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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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In the academic literature, the economic interpretation of stock market volatility is inherently ambivalent, being … volatility-dependent cross-market spillovers. If higher volatility in one market leads to higher (lower) reactions in another … market, volatility reflects information (uncertainty). We introduce a simultaneous time-varying coefficient model, where …
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We analyze stock market reactions to announcements of political appointments from the private sector and corporate appointments of former government officials. Using unique data on corporate affiliations and announcements of all Senate-confirmed U.S. Defense Department appointees of six...
Persistent link: https://www.econbiz.de/10010490694
Countries -- Chapter 2. Climate Risk and the Volatility of Agricultural Commodity Price Fluctuations: A Forecasting Experiment … levels of volatility. This volatility is too strong to be fully justified simply by changes in fundamentals. This volume …
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