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This primer explores the core concepts of risk and return in finance, emphasizing expected value calculations, variance, and standard deviation. We illustrate these ideas with a horse racing example to demonstrate expected winnings based on probabilities. Moreover, we analyze risk through historical data, showcasing how past performances aid in forming expectations. By providing insights into risk aversion, risk-free investments, and risk premiums, the document highlights the importance of understanding the trade-off between risk and return for informed investment decisions.
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Expectations • Expected value (μ) is weighted sum of possible outcomes • E(X) = μ = p1X1 + p2X2 + …. psXs • E(X) – Expected value of X • Xi – Outcome of X in state i • pi – Probability of state i • s – Number of possible states • Probabilities have to sum to 1 • p1 + p2 + …..+ ps = 1
Horse Race • There are three horse racing in the Finance Derby. Your horse is “Love of NPV”. If your horse has a 30% chance of coming in first, and a 40% chance of coming in second. How much do you expect your horse to win? • 1st pays $1,500 • 2nd pays $750 • 3rd pays $250
Horse Race • There are three horse racing in the Finance Derby. Your horse is “Love of NPV”. If your horse has a 30% chance of coming in first, and a 40% chance of coming in second. How much do you expect your horse to win? • 1st pays $1,500, 2nd pays $750, 3rd pays $250 • Chance of coming in 3rd: 1-0.3-0.4 = 0.3 • 0.3*1,500 + 0.4*750 + 0.3*250 = $825
What is risk? Uncertainty
Measuring Risk • There is no universally agreed-upon measure • However, variance and standard deviation are both widely accepted measures of total risk
Statistics Review: Variance • Variance (σ2) measures the dispersion of possible outcomes around μ • Standard deviation (σ) is the square root of variance • Higher variance (std dev), implies a higher dispersion of possible outcomes • More uncertainty
Variance Calculation • Variance = σ2 = Σpi * (Xi – μ)2: Use this one • Alternative formulas you may have seen • σ2 = Σ(Xi – μ)2 / N • σ2 = Σ(Xi – μ)2 / (N-1) • All give similar answers with large samples • BUT each give very different answers with small samples • Ex. s=3 σ2 = p1 * (X1 – μ)2 +p2 * (X2 – μ)2 +p3 * (X3 – μ)2
Risk Example • Economy is “Good” with 20% probability DJIA will return 20% • Economy is “Fair” with 30% probability DJIA will return 5% • Economy is “Bad” with 50% probability DJIA will return -9%
Calculations Expected Return = Variance = Standard Deviation =
Calculations Expected Return = p1X1 + p2X2 + p3X3 = 0.2*0.20+0.3*0.05+0.5*(-0.09) = 0.01 Variance = Standard Deviation =
Calculations Expected Return = 0.01 Variance = p1(X1- μX)2+p2(X2-μX)2+p3(X3-μX)2 =0.2*(0.20-0.01)2 + 0.3*(0.05-0.01)2 + 0.5*(-0.09-0.01)2 = 0.0127 =127 (%)2 Standard Deviation =
Calculations Expected Return = 0.01 Variance = 0.0127 =127 (%)2 Standard Deviation = √σ2 √0.0127 = 0.113 = 11.3%
Historical Data • In practice we do not know all of the possible states of the world, so we use historical data to form expectations • Idea: Look at what has happened in the past and we can calculate the mean and variance • What is each states probability of occurring?
Risk Example 2 • Sample Mean = 0.2*0.20+0.2*0.15+0.2*(-0.05)+0.2*0.05+0.2*0.10 = 0.09 = 9% • Sample Variance = = 0.2*(0.20-0.09)2 + 0.2*(0.15-0.09)2 + 0.2*(-0.05-0.09)2 + 0.2*(0.05-0.09)2 + 0.2*(0.10-0.09)2 = 74%2 • Standard Deviation = √0.0074 = 0.086 = 8.6%
Risk • A risky asset is one in which the rate of return is uncertain. • Risk is measured by ________________
Risk • A risky asset is one in which the rate of return in uncertain. • Risk is measured by standard deviation. • higher σ → more uncertainty
General Securities • T-bills are a very safe investment • No default risk, short maturity • Risk free asset • Stocks are much riskier • Bond’s riskiness is between T-bills and Stocks
Why Do We Demand a Higher Return • Investors seem to dislike risk (ex. insurance) • Risk Averse • If the expected return on T-Bills (risk-free), is 10%, and the expected return for Ford is 10%, which would you buy? • The 10% offered by T-Bills is guaranteed while this is not the case for Ford • A guaranteed 10% dominates a possible 10%
Return Breakdown • A risky asset’s return has two components: • Risk free rate + Risk premium • Risk free rate: The return one can earn from investing in T-Bills • Risk Premium: The return over and above the risk free rate • Compensation for bearing risk
Average Risk Premiums (1926-2005) • Small company stocks : • 17.4% – 3.8% = 13.6% • Large company stocks : • 12.3% – 3.8% = 8.5% • Long-term corporate bonds : • 6.2% – 3.8% = 2.4% • The more risk the larger the risk premium
The Risk-Return Tradeoff Highest Risk & Return: Small Cap Stocks, Large Cap Stocks, L.T.Corp bonds, L.T.Gov Bonds, U.S. T-Bills
Quick Quiz • Which of the investments discussed has had the highest average return and risk premium? • Which of the investments discussed has had the highest standard deviation?
Why we care? This is the very basics of investing General knowledge that “finance” people possess