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purpose of finding long run relationship among the variables Johansen co-integration test is applied. The results show that …
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cointegration model, of pairs of stock prices. We show the effect that using an encompassing prior under an orthogonal normalization …
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. A simulation-based Bayesian procedure is introduced for predicting stable stock price ratios, defined in a cointegration …
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cointegration to estimate the long-run relationship between G7 stock prices and macroeconomic variables over the last 40 years. We …
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Beaudry and Portier (2006) provide support for the "news view" of the business cycle, using a vector error correction model. We show that this result hinges on a cointegrating relationship between TFP and stock prices that is not stationary, thus making the estimates not reliable. If we alter...
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We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor. The model is designed to explicitly account for (information driven) common factor dynamics as well as idiosyncratic effects...
Persistent link: https://www.econbiz.de/10003634717
In this paper, we study the dynamic interdependencies between high-frequency volatility, liquidity demand as well as trading costs in an electronic limit order book market. Using data from the Australian Stock Exchange we model 1-min squared mid-quote returns, average trade sizes, number of...
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