What is Risk? How can risk of securities be calculated? Explain your answer with example.


Q1. What is Risk? How can risk of securities be calculated? Explain your answer with example.

Risk in holding securities is generally associated with the possibility that realized returns will be less than the returns that were expected. The source of such disap-pointment is the failure of dividends (interest) and/or the security’s price to materialize as expected. Forces that contribute to variations in return-price or dividend (interest)-constitute elements of risk. Some influences are external to the firm, cannot be controlled, and affect large numbers of securities. Other influences are internal to the firm and are controllable to a large degree. In investments, those forces that are uncontrollable, external, and broad in their effect are called sources of systematic risk. Conversely, controllable internal factors somewhat peculiar to industries and/or firms are referred to as sources of unsystematic risk. The words risk and uncertainty are used interchangeably. Technically, their meanings are different. Risk suggests that a decision maker knows the possible consequences of a decision and their relative likelihoods at the time he makes that decision. Uncertainty, on the other hand, involves a situation about which the likelihood of the possible outcomes is not known. Systematic risk refers to that portion of total variability in return caused by factors affecting the prices of all securities. Economic, political, and sociological changes are sources of systematic risk. Their effect is to cause prices of nearly all individual common stock and/or all individual bonds to move together in the same manner. For example, if the economy is moving toward a recession and corporate profits shift downward, stock prices play decline across a broad front. On the average, 50 percent of the variation in a stock’s price can be explained by variation in the market index. In other words, about one-half the total risk in an average common stock is systematic risk. Unsystematic risk is the portion of total risk that is unique to a firm or indus-try. Factors such as management capability, consumer preferences, and labor strikes cause systematic variability of returns in a firm. Unsystematic factors are largely independent of factors affecting securities markets in general. Because these factors affect one firm, they must be examined for each firm.
Systematic Risk
Market Risk Finding stock prices falling from time to time while a company’s earnings are ris-ing, and vice versa, is not uncommon. The price of stock may fluctuate widely within a short span of time even though earnings remain unchanged. The causes of this phenomenon are varied, but it is mainly due to change in investors’ attitudes toward equities in general, or toward certain types or groups of securities in partic-ular. Variability in return on most common stocks that is due to basic sweeping changes in investor expectations is referred to as market risk. Market risk is caused by investor reaction to tangible as well as intangible events. Expectations of lower corporate profits in general may cause the larger body of common stocks to fall in price. Investors are expressing their judgment that too much is being paid for earnings in the light of anticipated events. The basis for the reaction is a set of real, tangible events-political, social, or economic. Intangible events are related to market psychology. Market risk is usually touched off by a reaction to real events, but the emotional instability of investors acting collectively leads to a snowballing overreaction. The initial decline in the market can cause the fear of loss to grip investors, and a kind of herd instinct builds as all investors make for the exit. These reactions to reactions frequently culminate in excessive selling, pushing prices down far out of line with fundamen-tal value. With a trigger mechanism such as the assassination of a politician, the threat of war, or an oil shortage, virtually all stocks are adversely affected. Like-wise, stocks in a particular industry group can be hard hit when the industry goes “out of fashion
Interest Rate Risk Interest-rate risk refers to the uncertainty of future market values and of the size of future income, caused by fluctuations in the general level of interest rates. The root cause of interest-rate risk lies in the fact that, as the rate of interest paid on government securities rises or falls, the rates of return de-manded on alternative investment vehicles, such as stocks and bonds issued in the private sector, rise or fall. In other words, as the cost of money changes for nearly risk-free securities, the cost of money to more risk-prone issuers (private sector) will also change. The direct ef-fect of increases in the level of interest rates is to cause security prices to fall across a wide span of investment vehicles. Similarly, falling interest rates precipitate price markups on outstanding securities. In addition to the direct, systematic effect on bonds, there are indirect effects on common stocks. First, lower or higher interest rates make the purchase of stocks on margin more or less attractive. Higher interest rates, for example, may lead to lower stock prices because of a diminished demand for equi-ties by speculators who use margin. Ebullient stock markets are at times propelled to some excesses by margin buying when interest rates are relatively low. Second, many firm such as public utilities finance their operations quite heavily with borrowed funds. Others, such as financial institutions, are principally in the business of lending money. As interest rates advance, firms with heavy doses of borrowed capital find that more of their income goes toward paying interest on borrowed money. This may lead to lower earnings, dividends, and share prices. Advancing interest rates can bring higher earnings to lending institutions whose principal revenue source is interest received on loans. For these firms, higher earn-ings could lead to increased dividends and stock prices.
Purchasing Power Risk Market risk and interest-rate risk can be defined in terms of uncertainties as to the amount of current rupees to be received by an investor. Purchasing-power risk is the uncertainty of the purchasing power of the amounts to be received. In more everyday terms, purchasing-power risk refers to the impact of inflation or deflation on an investment. If we think of investment as the postponement of consumption, we can see that when a person purchases a stock, he has foregone the opportunity to buy some good or service for as long as he own the stock. If, during the holding period, prices on desired goods and services rise, the investor actually loses purchasing power. Rising prices on goods and services are normally associated with what is re-ferred to as inflation. Falling prices on goods and services are termed deflation. Both inflation and deflation are covered in the all-encompassing term purchasing -power risk. Generally, purchasing-power risk has come to be identified with infla-tion (rising prices); the incidence of declining prices in most countries has been slight. Rational investors should include in their estimate of expected return an al-lowance for purchasing-power risk, in the form of an expected annual percentage change in prices. If a cost-ofliving index begins the year at 100 and ends at 103, we say that the rate of increase (inflation) is 3 percent [(103-100)/100]. If from the sec-ond to the third year, the index changes from 103 to 109; the rate is about 5.8 percent [(109-103)/103]. Just as changes in interest rates have a systematic influence on the prices of all securities, both bonds and stocks, so too do anticipated purchasing-power changes manifest themselves. If annual changes in the consumer price index or other measure of purchasing power have been averaging steadily around 3.5 percent, and prices will apparently spurt ahead by 4.5 percent over the next year, re-quired rates of return will adjust upward. This process will affect government and corporate bonds as well as common stocks. Market, purchasing power, and interest-rate risk are the principle sources of systematic risk in securities; but we should also consider another important cate-gory of security risks-unsystematic risks.
Unsystematic Risk
Unsystematic risk is that portion of total risk that is unique or peculiar to a firm or an industry, above and beyond those affecting securities markets in general. Factors such as management capability, consumer preferences, and labor strikes can cause unsystematic variability of returns for a company’s stock. Because these factors affect one industry and/or one firm, they must be examined separately for each company. The uncertainty surrounding the ability of the issuer to make payments on se-curities stems from two sources: (1) the operating environment of the business, and (2) the financing of the firm. These risks are referred to as business risk and finan-cial risk, respectively. They are strictly a function of the operating conditions of the firm and the way in which it chooses to finance its operations.
Business Risk - Business risk is a function of the operating conditions faced by a firm and the vari-ability these conditions inject into operating income and expected dividends. In other words, if operating earnings are expected to increase 10 percent per year over the foreseeable future, business risk would be higher if operating earnings could grow as much as 14 percent or as little as 6 percent than if the range were from a high of 11 percent to a low of 9 percent. The degree of variation from the expected trend would measure business risk. Business risk can be divided into two broad categories: external and internal. Internal business risk is largely associated with the efficiency with which a firm con-ducts its operations within the broader operating environment imposed upon it. Each firm has its own set of internal risks, and the degree to which it is successful in coping with them is reflected in operating efficiency. To a large extent, external business risk is the result of operating conditions imposes upon the firm by circumstances beyond its control. Each firm also faces its own set of external risks, depending upon the specific operating environmental factors with which it must deal. The external factors, from cost of money to defense-budget cuts to higher tariffs- to a downswing in the business cycle, are far too numerous to list in detail, but the most pervasive external risk factor is proba-bly the business cycle. The sales of some industries (steel, autos) tend to move in tandem with the business cycle, while the sales of others move counter cyclically (housing). Demographic considerations can also influence revenues through changes in the birthrate or the geographical distribution of the population by age, group, race, and so on. Political policies are a part of external business risk; gov-ernment policies with regard to monetary and fiscal matters can affect revenues through the effect on the cost and availability of funds. If money is more expen-sive, consumers who buy on credit may postpone purchases, and municipal gov-ernments may not sell bonds to finance a water-treatment plant. The impact upon retail stores, television manufacturers, and producers of water-purification sys-tems is clear.
Financial Risk - Financial risk is associated with the way in which a company finances its activities. We usually gauge financial risk by looking at the capital structure of a firm. The presence of borrowed money or debt in the capital structure creates fixed pay-ments in the form of interest that must be sustained by the firm. The presence of these interest commitments - fixed-interest payments due to debt or fixed-divi-dend payments on preferred stock-causes the amount of residual earnings avail-able for common-stock dividends to be more variable than if no interest payments were required. Financial risk is avoidable risk to the extent that managements have the freedom to decide to borrow or not to borrow funds. A firm with no debt fi-nancing has no financial risk. By engaging in debt financing, the firm changes the characteristics of the earnings stream available to the common-stock holders. Specifically, the reliance on debt financing, called financial leverage, has at least three important effects on common-stock holders.” Debt financing (1) increases the variability of their re-turns, (2) affects their expectations concerning

Assigning Risk Allowances (Premiums) One way of quantifying risk and building a required rate of return (r), would be to express the required rate as comprising a risk less rate plus compensation for individual risk factors previously enunciated, or as: r = i + p + b + f + m + o Where: i = real interest rate (risk less rate) p = purchasing-power-risk allowance b = business-risk allowance f = financial-risk allowance m = market-risk allowance o = allowance for “other” riskThe first step would be to determine a suitable risk less rate of interest. Unfor-tunately, no investment is risk-free, The return on Treasury bills or an insured savings account, whichever is relevant to an individual investor, can be used as an approximate risk less rate. Savings accounts possess purchasing-power risk and are subject to interest-rate risk of income but not principal government bills are subject to interest-rate risk of principal. The risk less rate might by 8 percentTo quantify the separate effects of each type of systematic and unsystematic risk is difficult because of overlapping effects and the sheer complexity involved.
 Stating Predictions “Scientifically”
Security analysts cannot be expected to predict with certainty whether a stock’s price will increase or decrease or by how much. The amount of dividend income may be subject to more or less uncertainty than price in the estimating process. The reasons are simple enough. Analysts cannot understand political and socioeco-nomic forces completely enough to permit predictions that are beyond doubt or error. This existence of uncertainty does not mean that security analysis is value-less. It does mean that analysts must strive to provide not only careful and rea-sonable estimates of return but also some measure of the degree of uncertainty associated with these estimates of return. Most important, the analyst must be prepared to quantify the risk that a given stock will fail to realize its expected return. The quantification of risk is necessary to ensure uniform interpretation and comparison. Verbal definitions simply do not lend themselves to analysis. A deci-sion on whether to buy stock A or stock B, both of which are expected to return 10 percent, is not made easy by the mere statement that only a “slight” or “minimal” likelihood exists that the return on either will be less than 10 percent. This sort of vagueness should be avoided. Although whatever quantitative measure of risk is used will be at most only a proxy for true risk, such a measure provides analysts with a description that facilitates uniform communication, analysis, and ranking. Pressed on what he meant when he said that stock A would have a return of 10 percent over some holding period, an analyst might suggest that 10 percent is, in a sense, a “middling” estimate or a “best guess.” In other words, the return could be above, below, or equal to 10 percent. He might express the degree of confidence he has in his estimate by saying that the return is “very likely” to be between 9 and 11 percent, or perhaps between 6 and 14 percent. A more precise measurement of uncertainty about these predictions would be to gauge the extent to which actual return is likely to differ from predicted re-turn-that is, the dispersion around the expected return. Suppose that stock A, in the opinion of the analyst, could provide returns as follows:















This is similar to weather forecasting. We have all heard the phrase a 2-in-10 chance of rain. This likelihood of outcome can be stated in fractional or decimal terms. Such a figure is referred to as a probability. Thus, a 2-in-10 chance is equal to 2/10, or 0.10. A likelihood of four chances in twenty is 4/20, or 0.20. When individ-ual events in a group of events are assigned probabilities, we have a probability dis-tribution. The total of the probabilities assigned to individual events in a group of events must always equal 1.00 (or 10/10, 20/20, and so on). A sum less than 1.00 in-dicates that events have been left out. A sum in excess of 1.00 implies incorrect as-signment of weights or the inclusion of events that could not occur. Let us recast our “likelihoods” into “probabilities.”


Based upon his analysis of economic, industry, and company factors, the analyst as-signs probabilities subjectively. The number of different holding-period returns to be considered is a matter of his choice. In this case, the return of 7 percent could mean “between 6.5 and 7.5 percent.” Alternatively, the analyst could have speci-fied 6.5 to 7 percent and 7 to 7.5 percent as two outcomes, rather than just 7 per-cent. This fine-tuning provides greater detail in prediction. Security analysts use the probability distribution of return to specify expected return as well as risk. The expected return is the weighted average of the returns. That is, if we multiply each return by its associated probability and add the results together, we get a weighted-average return or what we call the expected average return


The expected average return is 10 percent. The expected return lies at the center of the distribution. Most of the possible outcomes lie either above or below it. The “spread” of possible returns about the expected return can be used to give us a proxy of risk. Two stocks can have identical expected returns but quite different spreads, or dispersions, and thus different risks. Consider stock B:




Stocks A and B have identical expected average returns of 10 percent. But the spreads for stocks A and B are not the same. For one thing, the rage of outcomes from high to low return is wider for stock A (7 to 13). For stock B, the range is only 9 to 11. However, a wider range of outcomes does not necessarily imply greater risk; the range as a measure of dispersion ignores the relative probabilities of each of the outcomes. The spread or dispersion of the probability distribution can also be measured by the degree of variation around the expected return. The deviation of any out-come from the expected return is: Outcome — Expected return Because outcomes do not have equal probabilities of occurrence, we must weight each difference by its probability: Probability X (Outcome - Expected return) For purposes of computing a variance, we will square the deviations or differences before multiplying them by the relative probabilities: Probability X (Outcome - Expected return)2 The value of the squaring can be seen in a simple example. Assume three returns- 9, 10, and 11 percent, each equally likely to occur. The expected return is thus (9%) * 0.33 + (10%) * 0.33 = 0.10. Because 10 percent is the expected return, the other values must lie equally above and below it. If we took an average of the deviations from 10 percent, we would get: Weighted deviation = 0.33 X (9 - 10) = -0.33 = 0.33 X (10 - 10) = 0 = .33 X (11 - 10) = + 0.33 The sum of the deviations or differences, multiplied by their respective probabilities, equals +0.33, (- .33), or zero. Squaring the differences eliminates the plus and minus signs to give us a better feel for the deviation. The variance is the weighted average of the squared deviations, with each weighted by its probability. The calculation of the variance for stocks A and B is given below. The larger variation about the expected return for stock A is indicated in its variance relative to stock B (2.10 versus 0.60). Also shown is the standard deviation, the square root of the variance


In general, the expected return, variance, and standard deviation of outcomes can be shown as: R = S i n =1 Pi Oi s 2 = S i n =1 Pi (Oi - R)2 s = (s) 1/2 Where, R = expected return ó 2 = variance of expected return ó = standard deviation of expected return P = probability O = outcome n = total number of different outcomes The variability of return around the expected average is thus a quantitative descrip-tion of risk. Moreover, this measure of risk is simply a proxy or surrogate for risk because other measures could be used. The total variance is the rate of return on a stock around the expected average that includes both systematic and unsystematic risk


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