Investment Risks - Review Questions Flashcards
Which of the following are examples of business risk? (Check all that are true.)
1) Interest rates
2) Reinvestment
3) Inflation
4) Change in manufacturing process
5) Leveraged buyout
6) CEO charged with unethical business practices
4) Change in manufacturing process
5) Leveraged buyout
6) CEO charged with unethical business practices
Business specific risks are uniquely associated with the company or entity issuing the security. Change in processes may increase short-term expenses but improve a company’s efficiency in production in the long-term. A company being bought out can be beneficial (e.g., IBM purchases lotus) or detrimental (company is broken up and sold in pieces). Charges for any illegal activities or business practices can be detrimental for the company’s stock.
The Euro/$ is currently Euro 1.25. If the dollar depreciates by 10%, what is the new Euro/$ exchange rate?
1) 1.428
2) 1.375
3) 1.125
4) 1.250
3) 1.125
Answer: 1.125. If the U.S. dollar has depreciated, it will buy less Euro’s. Therefore the exchange rate will go down to reflect the lowered buying power of the dollar versus the Euro.
Given that the S&P 500 Index has an expected pre-tax return of 11% and a standard deviation of 8%, if a client invests $10K in the S&P Index fund, what is the probability that he or she will have a return greater than 3%?
1) 95%
2) 84%
3) 16%
4) 34%
2) 84%
Because 3% is 1 standard deviation from the mean of 11%, the probability of getting a return between 3% and 11% is 34% (1/2 of 68%). The probability of getting a return above 11% is 50%. Therefore, the probability of a return above 3% is 84% (50% + 34%)
Normal distribution has excess kurtosis of ?
Zero
Financial risk management uses tools such as Value at Risk (VAR) and downside risk to access the probability of returns being less than some predetermined amount. The issue with leptokurtic distributions is that they have a larger area in their tails (known as fat tails). These distributions are measured by kurtosis. By definition, normal distributions have kurtosis equal to three. However, most statistical package report excess kurtosis, which is kurtosis minus three. Therefore, a normal distribution has excess kurtosis equal to zero, a leptokurtic distribution has excess kurtosis greater than 0, and a platykurtic distribution has excess kurtosis less than 0.
A leptokurtic distribution has excess kurtosis of ?
Greater than 0
Financial risk management uses tools such as Value at Risk (VAR) and downside risk to access the probability of returns being less than some predetermined amount. The issue with leptokurtic distributions is that they have a larger area in their tails (known as fat tails). These distributions are measured by kurtosis. By definition, normal distributions have kurtosis equal to three. However, most statistical package report excess kurtosis, which is kurtosis minus three. Therefore, a normal distribution has excess kurtosis equal to zero, a leptokurtic distribution has excess kurtosis greater than 0, and a platykurtic distribution has excess kurtosis less than 0.
A platykurtic distribution has excess kurtosis
Less than 0
Financial risk management uses tools such as Value at Risk (VAR) and downside risk to access the probability of returns being less than some predetermined amount. The issue with leptokurtic distributions is that they have a larger area in their tails (known as fat tails). These distributions are measured by kurtosis. By definition, normal distributions have kurtosis equal to three. However, most statistical package report excess kurtosis, which is kurtosis minus three. Therefore, a normal distribution has excess kurtosis equal to zero, a leptokurtic distribution has excess kurtosis greater than 0, and a platykurtic distribution has excess kurtosis less than 0.
Which distribution has greater probability of extreme events.
Leptokurtic distribution
Leptokurtic distributions have greater probability of extreme events. Because there is a higher probability of returns around the mean, there also becomes higher probably of an extreme event in the “tails” or far ends of the distribution.
Which Leptokurtic tail event would include an extreme negative event such as market conditions in 2008
1) Left Tail
2) Right Tail
1) Left Tail
Be aware that Leptokurtic distributions have greater probability of extreme events. Because there is a higher probability of returns around the mean, there also becomes higher probably of an extreme event in the “tails” or far ends of the distribution. In addition, terminology often refers to “left tail” or “right tail” events. Consider the left tail is below average and the right tail is above average. This means reference to a left tail event would include an extreme negative event such as market conditions in 2008.
Normal Distribution - There is approximately a 68% probability that the actual return will lie within ?
+ / - one standard deviation from the mean.
Normal Distribution - There is approximately a 95% probability that the actual return will lie within ?
+ / - two standard deviations from the mean.
Normal Distribution - There is approximately a 99% probability that the actual return will lie within ?
+ / - three standard deviations from the mean.
What is the effective standard deviation over the holding period of 10 years of S&P 500 with Standard Deviation of 15%
1) 3.75%
2) 4.75%
3) 5.75%
4) 6.75%
2) 4.75%
15%/Sqaureroot(10)=4.74%≈4.75%
Returning to the probability distribution principles, holding onto the S&P for 10 years, I am 95 % certain that I will realize a return of 10% +/- (2 * 4.75%) = range of .5% to 19.5%.
Because - There is approximately a 95% probability that the actual return will lie within + / - two standard deviations from the mean.
A mutual fund is advertised with a beta of 1.6 and a R-squared of 0.24. A sales person tries to sell the fund to you based on the fact that it will outperform the market during an expansion. What is the flaw in his or her sales pitch?
With an R-squared of .24, the fund’s beta is not a reliable statistic to use. Therefore, for the salesperson to imply that a beta of 1.6 will outperform the market during an expansion is inappropriate, since 76% of the fund’s variability of return is due to unsystematic (company specific) forces.
If Coca-Cola’s correlation coefficient is 0.785, then what portion of its risk during that period is nondiversifiable?
The nondiversifiable portion of the return would be R-squared or the correlation of coefficient squared. (0.785)² = 0.616 or 61.6%. Therefore, 61.6% of Coca-Cola’s return for that period is based on the systematic risk.
If Coca-Cola’s correlation coefficient is 0.785, then what portion of its risk during that period is diversifiable?
If Coca-Cola’s systematic risk is (0.785)² = 0.616 or 61.6%, then 1 - 0.616 = 0.384 or 38.4%. Therefore, 38.4% of Coca-Cola’s return for that period is based on its unsystematic risk and is diversifiable.