Emerging Market Sovereign Debts as a Means for Profit Maximization and Portfolio Diversification

Emerging Market Sovereign Debts as a Means for Profit Maximization and Portfolio Diversification

Abdurahman Jemal Yesuf
ISBN13: 9781522501480|ISBN10: 1522501487|EISBN13: 9781522501497
DOI: 10.4018/978-1-5225-0148-0.ch024
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MLA

Yesuf, Abdurahman Jemal. "Emerging Market Sovereign Debts as a Means for Profit Maximization and Portfolio Diversification." Handbook of Research on Chaos and Complexity Theory in the Social Sciences, edited by Şefika Şule Erçetin and Hüseyin Bağcı, IGI Global, 2016, pp. 334-354. https://doi.org/10.4018/978-1-5225-0148-0.ch024

APA

Yesuf, A. J. (2016). Emerging Market Sovereign Debts as a Means for Profit Maximization and Portfolio Diversification. In Ş. Erçetin & H. Bağcı (Eds.), Handbook of Research on Chaos and Complexity Theory in the Social Sciences (pp. 334-354). IGI Global. https://doi.org/10.4018/978-1-5225-0148-0.ch024

Chicago

Yesuf, Abdurahman Jemal. "Emerging Market Sovereign Debts as a Means for Profit Maximization and Portfolio Diversification." In Handbook of Research on Chaos and Complexity Theory in the Social Sciences, edited by Şefika Şule Erçetin and Hüseyin Bağcı, 334-354. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0148-0.ch024

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Abstract

The case for emerging markets debts (EMD) has convinced many investors. This is an asset class that has been experiencing an increase in inflows and is getting international investors attention. During the past two decades, cross-border inflows into ‘emerging market' debt instruments have rose rapidly. Over twelve trillion dollar is currently invested in ‘Emerging Markets' debt. This asset classes has delivered strong returns over time and deserves consideration. Therefore, this paper is intended to show how and why Emerging Market debts are vital instrument in portfolio diversification by using descriptive analysis. The performance assessment has made by noting the unique statistical attributes of ‘emerging market' bond returns, such as their correlation with other asset classes and also by taking their annualized volatility rate and Sharpe ratios. The assessment has done based on compiled data from known sources such as JP Morgan, Bloomberg and other well known secondary data sources.

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