2019
DOI: 10.1016/j.jimonfin.2019.102066
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Uncovered equity “disparity” in emerging markets

Abstract: The portfolio-rebalancing theory of Hau and Rey (2006) yields the uncovered equity parity (UEP) prediction that local-currency equity return appreciation is offset by currency depreciation. Vector autoregressive model estimation and tests for eight Asian emerging markets using daily data reveal instead a positive nexus between equity returns and currency returns. The extent of the uncovered equity "disparity" is time-varying and asymmetric since it exacerbates in crises. Our analysis suggests that the UEP fail… Show more

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Cited by 22 publications
(9 citation statements)
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“…Then, we examine the relationship between the parameters extracted from two markets. Finally, empirical regressions evaluating the interaction between the two markets are estimated over both our full sample and the subsamples related to the late 2000s global financial crisis, given the fact that the late 2000s global financial crisis has substantially changed the financial landscape (Fuertes et al, 2016(Fuertes et al, , 2019Yan et al, 2016).…”
Section: Calibration and Empirical Resultsmentioning
confidence: 99%
“…Then, we examine the relationship between the parameters extracted from two markets. Finally, empirical regressions evaluating the interaction between the two markets are estimated over both our full sample and the subsamples related to the late 2000s global financial crisis, given the fact that the late 2000s global financial crisis has substantially changed the financial landscape (Fuertes et al, 2016(Fuertes et al, , 2019Yan et al, 2016).…”
Section: Calibration and Empirical Resultsmentioning
confidence: 99%
“…The trading strategy inspired by the return chasing hypothesis has also been confirmed empirically for both developed and emerging markets (see [25,26]).…”
Section: Literature Reviewmentioning
confidence: 85%
“…Such a problem has also been reported by other studies (such as Cerutti et al, (2019) and the references therein), which underlines the difficulty of empirically modeling capital flows within the "push-pull" framework. Second, if we reduce the number of EMs, we can consider alternative data sources in the literature, such as daily data (as in Griffin et al, 2004;Richards, 2005;Ülkü and Weber, 2014;Ülkü, 2015;and Fuertes et al, 2019), monthly TIC data sources (as in Fuertes et al, 2016;Sarno et al, 2016;Yan et al, 2016), and quarterly international financial statistics (IFS) data sources. Data with higher frequency may provide a better fit for shortterm flows.…”
Section: Discussionmentioning
confidence: 99%