CORPORATE FINANCE AND INVESTMENT CASE STUDY-2 Joey Moss, a recent finance graduate, has just begun his job with the investment firm of Covili and Wyatt. Paul Covili, one of the firm's founders, has been talking to Joey about the firm's investment portfolio As with any investment, Paul is concerned about the risk of the investment as well as the potential return. More specifically, because the company holds a diversified portfolio, Paul is concerned about the systematic risk of current and potential investments. One such position the company currently holds is stock in Colgate-Palmolive (CL). Colgate-Palmolive is the well-known manufacturer of consumer products under brand names such as Colgate, Palmolive, Softsoap, Irish Spring, Ajax, and others Covili and Wyatt currently uses a commercial data vendor for information about its positions. Because of this, Paul is unsure exactly how the numbers provided are calculated. The data provider considers its methods proprietary, and it will not disclose how stock botas and other information are calculated. Paul is uncomfortable with not knowing exactly how these numbers are being computed and also believes that it could be less expensive to calculate the necessary statistics in-house. To explore this question, Paul has asked Joey to do the following assignments. QUESTIONS Go to finance.yahoo.com and download the ending monthly stock prices for Colgate-Palmolive for the last 60 months. Use the adjusted closing price, which adjusts for dividend payments and stock splits. Next, download the ending value of the S&P 500 Index over the same period. For the historical risk-free rate, go to the St Louis Federal Reserve website (www.stlouisfed.org) and find the three-month Treasury bill secondary market rate. Download this file. What are the monthly returns, average monthly returns, and standard deviations for Colgate-Palmolive stock, the three month Treasury bill, and the S&P 500 for this period? + Beta is often estimated by linear regression. A model commonly used is called the market model, which is R-R.-4+BIR.. - R.]+5 In this regression. R, is the return on the stock and R. is the risk-free rate for the same period. R is the return on a stock market index, such as the S&P 500 index, q, is the regression intercept: B is the slope and the stock's estimated beta); and represents the residuals for the regression. What do you think is the motivation for this particular regression? The intercept., is often called Jensens alpha. What does it measure? If an asset has a positive Jensen's alpha, where would it plot with respect to the SML? What is the financial interpretation of the residuals in the regression