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This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...
Persistent link: https://www.econbiz.de/10014433769
This paper explores the ability of financial analysts to gauge the risk taken by banks and investigates the impact of the recent financial crisis. Using a sample of 36,343 analyst forecasts issued for 411 European banks over 2003-2009 we find that analyst forecasts are influenced by risk, the...
Persistent link: https://www.econbiz.de/10013113856
In this paper, we assess the Value at Risk (VaR) prediction accuracy and efficiency of six ARCH-type models, six realized volatility models and two GARCH models augmented with realized volatility regressors. The α-th quantile of the innovation's distribution is estimated with the fully...
Persistent link: https://www.econbiz.de/10013126884
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Recent research suggests that machine learning models dominate traditional linear models in predicting cross-sectional stock returns. We confirm this finding when predicting one-month forward-looking returns based on a set of common stock characteristics, including predictors such as short-term...
Persistent link: https://www.econbiz.de/10012840386
Prediction of stock prices has become an important area of research in the field of financial analytics and has garnered a lot of attention among academicians. Drawing on the literature on application of econometric tools and also machine learning techniques, this paper presents a framework for...
Persistent link: https://www.econbiz.de/10012956616
We apply four machine learning methods to cross-sectional return prediction for hedge fund selection. We equip the forecast model with a set of idiosyncratic features, which are derived from historical returns of a hedge fund and capture a variety of fund-specific information. Evaluating the...
Persistent link: https://www.econbiz.de/10012898359
We use machine learning tools to analyze industry return predictability based on theinformation in lagged industry returns from across the entire economy. Controlling forpost-selection inference and multiple testing, we nd significant in-sample evidence ofindustry return predictability. Lagged...
Persistent link: https://www.econbiz.de/10012900047
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