A Brief Note On Dow Chemical And Industry

General Motors and Ford Motor Company are one of the top two companies in the motor industry every year. But with every great company it will have it’s ups and downs and with the ratios we have for both companies it will be easier to explain the performance of both companies in depth. The price ratio helps us better understand the future outlook of a company’s stock. And with the Beta it helps us measure the risk of the stock in the company. With both companies there PE ratio fall to the industry average means that they are expected to have a rise in their stock in the future which isn’t necessarily a bad thing. The Beta for the industry average is around 1.41 and if your company has more than that it would be considered a higher risk but with a higher reward, vice versa if your number is lower it has lower risk with little reward. The Beta for GM was 1.42 which means that investing in this company would be more of a risk but in the end it could come with a greater reward. Then with Ford their Beta lies below the line which means their company is low risk low reward. So when picking a company off of this data one would choose GM most likely due to high risk high reward.

I have choosen five companies from the Capital Goods sector / Autoparts Industry/ Nasdaq. The industry analysis is the essence and first step of getting a clearer view of the market players. We have to know the most important macroeconomical circumstances of industry as well. In the following pages I am going to analyze the industry, the choosen stocks and the brother industries. I will try to find explanations for the changes caused by the financial crisis with the help of calculated sigmas, betas and pair-wise

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.

Since the company is newly listed in stock market, no sufficient historical data for the calculation of beta, so we selected the comparable companies Charles Schwab Corp (Discount Brokerage), Quick & Reilly Group (Discount Brokerage) and Waterhouse Investor Srvcs (Discount Brokerage). Because the operating business scope and the brokerage revenue percentage to total revenue for these companies are similar to the Ameritrade, we just use these companies’ historical data for the calculation of Ameritrade’s beta. *Note: Although E*Trade (Discount Brokerage) has the similar business scope with the Ameritrade, we excluded this company since the company strategy is not to be a discount brokerage.

This paper tends to evaluate the various strategies used in stock markets by different companies in order to regain market strength and to secure more4 reliable returns to the companies. This paper highlights about two major companies in the stock market, the AAPL and GOOGL company. The two companies use the same strategies in the operations of their stick markets and hence they can be easily analyzed together and compared in regard to their mode of operation and their success.

In the beginning of this investment period (9-9-2015), the igorpinto5 portfolio was properly distributed among 5 sectors: Services: Starbucks Corporation (30%), Banks: Goldman Sachs Group Inc. (28%), Industrials: JBS SA (23%), Technology: Amazon.com, Inc. (10%), and Homebuilding: D.R. Horton, Inc. (9%). The Igorpinto5 stock fund had close to no variation when compared to the market (9/15 until 11/13). Despite high volatility in the stock market in the period, the beta of the last four months of Igorpinto5 fund in relation to the S&P500 was 0.97. On 11/13/2015, the beta of Igorpinto5 represented

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.

The common stock value increased 54.8%, from $42/share to $65/share, between 2000 and 2001. This is an indicate that the market likes what it sees in the performance and the management of Sample Company. In addition, it paid 1.2% in dividends for the past two years. Another key indicator, the Price to Earnings Ratio, fell from 12.0 to 10.7. This is not enough to be alarming. In fact, some investors, myself included, feel that lower Price to Earnings Ratios are not necessarily a good thing. The reason being that if a company is struggling to pay out large earnings per share, to make the denominator in the P/E equation large enough to keep the P/E ratio low, then often such financial pressures can take the attention of the management away from the company's operations and other important issues, like surviving as a going concern in a tough business climate.

transactions took place, the firm would be focused exclusively on the beverage alcohol industry. As

Since the late 1980’s the United States has observed several housing market bubbles and subsequent collapses (Calabria 2011, p. 552). Also, the country has also observed a profound increase in the trading of technologies stock (Sabherwal, Sarkar, and Zhang, 2011, p. 1210). In addition, the development of day-trading has taken control of nearly half of the stock trading industry (Chou, Wang, and Wang, 2014, p. 403). As a result, the traditional methods of company-share value evaluation no longer provide an accurate estimate of company value (Rosenblatt and Gawronski, 2004, p. 118). The introduction of twenty-first century technologies and stock trading opportunities have created an increasingly volatile stock market due to the usage of the internet for day-trading.

In this empirical project I will try to explain the relationship between the oil prices, gold prices and stock market in the United State using yearly time series data. Since the gold and oil prices are raising their influence on stock market is also increasing and we will see how fluctuations in oil prices and gold prices impact the stock market in the United States. So here oil prices and gold prices will be our explanatory variable and stock market index will be our explained variable. In this study we will use multiple regression analysis to explain the relationship.

Regression Analysis is numerical process of determining relationship within different variable. It helps to provide analyzing about outcome of independent variable on dependent variable. The data we use for prediction are dependent by the performance of Regression Analysis. This report is determined if the past data could be used to predict the future change in share price. In this report we used data of share prices of URBN Outfitters Inc. to figure out the future value of shares with Regression Analysis method. Future change will be used as dependent variable on Y axis and other values as independent variables on x axis. According to Regression Analysis we have figured out that the past values are useful to find out the future change in share prices.

Over the past two decades, the global market is quite dynamic experiencing 1997 Asian financial crisis, 2008 global financial crisis, and 2010s European debt crisis. Especially the financial crisis during 2007 to 2008, the U.S. stock market peaked in October 2007 and then entered a pronounced decline, which accelerated markedly in October 2008. By March 2009, the Dow Jones average had reached a trough of around 6,600 (Bloomberg, 2015). It is expected that because financial crisis made the stock environment fluctuated, stock returns might have

According to IAG the current beta is 0.85 which is less than 1.00 which indicates the security will be less volatile than the market .As the market return of IAG Company is 10% and beta being 0.85 there is result likely to gain 8.5% market return for low beta issue. Whereas for company named AA having a beta more than 1.00 there is result likely to have loss of 10% for high beta issue.

When Petroquímica Bahia Blanca S.A. (PBB) began the process of becoming privatized by the Argentine government, Dow Chemicals saw the acquisition of this company as a golden opportunity to become the leading polyethylene player in Latin America. Dow Chemical’s was already a major player in the chemicals (ethylene), plastics (polyethylene), and agricultural products industries holding position as a low-cost producer. Breaking each segment of their business down into these categories respectively, Dow Chemicals was able to generate annual revenues of 20.2 billion making them the leader in market position worldwide for some chemical product lines accounting for 7% of global capacity. Dow embraced a strategy