Slide strategic financial management l04

STRATEGIC FINANCIAL MANAGEMENT Hurdle Rate: The Basics of Risk II KHURAM RAZA First Principle and Big Picture The Basics of Risk Defining the Risk Equity Risk and Expected Returns Measuring Risk Rewarded and Unrewarded Risk  The Components of Risk  Why Diversification Reduces the Risk Measuring Market Risk The Capital Asset Pricing Model The Arbitrage Pricing Model Multi-factor Models for risk and return Proxy Models The Risk in Borrowing   The Determinants of Default Risk Default Risk and Interest rates The Basics of Risk Defining the Risk Equity Risk and Expected Returns Measuring Risk Rewarded and Unrewarded Risk  The Components of Risk  Why Diversification Reduces the Risk Measuring Market Risk The Capital Asset Pricing Model The Arbitrage Pricing Model Multi-factor Models for risk and return Proxy Models The Risk in Borrowing   The Determinants of Default Risk Default Risk and Interest rates Measuring Market Risk Measuring Market Risk Mean - Variance Optimization 2 2 Return   w   w wA wtoB  p A A B B  According A, B A B Markowitz’s % 10% A B approach, investors should A evaluate portfolios based on ρa,b ρ their return anda,c risk as measured by the Cstandard B ρb,c deviation  p   A2 wA2   B2 wB2   C2 wC2  2wA wB  A, B A B  2wB wC  B ,C B C  2wA wC  A,C A C 5% C A To analyze 50 stocks, the input list includes: n = 50 estimates of expected returns B n = 50 estimates of variances (n2 - n)/2 = 1,225 estimates 5% of covariance's 20% Risk 1,325 estimates C If n = 3,000 (roughly the number of NYSE stocks), we need more To the risk-averse wealth maximizer, the choices are clear, A dominates B, than 4.5 million estimates A dominates C D Capital-Asset Pricing Model Efficient portfolio – a portfolio that has the smallest portfolio risk for a given level of expected return or the largest expected return for a given level of risk Efficient set (frontier) – Portfolio that offers the best risk-expected return combinations available to investors  Minimum Variance Portfolio  It represented by the all the common stocks  High correlation with all portfolios excess return over the risk free rate CAPM-Assumptions  Capital Markets are Efficient  Investor are well informed  No transaction cost  No investor is large enough to affect the market price of a stock  Investors are rational mean-variance optimizers  Investors are in general agreement • Performance of individual securities • Common holding period  Two types of investment opportunities  Risky Assets (portfolios of common stocks)  Risk-free security CAPM-The Characteristic Line A line that describes the relationship between an individual security’s returns and returns on the market portfolio The slope of this line is beta Beta: An Index of Systematic Risk Over Priced & under priced stocks The Arbitrage Pricing Model  Like the capital asset pricing model, the arbitrage pricing model begins by breaking risk down into two components  The first is firm specific and covers information that affects primarily the firm  The second is the market risk that affects all investment; this would include unanticipated changes in a number of economic variables, including  Gross national product,  Inflation, and  Interest rates ri = + bi1F1 + bi2F2 + …+bikFk Multi-factor Models for risk and return Multi-factor models generally are not based on extensive economic rationale but are determined by the data Once the number of factors has been identified in the arbitrage pricing model, the behavior of the factors over time can be extracted from the data These factor time series can then be compared to the time series of macroeconomic variables to see if any of the variables are correlated, over time, with the identified factors Multi-factor Models for risk and return  a study from the 1980s suggested that the following macroeconomic variables were highly correlated with the factors that come out of factor analysis:  industrial production,  changes in the premium paid on corporate bonds over the riskless rate,  shifts in the term structure,  unanticipated inflation,  and changes in the real rate of return  These variables can then be correlated with returns to come up with a model of expected returns, with firm-specific betas calculated relative to each variable The equation for expected returns will take the following form:  E(R) = Rf + ß GNP (E(R GNP )-Rf ) + ß i (E(Ri)-Rf) + ßg (E(Rg)-Rf) Proxy Models  The Fama-French Three-Factor Model is an advancement of the Capital Asset Pricing Model (CAPM) Beta is the brainchild of CAPM, which is designed to determine a theoretically appropriate required rate of return of any investment and compare the riskiness of an investment to the risk of the market  Fama and French found that on average, a portfolio’s beta is the reason for 70% of its actual stock returns Unsatisfied, they thought, rightly, that there was an even better explanation They discovered that figure jumps to 95% with the combination of beta, size and value Proxy Models They added these two factors to a standard CAPM:  SMB = “small [market capitalization] minus big” "Size" This is the return of small stocks minus that of large stocks When small stocks well relative to large stocks this will be positive, and when they worse than large stocks, this will be negative  HML = “high [book/price] minus low” "Value" This is the return of value stocks minus growth stocks, which can likewise be positive or negative The Risk in Borrowing Bounds Ratings In contrast to the general risk and return models for equity, which evaluate the effects of market risk on expected returns, models of Borrowing risk measure the consequences of firm-specific on promised returns risk Financial Ratios  Default Risk  Return on assets  Interest Rate Risk  Debt ratios  Interest coverage ratio Interest Rate Risk Default Risk Contract termstend to rise in value when corporates byrates a mortgage Function of firm capacity to Secured interest fall, and they fall in value  Subordinated when interest rates rise to other debt Usually, the generate cash flows from longerfund theprovisions maturity, the greater the  Sinking operations and its financial degree of price volatility  Guarantees by some other party  When interest rates rise, new issues obligations, its depends on Qualitative Factors come market with higher yields  generate high cash flows Sensitivity oftoearnings to the economy than older securities, making those  more stable the cash flows  Affected byones inflation older worth less Hence, their  Laborprices  more liquid a firm’s assets problems go down and and vise versa  Potential environmental problems ... returns, models of Borrowing risk measure the consequences of firm-specific on promised returns risk Financial Ratios  Default Risk  Return on assets  Interest Rate Risk  Debt ratios  Interest... cash flows from longerfund theprovisions maturity, the greater the  Sinking operations and its financial degree of price volatility  Guarantees by some other party  When interest rates rise,