2013
DOI: 10.1016/j.jbankfin.2013.01.001
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A revisit to the dependence structure between the stock and foreign exchange markets: A dependence-switching copula approach

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Cited by 112 publications
(18 citation statements)
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“…The main advantage of this model is that it does not require an ad hoc determination of change point in the dependence structure. Prior studies like [29]- [32] apply Markov-switching copula functions to examine the dependence between international stock markets. However, these studies consider a finite mixture of conditional bivariate copulas, where the copula parameter is fixed but the functional form of the copula functions follows a Markov-switching model.…”
Section: Introductionmentioning
confidence: 99%
“…The main advantage of this model is that it does not require an ad hoc determination of change point in the dependence structure. Prior studies like [29]- [32] apply Markov-switching copula functions to examine the dependence between international stock markets. However, these studies consider a finite mixture of conditional bivariate copulas, where the copula parameter is fixed but the functional form of the copula functions follows a Markov-switching model.…”
Section: Introductionmentioning
confidence: 99%
“…2). Copulas have been applied across a range of disciplines such as hydrology (Zhang et al, 2011;Shiau and Shen, 2001;Shiau et al, 2007;Li et al, 2013), engineering (Lebrun and Dutfoy, 2009), meteorology (Liu et al, 2011;Madadgar and Moradkhani, 2011), and economics (Wang et al, 2013;Dajcman, 2013)…”
Section: Step 3: Estimate Copula Parametermentioning
confidence: 99%
“…This shows great potential for diversification. The dependence structure can be seen in the empirical copula section of Table 3 ( Wang et al, 2013). Take the relation between the short-term and long-term treasury bonds in 2010 as an example.…”
Section: Investment Universementioning
confidence: 99%