2020
DOI: 10.1002/ijfe.2190
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Emerging markets financial sector debt: A Markov‐switching study of interest rate sensitivity

Abstract: We provide an empirical study on the sensitivity of capital gains of emerging market financial sector debts to the U.S. Treasury market in a three‐state Markov‐switching framework. Specifically, we model the capital gains change in a debt portfolio consisting of emerging market bonds as a linear regression of the capital gains change in a portfolio consisting of U.S. Treasury bonds in which the regression coefficients are allowed to switch between three regimes. Our analysis spans the period 2003–2016. We iden… Show more

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Cited by 12 publications
(6 citation statements)
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“…Our findings can provide useful insights for institutional investors and policy makers, shedding light on the attractive hedging attributes of Islamic stocks. We document intervals of high, medium, and low coherence between the media coverage level and the price dynamics of the Dow Jones (DJ) Islamic equity indices, contributing also to the literature on nonlinear dynamics and regime switching ( Dufrénot and Jawadi, 2017 ; Gubareva and Keddad, 2020 ; and Umar and Gubareva, 2020 ). Finally, we spot our attention on the low coherence zones, which are valuable indications of the Islamic equity diversification potential.…”
Section: Introductionmentioning
confidence: 99%
“…Our findings can provide useful insights for institutional investors and policy makers, shedding light on the attractive hedging attributes of Islamic stocks. We document intervals of high, medium, and low coherence between the media coverage level and the price dynamics of the Dow Jones (DJ) Islamic equity indices, contributing also to the literature on nonlinear dynamics and regime switching ( Dufrénot and Jawadi, 2017 ; Gubareva and Keddad, 2020 ; and Umar and Gubareva, 2020 ). Finally, we spot our attention on the low coherence zones, which are valuable indications of the Islamic equity diversification potential.…”
Section: Introductionmentioning
confidence: 99%
“…The literature on the spillover, safe‐haven, cross‐market interdependence, and hedging opportunities across assets and financial markets has attracted lot of attraction since the Global Financial Crisis (GFC); (see Gubareva & Borges, 2016; Gubareva & Borges, 2018; Riaz, Shehzad, & Umar, 2019, 2020; Gubareva & Keddad, 2020; Jawadi, Jawadi, & Cheffou, 2020; Kenourgios, Umar, & Lemonidi, 2020 and Stereńczak, Zaremba, & Umar, 2020; Umar, Shehzad, & Samitas, 2019; Umar, Shahzad, & Kenourgios, 2019; Umar, Kenourgios, Naeem, Abdulrahman, & AlHazza, 2020; Umar, Zaremba, & Olson, 2020; Zaremba, Kizys, et al, 2020; Zaremba, Umar, & Mikutowski, 2020). As mentioned earlier, the recent COVID‐19 pandemic has presented a unique challenge and inspired a new stream of literature focused on the impact of this pandemic on financial markets.…”
Section: Introductionmentioning
confidence: 99%
“…We calculate the capital gain (CGS) from ESG investment in a chosen market as the difference between the initial and final price of the respective MSCI ESG Leaders index. We employ 3-, 6-, and 12-months-long holding period and generate the time series of the CGS with daily frequency, following previous research employing CGS metrics, see [ 24 , 43 , 44 ].…”
Section: Methodsmentioning
confidence: 99%