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Researchers and practitioners employ a variety of time-series processes to forecast betas, using either short-memory models or implicitly imposing infinite memory. We find that both approaches are inadequate: beta factors show consistent long-memory properties. For the vast majority of stocks,...
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taken into account. Using Monte Carlo simulations, we confirm that our methods substantially improve the forecasting …
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We derive the limiting null distribution of the robust CUSUM-M test and the recursive CUSUM-M test for structural change of the coefficients of a linear regression model with long-memory disturbances. It turns out that the asymptotic null distribution of the CUSUM-M statistic is a fractional...
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believed to be long memory. The statistics are asymptotically standard normal on the null hypothesis that no bias is present …
Persistent link: https://www.econbiz.de/10003005036
taken into account. Using Monte Carlo simulations, we confirm that our methods substantially improve the forecasting …
Persistent link: https://www.econbiz.de/10014471687
Researchers and practitioners employ a variety of time-series processes to forecast betas, using either short-memory models or implicitly imposing infinite memory. We find that both approaches are inadequate: beta factors show consistent long-memory properties. For the vast majority of stocks,...
Persistent link: https://www.econbiz.de/10012213531