A Brief Note On Dow Chemical And Industry

Fama and French’s three factor model attempts to explain the variation of stock prices through a multifactor model that includes a size factor and BE/ME factor in addition to the beta risk factor. Fama-French model essentially extended the CAPM (which breaks up cause of variation of stock price into systematic risk which is non-diversifiable and idiosyncratic risk which is diversifiable) by introducing these two additional factors. Fama and French find that stocks with high beta didn’t have consistently higher returns than stocks with low beta and this indicates that beta was not a useful measure under their model. Their model is based on research findings that sensitivity of movements of the size and BE/ME factor constituted risk, and

The table below shows the equity betas for the firms presented in the case (using Jan-92 to Dec-96 equal weight NYSE/AMEX/NASDAQ as market portfolio):

Here we choose VW NYSE, AMEX, and NASDAQ data as market returns, because it’s value weighted and more reliable. The results show CSC’s equity beta = 2.27, QRG’s equity beta = 1.79.

Beta is the slope of the characteristic line. As shown in appendix1, we use the monthly historical data from April 2003 to April 2008 to graph SCL. We use S&P 500 as the market because it contains the stocks of 500 Large-Cap corporations and can reflect the market change broadly. As shown in exhibit 1, we can get the SCL: Ri-Rf = - 0.001 + 0.1649(Rm - Rf). So the beta is 0.1649 and the alpha (intercept) is -0.001. From the regression line, we find the R square is only 0.103. It reflects the degree that X variable explains Y variable is 10.3%. That is, Ri-Rf has no close relationship with Rm-Rf. In addition, due to the fact that beta is only 0.1649, it also provides the same result which Ri-Rf and Rm-Rf have no strong positive relationship. It is a good issue to consider why Wal-Mart stock return does not relate with S&P 500 return very well. From exhibit 2, we find the Wal-Mart price did not change very much while S&P 500 price went up. The major reasons may be that S&P 500 includes many high-tech stocks and those stocks performed very well during the period; therefore the volatility is greater than Wal-Mart. Moreover, maybe Wal-Mart has lower weight in S&P 500 so its trend of price change is different from S&P 500. From exhibit2, we also find Wal-Mart had good relationship with S&P 500 before 2004. To examine the situation, we use the data from 1998 to 2003 and find the SCL

Production line workers are the employees who are usually doing their work by hand or in this day and age, running the machine or equipment to make the products. In this particular case, Canada Chemicals Corporation utilizes their production employees by producing industrial chemicals. These production worker’s jobs are a lot more complete then other production level workers employees as they usually have plenty of skill, knowledge and experience, and have high educational background. In order to reverse recent challenges with production and sales, I have composed a compensation package for these employees that will motivate them intrinsically, and focus on rewards that are extrinsic.

* Stock Beta: Exhibit 5 shows a detailed measurement of the company’s stock returns in relation to the rest of the market through 5-year historical price and index data. The analysis includes monthly returns of both the NYSE and the S&P 500 index in order to capture a comprehensive view of the market return. In each comparison, the monthly returns of the Target stock and market are plotted on Y-axis and X-axis respectively to get the regression line’s slope or beta. The analysis arrives at an average beta of 0.988 which indicates a similar movement of Target stock’s returns in comparison to the whole market over time.

The regression that we performed in excel for both stocks yielded a beta of .73576 for Reynolds, and a beta of 1.4198 for Hasbro. In question 2 we learned that although Reynolds stock was riskier independently, adding it to the portfolio made it more diversified compared to adding Hasbro, due to the fact that it was less correlated to the market portfolio. Beta is a measure of the volatility, or systematic risk, of a security or a portfolio in comparison to the market as a whole. Therefore, since the beta of Reynolds is lower than Hasbro, our beta calculations align with the fact that Reynolds stock makes the overall portfolio less risky. This finding is also intuitive when considering the nature of the companies; Reynolds is a Tobacco company meaning that is should be less sensitive to changes in market conditions than a toy company like Hasbro.

The latter has further been exacerbated by a lack of incentives for Metro branches, the main sales and marketing agents for the product, to sell Due Bills.

We use the equation ri=(Pt-Pt-1+Dt)/Pt-1 to calculate the monthly return of stock of Charles Schwab Corp, Quick & Reilly Group and Waterhouse Investor Srvcs. Then we have two methods to calculate the Beta of Equity for each company.

Of these 6 comparable companies, 3 of them are kitchen and bath companies and the rest 3 deals with engines and generators. Hence an average of the asset beta has been taken for these two sub groups which represent different business segments. Finally to arrive at the asset beta which would reflect the riskiness/volatility of Kohler, weighted average of these two betas has been taken as provided in the calculations below:

the bidding price on Petroquímica Bahia Blanca S.A. (PBB), which was being privatized by the

By using the company return and the Value Weighted Returns of the Market, we derived the companies’ levered equity betas and then unlevered them.

In this case α=0.482421 which reflects that the performance of this portfolio has outperformance against the market portfolio. But the market portfolio should perform better than any others portfolio if the market is efficiency. Further, α has a 2.70807 t-stat which is larger than 1.96 that suggests the intercept is significant at the 5% significant level. Moreover, the p-value of the intercept is 0.00692 which is less than the 5% significant level therefore α is significant.

Polyethylene is the world’s most widely used plastic. Polyethylene plastic’s principal application was in packaging, from trash bags to milk jugs. It was widely used in the manufacture of everything from trash bags, picnic cutlery and garbage pails, to plastic toys. Polyethylene also replaced glass, wood, and metal in certain applications.

DOW Chemicals is a well-known multinational chemical corporation as a matter of fact it is the second largest chemical company (after BASF) in the world. It was established in the year 1897 by a chemist called Herbert Henry Bow. Bow had only one thing in mind when he went about creating his company and it was to innovate. Throughout the 117 years DOW has been around they had learned and improved on their standing strategies and ideals, which in effect led them to where they are today and has allowed them to grow and solve problematic challenges through science. Over the years DOW has spread their interests into other sectors, one of which is investment and sale of trade accounts receivable in exchange for cash and interest to commercial paper conduit entities also knows as conduits. Transfers of Financial Assets has become a noticeable part of DOW’s financials therefore making sure that the purchase and sale of their trade accounts receivables are done correctly is a very important task.