32 resultados para Reproductive Strategy


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The strategy process is a method for strategy formulation and implementation. The strategy process is commonly used especially within bigger companies. It is important to link the strategy formulation and implementation. The objective of this thesis has been to find out improvement areas for the case company’s strategy process. The theoretical framework based on literature emphasizes on strategy process as a method for strategy formulation and implementation. The theoretical framework, several mainly ad hoc interviews and author’s observation were used as tools to analyze the case company’s strategy process. The hierarchy in between the various corporate levels provides the foundation to formulate and implement the strategies. These strategies include the corporate and strategic business area level strategies. The recommendations to improve the case company’s strategy process were formulated at corporate and strategic business area levels. These recommendations were formulated based on research and experience gained throughout the work. The role of strategic projects to implement the strategies more efficiently and organizational control over distribution were found as potential improvement areas. The resource allocation prioritizing towards the most important strategic projects was also an important improvement area.

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The main objective of this study is to investigate whether the Finnish investors’ country-specific strategy concentrating on emerging markets provides diversification benefits. We also analyze whether the benefits of international diversification has been diminished after periods of high volatility caused by different market crisis. The objective is investigated with three methods: Correlation coefficients, rolling correlations added with OLS trend-lines and Box’s M statistic. All the empirical tests are analyzed and calculated with logarithmic returns of weekly time series data from Friday closing values between January 1995 and December 2007. The number of weekly observations is 678. The data type is total return indices of different countries. Data is collected from DataStream and provided by Datastream Financial. Countries investigated are Finland, Argentina, Brazil, Chile, China, India, Mexico, Poland, Russia, South Africa, South Korea, Thailand and Turkey. The current data is quoted both in U.S. Dollars and local currencies. The empirical results of this thesis show that the correlation coefficients are time-varying across Finland and 12 emerging market countries. Although the correlations have risen from 1995 to 2007, there can be found sub-periods where the correlation has declined from earlier period. The results also indicate that a Finnish investor constructing a portfolio of emerging market countries cannot rely on the correlation coefficients estimated from historical data because of the instability of correlation matrices.