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A history of risk

Explore the history of market conditions and learn how to use mathematical tools to assess risk. Analyze Spirit Airlines' risk compared to other airlines and delve into the unpredictability of the stock market. Discover why it's challenging to obtain reliable advice and gain insights into calculating yearly returns in stocks.

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A history of risk

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  1. A history of risk What have previous market conditions taught us? Some math tools to help us Was the US stock market on an long winning streak?

  2. Application: Spirit Airlines • How does Spirit Airlines’ risk compare to other airlines? • How about when it first started operations? • When this company first opened, the idea of an ultra low cost airlines was not well-known among many people

  3. Who can predict the future? • Many people try to predict the future • Will the stock market go up or down today? • Who will win the NBA championship? • Will tomorrow’s temperature be higher than today’s? • What color will be on the roulette wheel next time? • Just for fun/expert status • Earning money with predictions • Who’s an expert? • Listen to arguments behind the prediction

  4. Why can’t we just get good advise to get ahead of others? • Because everyone else knows if it’s on the news! • The market reacts to revealed information • People that can interpret information better than others can benefit • Of course, never act on news in an illegal way • Example: Insider trading • You may get asked “What will happen to the stock market?” • How would you answer? What if you were a good predictor of the stock market?

  5. Getting back to the stock market • In previous lectures, we looked at simple ways to try to come up with stock value • Perpetuity • Growing perpetuity • High growth rate, followed by growing perpetuity (properly discounted)

  6. The real stock market • In reality, stocks go up and down in value on a daily basis • Market conditions change constantly • Companies regularly distribute information to the public • Sales • Earnings and dividends • Forecasts

  7. Calculating yearly returns in stocks • Assume that we buy a stock immediately after a dividend is paid • We want to find out what our yearly return to holding the stock for a year is • As before, we ignore tax issues

  8. Two ways we can calculate returns • Total dollar return • How much money do we gain (or lose) in a given year? • Percentage returns • What percentage of our stock’s value do we gain (or lose) in a year • I will typically refer to “returns” as “percentage returns” later on unless mentioned otherwise

  9. Two components to returns • Dividend paid one year from now • Could be nothing, or a positive amount • Change in the price of the stock

  10. Change in the price of the stock • A capital gain is the change in the percentage of a stock’s value in a given year • Some people refer to capital gains as simply the change in price (not percentage change) • In this class, unless I mention otherwise, a capital gain should be expressed as a percentage or fraction • Example: 14% or 0.14 • Of course, a capital loss can occur, in which the price of the stock goes down from one year to the next

  11. Calculating total dollar returns • Suppose we buy a share today for $50 • Dividend was just paid, so the next dividend is paid one year from now • The next dividend payment (one year from now) is $1.25 • The value of a share of the stock one year from today is $53.75

  12. Calculating total dollar returns • The total dollar returns (yearly) for each share we hold are the sum of the dividend paid and the change in value of the stock • Dividend is $1.25 • The change in value of the stock over the year is $53.75 – $50, or $3.75 • Total dollar return for this share is $5

  13. Calculating total dollar returns • Notice that the total dollar return for a stock is dependent on the number of shares we own • 1 share: Total dollar return is $5 • 2 shares: $10 • 1,000 shares: $5,000 • X shares: $5X

  14. Calculating percentage returns • Percentage returns have two components • Dividend yield • The dividend yield will help us to determine percentage returns • The dividend yield is simply next year’s dividend divided by the stock’s price today • Capital gains • I may refer to capital losses as negative capital gains

  15. Calculating percentage returns of our example • Buy a share for $50 today, $1.25 dividend one year from now, price of the stock one year from now is $53.75 • Dividend yield is $1.25 / $50 = 0.025 = 2.5% • Capital gain is ($53.75 – $50) / $50 = 0.075 = 7.5% • Percentage return is 0.025 + 0.075 = 0.10 = 10%

  16. A note about percentage returns • If we buy 1,000 shares in our previous example, note that the percentage return is still the same • Dividend yield is $1,250 / $50,000 = 0.025 • Capital gain is ($53,750 - $50,000) / $50,000 = 0.075 • Percentage return is still 10%, no matter how many shares of the stock we own

  17. Long-run returns • In the long run, we would like to make investments that give us the best expected return possible • However, we also want to make sure we do not have too much risk • Remember that investments with the highest expected payouts are also usually the riskiest • More on this in upcoming lectures • This is a trade-off that thousands of people make on a daily basis

  18. What is a typical investment strategy? • Many people invest in high-risk, high-expected-return investments in their 20s and 30s • Many years to smooth out risk • In your 40s and 50s, you may decide to start putting some of your money in safer investments • Preservation starts to become important • By the time you reach 60, you will likely be retired or be thinking about when you want to retire • Inflation becomes an issue once you retire

  19. What has happened? • Many baby boomers (those born between 1946-1964) have already begun to retire • Many in this generation have not retired • Why? • 2008: Financial crisis • High rates of return often assumed did not materialize

  20. An example • Henry is 60 years old on Jan. 1, 2006 • He has $2,000,000 invested in large-company stocks • He assumes that he will need $2,500,000 to retire • He assumes that the stock market will go up 8% each year until he retires • He will then convert his investments into safe government bonds Assume that all numbers are in real terms

  21. 8% assumption seems reasonable to many • Let’s look at 1995-2006: Large-company stock returns • Relatively low inflation (1.55-3.42%) • Returns over 20% each year 1995-1999 • Drops in 2000-2002 • 29% gain in 2003 • 11% gain in 2004 • 5% gain in 2005 • 16% gain in 2006 • Overall the stock market almost quadrupled over these 12 years • Equivalent to an 11.8% annual return compounded over the 12 years

  22. Henry • How long will it take until Henry retires? • Assume his assumption is correct • $2,000,000 in 2006 • $2,160,000 in 2007 • $2,332,800 in 2008 • $2,519,424 in 2009 • He will retire in 2009 • …or will he?

  23. Unheard of drop in stock prices • Let’s see what actually would have happened to Henry’s stock value (real values) on Jan. 1 of… • $2,000,000 in 2006 • $2,257,400 in 2007 • $2,287,649 in 2008 • $1,434,814 in 2009 • $1,775,582 in 2010 • $2,009,071 in 2011 • $1,991,391 in 2012 • $2,268,422 in 2013 • $2,960,064 in 2014 Calculated using data from: http://www.moneychimp.com/features/market_cagr.htm

  24. When will Henry retire? • He could decide to retire now and have a lower standard of living • He could work for two or three more years and then decide to retire unless the market goes down • Remember that in 2011 he was only 65 • “Normal” retirement age for Social Security is currently 66

  25. Why buy stocks? • Many people buy stocks since they have historically out-performed bonds and inflation • $1 in 1925 = • $27,419 in 2014 if invested in small-company stocks • $5,317 in 2014 if invested in large-company stocks • $135 in 2014 if invested in long-term government bonds • $61 in 2014 if invested in gold at New York market price • $21 in 2014 if invested in short-term government bonds • $13 in 2014 if indexed to inflation See Figure 10.4 for more information on wealth indices All calculations from the textbook, except for gold (http://www.measuringworth.com/datasets/gold/result.php)

  26. How do we calculate these values? • Assume that any dividends and coupons are re-invested • We can calculate the value of $1 invested today into the future • Stock purchased for $50 today • $1 dividend each year • $1 increase in the value of the stock each year

  27. Yearly rates of return • Year 1: $2 / $50 = 0.04 • Year 2: $2 / $52 = 0.038462 • Year 3: $2 / $54 = 0.037037 • Year 4: $2 / $56 = 0.035714 • Our four-year holding period return is • (1.04 * 1.038462 * 1.037037 * 1.035714) – 1 • 16% • Another way to look at this • $58 / $50 = 1.16  16% return

  28. Averaging returns over long periods of time • Two ways of doing this • Arithmetic average • Useful when doing statistical analysis • Often misleading when a lot of the returns are far from zero • Geometric average • Usually the preferred way for other types of analysis in this course

  29. Suppose that annual percentage returns on stocks are as follows over a five-year period 10% -5% 4% 3% 8% The arithmetic mean is .1-.05+.04+.03+.08 5 Arithmetic average return is 4% Calculating average returns

  30. Example • Case 1: Four years, annual percentage returns of 16%, 0%, 0%, 0% • Arithmetic average is 4% • $1 invested today is worth $1.16 in four years • Case 2: Four years, annual percentage returns of 4%, 4%, 4%, 4% • Arithmetic average is 4% • $1 invested today is worth about $1.17 in four years

  31. Calculating geometric average • The geometric average is the return that, when compounded over a time period, gets us from starting value to ending value • Example: Case 2 from the last slide • 4% is also the geometric average, since the annual percentage returns are 4% each year • (1.04)4≈ 1.17

  32. When are arithmetic and geometric means different? • The two means are different when the annual percentage returns are not constant over time • Example: Our previous Case 1 • Geometric mean is 1.161/4 = 1.037802 • Geometric average return is 1.037802 – 1 • 3.7802%

  33. How do we calculate geometric average returns in general? • Step 1: Find the product of (1 + return) each year • Step 2: Find the nth root of this product • Same as taking the (1/n)th power • Step 3: Subtract 1 to get the geometric average return

  34. Example • A stock has annual returns of 10%, -5%, 4%, 3%, 8% • Recall that the arithmetic average is 4% • Geometric average calculation • Step 1: (1.1)(0.95)(1.04)(1.03)(1.08) = 1.2090 • Step 2: 1.20901/5 = 1.038681 • Step 3: Geometric average return is 3.8681%

  35. Volatility • As we know, there is risk in almost any investment • For many types of investments, the distribution of returns is approximately normally distributed

  36. The normal distribution Source: Mwtoews, from http://en.wikipedia.org/wiki/File:Standard_deviation_diagram.svg

  37. The normal distribution and stock returns • If we know that the average return for a set of stocks is 11.7% and the standard deviation is 20.6%, then about 68.2% of stocks in this set will be expected to have a return between –8.9% and 32.3% Assume normal distributions of stock returns here

  38. More on volatility:Calculating standard deviation • As we just saw, one measure of risk is using standard deviation • To get standard deviation, we must first find variance, and then take the square root

  39. Steps to finding variance of a set of T stocks • Step 1: Find the arithmetic average • Step 2: For each stock, find the difference between the return and the average, and then square it • Step 3: Add up all of the numbers in Step 2 • Step 4: Divide by T – 1 We can also do this for yearly returns over many years instead of many stocks This method is the same as the formula in Example 10.3

  40. Finding variance:An example • Five stocks have returns of 5%, 3%, 4%, 7%, and 6% • Step 1: Arithmetic average is 5% • Step 2: (.05 - .05)2 = 0, (.03 - .05)2 = .0004, (.04 - .05)2 = .0001, (.07 - .05)2 = .0004, (.06 - .05)2 = .0001 • Step 3: The total of the five bolded #’s is .001 • Step 4: .001 / 4 = .00025

  41. Finding standard deviation • To get the standard deviation, we just take the square root of the variance • 0.000251/2 = 0.015811 • The standard deviation is 1.5811%

  42. The equity risk premium • The equity risk premium is the difference between average returns of stocks and short-term US government bonds • Recall that short-term US government bonds have the lowest risk • Short term aspect minimizes the interest rate risk • US government bonds are the safest investment in the US • Think of the premium as to the amount of extra expected return you get in exchange for taking on the risk of stock ownership

  43. Historical equity risk premiums • In the US, from 1900-2010, the historical equity risk premium was 7.2% • About 5-10% for most developed countries • How far back matters, however… • 1926-2011  Higher equity risk premium • 1802-2011  Lower equity risk premium • Equity risk premium from 1802-1925 was ~3½%

  44. How certain are we about our estimates? • We can use simple statistical methods to determine a confidence interval • An X% confidence interval tells us that there is an X% probability that the true mean return is with a calculated interval • Assumptions: Normal and independent distribution • Look at the 1900-2005 period

  45. 1900-2005 returns • Historical average: 7.41% • Standard deviation: 19.64% • Standard error of the average is calculated by taking the standard deviation and dividing by the square root of the number of observations (N) • SD = 19.64% and N = 106 • Let X = 95.4 here • We need to be within two standard errors 1900-2010: Lower average, higher s.d. How does this affect the confidence interval?

  46. Calculating standard error • Our 95.4% confidence interval is • 7.41 ± 2 * 19.64 / sqrt(106) = 7.41 ± 3.82 • Note that on page 320 of RWJ 9/e, the authors forget to multiply the fraction by 2 • Our 95.4% confidence interval for 1900-2005 • Lower bound: 3.59% • Upper bound: 11.23%

  47. Doing the same for 1926-2008 • Average, 7.71%; standard dev., 20.6% • 95.4% confidence interval is • 7.71 ± 2 * 20.6 / sqrt(83) = 7.71 ± 4.52 • Lower bound: 3.19% • Upper bound: 12.23% • Smaller sample size and including an extra outlier (2008) increases the size of our confidence interval

  48. Why do we see a premium for risk? • Recall that people are almost always risk averse when the stakes are high enough • You probably want an amount of money with certainty instead of a risky investment with the same expected value • The equity risk premium tells us how much additional return that the market wants (in equilibrium) to take on that risk • How do reward and risk relate to one another?

  49. Reward-to-risk ratio • It may be intuitive that the higher the risk, the greater the reward that we want • We will use the Sharpe ratio • Divide reward by risk • Reward measure: Yearly risk premium • Risk measure: Yearly standard deviation

  50. Calculating Sharpe ratios • US, 1900-2005 • Reward: 7.41% equity risk premium • Risk: 19.64% standard deviation • Sharpe ratio = 7.41 / 19.64 = .3773 • Other developed countries • A typical Sharpe ratio is in the 0.25-0.4 range • Higher Sharpe ratio is better… Why?

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