Panel Intensity Models with Latent Factors: An Application to the Trading Dynamics on the Foreign Exchange Market¤
We develop a panel intensity model, with a time varying latent factor, which captures the influence of unobserved time effects and allows for correlation across individuals. The model is designed to analyze individual trading behavior on the basis of trading activity datasets, which are characterized by four dimensions: an irregularly-spaced time scale, trading activity types, trading instruments and investors. Our approach extends the stochastic conditional intensity model of Bauwens & Hautsch (2006) to panel duration data. We show how to estimate the model parameters by a simulated maximum likelihood technique adopting the efficient importance sampling approach of Richard & Zhang (2005). We provide an application to a trading activity dataset from an internet trading platform in the foreign exchange market and we find support for the presence of behavioral biases and discuss implications for portfolio theory.
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- Luc Bauwens & Nikolaus Hautsch, 2006.
"Stochastic Conditional Intensity Processes,"
Journal of Financial Econometrics,
Society for Financial Econometrics, vol. 4(3), pages 450-493.
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- Ingmar Nolte & Sandra Lechner, 2007.
"Customer Trading in the Foreign Exchange Market: Empirical Evidence from an Internet Trading Platform,"
CoFE Discussion Paper
07-03, Center of Finance and Econometrics, University of Konstanz.
- Sandra Lechner & Ingmar Nolte, 2009. "Customer Trading in the Foreign Exchange Market: Empirical Evidence from an Internet Trading Platform," Working Papers wp09-01, Warwick Business School, Finance Group.
- Shapira, Zur & Venezia, Itzhak, 2001. "Patterns of behavior of professionally managed and independent investors," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1573-1587, August.
- Ravi Dhar & Ning Zhu, 2002. "Up Close and Personal: An Individual Level Analysis of the Disposition Effect," Yale School of Management Working Papers ysm269, Yale School of Management, revised 01 Sep 2009.
- Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
- repec:att:wimass:9520 is not listed on IDEAS
- Asger Lunde & Allan Timmermann, 2005. "Completion time structures of stock price movements," Annals of Finance, Springer, vol. 1(3), pages 293-326, 08.
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