Portfolio optimization with CVaR under Bilateral Gamma process

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 755

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شناسه ملی سند علمی:

AIHE09_238

تاریخ نمایه سازی: 22 مهر 1394

چکیده مقاله:

Formal portfolio optimization methodologies describe the dynamics of financial instruments price with GaussianCopula (GC). Without considering the sassets return rate, optimization with GC underestimate theoptimal CVaR of portfolio. In the present paper, we develop theapproach for portfolio optimization by introducing levyprocesses. It focuses on describing the dynamics of aprice with Bilateral Gamma Copula (BGC) rather than GC. Acase study for three indexes of Chinese Stock Market inperformed. On application purpose, we calculate the best hedgepositions of Shanghai Index (SHI), Shenzen Index (SZI) andSmall Cap Index (SCI) with the performance function CVaRunder BG model. It can be combined with Monte CarloSimulation and nonlinear programing techniframework is suitable for any investment companies.

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نویسندگان

Saber Mehdizadeh

Department of mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran

Khadijeh Ghaziani

Ayandegan Institute of higher education, Tonekabon Mazandaran, Iran