In this paper we show how the latent Markov model can be used to define different conditions in the stock market, called market- regimes. Changes in regimes can be used to detect financial crises, pinpoint the end of a crisis and predict future developments in the stock market, to some degree....

The financial services sector has internationalized over the last few decades.Important differences and similarities in financial behavior can be anticipated between both consumers within a particular country and those living in different countries.For companies in this market, the appropriate...

A recent development in marketing research concerns the incorporation of dynamics in consumer segmentation.This paper extends the latent class Markov model, a suitable technique for conducting dynamic segmentation, in order to facilitate lead generation.We demonstrate the application of the...