Value-at-Risk prediction for the Brazilian stock market: A comparative study between Parametric Method, Feedforward and LSTM Neural Network

Daniel Reghin, Fábio Lopes. Value-at-Risk prediction for the Brazilian stock market: A comparative study between Parametric Method, Feedforward and LSTM Neural Network. In XLV Latin American Computing Conference, CLEI 2019, Panama, September 30 - October 4, 2019. pages 1-11, IEEE, 2019. [doi]

Abstract

Abstract is missing.