Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/32186
Authors: 
Nolte, Ingmar
Voev, Valeri
Year of Publication: 
2007
Series/Report no.: 
Discussion paper series // Zentrum für Finanzen und Ökonometrie, Universität Konstanz 2007,02
Abstract: 
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.
Subjects: 
Trading Activity Datasets
Panel Intensity Models
Latent Factors
Efficient Importance Sampling
Behavioral Finance
JEL: 
G10
F31
C32
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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