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This paper develops a Monte-Carlo backtesting procedure for risk premia strategies and employs it to study Time-Series Momentum (TSM). Relying on time-series models, empirical residual distributions and copulas we overcome two key drawbacks of conventional backtesting procedures. We create...
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of factor jumps. Such jump dependence is implied by standard linear factor models. Our inference is based on a panel of … restriction on the relative magnitude of these two dimensions of the panel. The test is formed from the high‐frequency returns at …
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We develop an econometric methodology to infer the path of risk premia from large unbalanced panel of individual stock … address consistent estimation of the asymptotic variance, and testing for asset pricing restrictions induced by the no … for the usual unconditional four-factor model capturing market, size, value and momentum effects. large panel, factor …
Persistent link: https://www.econbiz.de/10009313026
We develop an econometric methodology to infer the path of risk premia from a large unbalanced panel of individual … series dimensions. We address consistent estimation of the asymptotic variance by hard thresholding, and testing for asset …
Persistent link: https://www.econbiz.de/10012940499
We develop a penalized two-pass regression with time-varying factor loadings. The penalization in the first pass enforces sparsity for the time-variation drivers while also maintaining compatibility with the no arbitrage restrictions by regularizing appropriate groups of coefficients. The second...
Persistent link: https://www.econbiz.de/10012487589
This paper estimates and tests the smooth ambiguity model of Klibanoff, Marinacci, and Mukerji (2005, 2009) based on stock market data. We introduce a novel methodology to estimate the conditional expectation which characterizes the impact of a decision maker's ambiguity attitude on asset...
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