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We show that efficient importance sampling for nonlinear non-Gaussian state space models can be implemented by … simple and fast method for efficient importance sampling. A simulation study and empirical illustration provide some evidence …
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Asset pricing models such as the conditional CAPM are typically estimated with MLE using a monthly or quarterly horizon with data sampled to match the horizon even though daily data are available. We develop an overlapping data inference methodology (ODIN) that uses all of the data while...
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Asset pricing models such as the conditional CAPM are typically estimated with MLE using a monthly or quarterly horizon with data sampled to match the horizon even though daily data are available. We develop an overlapping data inference methodology (ODIN) that uses all of the data while...
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