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In this paper we extend the Bayesian Proxy VAR to incorporate time variation in the parameters. A Gibbs sampling algorithm is provided to approximate the posterior distributions of the model's parameters. Using the proposed algorithm, we estimate the time-varying effects of taxation shocks in...
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-cyclicity, stock price volatility is believed to demonstrate with respect to the state of the economy. It further tests whether such … interdependence is exploitable for volatility forecasting. The sound contribution of this paper is the extension of the in-sample to … ability of an GJR-GARCH-Model, of the implied and historical volatility, the prediction power of macroeconomic and financial …
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This paper focuses on cross-sectional equity momentum patterns by modeling a stock's price path as the interaction between a long-term growth component and a number of fluctuating price components that oscillate around the long-term trend at various distinct frequencies. Using this...
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Information on the performance of equities during the latter part of the globalized long nineteenth century is scarce, particularly for smaller European economies such as Ireland. Using a dataset of over 35,000 price-year observations from the Investor's Monthly Manual, this paper constructs new...
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This review article tries to answer four questions: (i) what are the stylized facts about uncertainty over time; (ii) why does uncertainty vary; (iii) do fluctuations in uncertainty matter; and (iv) did higher uncertainty worsen the Great Recession of 2007-2009? On the first question both macro...
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