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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
A key criticism of the existing empirical literature on the risk-return relation relates to the relatively small amount …, measures of conditional mean and conditional volatility--and ultimately the risk-return relation itself--will be misspecified … that three new factors, a "volatility," "risk premium," and "real" factor, contain important information about one …
Persistent link: https://www.econbiz.de/10012467202
The paper examines if real stock returns in four countries are consistent with consumption-based models of international asset pricing. The paper finds that ex-ante real stock returns exhibit statistically significant fluctuations over time and that these fluctuations cannot be explained by...
Persistent link: https://www.econbiz.de/10012476685
a simple extension of the long-run risk model …
Persistent link: https://www.econbiz.de/10012480268
This paper proposes latent factor models for multidimensional panels called 3D-PCA. Factor weights are constructed from a small set of dimension-specific building blocks, which give rise to proportionality restrictions of factor weights. While the set of feasible factors is restricted, factors...
Persistent link: https://www.econbiz.de/10014512115
Motivated from investment-based asset pricing, we propose a new factor model consisting of the market factor, a size factor, an investment factor, and a return on equity factor. The new factor model outperforms the Carhart four-factor model in pricing portfolios formed on earnings surprise,...
Persistent link: https://www.econbiz.de/10012460225
Sparse models, though long preferred and pursued by social scientists, can be ineffective or unstable relative to large models, for example, in economic predictions (Giannone et al., 2021). To achieve sparsity for economic interpretation while exploiting big data for superior empirical...
Persistent link: https://www.econbiz.de/10014322811
This paper formulates and estimates multistage production functions for children's cognitive and noncognitive skills. Skills are determined by parental environments and investments at different stages of childhood. We estimate the elasticity of substitution between investments in one period and...
Persistent link: https://www.econbiz.de/10012462910
When excess returns are used to estimate linear stochastic discount factor (SDF) models, researchers often adopt a normalization of the SDF that sets its mean to 1, or one that sets its intercept to 1. These normalizations are often treated as equivalent, but they are subtly different both in...
Persistent link: https://www.econbiz.de/10012462024
We construct factors from a cross section of exchange rates and use the idiosyncratic deviations from the factors to forecast. In a stylized data generating process, we show that such forecasts can be effective even if there is essentially no serial correlation in the univariate exchange rate...
Persistent link: https://www.econbiz.de/10012460277