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We study the impact of oil price shocks on US stock market volatility. We derive three different structural oil shock variables (i.e. aggregate demand, oil-supply, and oil-demand shocks) and relate them to stock market volatility, using bivariate structural VAR models, one for each oil price...
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This paper uses a range of structural VARs to show that the response of US stock prices to fiscal shocks changed in 1980. Over the period 1955-1980 an expansionary spending or revenue shock was associated with modestly higher stock prices. After 1980, along with a decline in the fiscal...
Persistent link: https://www.econbiz.de/10011627039
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...
Persistent link: https://www.econbiz.de/10011933414
This paper uses a panel Threshold VAR model to estimate the regime-dependent impact of oil shocks on stock prices. We find that an adverse oil supply shock has a negative effect on stock prices when oil inflation is low. In contrast, this impact is negligible in the regime characterised by...
Persistent link: https://www.econbiz.de/10011895018
this paper, we propose to forecast exchange rates with a large Bayesian VAR (BVAR), using a panel of 33 exchange rates vis … produces systematically better forecasts than a random walk for most of the countries, and at any forecast horizon, including …
Persistent link: https://www.econbiz.de/10003765975
When do financial markets help in predicting economic activity? With incomplete markets, the link between financial and real economy is state-dependent and financial indicators may turn out to be useful particularly in forecasting "tail" macroeconomic events. We examine this conjecture by...
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