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Analysis of Auto Parts Industry/ Usa /Deviations, Betas and Correlations /

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Analysis of Auto Parts Industry/ Usa /Deviations, Betas and Correlations /
HOME ASSIGNMENT

Analysis of Auto Parts Industry/ USA
/deviations, betas and correlations/

Module: Financial Markets

Module leader: Prof. György Komáromi

Written by László Földvári

Industry Analysis

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 correlations for two one-year periods: before and after the fall of Lehman Brothers. Hopefully we can have a broader picture how the financial measure were affected by the financial crisis and WHY? As we all know obviously autoparts is industry seriously depends from Automoblie industry.

Key Players are:

In North America, the automobile production market is dominated by what 's known as the Big Three:

General Motors - Produces Chevrolet, Pontiac, Buick and Cadillac, among others.

Chrysler - Chrysler, Jeep and Dodge.

Ford Motor Co - Ford, Lincoln and Volvo.

Two of the largest foreign car manufacturers are:

Toyota Motor Co

Honda Motor Co

Let me emphasize a relevant feature of this industry and studied fact of economy and business cycle, whch can be a correct answer for the changes of stocks. ( Bodie, Essentials of Investment) „ As the economy passes through different stages of the business cycle ( like a recession, or financial crisis), the relative profitability of different industry groups might be expected to vary. For example, at a trough, just before the economy begins to recover from recession, one would expect that cyclical industries, those with above-average sensitivity

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