Empirical Modeling of Extreme Events from Return { Volume Time Series in Stock Market

We propose the discretization of real-valued nancial time series into few ordinal values and use non-linear likelihood modeling for sparse Markov chains within the framework of generalized linear models for categorical time series. We analyze daily return and volume data and estimate the probability structure of the process of extreme lower, extreme upper… CONTINUE READING