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Optimal hedging with the Vector Autoregressive model
Gatarek, Lukasz; Johansen, Søren - 2014
with general cointegration rank. Our hedge is optimal in the sense of minimum variance portfolio. We consider a model that … correlation and cointegration parameters. For short holding periods the correlation impact is predominant. For long horizons, the … hedge ratio should overweight the cointegration parameters rather then short-run correlation information. In the innite …
Persistent link: https://www.econbiz.de/10010244526
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Bayesian averaging over many dynamic model structures with evidence on the Great Ratios and liquidity trap risk
Strachan, Rodney W.; Dijk, Herman K. van - 2008
A Bayesian model averaging procedure is presented that makes use of a finite mixture of many model structures within the class of vector autoregressive (VAR) processes. It is applied to two empirical issues. First, stability of the Great Ratios in U.S. macro-economic time series is investigated,...
Persistent link: https://www.econbiz.de/10011377110
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Bayesian averaging over many dynamic model structures with evidence on the great ratios and liquidity trap risk
Strachan, Rodney W.; Dijk, Herman K. van - 2008
Persistent link: https://www.econbiz.de/10003774524
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Bayes estimates of Markov trends in possibly cointegrated series : an application to US consumption and income
Paap, Richard; Dijk, Herman K. van - 1999
expansion periods.Since a linear combination of such series does not have to be a constant meanprocess, standard cointegration … there exist a cointegration relation between US percapita disposable income and consumption, after correction for …
Persistent link: https://www.econbiz.de/10011301165
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Return and risk of pairs trading using a simulation-based Bayesian procedure for predicting stable ratios of stock prices
Gatarek, Lukasz; Hoogerheide, Lennart F.; Dijk, Herman … - 2014
cointegration model, of pairs of stock prices. We show the effect that using an encompassing prior under an orthogonal normalization …
Persistent link: https://www.econbiz.de/10010259626
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Time-varying identification of monetary policy shocks
Camehl, Annika; Woźniak, Tomasz - 2023
We propose a new Bayesian heteroskedastic Markov-switching structural vector autoregression with data-driven time-varying identification. The model selects alternative exclusion restrictions over time and, as a condition for the search, allows to verify identification through heteroskedasticity...
Persistent link: https://www.econbiz.de/10014422351
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Moments, shocks and spillovers in Markov switching VAR models
Dijk, Dick van; Kole, Erik - 2021
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...
Persistent link: https://www.econbiz.de/10012621564
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What do professional forecasters actually predict?
Nibbering, Didier; Paap, Richard; Wel, Michel van der - 2015
In this paper we study what professional forecasters actually explain. We use spectral analysis and state space modeling to decompose economic time series into a trend, a business-cycle, and an irregular component. To examine which components are captured by professional forecasters we regress...
Persistent link: https://www.econbiz.de/10011305773
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Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil
Aastveit, Knut Are; Cross, Jamie; Dijk, Herman K. van - 2021
We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil …, estimation of time-varying forecast biases and facets of miscalibration of individual forecast densities and time-varying inter …-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach …
Persistent link: https://www.econbiz.de/10012795319
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Quantifying time-varying forecast uncertainty and risk for the real price of oil
Aastveit, Knut Are; Cross, Jamie; Dijk, Herman K. van - 2021
We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil …, estimation of time-varying forecast biases and facets of miscalibration of individual forecast densities and time-varying inter …-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach …
Persistent link: https://www.econbiz.de/10012545165