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Audil Khaki

Researcher at American University of the Middle East

Publications -  19
Citations -  101

Audil Khaki is an academic researcher from American University of the Middle East. The author has contributed to research in topics: Poverty & Financial inclusion. The author has an hindex of 4, co-authored 13 publications receiving 55 citations. Previous affiliations of Audil Khaki include American University & University of Kashmir.

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Does access to finance alleviate poverty? A case study of SGSY beneficiaries in Kashmir Valley

TL;DR: In this article, the authors evaluate the progression of the participants/beneficiaries of National Rural Livelihood Mission Scheme (erstwhile Swarnjayanti Gram Swarozgar Yojana Scheme) across various dimensions of poverty by making use of the Multidimensional Poverty Index (MPI).
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Factors affecting the capital structure: New evidence from GCC countries

TL;DR: In this article, the authors identify the firm-specific determinants of capital structure in the Gulf Cooperation Council (GCC) countries, namely Bahrain, Kuwait, Qatar, Oman, Saudi Arabia, and the United Arab Emirates.
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Bitcoin and Portfolio Diversification: A Portfolio Optimization Approach

TL;DR: In this article, the authors explored the potential of Bitcoin as an alternative asset, and its potential in portfolio diversification, by using the portfolio optimization approach under multiple constraining scenarios to evaluate the effectiveness of Bitcoin.
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Financial Inclusion & Social Capital A Case Study of SGSY Beneficiaries in Kashmir Valley

TL;DR: In this article, the impact of access to finance on socio-political empowerment of the beneficiaries of the National Rural Livelihood Mission (NRLM) was evaluated. But, the impact was relatively lesser for financial literacy and economic awareness.
Posted Content

Best Fitting Fat Tail Distribution for the Volatilities of Energy Futures: GEV, GAT and Stable Distributions in GARCH and APARCH Models

TL;DR: In this paper, the volatility of Natural Gas Futures, Brent Oil Futures and Heating Oil futures through GARCH and APARCH models is modeled. And the results suggest that APARCH model mostly outperforms the GARCH model, and GAT distribution performs better in modeling fat tails in returns.