Investment Risks Flashcards

1
Q

Reinvestment Risk

A

This type of risk refers to the inability of the investor to know the interest rate at which the proceeds from a maturing investment can be reinvested for the remainder of its holding period.

For example, if an investor with a six-month holding period buys a 90-day T-bill, he or she is taking on the risk that interest rates available in 90 days may be less than what he or she is currently getting.

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2
Q

Inflation Risk

A

Another source of systematic (nondiversifiable) risk is inflation. Inflation risk reflects the likelihood that rising prices will eat away the purchasing power of your money.

This risk is especially present in long-term bonds, wherein the par value paid - say twenty years down the road - will only provide a fraction of the purchasing power available today for an equivalent amount of money. For example, even at an average rate of 3% inflation over a twenty-year period, $1,000 received 20 years from now would only be worth $553 in today’s dollars.

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3
Q

Business Risk

A

Most stocks and corporate bonds are influenced by how well or poorly the company that issued them is performing. Business risk deals with fluctuations in investment value that are caused by good or bad management decisions, or how well or poorly the firm’s products are doing in the marketplace.

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4
Q

Tax Risk

A

Tax risk is defined as the investor being burdened with an unexpected tax liability. This risk is considered to be a diversifiable, unsystematic risk due to the fact that this risk is borne in asset-specific situations.

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5
Q

Investment Manager Risk

A

Investment manager risk is asset-specific and therefore is considered to be a diversifiable, nonsystematic risk. As with tax risk, pooled investments, by their nature, are where this risk is most acute. Anytime an investor delegates investment management responsibility for their portfolio (or fraction there of) to an investment manger, the investor will be exposed to this risk.

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6
Q

Financial Risk

A

Financial risk is associated with the use of debt by firms. As a firm takes on more debt, it also takes on interest and principal payments that must be made regardless of the firm’s performance. If the firm can’t make the payments, it could go bankrupt. Thus, how a firm raises money affects its level of risk. Financial risks are specific to the company and therefore are unsystematic (diversifiable).

Consider what happens when someone applies for a mortgage. The lender would conduct an analysis of the applicant’s ability to make payments.

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7
Q

Liquidity Risk

A

Liquidity risk deals with the inability to sell a security quickly and at a fair market price. The difference between liquidity and marketability is in the fair market price. Marketability refers to the ability to sell something. Liquidity not only means the ability to convert the asset to cash quickly, but also without a significant loss of the principal.

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8
Q

Market Risk

A

Market risk is associated with overall market movements. There tend to be periods of bull markets, when most stocks seem to move upward; and times of bear markets, when most stocks tend to decline in price.

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9
Q

Exchange Rate Risk

A

This type of risk refers to the variability in earnings resulting from changes in exchange rates. For example, if you invest in a German bond, you first convert your dollars into German euros. When you liquidate that investment, you sell your bond for German euros and convert those euros into dollars. What you earn on your investment depends on how well the investment performed and what happened to the exchange rate.

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10
Q

Sovereign Risk

A

Investors in a foreign country should evaluate the possibility that the foreign country’s government could collapse, its legal system could be inadequate or corrupt, its police force may not be able to maintain order, the settlement process for securities transactions breaks down occasionally, or other problems arise.

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11
Q

Call (Prepayment) Risk

A

Call risk is the risk to bondholders that a bond may be called away before maturity. “Calling” a bond refers to redeeming the bond early. Many bonds are callable. When a bond is called, the bondholder generally receives the face value of the bond plus one year of interest payments. This risk applies only to investments in callable bonds.

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12
Q

Characteristics of a Normal Distribution

A

Its shape is perfectly symmetrical.

Its mean and median are equal.

It is completely described by two parameters - its mean and variance.

The probability of a return greater than the mean is 50%.

The probability of a return less than its mean is 50%.

There is approximately a 68% probability that the actual return will lie within + / - one standard deviation from the mean.

There is approximately a 95% probability that the actual return will lie within + / - two standard deviations from the mean.

There is approximately a 99% probability that the actual return will lie within + / - three standard deviations from the mean.

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13
Q

Positively Skewed Distribution

A

A positively skewed distribution is characterized by many outliers in the upper, or right tail. A positively skewed distribution is said to be skewed right because of its relatively long upper tail. Stock market returns for instance, exhibit a positively skewed distribution. This should be evident by the fact that there are many more positive return years than negative ones.

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14
Q

Negatively Skewed Distribution

A

A negatively skewed distribution has many outliers that fall within its lower, or left tail. This type of distribution is said to be skewed left.

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15
Q

Lognormal Distribution

A

The lognormal distribution is closely related to a normal distribution. Like the normal distribution, the lognormal distribution is completely described by two parameters. These again, are the mean and variance. However, in the case of the lognormal distribution, the mean and the variance are of its associated normal distribution. In other words, in the real world we not only must track the mean and variance of the data set, we must also track the mean and variance of the data set’s distribution!

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16
Q

Expected Rate of Return

A

The weighted average of all the different rates of return in one probability distribution is called the expected return. It is denoted as E(r).

17
Q

Kurtosis

A

Kurtosis is a statistical measure that tells us when a distribution is more or less peaked than a normal distribution.

18
Q

Variance

A

The variance of an asset’s rates of return is a statistic that measures the asset’s wideness. The variance is represented by the symbols s2 and VAR(r).

19
Q

Standard Deviation

A

The standard deviation equals the square root of the variance. It measures the degree to which the asset may vary from the mean (the expected return) of the probability distribution of returns. The greater the degree of dispersion from the mean (expected return) equals the greater the degree of risk.

20
Q

Covariance

A

Co-variance measures the tendency for two random variables to move together (to co-vary). Instead of referring to the probability distribution for a single random variable, co-variance considers the joint probability distribution of two random variables.

21
Q

Beta Coefficient

A

The beta coefficient, or beta (B), measures the slope of one asset’s characteristic line. The beta coefficient, for example, of asset i is represented by the symbol Bi.

22
Q

Correlation Coefficient

A

The correlation coefficient squared is called the coefficient of determination, “R2,” or “R-squared.” R-squared measures the portion of the asset’s performance that can be attributed to the returns of the overall market. Since the correlation of coefficient’’s value is between –1 and 1, R-squared’s values can only be between 0 and 1 (the square of anything less than zero will equal a positive number).

If R-squared = 1, then the asset’s return is perfectly correlated with the return of the market.
If R-squared = 0, then the asset’s return has nothing to do with the market’s return.
The closer to one that an asset’s R-squared value is, the more reliable its beta.

Graphically speaking, if the actual points plotted between the asset’s return and the market’s return hover close to the characteristic line, then R-squared would be closer to one. If the points are scattered randomly away from the line, then R-squared is closer to zero.

23
Q

Systematic Risk

A

Systematic risk is the market or nondiversifiable risk inherent in an asset or portfolio of assets. It is variability that cannot be eliminated through diversification.

Examples (Systematic Risks)

Purchasing Power Risk (Inflation Risk)

Reinvestment Rate Risk

Interest Rate Risk

Market Risk

Exchange Rate Risk

24
Q

Unsystematic Risk

A

Unsystematic risk is company-specific risk that is diversifiable and can be offset by investing in other firms with opposing unsystematic risk. For example, if you own shares in a ski resort that does well only in the winter months, you may want to also own shares in a beach resort that does well in the summer months when the ski resort is not doing as well.

Examples (Unsystematic Risks)

Business Risk

Financial Risk

Credit (Default) Risk

Regulation Risk

Sovereignty Risk

25
Q

Which of the following terms refers to the weighted average of all the different rates of return in one probability distribution?

A. Alpha

B. Beta

C. Expected rate of return

D. Systematic risk

A

Correct Answer: C. Expected rate of return

Explanation: The expected rate of return is defined as the weighted average of various rates of return in one probability distribution. Alpha is the value on the vertical axis where the characteristic line intersects that axis, while beta measures the slope of one asset’s characteristic line. Systematic risk is that portion of a stock’s risk that cannot be eliminated through diversification.

26
Q

Which of the following is used to measure an investment’s beta and residual variance?

A. Characteristic line
B. Standard Deviation
C. Undiversifiable risk
D. Correlation coefficient

A

Correct Answer: A. Characteristic line

Explanation: The characteristic line is a simple linear regression used to measure an investment’s beta and residual variance. The standard deviation is the square root of the variance. Undiversifiable risk is that portion of a stock’s risk or variability that cannot be eliminated through diversification. The correlation coefficient is a goodness-of-fit statistic that measures how well the data points fit a regression line.

27
Q

What does the value of an asset’s variance, or the wideness of the probability distribution represent?

A. Additional risk that is firm specific
B. Undiversifiable risk that is market related
C. How closely two assets move together
D. The degree of risk associated with asset

A

Correct Answer: D. The degree of risk associated with asset

Explanation: Variance represents the amount of risk associated with an asset. The higher the value (the wider the distribution) the more likely the actual return will vary from the expected return. Covariance describes the relationship between two or more assets. The characteristic line identifies the diversifiable and undiversifiable risks.

28
Q

Which of the following statements are true?

A. A stock with beta of 0.7 is an aggressive stock.

B. A stock with R-squared of 70% has a return that was mostly caused by systematic risk.

C. A stock with alpha of .04 had a better return than the market.

D. A stock with R-squared of .7 is less correlated to the market than a stock with R-squared of .5.

E. A stock with beta of 1.3 is a defensive stock.

A

Correct Answer: B. and C.

Explanation: R-square represents the portion of return attributed to undiversifiable or systematic risk. Positive alpha values represent a better return than market, while negative ones denote that the market performed better. If beta is greater than 1, then the stock is aggressive and if it is less than 1, then the stock is defensive. The closer to 1 R-squared is, the more correlated to the market it is.

29
Q

If an asset’s distribution has excess kurtosis greater than 0, and is also positively skewed, then

A. the distribution is skewed to the left and will have fat tails
B. the distribution is skewed to the right and will have thin tails
C. the distribution is skewed to the left and will have thin tails
D. the distribution is skewed to the right and will have fat tails

A

Correct Answer: D. the distribution is skewed to the right and will have fat tails

Explanation: A positively skewed distribution is skewed to the right and a negatively skewed distribution is skewed to the left. Excess kurtosis greater than 0 describes a Leptokurtic distribution and will have fat tails.