Risk Analysis of Gold Prices in Pakistan Using Extreme Value Theory

被引：0
|
作者：
Khan, Ghulam Raza [1 ]
Abdulrahman, Alanazi Talal [2 ]
Alamri, Osama [3 ]
Iqbal, Zahid [4 ]
Ahmad, Maqsood [5 ]
机构：
[1] Department of Statistics, University of Wah, Wah Cantt., Rawalpindi, Pakistan
[2] Department of Mathematics, University of Ha'il, Ha'il, Saudi Arabia
[3] Department of Statistics, University of Tabuk, Tabuk, Saudi Arabia
[4] Department of Statistics, Allama Iqbal Open University, Islamabad, Pakistan
[5] Department of Statistics, University of Okara, Okara, Pakistan
来源：
Mathematical Problems in Engineering | 2021年 / 2021卷
关键词：
Risk assessment - Costs - Value engineering - Gold - Risk management;
D O I：
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学科分类号：
摘要：
Extreme value theory (EVT) is useful for modeling the impact of crashes or situations of extreme stress on investor portfolios. EVT is mostly utilized in financial modeling, risk management, insurance, and hydrology. The price of gold fluctuates considerably over time, and this introduces a risk on its own. The goal of this study is to analyze the risk of gold investment by applying the EVT to historical daily data for extreme daily losses and gains in the price of gold. We used daily gold prices in the Pakistan Bullion Market from August 1, 2011 to July 30, 2021. This paper covers two methods such as Block Maxima (BM) and Peak Over Threshold (POT) modeling. The risk measures which are adopted in this paper are Value at Risk (VaR) and Expected Shortfall (ES). The point and interval estimates of VaR and ES are obtained by fitting the Generalized Pareto (GPA) distribution. Moreover, in this paper, return-level forecasting is also included for the next 5 and 10 years by analyzing the Generalized Extreme Value (GEV) distribution. © 2021 Ghulam Raza Khan et al.
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