Question

In: Finance

Explain why the linear model can provide only approximate estimates of VaR for a portfolio containing...

Explain why the linear model can provide only approximate estimates of VaR for a portfolio
containing options

Solutions

Expert Solution

Answer) The change in the value of option not linearly relates to change in value of underlying variables . Thus when the change in value of underlying variable is normal , the change in value of option is not normal .

But the linear model asumes that it is normal or we can say that the linear model assumes that the change in the value of a portfolio is linearly related to percentage changes in the underlying variables.

It is therefore only an approximation for a portfolio containing options .


Related Solutions

Question: Explain why VaR is not a coherent measure. Which property does VaR not satisfy? Provide...
Question: Explain why VaR is not a coherent measure. Which property does VaR not satisfy? Provide an example to show how VaR fails to satisfy this property.
Can you use linear regression framework to model non-linear relationships? Explain how.
Can you use linear regression framework to model non-linear relationships? Explain how.
Elaborate how one can estimate the unrestricted VAR model and VECM.
Elaborate how one can estimate the unrestricted VAR model and VECM.
Prove that the least squares estimates in a simple linear regression model are unbiased. Be sure...
Prove that the least squares estimates in a simple linear regression model are unbiased. Be sure to state carefully the assumptions under which your proof holds.
Explain why you choose multiple regression with dummy variables but not linear trend model and why...
Explain why you choose multiple regression with dummy variables but not linear trend model and why do you believe this technique is appropriate to forecast your data?
We can approximate the continuous-time tank model of the previous problem by a discrete model as...
We can approximate the continuous-time tank model of the previous problem by a discrete model as follows. Assume that we only observe the tank contents each minute (time is now discrete). During each minute, 20 liters (or 10% of each tank’s contents) are transferred to the other tank. Let x1(t) and x2(t) be the amounts of salt in each tank at time t. We then have: x1(t + 1) = 9 /10 x1(t) + 1 /10 x2(t) x2(t + 1)...
Explain why immunizing a portfolio and making it Gamma neutral only may be ineffective in removing...
Explain why immunizing a portfolio and making it Gamma neutral only may be ineffective in removing underlying price risk.
1. Explain why the linear probability model is inadequate as a specification for binary dependent variable...
1. Explain why the linear probability model is inadequate as a specification for binary dependent variable estimation. 2. How can we measure whether the probit and logit model that we have estimated fits the data well or not? 3. How does R-square for the OLS differ frmo the pseduo R-square for binary models?
1a)Explain when you can approximate a hypogeometric distribution using a binomial distribution. Why can we do...
1a)Explain when you can approximate a hypogeometric distribution using a binomial distribution. Why can we do this? Use an example to illustrate the approximation. b) Prove that if X follows a uniform distribution, the expectation is the average of all the outcomes.
Explain why a typical linear regression model can’t be used for time series analysis and describe...
Explain why a typical linear regression model can’t be used for time series analysis and describe an example of a time series
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT