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We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...
Persistent link: https://www.econbiz.de/10014322889
This paper studies the predictability of ultra high-frequency stock returns and durations to relevant price, volume and transactions events, using machine learning methods. We find that, contrary to low frequency and long horizon returns, where predictability is rare and inconsistent,...
Persistent link: https://www.econbiz.de/10013362020
valuation of disaster risk. Focusing on media discourse addresses the challenge of sample size even when major disasters are …
Persistent link: https://www.econbiz.de/10014287305
The extant literature predicts market returns with "simple" models that use only a few parameters. Contrary to conventional wisdom, we theoretically prove that simple models severely understate return predictability compared to "complex" models in which the number of parameters exceeds the...
Persistent link: https://www.econbiz.de/10013334435
We argue that comprehensive out-of-sample (OOS) evaluation using statistical decision theory (SDT) should replace the current practice of K-fold and Common Task Framework validation in machine learning (ML) research. SDT provides a formal framework for performing comprehensive OOS evaluation...
Persistent link: https://www.econbiz.de/10014512123
We establish an empirical link between the ex-ante uncertainty about macroeconomic fundamentals and the ex …-post resolution of this uncertainty in financial markets. We measure macroeconomic uncertainty using prices of economic derivatives …. We also examine the relationship between our measure of macroeconomic uncertainty and trading activity in stock and bond …
Persistent link: https://www.econbiz.de/10012466398
stocks and risk-free bonds over its lifecycle. We show that allowing for the wage indexation of social security benefits …
Persistent link: https://www.econbiz.de/10012461633
We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio … return as in standard systematic risk measures. We document a positive and significant relation between hybrid tail … covariance risk (H-TCR) and expected stock returns, with an annualized premium of 9%, in contrast to the insignificant or …
Persistent link: https://www.econbiz.de/10012459202
We characterize how risk evolves during a crisis. Using high-frequency data, we find that the first two principal … different, the risk dynamics share remarkably common features: PC1 shocks come solely from asset volatility, while PC2 shocks …, we provide novel identification of risk dynamics by linking these changes to news about the virus and epidemiological …
Persistent link: https://www.econbiz.de/10014635656
We examine several measures of uncertainty to make five points. First, equity market traders and executives at … nonfinancial firms have shared similar assessments about one-year-ahead uncertainty since the pandemic struck. Both the one …-year VIX and our survey-based measure of firm-level uncertainty at a one-year forecast horizon doubled at the onset of the …
Persistent link: https://www.econbiz.de/10013191053