Suppose that Colorado Co., a U.S. based MNC, seeks to assess its transaction exposure using the value-at-risk (VaR) method over the next quarter. It is primarily concerned about its exposure in euros, as it has determined that the remainder of its portfolio is such that the effects of currency fluctuations typically offset. Suppose that, based on historical data, it has determined that the expected change in the value of the euro is -2.00% over the next quarter and that the standard deviation of these changes is 2.00%. Colorado assumes that these changes are normally distributed, such that the maximum quarterly loss lies within 1.65 standard deviations below the expected change with 95% confidence. Under this scenario, the maximum one-quarter loss due to transaction exposure is approximately with 95% confidence. Now suppose that, based on updated data, the standard deviation of changes in the euro is actually 5.00%. All else remains unchanged. Under this scenario the maximum one-quarter loss due to transaction exposure is ap smaller larger with 95% confidence. Based on these results, the larger standard deviation of the change in the euro, the the maximum loss will be.

International Financial Management
14th Edition
ISBN:9780357130698
Author:Madura
Publisher:Madura
Chapter12: Managing Economic Exposure And Translation Exposure
Section: Chapter Questions
Problem 3IEE
icon
Related questions
Question
Suppose that Colorado Co., a U.S. based MNC, seeks to assess its transaction exposure using the value-at-risk (VaR) method over the next quarter. It
is primarily concerned about its exposure in euros, as it has determined that the remainder of its portfolio is such that the effects of currency
fluctuations typically offset.
Suppose that, based on historical data, it has determined that the expected change in the value of the euro is -2.00% over the next quarter and that
the standard deviation of these changes is 2.00%. Colorado assumes that these changes are normally distributed, such that the maximum quarterly
loss lies within 1.65 standard deviations below the expected change with 95% confidence.
Under this scenario, the maximum one-quarter loss due to transaction exposure is approximately
with 95% confidence.
Now suppose that, based on updated data, the standard deviation of changes in the euro is actually 5.00%. All else remains unchanged.
Under this scenario the maximum one-quarter loss due to transaction exposure is ap
smaller
larger
with 95% confidence.
Based on these results, the larger standard deviation of the change in the euro, the
the maximum loss will be.
Transcribed Image Text:Suppose that Colorado Co., a U.S. based MNC, seeks to assess its transaction exposure using the value-at-risk (VaR) method over the next quarter. It is primarily concerned about its exposure in euros, as it has determined that the remainder of its portfolio is such that the effects of currency fluctuations typically offset. Suppose that, based on historical data, it has determined that the expected change in the value of the euro is -2.00% over the next quarter and that the standard deviation of these changes is 2.00%. Colorado assumes that these changes are normally distributed, such that the maximum quarterly loss lies within 1.65 standard deviations below the expected change with 95% confidence. Under this scenario, the maximum one-quarter loss due to transaction exposure is approximately with 95% confidence. Now suppose that, based on updated data, the standard deviation of changes in the euro is actually 5.00%. All else remains unchanged. Under this scenario the maximum one-quarter loss due to transaction exposure is ap smaller larger with 95% confidence. Based on these results, the larger standard deviation of the change in the euro, the the maximum loss will be.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 1 steps

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
International Financial Management
International Financial Management
Finance
ISBN:
9780357130698
Author:
Madura
Publisher:
Cengage