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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...
Persistent link: https://www.econbiz.de/10013056866
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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...
Persistent link: https://www.econbiz.de/10012458695
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Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by … high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the … macroeconomic applications, however, differences in sampling frequencies are often small. In such a case, it might not be necessary …
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