Tests for Comparing Stochastic Asset Models
Asset Pricing Theories, Models, and Tests
... Spuriously significant results and non-standard sampling distributions also tend to arise in long-horizon predictive regressions where the regressors and/or the returns are accumulated over time periods so that two or ...
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Comparing Asset Pricing Models: An Investment Perspective
... Cambridge, MA 02138 August 1999 We are grateful for comments by Ravi Jagannathan, Don Keim, David Modest, William Tyson, and workshop participants at London Business School, Stanford University, the University of ...
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Solving asset pricing models with stochastic volatility
... dard asset pricing model with stochastic ...the stochastic volatility innova- tions can be drawn from any distribution for which the moment-generating function ...the stochastic volatility ...
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Stochastic Asset Models for Actuarial Use in Ghana
... for stochastic asset models has evolved from a common global standard for risk management in the Solvency II regime in Europe, IAIS Common Principles, Global ORSA standards NAIC, EIOPA, and ...of ...
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Stochastic behavioral asset pricing models and the stylized facts
... tribution irrespective of the underlying distribution of single high-frequency returns. This is simply a consequence of the central limit law. One might argue that at the level of daily data (the time horizon we have ...
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Stochastic Programming Models for International Asset Allocation Problems
... • CVaR models constitute effective risk management tool • Internalizing currency hedging decisions (via forward contracts) in the models improves ex-ante and ex-post results Positive v[r] ...
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Asset allocation in wealth management using stochastic models
... an asset class and, as Fabozzi et ...active asset allocation strategies. In this study the active asset allocation strategy is one that strategically varies over time, whereas the passive strategy is ...
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A Mean-Variance Framework for Tests of Asset Pricing Models
... between tests of the pricing models and a mean-variance framework are limited to a few special ...likelihood-ratio tests of the pricing restrictions in a mean-variance ...includes tests with ...
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Essays On Asset Pricing Models: Theories And Empirical Tests
... The asset pricing literature studying loss aversion has focused primarily on its implications for the equity premium, that is, the average level of stock ...equilibrium models trying to understand return ...
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Unit Root Tests in Time Series and Stochastic Volatility Models
... our tests based on such low values of γ have essentially no power at all to distinguish between such processes that have their AR root extremely close to 1 and the unit root AR ...
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Specification tests for time-varying parameter models with stochastic volatility
... Recall that a positive log Bayes factor represents evidence in support of the unrestricted model against the restricted version—i.e., the model with some form of stochastic volatil- ity is preferred. Table 2 shows ...
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Frequentist and Bayesian Unit Root Tests in Stochastic Volatility Models
... with OLS and WS regressions as well as Said-Dickey unit root test to the data that is in the form of log r 2 it for each series. Before performing the unit root tests, the sample mean of { log r 2 it } is ...
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Chi-squared tests for evaluation and comparison of asset pricing models
... plier tests for individual and joint testing of correct specification of one or more asset pricing ...specification tests are asymptotically chi-squared distributed and enjoy improved finite- sample ...
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Nonparametric specification tests for stochastic volatility models based on volatility density
... This paper is organized as follows. Deconvolution kernel density estimation for the log integrated volatility density is discussed in Section 2. The parametric estimate of the log integrated volatility density is ...
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Nonparametric specification tests for stochastic volatility models based on volatility density
... Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience.. Copyright and Moral Rights remain with the author([r] ...
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Nonparametric specification tests for stochastic volatility models based on volatility density
... This paper is organized as follows. Deconvolution kernel density estimation for the log integrated volatility density is discussed in Section 2. The parametric estimate of the log integrated volatility density is ...
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Comparing Consumption based Asset Pricing Models: The Case of an Asian City
... uncertainty (i.e. risk aversion larger than the reciprocal of IES) which is exactly what we find in our GMM structural estimation reported in Table 4. How RUM works with long-run risks can be understood heuristically as ...
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Bayesian Testing for Asset Volatility Persistence on Multivariate Stochastic Volatility Models
... SV models, Zhang, Li and Zhang [13] showed that the deci- sional Bayesian approach by Li and Yu [12] can achieve better finite-sample behaviors than Bayes ...the asset return volatility persistence on ...
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Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
... Based on 1000 bootstrap samples, the estimated p-values for T 1 , T 2 and T 3 are 0.009, 0.014 and 0.000 respectively. The p-values of all the tests provide strong evidence of rejection of the Heston model. The ...
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Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
... our tests are based on the density function and the distribution function of the return data, we first give a plot of the empirical density function estimated and all the model implied return densities in Figure ...
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