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Explore the concepts of nominal vs. real returns, holding period return, return distribution, risk measurement, and historical records in investment analysis. Learn how to calculate risk and return using tools like Sharpe ratio, historical data, and value at risk. Gain insights into multi-period return calculations, probability distributions, and volatility analysis.
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Return and Risk Returns – Nominal vs. Real Holding Period Return Multi-period Return Return Distribution Historical Record Risk and Return
Real vs. Nominal Rate • Real vs. Nominal Rate – Exact Calculation: • R: nominal interest rate (in monetary terms) • r: real interest rate (in purchasing powers) • i: inflation rate • Approximation (low inflation): • Example • 8% nominal rate, 5% inflation, real rate? • Exact: • Approximation:
Single Period Return • Holding Period Return: • Percentage gain during a period • HPR: holding period return • P0: beginning price • P1: ending price • D1: cash dividend • Example • You bought a stock at $20. A year later, the stock price appreciates to $24. You also receive a cash dividend of $1 during the year. What’s the HPR? P0 P1+D1 t = 0 t = 1
Multi-period Return: APR vs. EAR • APR – arithmetic average • EAR – geometric average • T: length of a holding period (in years) • HPR: holding period return • APR and EAR relationship
Multi-period Return - Examples • Example 1 • 25-year zero-coupon Treasury Bond • Example 2 • What’s the APR and EAR if monthly return is 1%
Return (Probability) Distribution • Moments of probability distribution • Mean: measure of central tendency • Variance or Standard Deviation (SD): measure of dispersion – measures RISK • Median: measure of half population point • Return Distribution • Describe frequency of returns falling to different levels
Measuring Risk and Return • You decide to invest in IBM, what will be your return over next year? • Scenario Analysis vs. Historical Record • Scenario Analysis: • Historical Record: • What time period historical data should you use? • What data is relevant now? 1930s? 1980s? 2008?
Risk and Return Measures • Scenario Analysis and Probability Distribution • Expected Return • Return Variance • Standard Deviation (“Risk”)
Risk and Return Measures • More Numerical Analysis • Using Excel
Risk and Return Measures • Example • Current stock price $23.50. • Forecast by analysts: • optimistic analysts (7): $35 target and $4.4 dividend • neutral analysts (6): $27 target and $4 dividend • pessimistic analysts (7): $15 target and $4 dividend • Expected HPR? Standard Deviation?
Accounting for Risk - Sharpe Ratio • Reward-to-Variability (Sharpe) Ratio • E[r] – rf - Risk Premium • r – rf - Excess Return • rf - Risk-free rate, i.e. 1 month T-Bill rate • Sharpe ratio for a portfolio: or
Risk and Horizon • S&P 500 Returns 1970 – 2005 • How do they compare* ? • Mean 0.0341*260 = 8.866% • Std. Dev. 1.0001*260 = 260.026% SURPRISED??? * There is approximately 260 working days in a year
Consecutive Returns It is accepted that stock returns are independent across time • Consider 260 days of returns r1,…, r260 • Means: E(ryear) = E(r1) + … + E(r260) • Variances vs. Standard Deviations: s(ryear) ¹s(r1) + … + s(r260) Var(ryear) = Var(r1) + … + Var(r260)
Consecutive Returns Volatility Daily volatility seems to be disproportionately huge! • S&P 500 Calculations • Daily: Var(rday) = 1.0001^2 = 1.0002001 • Yearly: Var(ryear) = 1.0002001*260 = 260.052 • Yearly: • Bottom line: Short-term risks are big, but they “cancel out” in the long run!
Normality Assumption • The normality assumption for simple returns is reasonable if the horizon is not too short (less than a month) or too long (decades).
Other Measures of Risk - Value at Risk • Term coined at J.P. Morgan in late 1980s • Alternative risk measurement to variance, focusing on the potential for large losses • VaR statements are typically made in $ and pertain to a particular investment horizon, e.g. • “Under normal market conditions, the most the portfolio can lose over a month is $2.5 million at the 95% confidence level”
Wrap-up • What is the holding period return? • What are the major ways of calculating multi-period returns? • What are the important moments of a probability distribution? • How do we measure risk and return?