W. A., Hommes, C. H., & Wagener, F. O. O. (2005). Evolutionary dynamics in markets with many agent types. Journal of Mathematical Economics, 41(1–2), 7–42. (Originally circulated in 2001 as CeNDEF Working Paper). doi:10.1016/j.jmateco.2004.06.004

Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. The Journal of Finance, 47(5), 1731–1764. doi:10.1111/j.1540-6261.1992.tb04681.x

Brock, W. A., & de Lima, P. J. F. (1996). Nonlinear time series, complexity theory, and finance. In G. S. Maddala & C. R. Rao (Eds.), Handbook of statistics (Vol. 14, pp. 317–361). Elsevier Science. doi:10.1016/S0169-7161(96)14013-X

Brock, W. A., & Durlauf, S. N. (2001). Discrete choice with social interactions. The Review of Economic Studies, 68(2), 235–260. doi:10.1111/1467-937X.00168

Brock, W. A., & LeBaron, B. D. (1996). A dynamic structural model for stock return volatility and trading volume. The Review of Economics and Statistics, 78(1), 94–110. doi:10.2307/2109850

Brooks, C., Burke, S. P., & Persand, G. (2001). Benchmarks and the accuracy of GARCH model estimation. International Journal of Forecasting, 17(1), 45–56. doi:10.1016/S0169-2070(00)00070-4

Brunnermeier, M. K. (2001). Asset pricing under asymmetric information: Bubbles, crashes, technical analysis, and herding. Oxford University Press. doi:10.1093/0198296983.001.0001

Cailleteau, P., & Vidon, E. (1999). La dynamique des crises financières internationales: Quelques enseignements (Notes d'Études et de Recherche No. 63). Banque de France.

Cai, J., Cheung, Y.-L., Lee, R. S. K., & Melvin, M. (2001). 'Once-in-a-generation' yen volatility in 1998: Fundamentals, intervention, and information flow. Journal of International Money and Finance, 20(3), 327–347. doi:10.1016/S0261-5606(00)00054-5

Cai, J. (1994). A Markov model of switching-regime ARCH. Journal of Business & Economic Statistics, 12(3), 309–316. doi:10.1080/07350015.1994.10524545

Calvet, L., Fisher, A., & Mandelbrot, B. (1997). Large deviations and the distribution of price changes (Cowles Foundation Discussion Paper No. 1165). Yale University.

Calvet, L., & Fisher, A. (2001). Forecasting multifractal volatility. Journal of Econometrics, 105(1), 27–58. doi:10.1016/S0304-4076(01)00069-4

Calvet, L., & Fisher, A. (2002). Multifractality in asset returns: Theory and evidence. The Review of Economics and Statistics, 84(3), 381–406. doi:10.1162/003465302320259420

Calvet, L. E., & Fisher, A. J. (2004). How to forecast long-run volatility: Regime switching and the estimation of multifractal processes. Journal of Financial Econometrics, 2(1), 49–83. (Originally circulated in 2002 as Working Paper). doi:10.1093/jjfinec/nbh003

Campa, J. M., Chang, P. H. K., & Reider, R. L. (1998). Implied exchange rate distributions: Evidence from OTC options markets. Journal of International Money and Finance, 17(1), 117–160. doi:10.1016/S0261-5606(97)00053-3

Caporin, M. (2003). Identifying the source of long memory in volatility. Statistical Methods & Applications, 12(2), 199–220. (Originally circulated in 2002 as Working Paper). doi:10.1007/BF02511589

Carlson, J. A., & Osler, C. L. (2000). Rational speculators and exchange rate volatility. European Economic Review, 44(2), 231–253. doi:10.1016/S0014-2921(98)00066-2

Carlson, J. A. (1998). Risk aversion, foreign exchange speculation and gambler's ruin. Economica, 65(259), 441–453. doi:10.1111/1468-0335.00138

Carlsson, H., & van Damme, E. (1993). Global games and equilibrium selection. Econometrica, 61(5), 989–1018. doi:10.2307/2951491

Carrera, J. M., Pope, P. F., & Taylor, S. J. (1999). The determinants of trading volume: Information flow and inventory control (Working Paper). Lancaster University Management School.

Carrera, J. M. (1999). Speculative attacks to currency target zones: A market microstructure approach. Journal of Empirical Finance, 6(5), 555–582. doi:10.1016/S0927-5398(99)00008-0

Cespa, G. (2002). Short-term investment and liquidity bubbles. Journal of Financial Markets, 5(4), 385–427. (Originally circulated in 2000 as "Inventory effects and trading horizons"). doi:10.1016/S1386-4181(02)00004-3

Chakrabarti, R., & Roll, R. (1999). Learning from others, reacting, and market quality. Journal of Financial Markets, 2(2), 153–178. doi:10.1016/S1386-4181(98)00014-4

Chambers, M. J. (1998). Long memory and aggregation in macroeconomic time series. International Economic Review, 39(4), 1053–1072. doi:10.2307/2527351

Chamley, C. (1999). Coordinating regime switches. The Quarterly Journal of Economics, 114(3), 819–860. doi:10.1162/003355399556151

Chan, K. S. (1993). Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model. The Annals of Statistics, 21(1), 520–533. doi:10.1214/aos/1176349040

Chappell, D., Padmore, J., Mistry, P., & Ellis, C. (1996). A threshold model for the French franc/Deutschmark exchange rate. Journal of Forecasting, 15(3), 155–164. doi:10.1002/(SICI)1099-131X(199604)15:3<155::AID-FOR613>3.0.CO;2-4

Chakrabarti, R. (2000). Just another day in the interbank foreign exchange market. Journal of Financial Economics, 56(1), 29–64. doi:10.1016/S0304-405X(00)00035-7

Chen, S.-H., Lux, T., & Marchesi, M. (2001). Testing for non-linear structure in an artificial financial market. Journal of Economic Behavior & Organization, 46(3), 327–342. doi:10.1016/S0167-2681(01)00199-3

Cheung, Y.-W., & Chinn, M. D. (2001). Currency traders and exchange rate dynamics: A survey of the US market. Journal of International Money and Finance, 20(4), 439–471. doi:10.1016/S0261-5606(01)00002-3

Cheung, Y.-W., & Wong, C. Y.-P. (2000). A survey of market practitioners' views on exchange rate dynamics. Journal of International Economics, 51(2), 401–419. doi:10.1016/S0022-1996(99)00032-6

Cheung, Y.-W. (1993). Long memory in foreign-exchange rates. Journal of Business & Economic Statistics, 11(1), 93–101. doi:10.1080/07350015.1993.10509936

Christoffersen, P. F., & Diebold, F. X. (2006). Financial asset returns, direction-of-change forecasting, and volatility dynamics. Management Science, 52(8), 1273–1287. (Circulated in 2002 as Working Paper). doi:10.1287/mnsc.1060.0520

Chung, C.-F. (1999). Estimating the fractionally integrated GARCH model. National Taiwan University Working Paper (Published in Journal of Econometrics, 2001, 105(2), 339–363). doi:10.1016/S0304-4076(01)00084-0

Clark, P. K. (1973). A subordinated stochastic process model with finite variance for speculative prices. Econometrica, 41(1), 135–155. doi:10.2307/1913889

Clements, M. P., & Hendry, D. F. (1998). Forecasting economic time series. Cambridge University Press. doi:10.1017/CBO9780511599286

Clements, M. P., & Smith, J. (2001). Evaluating forecasts from SETAR models of exchange rates. Journal of International Money and Finance, 20(1), 133–148. doi:10.1016/S0261-5606(00)00035-1

Cont, R. (2001). Empirical properties of asset returns: Stylized facts and statistical issues. Quantitative Finance, 1(2), 223–236. doi:10.1080/713665670

Cramer, J. S. (1991). The logit model: An introduction for economists. Edward Arnold.

Dacco, R., & Satchell, S. (1999). Why do regime-switching models forecast so badly? Journal of Forecasting, 18(1), 1–16. doi:10.1002/(SICI)1099-131X(199901)18:1<1::AID-FOR706>3.0.CO;2-P

Dacco, R., & Satchell, S. (1998). High frequency switching regimes: A continuous-time threshold process. In C. Dunis & B. Zhou (Eds.), Nonlinear modelling of high frequency financial time series (pp. 177–200). John Wiley & Sons.

Dacorogna, M. M., Gençay, R., Müller, U. A., Olsen, R. B., & Pictet, O. V. (2001). An introduction to high-frequency finance. Academic Press. doi:10.1016/B978-0-12-279671-5.X5000-8

Danielsson, J., & Payne, R. (2002). Real-time trading behaviour and price dynamics in the foreign exchange market. Journal of International Money and Finance, 21(2), 203–222. doi:10.1016/S0261-5606(01)00044-8

Davidson, J. (2004). Moment and memory properties of linear conditional heteroscedasticity models. Journal of Business & Economic Statistics, 22(1), 16–29. (Circulated in 2002 as Cardiff University Working Paper). doi:10.1198/073500103288619331

DeGennaro, R. P., & Shrieves, R. E. (1997). Public information releases, private information arrival and volatility in the foreign exchange market. Journal of Empirical Finance, 4(4), 295–315. doi:10.1016/S0927-5398(97)00007-8

DeGroot, M. H. (1970). Optimal statistical decisions. McGraw-Hill.

Delahaut, T. (2003). Études de la microsimulation Lux-Marchesi (Doctoral dissertation). Université des Sciences Sociales de Toulouse (Toulouse 1).

De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990a). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703–738. doi:10.1086/261703

De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990b). Positive feedback investment strategies and destabilizing rational speculation. The Journal of Finance, 45(2), 379–395. doi:10.1111/j.1540-6261.1990.tb03695.x

De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1991). The survival of noise traders in financial markets. The Journal of Business, 64(1), 1–19. doi:10.1086/296523

Dewachter, H. (2001). Can Markov switching models replicate chartist profits in the FX market? Journal of International Money and Finance, 20(1), 25–41. doi:10.1016/S0261-5606(00)00033-8

Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. doi:10.1080/01621459.1979.10482531

Diebold, F. X., & Inoue, A. (2001). Long memory and regime switching. Journal of Econometrics, 105(1), 131–159. doi:10.1016/S0304-4076(01)00073-6

Diebold, F. X., & Schuermann, T. (2000). Exact maximum likelihood estimation of observation-driven econometric models. In R. S. Mariano, M. Weeks, & T. Schuermann (Eds.), Simulation-based inference in econometrics: Methods and applications (pp. 241–268). Cambridge University Press.

Ding, Z., Granger, C. W. J., & Engle, R. F. (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1(1), 83–106. doi:10.1016/0927-5398(93)90006-D

Ding, Z., & Granger, C. W. J. (1996). Modeling volatility persistence of speculative returns: A new approach. Journal of Econometrics, 73(1), 185–215. doi:10.1016/0304-4076(95)01737-2

Dominguez, K. M., & Frankel, J. A. (1993). Does foreign-exchange intervention matter? The portfolio effect. The American Economic Review, 83(5), 1356–1369.

Dominguez, K. M. (1999). The market microstructure of central bank intervention (NBER Working Paper No. 7337). National Bureau of Economic Research. Published in Journal of International Economics, 59(1), 25–45 (2003). doi:10.1016/S0022-1996(02)00088-7

Dooley, M. P. (2000). A model of crises in emerging markets. The Economic Journal, 110(460), 256–272. doi:10.1111/1468-0297.00500

Doornik, J. A. (2001). Ox: An object-oriented matrix language (4th ed.). Timberlake Consultants Ltd.

Dueker, M., & Neely, C. J. (2007). Can Markov-switching models predict excess foreign exchange returns? Journal of Banking & Finance, 31(2), 279–296. (Circulated in 2002 as Federal Reserve Bank of St. Louis Working Paper). doi:10.1016/j.jbankfin.2006.03.003

Dueker, M. J. (1997). Markov switching in GARCH processes and mean-reverting stock-market volatility. Journal of Business & Economic Statistics, 15(1), 26–34. doi:10.1080/07350015.1997.10524683

DuMouchel, W. H. (1983). Estimating the stable index in order to measure tail thickness: A critique. The Annals of Statistics, 11(4), 1019–1031. doi:10.1214/aos/1176346319

Ederington, L. H., & Lee, J. H. (1993). How markets process information: News releases and volatility. The Journal of Finance, 48(4), 1161–1191. doi:10.1111/j.1540-6261.1993.tb04750.x

Eichengreen, B., Rose, A. K., & Wyplosz, C. (1995). Exchange market mayhem: The antecedents and aftermath of speculative attacks. Economic Policy, 10(21), 249–312. doi:10.2307/1344591

Embrechts, P., Klüppelberg, C., & Mikosch, T. (1997). Modelling extremal events for insurance and finance. Springer-Verlag. (Melvin erroneously cited in original draft). doi:10.1007/978-3-642-33483-2

Engel, C., & Hamilton, J. D. (1990). Long swings in the dollar: Are they in the data and do markets know it? The American Economic Review, 80(4), 689–713.

Engle, R. F., & Bollerslev, T. (1986). Modelling the persistence of conditional variances. Econometric Reviews, 5(1), 1–50. doi:10.1080/07474938608800095

Engle, R. F., & Lee, G. G. J. (1999). A permanent and transitory component model of stock return volatility. In R. F. Engle & H. White (Eds.), Cointegration, causality, and forecasting: A Festschrift in honour of Clive W.J. Granger (pp. 475–497). Oxford University Press. (Circulated in 1993 as UCSD Discussion Paper 92-44R).

Engle, R. F., & Russell, J. R. (1998). Autoregressive conditional duration: A new model for irregularly spaced transaction data. Econometrica, 66(5), 1127–1162. doi:10.2307/2999632

Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. doi:10.2307/1912773

Epps, T. W., & Epps, M. L. (1976). The stochastic dependence of security price changes and transaction volumes: Implications for the mixture-of-distributions hypothesis. Econometrica, 44(2), 305–321. doi:10.2307/1912726

Evans, M. D. D., & Lyons, R. K. (2002). Order flow and exchange rate dynamics. Journal of Political Economy, 110(1), 170–180. doi:10.1086/324391

Evans, M. D. D. (2002). FX trading and exchange rate dynamics. The Journal of Finance, 57(6), 2405–2447. doi:10.1111/1540-6261.00501

Feller, W. (1971). An introduction to probability theory and its applications (Vol. 2, 2nd ed.). John Wiley & Sons.

Figlewski, S. (1982). Information diversity and market behavior. The Journal of Finance, 37(1), 87–102. doi:10.1111/j.1540-6261.1982.tb01097.x

Fiorentini, G., Calzolari, G., & Panattoni, L. (1996). Analytic derivatives and the computation of GARCH estimates. Journal of Applied Econometrics, 11(4), 399–417. doi:10.1002/(SICI)1099-1255(199607)11:4<399::AID-JAE404>3.0.CO;2-9

Fisher, A., & Calvet, L. (1997). Multifractality in asset returns: Theory and evidence (Cowles Foundation Discussion Paper No. 1164). Yale University.

Frankel, J. A., & Froot, K. A. (1990). Chartists, fundamentalists, and trading in the foreign exchange market. The American Economic Review, 80(2), 181–185.

Frankel, J. A., & Rose, A. K. (1996). Currency crashes in emerging markets: An empirical treatment. Journal of International Economics, 41(3–4), 351–366. doi:10.1016/S0022-1996(96)01441-9

Franses, P. H., & van Dijk, D. (2000). Non-linear time series models in empirical finance. Cambridge University Press. doi:10.1017/CBO9780511754067

Frisch, U. (1995). Turbulence: The legacy of A. N. Kolmogorov. Cambridge University Press. doi:10.1017/CBO9781139170666

Fudenberg, D., & Tirole, J. (1991). Game theory. MIT Press.

Flood, R. P., & Marion, N. (2000). Self-fulfilling risk predictions: An application to speculative attacks. Journal of International Economics, 50(1), 245–268. doi:10.1016/S0022-1996(99)00021-1

Galati, G. (2000). Trading volumes, volatility and spreads in switch foreign exchange markets: Evidence from emerging market countries (BIS Working Paper No. 93). Bank for International Settlements.

Gallant, A. R., Rossi, P. E., & Tauchen, G. (1992). Stock prices and volume. The Review of Financial Studies, 5(2), 199–242. doi:10.1093/rfs/5.2.199

Gençay, R., Dacorogna, M., Olsen, R., & Pictet, O. (2003). Foreign exchange trading models and market behavior. Journal of Economic Dynamics and Control, 27(6), 909–935. doi:10.1016/S0165-1889(02)00039-4

Geweke, J., & Porter-Hudak, S. (1983). The estimation and application of long memory time series models. Journal of Time Series Analysis, 4(4), 221–238. doi:10.1111/j.1467-9892.1983.tb00371.x

Ghashghaie, S., Breymann, W., Peinke, J., Talkner, P., & Dodge, Y. (1996). Turbulent cascades in foreign exchange markets. Nature, 381(6585), 767–770. doi:10.1038/381767a0

Giardina, I., Bouchaud, J.-P., & Mézard, M. (2001). Microscopic models for long ranged volatility correlations (arXiv:cond-mat/0105076). arXiv. doi:10.48550/arXiv.cond-mat/0105076

Giardina, I., & Bouchaud, J.-P. (2003). Bubbles, crashes and intermittency in agent based market models. The European Physical Journal B, 31(3), 421–437. (Circulated in 2002 as arXiv:cond-mat/0206222). doi:10.1140/epjb/e2003-00049-3

Giraitis, L., Kokoszka, P., & Leipus, R. (2000a). Semiparametric estimation of the intensity of long memory in conditional heteroskedasticity. Statistical Inference for Stochastic Processes, 3(1–2), 113–128. doi:10.1023/A:1009941916365

Giraitis, L., Kokoszka, P., Leipus, R., & Teyssière, G. (2003). Rescaled variance and related tests for long memory in volatility and levels. Journal of Econometrics, 112(2), 265–294. doi:10.1016/S0304-4076(02)00202-X

Giraitis, L., Kokoszka, P., & Leipus, R. (2000b). Stationary ARCH models: Dependence structure and central limit theorem. Econometric Theory, 16(1), 3–22. doi:10.1017/S026646660016102X

Giraitis, L., Robinson, P. M., & Surgailis, D. (2000c). A model for long memory conditional heteroskedasticity. The Annals of Applied Probability, 10(3), 1002–1024. doi:10.1214/aoap/1019487516

Glosten, L. R., & Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14(1), 71–100. doi:10.1016/0304-405X(85)90044-3

Goldberg, L. S., & Tenorio, R. (1997). Strategic trading in a two-sided foreign exchange auction. Journal of International Economics, 42(3–4), 299–326. doi:10.1016/S0022-1996(96)01458-4

Goldfajn, I., & Valdés, R. O. (1998). Are currency crises predictable? European Economic Review, 42(3–5), 873–885. doi:10.1016/S0014-2921(97)00144-2

Goodhart, C. (1988). The foreign exchange market: A random walk with a dragging anchor. Economica, 55(220), 437–480. doi:10.2307/2554247

Gopikrishnan, P., Meyer, M., Amaral, L. A. N., & Stanley, H. E. (1998). Inverse cubic law for the distribution of stock price variations. The European Physical Journal B, 3(2), 139–140. (Circulated as arXiv:cond-mat/9803374). doi:10.1007/s100510050292

Gopikrishnan, P., Plerou, V., Amaral, L. A. N., Meyer, M., & Stanley, H. E. (1999). Scaling of the distribution of fluctuations of financial market indices. Physical Review E, 60(5), 5305–5316. doi:10.1103/PhysRevE.60.5305

Gopikrishnan, P., Plerou, V., Gabaix, X., & Stanley, H. E. (2000). Statistical properties of share volume traded in financial markets. Physical Review E, 62(4), R4493–R4496. doi:10.1103/PhysRevE.62.R4493

Gouriéroux, C., & Jasiak, J. (2001). Memory and infrequent breaks. Economics Letters, 70(1), 29–41. doi:10.1016/S0165-1765(00)00344-9

Granger, C. W. J., & Ding, Z. (1995). Some properties of absolute returns: An alternative measure of risk. Annales d'Économie et de Statistique, (40), 67–91. doi:10.2307/20076018

Granger, C. W. J., & Hyung, N. (2004). Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns. Journal of Empirical Finance, 11(3), 399–421. (Circulated in 1999 as UCSD Discussion Paper). doi:10.1016/j.jempfin.2003.03.001

Granger, C. W. J., & Teräsvirta, T. (1993). Modelling non-linear economic relationships. Oxford University Press.

Granger, C. W. J. (1980). Long memory relationships and the aggregation of dynamic models. Journal of Econometrics, 14(2), 227–238. doi:10.1016/0304-4076(80)90092-5

Hall, P. (1982). On some simple estimates of an exponent of regular variation. Journal of the Royal Statistical Society: Series B (Methodological), 44(1), 37–42. doi:10.1111/j.2517-6161.1982.tb01183.x

Hamilton, J. D., & Susmel, R. (1994). Autoregressive conditional heteroskedasticity and changes in regime. Journal of Econometrics, 64(1–2), 307–333. doi:10.1016/0304-4076(94)90067-7

Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), 357–384. doi:10.2307/1912559

Hamilton, J. D. (1993). Estimation, inference and forecasting of time series subject to changes in regime. In G. S. Maddala, C. R. Rao, & H. D. Vinod (Eds.), Handbook of statistics (Vol. 11, pp. 231–260). Elsevier Science. doi:10.1016/S0169-7161(05)80044-4

Hamilton, J. D. (1994). Time series analysis. Princeton University Press.

Hansen, B. E. (1994). Autoregressive conditional density estimation. International Economic Review, 35(3), 705–730. doi:10.2307/2527078

Hansen, B. E. (1996). Inference when a nuisance parameter is not identified under the null hypothesis. Econometrica, 64(2), 413–430. doi:10.2307/2171789

Hansen, B. E. (1997). Inference in TAR models. Studies in Nonlinear Dynamics & Econometrics, 2(1), 1–14. doi:10.2202/1558-3708.1024

Harsanyi, J. C., & Selten, R. (1988). A general theory of equilibrium selection in games. MIT Press.

Heinemann, F., & Illing, G. (2002). Speculative attacks: Unique equilibrium and transparency. Journal of International Economics, 58(2), 429–450. doi:10.1016/S0022-1996(02)00007-3

Hellwig, C. (2002). Public information, private information, and the multiplicity of equilibria in coordination games. Journal of Economic Theory, 107(2), 191–222. (Circulated in 2001 as LSE Working Paper). doi:10.1006/jeth.2001.2949

Henry, M. (2001). Robust automatic bandwidth for long memory. Journal of Time Series Analysis, 22(3), 293–316. doi:10.1111/1467-9892.00226

Herrendorf, B., Valentinyi, A., & Waldmann, R. (2000). Ruling out multiplicity and indeterminacy: The role of heterogeneity. The Review of Economic Studies, 67(2), 295–307. doi:10.1111/1467-937X.00132

Higgins, M. L., & Bera, A. K. (1992). A class of nonlinear ARCH models. International Economic Review, 33(1), 137–158. doi:10.2307/2526988

Hill, B. M. (1975). A simple general approach to inference about the tail of a distribution. The Annals of Statistics, 3(5), 1163–1174. doi:10.1214/aos/1176343247

Ho, T. S. Y., & Stoll, H. R. (1983). The dynamics of dealer markets under competition. The Journal of Finance, 38(4), 1053–1074. doi:10.1111/j.1540-6261.1983.tb02283.x

Hsieh, D. A., & Kleidon, A. W. (1996). Bid-ask spreads in foreign exchange markets: Implications for models of asymmetric information. In J. A. Frankel, G. Galli, & A. Giovannini (Eds.), The microstructure of foreign exchange markets (pp. 41–65). University of Chicago Press.

Hsieh, D. A. (1989). A nonlinear stochastic rational expectations model of exchange rates (Working Paper). Fuqua School of Business, Duke University.

Hsieh, D. A. (1989). Testing for nonlinear dependence in daily foreign exchange rates. The Journal of Business, 62(3), 339–368. doi:10.1086/296466

Huang, R. D., & Masulis, R. W. (1999). FX spread and dealer competition across the 24-hour trading day. The Review of Financial Studies, 12(1), 61–93. doi:10.1093/rfs/12.1.61

Huisman, R., Koedijk, K. G., Kool, C. J. M., & Palm, F. (2001). Tail-index estimates in small samples. Journal of Business & Economic Statistics, 19(2), 208–216. (Misprinted as Pownfall in original thesis). doi:10.1198/073500101316970421

Huisman, R., Koedijk, K. G., & Pownall, R. A. J. (2002). The tail-fatness of FX returns reconsidered (Working Paper). Erasmus University Rotterdam.

Hurst, H. E. (1951). Long-term storage capacity of reservoirs. Transactions of the American Society of Civil Engineers, 116(1), 770–799. doi:10.1061/TACEAT.0006518

Iori, G. (2002). A microsimulation of traders activity in the stock market: The role of heterogeneity, agents' interactions and trade frictions. Journal of Economic Behavior & Organization, 49(2), 269–285. doi:10.1016/S0167-2681(02)00069-6

Ito, T., Lyons, R. K., & Melvin, M. T. (1998). Is there private information in the FX market? The Tokyo experiment. The Journal of Finance, 53(3), 1111–1130. doi:10.1111/0022-1082.00045

Jeanne, O., & Masson, P. (2000). Currency crises, sunspots and Markov-switching regimes. Journal of International Economics, 50(2), 327–350. doi:10.1016/S0022-1996(99)00007-7

Jeanne, O., & Rose, A. K. (2002). Noise trading and exchange rate regimes. The Quarterly Journal of Economics, 117(2), 537–569. doi:10.1162/003355302753650328

Jefferies, P., Hart, M. L., Hui, P. M., & Johnson, N. F. (2001). From market games to real-world markets. The European Physical Journal B, 20(4), 493–501. (Circulated in 2000 as arXiv:cond-mat/0008387). doi:10.1007/PL00011119

Johnson, N. F., Lamper, D., Jefferies, P., Hart, M. L., & Howison, S. (2001). Application of multi-agent games to the prediction of financial time-series (arXiv:cond-mat/0105303). arXiv. doi:10.48550/arXiv.cond-mat/0105303

Johnson, T. L. (2002). Volatility, momentum, and time-varying skewness in foreign exchange returns. Journal of Business & Economic Statistics, 20(3), 390–411. doi:10.1198/073500102288618522

Jorion, P. (1988). On jump processes in the foreign exchange and stock markets. The Review of Financial Studies, 1(4), 427–445. doi:10.1093/rfs/1.4.427

Kaminsky, G., Lyons, R., & Schmukler, S. (2001). Mutual fund investment in emerging markets: An overview. The World Bank Economic Review, 15(2), 315–340. (Circulated in 2000 as World Bank Working Paper). doi:10.1093/wber/15.2.315

Kaminsky, G. L. (1999). Currency and banking crises: The early warnings of distress (IMF Working Paper No. 99/178). International Monetary Fund.

Karpoff, J. M. (1987). The relation between price changes and trading volume: A survey. Journal of Financial and Quantitative Analysis, 22(1), 109–126. doi:10.2307/2330874

Kim, W., & Wei, S.-J. (2002). Foreign portfolio investors before and during a crisis. Journal of International Economics, 56(1), 77–96. (Circulated in 1999 as NBER Working Paper No. 6968). doi:10.1016/S0022-1996(01)00109-6

Kirman, A., & Teyssière, G. (2002a). Bubbles and long-range dependence in asset price volatilities. In C. Hommes, R. Ramer, & C. Withagen (Eds.), Equilibrium, markets and dynamics: Essays in honour of Claus Weddepohl (pp. 307–327). Springer-Verlag. doi:10.1007/978-3-642-56157-3_21

Kirman, A., & Teyssière, G. (2002b). Microeconomic models for long memory in the volatility of financial time series. Studies in Nonlinear Dynamics & Econometrics, 5(4), 281–302. doi:10.2202/1558-3708.1085

Kirman, A. (1991). Epidemics of opinion and speculative bubbles in financial markets. In M. P. Taylor (Ed.), Money and financial markets (pp. 354–368). Blackwell.

Kirman, A. (1993). Ants, rationality, and recruitment. The Quarterly Journal of Economics, 108(1), 137–156. doi:10.2307/2118498

Kokoszka, P., & Leipus, R. (2000). Change-point estimation in ARCH models. Bernoulli, 6(3), 513–539. doi:10.2307/3318671

Kokoszka, P., & Teyssière, G. (2002). Change-point in GARCH models: Asymptotic and bootstrap tests (Working Paper). University of Liverpool / Université de Lille.

Kräger, H., & Kugler, P. (1993). Non-linearities in foreign exchange markets: A different perspective. Journal of International Money and Finance, 12(2), 195–208. doi:10.1016/0261-5606(93)90022-B

Krämer, W., Sibbertsen, P., & Kleiber, C. (2002). Long memory versus structural change for telegraphic flows on the Rothschild bank. Journal of Applied Statistics, 29(1–4), 605–619. (Circulated in 2001 as Working Paper). doi:10.1080/02664760120108861

Kraus, A., & Smith, M. (1998). Endogenous sunspots, pseudo-bubbles, and beliefs about beliefs. Journal of Financial Markets, 1(2), 151–174. doi:10.1016/S1386-4181(97)00007-1

Krugman, P. (1979). A model of balance-of-payments crises. Journal of Money, Credit and Banking, 11(3), 311–325. doi:10.2307/1991793

Krugman, P. (1996). Are currency crises self-fulfilling? NBER Macroeconomics Annual, 11, 345–378. doi:10.1086/653974

Kumar, M. S., Moorthy, U., & Perraudin, W. (2003). Predicting emerging market currency crashes. Journal of Empirical Finance, 10(4), 427–454. (Volume erroneously cited as 204 in original draft). doi:10.1016/S0927-5398(02)00068-3

Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1–3), 159–178. doi:10.1016/0304-4076(92)90104-Y

Kyrtsou, C., & Terraza, M. (2003). Interaction between financial randomness and exogenous shocks. Computational Economics, 21(1), 115–129. (Circulated in 2001 as LAMETA Document de Travail No. 2001-29). doi:10.1023/A:1022989505672

Lardic, S., & Mignon, V. (2002). Économétrie des séries temporelles macroéconomiques et financières. Economica.

Laurent, S., & Peters, J.-P. (2002). GARCH 2.2: An Ox package for estimating and forecasting various ARCH models. Journal of Economic Surveys, 16(3), 447–485. doi:10.1111/1467-6419.00175

LeBaron, B., Arthur, W. B., & Palmer, R. (1999). Time series properties of an artificial stock market. Journal of Economic Dynamics and Control, 23(9–10), 1487–1516. doi:10.1016/S0165-1889(98)00081-1

LeBaron, B. (1992). Some relations between volatility and serial correlations in stock market returns. The Journal of Business, 65(2), 199–219. doi:10.1086/296565

LeBaron, B. (1993). Forecast improvements using a volatility index. In M. H. Pesaran & S. M. Potter (Eds.), Nonlinear dynamics, chaos and econometrics (pp. 95–108). John Wiley & Sons.

LeBaron, B. (1997). A fast algorithm for the BDS statistic. Studies in Nonlinear Dynamics & Econometrics, 2(2), 53–59. doi:10.2202/1558-3708.1020

LeBaron, B. (2000). Agent-based computational finance: Suggested readings and early research. Journal of Economic Dynamics and Control, 24(5–7), 679–702. doi:10.1016/S0165-1889(99)00022-6

LeBaron, B. (2001a). Evolution and time horizons in an agent-based stock market. Macroeconomic Dynamics, 5(2), 225–254. doi:10.1017/S1365100501020037

LeBaron, B. (2006). Volatility magnification and persistence in an agent-based financial market. Computational Economics, 28(2), 115–134. (Circulated in 2001 as Working Paper). doi:10.1007/s10614-006-9045-8

LeBaron, B. (2001b). Stochastic volatility as a simple generator of apparent financial power laws and long memory. Quantitative Finance, 1(6), 621–631. doi:10.1080/713666005

Lee, D., & Schmidt, P. (1996). On the power of the KPSS test of stationarity against fractionally-integrated alternatives. Journal of Econometrics, 73(1), 285–302. doi:10.1016/0304-4076(95)01741-0

Lee, J. H. H. (1991). A Lagrange multiplier test for GARCH models. Economics Letters, 37(3), 265–271. doi:10.1016/0165-1765(91)90226-Y

Lee, S.-W., & Hansen, B. E. (1994). Asymptotic theory for the GARCH(1,1) quasi-maximum likelihood estimator. Econometric Theory, 10(1), 29–52. doi:10.1017/S0266466600008249

Lee, T.-H., White, H., & Granger, C. W. J. (1993). Testing for neglected nonlinearity in time series models: A comparison of neural network methods and alternative tests. Journal of Econometrics, 56(3), 269–290. doi:10.1016/0304-4076(93)90122-L

Lequeux, P. (1999). Real trading volume and price action in the foreign exchange markets. In J. Knight & S. Satchell (Eds.), Forecasting volatility in the financial markets (pp. 219–246). Butterworth-Heinemann. doi:10.1016/B978-0-7506-6151-5.50012-6

Levy, M., Levy, H., & Solomon, S. (2000). Microscopic simulation of financial markets: From investor behavior to market phenomena. Academic Press.

Liesenfeld, R., & Jung, R. C. (2000). Stochastic volatility models: Conditional normality versus heavy-tailed distributions. Journal of Applied Econometrics, 15(2), 137–160. doi:10.1002/(SICI)1099-1255(200003/04)15:2<137::AID-JAE550>3.0.CO;2-6

Liesenfeld, R. (1998). Dynamic bivariate mixture models: Modeling the behavior of prices and trading volume. Journal of Business & Economic Statistics, 16(1), 101–109. doi:10.1080/07350015.1998.10524744

Liesenfeld, R. (2001). A generalized bivariate mixture model for stock price volatility and trading volume—An application to NYSE stocks. Journal of Econometrics, 104(1), 141–178. doi:10.1016/S0304-4076(01)00060-8

Lobato, I. N., & Robinson, P. M. (1998). A non-parametric test for I(0). The Review of Economic Studies, 65(3), 475–495. doi:10.1111/1467-937X.00054

Lobato, I. N., & Velasco, C. (2000). Long memory in stock-market trading volume. Journal of Business & Economic Statistics, 18(4), 410–427. doi:10.1080/07350015.2000.10509813

Lombardi, M. J., & Gallo, G. M. (2002). Analytic Hessian matrices and the computation of FIGARCH estimates (Working Paper). Dipartimento di Statistica "G. Parenti", Università di Firenze.

Loretan, M., & Phillips, P. C. B. (1994). Testing the covariance stationarity of heavy-tailed time series: An overview of the theory with applications to several financial datasets. Journal of Empirical Finance, 1(2), 211–248. doi:10.1016/0927-5398(94)90004-9

Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation. The Journal of Finance, 55(4), 1705–1765. doi:10.1111/0022-1082.00265

Lo, A. W., & MacKinlay, A. C. (1988). Stock market prices do not follow random walks: Evidence from a simple specification test. The Review of Financial Studies, 1(1), 41–66. doi:10.1093/rfs/1.1.41

Lo, A. W. (1991). Long-term memory in stock market prices. Econometrica, 59(5), 1279–1313. doi:10.2307/2938368

Lui, Y.-H., & Mole, D. (1998). The use of fundamental and technical analyses by foreign exchange dealers: Hong Kong evidence. Journal of International Money and Finance, 17(3), 535–545. doi:10.1016/S0261-5606(98)00011-4

Lumsdaine, R. L. (1996). Consistency and asymptotic normality of the quasi-maximum likelihood estimator in IGARCH(1,1) and covariance stationary GARCH(1,1) models. Econometrica, 64(3), 575–596. doi:10.2307/2171863

Lux, T., & Marchesi, M. (1999). Scaling and criticality in a stochastic multi-agent model of a financial market. Nature, 397(6719), 498–500. doi:10.1038/17290

Lux, T., & Marchesi, M. (2000). Volatility clustering in financial markets: A microsimulation of interacting agents. International Journal of Theoretical and Applied Finance, 3(4), 675–702. doi:10.1142/S0219024900000826

Lux, T. (1995). Herd behaviour, bubbles and crashes. The Economic Journal, 105(431), 881–896. doi:10.2307/2235156

Lux, T. (1997). Time variation of second moments from a noise trader/infection model. Journal of Economic Dynamics and Control, 22(1), 1–38. doi:10.1016/S0165-1889(97)00049-X

Lux, T. (1998). The socio-economic dynamics of speculative markets: Interacting agents, chaos, and the fat tails of return distributions. Journal of Economic Behavior & Organization, 33(2), 143–165. doi:10.1016/S0167-2681(97)00088-7

Lux, T. (2008). The Markov-switching multifractal model of asset returns: GMM estimation and practical performance of extreme forecasts. Journal of Business & Economic Statistics, 26(2), 194–210. (Circulated in 2001/2003 as Working Paper). doi:10.1198/073500107000000033

Lux, T. (2001). Turbulence in financial markets: The surprising explanatory power of simple cascade models. Quantitative Finance, 1(6), 632–640. doi:10.1088/1469-7688/1/6/305

Lux, T. (2004). Detecting multi-fractal properties in asset returns: The failure of the "scaling estimator". International Journal of Modern Physics C, 15(4), 481–491. (Circulated in 2003 as Kiel Working Paper 1162). doi:10.1142/S0129183104006003

Lyons, R. K., & Rose, A. K. (1995). Explaining forward exchange bias... intraday. The Journal of Finance, 50(4), 1321–1329. doi:10.1111/j.1540-6261.1995.tb04060.x

Lyons, R. K. (1997). A simultaneous trade model of the foreign exchange hot potato. Journal of International Economics, 42(3–4), 275–298. doi:10.1016/S0022-1996(96)01460-2

Lyons, R. K. (1998). Profits and position control: A week of FX dealing. Journal of International Money and Finance, 17(1), 97–115. doi:10.1016/S0261-5606(97)00052-1

Lyons, R. K. (2001). The microstructure approach to exchange rates. MIT Press.

MacDonald, R. (1999). Exchange rate behaviour: Are fundamentals important? The Economic Journal, 109(459), F673–F691. doi:10.1111/1468-0297.00481

Madhavan, A., & Smidt, S. (1991). A Bayesian model of intraday specialist pricing. Journal of Financial Economics, 30(1), 99–134. doi:10.1016/0304-405X(91)90040-Z

Madhavan, A., & Smidt, S. (1993). An analysis of changes in specialist inventories and quotations. The Journal of Finance, 48(5), 1595–1628. doi:10.1111/j.1540-6261.1993.tb05122.x

Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205–258. doi:10.1016/S1386-4181(00)00007-0

Maheu, J. M., & McCurdy, T. H. (2000). Identifying bull and bear markets in stock returns. Journal of Business & Economic Statistics, 18(1), 100–112. doi:10.1080/07350015.2000.10509779

Mandelbrot, B. B. (1963). The variation of certain speculative prices. The Journal of Business, 36(4), 394–419. doi:10.1086/294632

Mandelbrot, B. B. (1997a). Fractals and scaling in finance: Discontinuity, concentration, risk. Springer-Verlag. doi:10.1007/978-1-4757-2763-0

Mantegna, R. N., & Stanley, H. E. (2000). An introduction to econophysics: Correlations and complexity in finance. Cambridge University Press. doi:10.1017/CBO9780511755767

Marsh, I. W. (2000). High-frequency Markov switching models in the foreign exchange market. Journal of Forecasting, 19(2), 123–134. doi:10.1002/(SICI)1099-131X(200003)19:2<123::AID-FOR752>3.0.CO;2-K

Masson, P. (1999). Contagion: Macroeconomic models with multiple equilibria. Journal of International Money and Finance, 18(4), 587–602. doi:10.1016/S0261-5606(99)00016-9

Masson, P. (2001). Multiple equilibria, contagion, and the emerging market crises. In R. Glick, R. Moreno, & M. M. Spiegel (Eds.), Financial crises in emerging markets (pp. 84–98). Cambridge University Press. doi:10.1017/CBO9780511528453.005

Metz, C. E. (2002). Private versus public information in self-fulfilling currency crises (Discussion Paper No. 41). University of Kassel.

Mikosch, T., & Stărică, C. (2000). Change of structure in financial time series, very long range dependence and the GARCH model (Preprint No. 4). Chalmers University of Technology.

Mikosch, T., & Stărică, C. (2003). Long-range dependence and ARCH modelling. In P. Doukhan, G. Oppenheim, & M. S. Taqqu (Eds.), Theory and applications of long-range dependence (pp. 439–459). Birkhäuser. doi:10.1007/978-1-4612-0131-1_20

Milgrom, P., & Stokey, N. (1982). Information, trade and common knowledge. Journal of Economic Theory, 26(1), 17–27. doi:10.1016/0022-0531(82)90046-1

Milgrom, P. (1981). An axiomatic characterization of common knowledge. Econometrica, 49(1), 219–222. doi:10.2307/1912129

Mooney, C. Z., & Duval, R. D. (1993). Bootstrapping: A nonparametric approach to statistical inference. Sage Publications. doi:10.4135/9781412983532

Morris, S., & Shin, H. S. (1998). Unique equilibrium in a model of self-fulfilling currency attacks. American Economic Review, 88(3), 587–597.

Morris, S., & Shin, H. S. (1999). A theory of the onset of currency attacks. In P.-R. Agénor, M. Miller, D. Vines, & A. Weber (Eds.), The Asian financial crisis: Causes, contagion and consequences (pp. 230–255). Cambridge University Press. doi:10.1017/CBO9780511559648.010

Morris, S., & Shin, H. S. (2003). Global games: Theory and applications. In M. Dewatripont, L. P. Hansen, & S. J. Turnovsky (Eds.), Advances in economics and econometrics: Theory and applications, Eighth World Congress (Vol. 1, pp. 56–114). Cambridge University Press. doi:10.1017/CBO9780511610240.004

Morris, S., & Shin, H. S. (2000). Rethinking multiple equilibria in macroeconomic modeling. NBER Macroeconomics Annual, 15, 139–161. doi:10.1086/653995

Morris, S. (1994). Trade with heterogeneous prior beliefs and asymmetric information. Econometrica, 62(6), 1327–1347. doi:10.2307/2951751

Müller, U. A., Dacorogna, M. M., Davé, R. D., Olsen, R. B., Pictet, O. V., & von Weizsäcker, J. E. (1997). Volatilities of different time resolutions—Analyzing the dynamics of market components. Journal of Empirical Finance, 4(2–3), 213–239. doi:10.1016/S0927-5398(97)00008-X

Müller, U. A., Dacorogna, M. M., Olsen, R. B., Pictet, O. V., Schwarz, M., & Morgenegg, C. (1990). Statistical study of foreign exchange rates, empirical evidence of a price change scaling law, and intraday analysis. Journal of Banking & Finance, 14(6), 1189–1208. doi:10.1016/0378-4266(90)90009-Q

Mundaca, B. G. (2001). The effect of interventions on realignment probabilities. Journal of International Financial Markets, Institutions and Money, 11(3–4), 323–347. doi:10.1016/S1062-9408(01)00049-8

Muzy, J. F., Delour, J., & Bacry, E. (2000). Modelling fluctuations of financial time series: From stochastic process to stochastic volatility model. The European Physical Journal B, 17(3), 537–548. doi:10.1007/s100510070131

Muzy, J.-F., Sornette, D., Delour, J., & Arneodo, A. (2001). Multifractal returns and hierarchical portfolio theory. Quantitative Finance, 1(1), 131–148. doi:10.1088/1469-7688/1/1/314

Neely, C. J. (1999). Target zones and conditional volatility: The role of realignments. Journal of Empirical Finance, 6(2), 177–192. doi:10.1016/S0927-5398(98)00010-3

Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708. doi:10.2307/1913610

Nieuwland, F. G. M., Verschoor, W. F. C., & Wolff, C. C. P. (1994). Stochastic trends and jumps in EMS exchange rates. Journal of International Money and Finance, 13(6), 699–727. doi:10.1016/0261-5606(94)90006-9

Nyblom, J. (1989). Testing for the constancy of parameters over time. Journal of the American Statistical Association, 84(405), 223–230. doi:10.1080/01621459.1989.10478759

Obstfeld, M. (1986). Rational and self-fulfilling balance-of-payments crises. The American Economic Review, 76(1), 72–81.

Obstfeld, M. (1996). Models of currency crises with self-fulfilling features. European Economic Review, 40(3–5), 1037–1047. doi:10.1016/0014-2921(95)00111-5

O'Hara, M. (1995). Market microstructure theory. Blackwell.

Orléan, A. (1995). Bayesian interactions and collective dynamics of opinion: Herd behavior and mimetic contagion. Journal of Economic Behavior & Organization, 28(2), 257–274. doi:10.1016/0167-2681(95)00035-7

Orléan, A. (2001, October). L’hypothèse autoréférentielle appliquée à la finance. Paper presented at the 3rd Conference of the Saint-Gobain Centre for Research in Economics, Paris, France.

Palm, F. C. (1996). GARCH models of volatility. In G. S. Maddala & C. R. Rao (Eds.), Handbook of statistics (Vol. 14, pp. 209–240). Elsevier Science. doi:10.1016/S0169-7161(96)14009-8

Parisi, G., & Frisch, U. (1985). On the singularity structure of fully developed turbulence. In M. Ghil, R. Benzi, & G. Parisi (Eds.), Turbulence and predictability in geophysical fluid dynamics and climate dynamics (pp. 84–87). North-Holland.

Parkinson, M. (1980). The extreme value method for estimating the variance of the rate of return. The Journal of Business, 53(1), 61–65. doi:10.1086/296071

Pasquini, M., & Serva, M. (1999). Multiscale behaviour of volatility autocorrelations in a financial market. Economics Letters, 65(3), 275–279. doi:10.1016/S0165-1765(99)00157-2

Peiers, B. (1997). Informed traders, intervention, and price leadership: A deeper view into foreign exchange microstructure. The Journal of Finance, 52(4), 1589–1614. doi:10.1111/j.1540-6261.1997.tb01122.x

Perraudin, W., & Vitale, P. (1996). Interdealer trade and information flows in a decentralized foreign exchange market. In J. A. Frankel, G. Galli, & A. Giovannini (Eds.), The microstructure of foreign exchange markets (pp. 73–99). University of Chicago Press.

Peters, E. E. (1994). Fractal market analysis: Applying chaos theory to investment and economics. John Wiley & Sons.

Peters, J.-P. (2001). Estimating and forecasting volatility of stock indices using asymmetric GARCH models and (skewed) Student-t densities (Working Paper). Université de Liège.

Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. doi:10.1093/biomet/75.2.335

Potter, S. M. (1995). A nonlinear approach to US GNP. Journal of Applied Econometrics, 10(2), 109–125. doi:10.1002/jae.3950100203

Potter, S. M. (1999). Nonlinear time series modelling: An introduction. Journal of Economic Surveys, 13(5), 505–528. doi:10.1111/1467-6419.00096

Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1992). Numerical recipes in C: The art of scientific computing (2nd ed.). Cambridge University Press.

Qi, M. (1996). Financial applications of artificial neural networks. In G. S. Maddala & C. R. Rao (Eds.), Handbook of statistics (Vol. 14, pp. 529–552). Elsevier Science. doi:10.1016/S0169-7161(96)14019-0

Qi, R. (2001). Return-volume relation in the tail: Evidence from six emerging markets (Working Paper). St. John's University.

Quintos, C., Fan, Z., & Phillips, P. C. B. (2001). Structural change in tail behavior and the Asian crisis. Econometrica, 69(3), 633–663. doi:10.1111/1468-0262.00208

Reiss, P. C., & Werner, I. M. (2005). Interdealer trading in competition for order flow. The Journal of Finance, 60(6), 2835–2877. (Circulated in 1999 as "Adverse selection in dealers' choice of interdealer trading system"). doi:10.1111/j.1540-6261.2005.00818.x

Rime, D. (2001). Trading in foreign exchange markets: Four essays on the market microstructure of foreign exchange markets (Doctoral dissertation). Department of Economics, University of Oslo.

Robinson, P. M. (1994). Semiparametric analysis of long-memory time series. The Annals of Statistics, 22(1), 515–539. doi:10.1214/aos/1176325379

Robinson, P. M. (1995). Gaussian semiparametric estimation of long range dependence. The Annals of Statistics, 23(5), 1630–1661. doi:10.1214/aos/1176324317

Robinson, P. M. (2001). The memory of stochastic volatility models. Journal of Econometrics, 101(2), 195–218. doi:10.1016/S0304-4076(00)00080-8

Rogers, L. C. G., & Satchell, S. E. (1991). Estimating variance from high, low and closing prices. The Annals of Applied Probability, 1(4), 504–512. doi:10.1214/aoap/1177005835

Rydén, T., Teräsvirta, T., & Åsbrink, S. (1998). Stylized facts of daily return series and the hidden Markov model. Journal of Applied Econometrics, 13(3), 217–244. doi:10.1002/(SICI)1099-1255(199805/06)13:3<217::AID-JAE476>3.0.CO;2-U

Sachs, J. D., Tornell, A., & Velasco, A. (1996). Financial crises in emerging markets: The lessons from 1995. Brookings Papers on Economic Activity, 1996(1), 147–215. doi:10.2307/2534648

Sbracia, A., & Zaghini, A. (2001). Expectations and information in second-generation currency crisis models. Economic Modelling, 18(2), 203–222. doi:10.1016/S0264-9993(00)00035-7

Shleifer, A. (2000). Inefficient markets: An introduction to behavioral finance. Oxford University Press. doi:10.1093/0198292279.001.0001

Schmitt, F., Schertzer, D., & Lovejoy, S. (1999). Multifractal analysis of foreign exchange data. Applied Stochastic Models in Business and Industry, 15(1), 29–53. doi:10.1002/(SICI)1526-4025(199901/03)15:1<29::AID-ASMB361>3.0.CO;2-4

Schmitt, F., Schertzer, D., & Lovejoy, S. (2000). Multifractal fluctuations in finance. International Journal of Theoretical and Applied Finance, 3(3), 361–364. doi:10.1142/S0219024900000176

Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464. doi:10.1214/aos/1176344136

Sin, C.-Y., & White, H. (1996). Information criteria for selecting possibly misspecified parametric models. Journal of Econometrics, 71(1–2), 207–225. doi:10.1016/0304-4076(94)01701-8

Sjöö, B., & Sweeney, R. J. (2000). Time-varying foreign exchange risk and central bank intervention: Estimating profits from intervention and speculation. Journal of International Financial Markets, Institutions and Money, 10(3–4), 275–286. doi:10.1016/S1062-9408(00)00038-8

Snell, A., & Tonks, I. (1998). Testing for asymmetric information and inventory control effects in market maker behaviour on the London Stock Exchange. Journal of Empirical Finance, 5(1), 1–25. doi:10.1016/S0927-5398(96)00016-3

Sun, X., Chen, H., Wu, Z., & Yuan, Y. (2001). Multifractal analysis of Hang Seng index in Hong Kong stock market. Physica A: Statistical Mechanics and its Applications, 291(1–4), 553–562. doi:10.1016/S0378-4371(00)00593-8

Tan, K. J., & Chan, I. K. (2003). Stress-testing using VaR approach—A case for Asian currencies. Journal of International Financial Markets, Institutions and Money, 13(1), 39–59. doi:10.1016/S1062-9408(02)00018-3

Tauchen, G. E., & Pitts, M. (1983). The price variability-volume relationship on speculative markets. Econometrica, 51(2), 485–505. doi:10.2307/1912002

Taylor, M. P., & Allen, H. (1992). The use of technical analysis in the foreign exchange market. Journal of International Money and Finance, 11(3), 304–314. doi:10.1016/0261-5606(92)90048-3

Taylor, S. J. (1986). Modelling financial time series. John Wiley & Sons.

Taylor, S. J. (1994). Modeling stochastic volatility: A review and comparative study. Mathematical Finance, 4(2), 183–204. doi:10.1111/j.1467-9965.1994.tb00057.x

Teïletche, J. (2000). Microstructure et dynamique à très haute fréquence des taux de change (Doctoral dissertation). Université Montesquieu - Bordeaux IV.

Teyssière, G. (1998). Multivariate long memory ARCH for high frequency foreign exchange rates. In Proceedings of the HFDF-II Conference: High Frequency Data in Finance, Olsen & Associates, Zurich.

Teyssière, G. (2003). Interaction models for common long-range dependence in asset price volatilities. In P. Doukhan, G. Oppenheim, & M. S. Taqqu (Eds.), Theory and applications of long-range dependence (pp. 461–466). Birkhäuser. doi:10.1007/978-1-4612-0131-1_21

Todorovic, P. (1992). An introduction to stochastic processes and their applications. Springer-Verlag. doi:10.1007/978-1-4612-0941-6

Topol, R. (1991). Bubbles and volatility of stock prices: Effect of mimetic contagion. The Economic Journal, 101(407), 786–800. (Preserving the intended GDR/Poitiers conference paper on 'The role of beliefs on financial markets: representativeness and contagion'). doi:10.2307/2233855

Ureche-Rangau, L. (2002). Currency substitution and money demand in developing countries (Working Paper). Université d'Orléans / IESEG.

Velasco, A. (1987). Financial and balance-of-payments crises: A simple model of the Southern Cone experience. Journal of Development Economics, 27(1–2), 263–283. doi:10.1016/0304-3878(87)90018-9

Vitale, P. (2000). Speculative noise trading and manipulation in the foreign exchange market. Journal of International Money and Finance, 19(5), 689–712. doi:10.1016/S0261-5606(00)00028-4

Vlaar, P. J. G., & Palm, F. C. (1993). The message in weekly exchange rates in the EMS: Mean and conditional variance dynamics. Journal of Business & Economic Statistics, 11(3), 351–360. doi:10.1080/07350015.1993.10509961

Vogler, K.-H. (1997). Risk allocation and interdealer trading. European Economic Review, 41(9), 1615–1634. doi:10.1016/S0014-2921(96)00029-6

Wang, F. A. (1998). Strategic trading, asymmetric info, and heterogeneous prior beliefs. Journal of Financial Markets, 1(3–4), 321–352. doi:10.1016/S1386-4181(97)00010-1

Wang, J. (2001). Quote revision and information flow among foreign exchange dealers. Journal of International Financial Markets, Institutions and Money, 11(2), 115–136. doi:10.1016/S1062-9408(00)00062-5

Watanabe, T. (2000). Bayesian analysis of dynamic bivariate mixture models: Can they explain the behavior of returns and trading volume? Journal of Business & Economic Statistics, 18(2), 199–210. doi:10.1080/07350015.2000.10509792

Weiss, A. A. (1986). Asymptotic theory for ARCH models: Estimation and testing. Econometric Theory, 2(1), 107–131. doi:10.1017/S0266466600011401

White, H. (1982). Maximum likelihood estimation of misspecified models. Econometrica, 50(1), 1–25. doi:10.2307/1912526

Winker, P., & Gilli, M. (2004). Indirect estimation of the parameters of agent based models of financial markets. Empirical Economics, 29(4), 743–759. (Circulated in 2001 as Working Paper). doi:10.1007/s00181-004-0209-6

Wolinsky, A. (1990). Information revelation in a market with pairwise meetings. Econometrica, 58(1), 1–23. doi:10.2307/2938332

Wooldridge, J. M. (1991). On the specification and testing of conditional mean and conditional variance models. Journal of Econometrics, 47(1), 5–46. doi:10.1016/0304-4076(91)90076-E

Wright, J. H. (2000). Alternative variance-ratio tests using ranks and signs. Journal of Business & Economic Statistics, 18(1), 1–9. doi:10.1080/07350015.2000.10509770

Youssefmir, M., & Huberman, B. A. (1997). Clustered volatility in multiagent dynamics. Journal of Economic Behavior & Organization, 32(1), 101–118. doi:10.1016/S0167-2681(96)00028-0

Zumbach, G., & Lynch, P. (2001). Heterogeneous volatility cascade in financial markets. Physica A: Statistical Mechanics and its Applications, 298(3–4), 521–529. doi:10.1016/S0378-4371(01)00244-8