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"Systematic Downside Risk" (SDR) is defined to characterize this asymmetry in the comovement of betas. This indicator negatively …
Persistent link: https://www.econbiz.de/10010442899
We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model …
Persistent link: https://www.econbiz.de/10008797745
liquidity risk. This explains (at least partly) the small impact of commonality on asset prices documented in the extant …
Persistent link: https://www.econbiz.de/10010412872
finance. Changes in the business cycle and asset characteristics induce time variation in factor loadings and risk premia to … of conditional information, and reviews an arbitrage pricing theory for large dimensional factor models in this framework … diagnosing model specification, estimating conditional risk premia, and testing asset pricing restrictions under increasing cross …
Persistent link: https://www.econbiz.de/10012101166
We build a macroeconomic model for Switzerland, the Euro Area, and the USA that drives the dynamics of several asset classes and the liabilities of a representative Swiss (defined-contribution) pension fund. This encompassing approach allows us to generate correlations between returns on assets...
Persistent link: https://www.econbiz.de/10010442892
the CAPM, and (ii) produce large and positive alphas. In contrast, we observe a large and statistically significant …
Persistent link: https://www.econbiz.de/10012419384
weighting is called crash-o-phobia. Using non-linear least squares and risk-neutral state prices implied by currency options, we …
Persistent link: https://www.econbiz.de/10011937090
We propose a new asset-pricing framework in which all securities' signals are used to predict each individual return. While the literature focuses on each security's own- signal predictability, assuming an equal strength across securities, our framework is flexible and includes...
Persistent link: https://www.econbiz.de/10012271188
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 average pricing errors—is improving in model parameterization (or “complexity”). Our results predict that the best...
Persistent link: https://www.econbiz.de/10014254198
This paper implements a novel model-free methodology to measure skewness risk premia in individual stocks. The … skewness risk premium in individual stocks. The risk premium massively increased after the 2008/2009 financial crisis due to an … increase in the price of put options in individual stocks. Part of this skewness risk premium is idiosyncratic. Frictions on …
Persistent link: https://www.econbiz.de/10011899675