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This paper proposes a latent dynamic factor model for low- as well as high-dimensional realized covariance matrices of stock returns. The approach is based on the matrix logarithm and allows for flexible dynamic dependence patterns by combining common latent factors driven by HAR dynamics and...
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This paper examines if overreaction of oil price forecasters is affected by uncertainty. Furthermore, it takes into account joint effects of uncertainty and oil price returns on forecast changes. The panel smooth transition regression model from Gonz alez et al. (2005) is applied with univariate...
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We consider fundamental questions of arbitrage pricing arising when the uncertainty model incorporates volatility … such sets when volatility uncertainty is modeled by a stochastic differential equation, driven by Peng's G-Brownian motion. …
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