In: Statistics and Probability
Consider the situation where the maximum temperature in degrees Farenheit for the seven successive days in a certain week is the vector random variable, (T1,..., T7), where T1~U(70; 80); Tj+1 = 14 + 0:8Tj + 3Xj ; j = 1,...6; where X1,...,X6 i.i.d. N(0; 1). A weather derivative pays $100 if there are two or more days with maximum temperatures below 70 degrees. Using Monte Carlo simulation in R, compute the fair price of this derivative with relative error of no more than 1%.
Solution:
Using Monte Carlo simulation in @RISK Software the following working is shown:
The fair price of this derivative is $36.42.
Further summary is as below:
Name | Expected payoff/Maximum Temperature | Normal | T1 Uniform |
Description | output | Risk Normal(0,1) | Risk uniform(70,80) |
Cell | Sheet1!B14 | Sheet1!B2 | Sheet1!B3 |
Minimum | 0.00 | -3.994507 | 70.00043 |
Maximum | 100.000 | 3.821233 | 79.99939 |
Mean | 36.400 | -8.81336E-06 | 75 |
std Deviation | 48.117 | 0.9999822 | 2.886891 |
Variance | 2315.271 | 0.9999643 | 8.334138 |
Skewness | 0.5653987 | -0.000514297 | -8.52046E-07 |
Kurtosis | 1.31934 | 2.996927 | 1.799999 |