2016
DOI: 10.1016/j.eneco.2016.03.024
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On the dynamic dependence between equity markets, commodity futures and economic uncertainty indexes

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Cited by 88 publications
(29 citation statements)
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“…Oversupply will lead to a decrease in the prices of commodity futures; conversely, if the stock markets rise, commodity futures prices will also rise. In this case, the stock markets and commodity futures markets show a positive correlation (Berger & Uddin, ). Both the situations indicate that when the news uncertainty in stock markets increases, the variations in stock markets augment the volatilities of futures.…”
Section: Resultsmentioning
confidence: 99%
“…Oversupply will lead to a decrease in the prices of commodity futures; conversely, if the stock markets rise, commodity futures prices will also rise. In this case, the stock markets and commodity futures markets show a positive correlation (Berger & Uddin, ). Both the situations indicate that when the news uncertainty in stock markets increases, the variations in stock markets augment the volatilities of futures.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, Beckmann and Czudaj () and Bekiros and Uddin () show that there is a link between exchange rates and economic policy uncertainty. Furthermore, studies show that changes in oil price shocks or stock market conditions trigger changes in economic policy uncertainty (Antonakakis et al ., , ; Kang and Ratti, ; Ko and Lee, ; Berger and Uddin, ; Bekiros and Uddin, ). Even more, Wang et al .…”
Section: Introductionmentioning
confidence: 99%
“…11 Wavelet techniques have originally been applied for picture and audio data compression but have already been established in the economics and finance literature over the recent years (see e.g. Rua and Nunes, 2009;Rua, 2012;Berger and Uddin, 2016). We rely on MODWT since it has basically two main advantages compared to the classic DWT: it does not require dyadic length and it is shift invariant (Crowley, 2007).…”
Section: Wavelet Decompositionmentioning
confidence: 99%
“…The choice of the length is motivated by the aim to dissect the variation of the signal time series into as much components as offer some variation and follows the empirical wavelet literature(Berger and Uddin, 2016). We have also considered other filter techniques such as the Daubechies filter and the Haar filter but received wavelet components with very similar time series patterns across the different filters.…”
mentioning
confidence: 99%