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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
We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...
Persistent link: https://www.econbiz.de/10014337816
We theoretically characterize the behavior of machine learning asset pricing models. We prove that expected out-of-sample model performance--in terms of SDF Sharpe ratio and test asset pricing errors--is improving in model parameterization (or "complexity"). Our empirical findings verify the...
Persistent link: https://www.econbiz.de/10014372446
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
Secured debt--a debt contract that offers security to creditors in the form of collateralized assets--has been a cornerstone of credit markets in most societies since antiquity. The ability to seize and sell collateral reduces the creditor's expected losses when the debtor defaults on a promised...
Persistent link: https://www.econbiz.de/10014528392
Secured lenders have recently demanded a new condition in distressed debt restructurings: competing secured lenders must lose priority. We model the implications of this "creditor-on-creditor violence" trend. In our dynamic model, secured lenders enjoy higher priority in default. However,...
Persistent link: https://www.econbiz.de/10015056182
Missing data for return predictors is a common problem in cross sectional asset pricing. Most papers do not explicitly discuss how they deal with missing data but conventional treatments focus on the subset of firms with no missing data for any predictor or impute the unconditional mean. Both...
Persistent link: https://www.econbiz.de/10013477253
This paper is an overview of empirical options research, with primary emphasis on research into systematic stochastic volatility and jump risks relevant for pricing stock index options. The paper reviews evidence from time series analysis, option prices and option price evolution regarding those...
Persistent link: https://www.econbiz.de/10012794582
Recent work has analyzed the forecasting performance of standard dynamic stochastic general equilibrium (DSGE) models, but little attention has been given to DSGE models that incorporate nonlinearities in exogenous driving processes. Against that background, we explore whether incorporating...
Persistent link: https://www.econbiz.de/10012456064
We find that procyclical stocks, whose returns comove with business cycles, earn higher average returns than countercyclical stocks. We use almost a three-quarter century of real GDP growth expectations from economists' surveys to determine forecasted economic states. This approach largely...
Persistent link: https://www.econbiz.de/10014544787