Applications of state space models in finance

References 197
Harvey, A. C., E. Ruiz, and N. Shephard (1994). Multivariate stochastic variance models.
Review of Economic Studies 61 (2).
Harvey, A. C. and N. Shephard (1993). Structural time series models. In G. S. Maddala, C. R.
Rao, and H. D. Vinod (Eds.), Handbook of Statistics, Volume 11, pp. 261–302. Amsterdam,
The Netherlands: Elsevier Science Publishers B. V.
Harvey, A. C. and N. Shephard (1996). Estimation of an asymmetric stochastic volatility model
for asset returns. Journal of Business and Economic Statistics 14 (4), 429–434.
Hentschel, L. (1995). All in the family: Nesting symmetric and asymmetric GARCH models.
Journal of Financial Economics 39 (1), 71–104.
Hildreth, C. and J. Houck (1968). Some estimators for a linear model with random coefficients.
Journal of the American Statistical Association 63 (322), 584–595.
Huang, H.-C. (2000). Tests of regimes-switching CAPM. Applied Financial Economics 10,
573–578.
Isakov, D. and F. Sonney (2004). Are practitioners right? On the relative importance of industrial
factors in international stock returns. Swiss Journal of Economics and Statistics 140 (3),
355–379.
Jacquier, E., N. G. Polson, and P. E. Rossi (1994). Bayesian analysis of stochastic volatility
models. Journal of Business and Economic Statistics 12 (4), 371–389.
Jacquier, E., N. G. Polson, and P. E. Rossi (2004). Bayesian analysis of stochastic volatility
models with fat-tails and correlated errors. Journal of Econometrics 122 (1), 185–212.
Jagannathan, R. and Z. Wang (1996). The conditional CAPM and the cross-section of expected
returns. Journal of Finance 51 (1), 3–53.
Jegadeesh, N. (1990). Evidence of predictable behavior of security returns. Journal of Finance
45 (3), 881–898.
Jegadeesh, N. and S. Titman (1993). Returns to buying winners and selling losers: Implications
for stock market efficiency. Journal of Finance 48 (1), 65–91.
Jegadeesh, N. and S. Titman (2001). Profitability of momentum strategies: An evaluation of
alternative explanations. Journal of Finance 56 (2), 699–720.
Johnson, L. D. and G. Sakoulis (2003). Maximizing equity market sector predictability
in a Bayesian time varying parameter model. Draft version. Available at
http://ssrn.com/abstract=396642 (10.11.2004).
Jones, C. M. and G. Kaul (1996). Oil and the stock markets. Journal of Finance 51 (2),
463–491.
Jorion, P. (1988). On jump processes in the foreign exchange and stock markets. Review of
Financial Studies 1 (4), 427–445.
Judge, G. G., R. C. Hill, W. E. Griffiths, H. Lütkepohl, and T.-C. Lee (1985). The Theory and
Practice of Econometrics (2 ed.). New York, NY, USA: John Wiley & Sons.
Jungbacker, B. and S. J. Koopman (2005a). Monte carlo likelihood estimation for
three multivariate stochastic volatility models. Working Paper, Department of Econometrics,
Free University Amsterdam, Amsterdam, The Netherlands. Available at
http://staff.feweb.vu.nl/koopman/publications/msv.pdf (10.4.2006).
Jungbacker, B. and S. J. Koopman (2005b). On importance sampling for state space models.
Tinbergen Institute Discussion Papers 05-117/4, Tinbergen Institute. Available at
http://ideas.repec.org/p/dgr/uvatin/20050117.html (7.2.2006).
Kalman, R. E. (1960). A new approach to linear filtering and prediction problems. Journal of
Basic Engineering—Transactions of the ASME. Series D 82, 35–45.
Kalman, R. E. (1963). New methods in Wiener filtering theory. In J. L. Bogdanoff and F. kozin
(Eds.), Proceedings of the First Symposium on Engineering Application of Random Function
Theory and Probability. John Wiley & Sons.
Kaufman, L. and P. J. Rousseeuw (2005). Finding Groups in Data: An Introduction to Cluster
Analysis (2 ed.). Hoboken, NJ, USA: Wiley-Interscience.