
Explanation:
1-day normal 95% VaR = -[(0.16/252) - 1.645 * 0.27 / sqrt(252)] = 2.74%
1-day lognormal 95% VaR = 1 - exp[(0.13/252) - 0.29 * 1.645 / sqrt(252)] = 2.92%
Learning Objective: Estimate VaR using a parametric approach for both normal and lognormal asset price distributions.
Reference: Kevin Dowd, Measuring Market Risk, 2nd Edition (West Sussex, England: John Wiley & Sons, 2005). Chapter 3 - Estimating Market Risk Measures: An Introduction and Overview
Ultimate access to all questions.
No comments yet.
Assuming both daily arithmetic returns and daily geometric returns are serially independent, which of the following statements is correct?
A
The 1-day 95% normal VaR is 1.63% and the 1-day 95% lognormal VaR is 1.76%.
B
The 1-day 95% normal VaR is 2.69% and the 1-day 95% lognormal VaR is 2.88%.
C
The 1-day 95% normal VaR is 2.74% and the 1-day 95% lognormal VaR is 2.92%.
D
The 1-day 95% normal VaR is 3.26% and the 1-day 95% lognormal VaR is 3.48%.