Latent class models in financial data analysis
AbstractThis paper deals with optimal international portfolio choice by developing a latent class approach based on the distinction between international and non-international investors. On the basis of micro data, we analyze the effects of many social, demographic, economic and financial characteristics on the probability to be an international investor. Traditional measures of equity home bias do not allow for the existence of international investment rationing operators. On the contrary, by resorting to latent class analysis it is possible to detect the unobservable distinction between international investors and investors who are precluded from operating into international financial markets and, therefore, to evaluate the role of these unobservable constraints on equity home bias.
How to Cite
Gardini, A., Costa, M., & Iezzi, S. (2005). Latent class models in financial data analysis. Statistica, 65(1), 41–60. https://doi.org/10.6092/issn.1973-2201/77
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