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This work develops change-point methods for statistics of high-frequency data. The main interest is the volatility of … discriminate different smoothness classes of the underlying stochastic volatility process. In a high-frequency framework we prove … extremely mild smoothness assumptions on the stochastic volatility we thereby derive a consistent test for volatility jumps. A …
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According to a growing body of empirical literature, global shocks have become less important for business cycles in industrialized countries and emerging market economies since the mid-1980s. In this paper, we analyze the question of what might have caused a decoupling from the global business...
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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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To investigate how economies, financial markets or institutions can deal with stress, we nowadays often analyze the effects of shocks conditional on a recession or a bear market. MSVAR models are ideally suited for such analyses because they combine gradual movement with sudden switches. In this...
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economics and financial markets, the effects of combining multiple news shocks on the volatility of tourism demand have not yet …), conditional heteroscedastic volatility models, and multiple news shocks are suitable for forecasting the volatility of the … Malaysian tourist industry. Among them, three primarily volatility models (GARCH, EGARCH, and GJRGARCH) are used in conjunction …
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