Risk Management under Extreme Loss
This paper empirically analyzes tail behavior of rice loss due to typhoon. One of the issues of risk management is the choice of the distribution of loss data. Using peak-over-threshold approach to extreme value modeling, we fitted generalized Pareto distribution to agriculture natural disaster loss data of Taiwan from 1971 to 2005. By comparing with standard parametric loss modeling based on lognormal and gamma distributions, the appropriateness of the upper tail fitting to loss data and find generalized Pareto distribution outperforms classical parametric fits was evaluated. Finally, we computed tail risk measures and draw some implication of risk management.
generalized Pareto distribution maximum likelihood estimate value-at-risk expected shortfall T-year return level
Li-Hua Lai Pei-Hsuan Wu
Department and Graduate Institute of Risk Management and Insurance, National Kaohsiung First Univers Institute of Management, National Kaohsiung First University of Science and Technology, Taiwan Depar
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)