Temperature Modeling and Pricing of Temperature Option
The temperature option not only provides the companies a way to transfer the weather risk, but also enriches our financial market investments. In this paper, we use the widely applied OrnsteinUhlenbeck process to build the temperature stochastic model, and use the daily average temperature data of Tianjin from 2000 to 2009 to evaluate the model parameters. Then we illustrate an example to illustrate the use of the Monte Carlo method to reasonably price temperature options.
weather risk temperature options stochastic model Monte Carlo
WEN Kaiqiang YANG Yi
Faculty of Management and Economics, Tianjin University, Tianjin, P.R. China
国际会议
2011 泉州技术管理研讨会(Quanzhou Conference on Management of Technology MOT2011)
福建泉州
英文
139-143
2011-04-16(万方平台首次上网日期,不代表论文的发表时间)