Showing 1 - 10 of 42
This paper generalizes the Bollerslev and Zhang (2003) approach for the estimation of loadings of asset pricing models using "realized" measures and co-measures of risk. We propose here to extend this approach by including higher-moments in asset pricing models. Estimations are conducted using...
Persistent link: https://www.econbiz.de/10008635797
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
In an exchange economy with recursive preferences (Epstein and Zin, 1989), we propose a novel nonparametric generalized method of moment (GMM) series approach to estimate unknown policy functions which are recursively specified in a system of nonlinear conditional expectation models...
Persistent link: https://www.econbiz.de/10012872282
This paper quantifies the premium demanded by the investors for bearing the corporate default risk. We propose a novel approach that exploits the information in both credit default swap (CDS) spreads and stock prices, using the pricing restrictions provided by a structural model of credit risk....
Persistent link: https://www.econbiz.de/10012856198
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 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/10014349505
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/10014349681
In this study, variance changing to the scale and multi-scale Capital Asset Pricing Model (CAPM) is tested by Wavelets as a new analysis method in finance and economics. It introduces a new approach to the variance changing to the scale as a general risk indicator, and to multi-scale CAPM...
Persistent link: https://www.econbiz.de/10010764117
The CAPM implies that investors require equity risk premia when choosing risky investments and therefore demand higher returns to equity invested if higher risk is present. This should apply to investments in independent enterprises and multi-national enterprises alike. This hypothesis is...
Persistent link: https://www.econbiz.de/10010941794
In this study, variance changing to the scale and multi-scale Capital Asset Pricing Model (CAPM) is tested by Wavelets as a new analysis method in finance and economics. It introduces a new approach to the variance changing to the scale as a general risk indicator, and to multi-scale CAPM...
Persistent link: https://www.econbiz.de/10005837029