This note explores machine learning based modelling approach over classical quantitative methods with a focus on modelling realized volatility of asset price over time. Initially, a few modelling assumptions of classical quantitative finance are examined using recent market data. Daily stock...

Information is key to decision-making and is a major determinant of investment performance. We hypothesise that as analysts are constrained by their research resources, they collect information with more externalities. Measuring information externalities as a stock’s fundamental correlations...

This study investigates the effect of stock market overvaluation of non-peer firms on firm investment measured by capital expenditures. To test this effect, Stambaugh et al.’s (2015) misvaluation measure and Text-Based Network Industry Classification (TNIC) codes are used. The results indicate...