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We formulate a general representation of points z 2 <n
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We consider the problem of estimating the first k coeffcients in a regression equation with k + 1 variables.For this problem with known variance of innovations, the neutral Laplace weighted-average least-squares estimator was introduced in Magnus (2002).We investigate properties of this...
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We establish Edgeworth expansions for the distribution function of the centered and normalized Hill estimator for the positive extreme value index.
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Many researchers use GARCH models to generate volatility forecasts. We show, however, that such forecasts are too … variable. To correct for this, we extend the GARCH model by distinguishing two regimes with different volatility levels. GARCH … terms only. The empirical application on U.S. dollar exchange rates shows that our model indeed yields better volatility …
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more important for higher rated bonds (AAA and AA).The stock return and the implied volatility of the stock price seem to …
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consumption growth process. The hidden states di¤er both for the mean and the volatility. We show that the ambiguity …-averse investor downweights high-mean states in favor of low-mean ones. However, such distortion appears much stronger in low-volatility … regimes: high volatility attenuates the distortion due to ambiguity concerns. It follows that (i) ambiguity aversion always …
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An exact discretization of continuous time stochastic volatility processes observed at irregularly spaced times is used …
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