The Impact Of Capex And Working Capital

2. Beta for mercury is calculated by comparison with the companies having similar debt/equity ratio (25%). This beta is used in the calculation of cost of equity afterwards. The equity beta comes out to be 1.12.

We are interested in obtaining the asset beta for Collinsville investment. Here from the reading material, we find there were altogether 6 chemical companies that produce sodium chlorates. They are Hooker, Pennwalt, American, Kerr-McGee, Brunswick and Southern. However, since we are evaluating the addition of a sodium chlorate plant, the two firms (Brunswick and Southern) who specialize in producing sodium chlorate are likely the best “twins”. To determine the asset betas of each company, we

After levering the equity beta, the asset beta of the firms are calculated. As mentioned we think that the three discount brokerages (highlighted in green) should be used as comparables for Ameritrade. The average asset beta of the three firms is 1.386. As a comparison the investment services firms have average asset beta of 0.603 and the one internet company (Mecklermedia) for which enough historical data is

The income over the last three years has been fluctuating.. This tells us the company has an initial growth period. Sales also drop between years 7 and 8 and the gross profit margin decreased as well. This may be due to operating expenses. This leads to the prospect of stable future sales. The stakeholders are continuing to back the company and the company does predict sales will remain stable. The modest increase in sales does not show enough to recover without making adjustments to free capital.

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.

A correct response requires that you find an appropriate industry beta and measure for levered/unlevered betas and requires that you define cost of equity capital and free cash flow (FCF) – you may need a formula for FCF.

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

* 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.

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.

A common practice to determine the firm’s beta is to draw from historical data from published sources or compare numbers to competitors. In this case, Heinz can compare to Kraft, Campbell Soup and Del Monte and use professional judgement in determining the stock’s sensitivity to the market. A stock’s beta can be determined using a formula as well.

As Star River is a private company and has not issued stock, we need to make several assumptions when calculating market value of equity and price of equity. Analysis of similar companies reveals that Wintronics, Inc. and STOR-Max Corp. are the most similar firms in the market. To calculate Star River’s market value of equity I used market to book value method. I found M/B for Wintronics to be 4.4 (market price per share/book value per share) and 3.9 for STOR-Max. an average M/B ratio is 4.15, so multiplying Star River’s book value of equity of 47004 by 4.15 I found Star River’s market value of equity to be SGD195,066.6M. Average beta of these two companies is 1.615. The global equity market premium is 6%, and I use 10 year Singapore T-bond yield of 3.6% as my risk free rate.

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:

For this variable we take again the same risk free rate (4.66%) plus the equity market risk premium (5%) multiplied by the equity Beta of the E & P division (1.40). The beta we calculate with the comparables. The average equity beta in this industry is 1.15 and the average D/E ratio is 39.8%. With these information and the same formula as in question 3 we compute the asset beta

For estimation of betas, the above equation was run for the period from Jan, 2003 to Dec, 2006. Based on the estimated betas we have divided the sample of 63 stocks into 10 portfolios each comprising of 6 stocks except portfolio no.1, 5 and 10 having seven stocks each. The first portfolio 1 has the 7 lowest beta stocks and the last portfolio 10 has the 7 highest beta stocks. The rationale for forming portfolios is to reduce measurement error in the betas.

Our choices led to a constant increase in net income over the three years. Short term debt increase by approximately 100% percent but steadily reduced over the next three years. We were happy with the positive growth of the company and the fact that we were able to pay off most of the initial short term funding required by the increase in working capital requirement. Overall the current situation of the company in 2018 is good, although the total value created is less than 20% of that created in phase 1. From this we learned that the value of the firm can be significantly increased more through a reduction in working capital requirement than through increasing the firm’s sales and net income.