From Fama-French to LSTM: Rethinking Risk Factors in the Swedish Stock Market
This paper investigates the application of a Long Short-Term Memory (LSTM) model to construct a forward-looking risk factor for asset pricing. The LSTM model's predictions are utilized to create a novel risk factor, derived from long-short portfolios, offering an innovative approach to decomposing asset returns. For comparative analysis, the Fama-French three-factor (FF3) and Carhart four-fact