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A recent book by Kolari, Liu, and Huang (KLH) (2021) developed a new theoretical capital asset pricing model dubbed the ZCAPM, which outperformed well-known multifactor models in cross-sectional tests using U.S. stocks. This paper extends their analyses by employing a longer sample period from...
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Kolari, Liu, and Huang (2021) recently proposed and empirically tested a new asset pricing model dubbed the ZCAPM that consistently outperformed popular multifactor models using U.S. stock returns. Is the ZCAPM a false discovery? As verification, this paper provides international stock return...
Persistent link: https://www.econbiz.de/10014239385
This book proposes a new capital asset pricing model dubbed the ZCAPM that outperforms other popular models in empirical tests using US stock returns. The ZCAPM is derived from Fischer Black's well-known zero-beta CAPM, itself a more general form of the famous capital asset pricing model (CAPM)...
Persistent link: https://www.econbiz.de/10012318702
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A growing list of proposed factors is causing factor and model selection problems in asset pricing research and practice. This paper mitigates these problems by combining the CRSP market index with multiple factors to create a single multifactor market index. Empirical tests of multifactor...
Persistent link: https://www.econbiz.de/10012853268
This paper combines the CRSP market index with multiple factors to create a single multifactor market index. Empirical tests of different multifactor market indexes indicate that: (1) Sharpe ratios substantially increase and GRS test statistics decrease as multifactors are incrementally added to...
Persistent link: https://www.econbiz.de/10013168866
Part I: Introduction -- Chapter 1: Portfolio Theory and Practice -- Part II: Previous Asset Pricing Models -- Chapter 2: General Equilibrium Asset Pricing Models -- Chapter 3: Multifactor Asset Pricing Models -- Part III: The ZCAPM -- Chapter 4: A New Asset Pricing Model: The ZCAPM -- Chapter 5:...
Persistent link: https://www.econbiz.de/10014467008
Generalized quantile regressions, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to...
Persistent link: https://www.econbiz.de/10012966532
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