Marcin Pitera

Estimating value-at-risk: LSTM vs. GARCH

Abstract Estimating value-at-risk on time series data with potentially heteroskedastic dynamics is a highly challenging task. In practical applications, one often faces limited sample sizes in combination with a high degree of non-linearity, which poses difficulties for both clas...