3 resultados para correlation coefficient analysis

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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The aim of this thesis was to clarify willingness and suitability for entrepreneurship among students of Lappeenranta University of Technology (LUT). In addition factors that would explain academic achievement and if there were relationship between academic achievement and willingness or suitability for entrepreneurship were examined. Questionnaires were sent via e-mail to 800 students of LUT in summer 2007. Response percent was 29,6 %. Based on the collected answers factors of entrepreneurial motivation and academic achievement were analyzed using mainly Pearson’s correlation coefficient and factor analysis. In the light of these factors willingness and suitability for entrepreneurship and academic achievement were examined. The results indicated that 36,7 % of the respondents were willing and 11,4 % were suitable for entrepreneurship. The largest share of the willing ones was focused on Department of Mechanical Engineering, whereas the smallest share on Department of Environmental Technology. The largest shares of the suitable ones were on Departments of Mechanical and Electrical Engineering, and the smallest shares on Departments of Environmental, Chemical and Energy Technology. Academic achievement was affected by, among others, exercising and success in high school. Academic achievement and willingness or suitability for entrepreneurship didn’t correlate. Yet, from factors of entrepreneurial motivation internal locus of control correlated positively with academic achievement.

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The purpose of this academic economic geographical dissertation is to study and describe how competitiveness in the Finnish paper industry has developed during 2001–2008. During these years, the Finnish paper industry has faced economically challenging times. This dissertation attempts to fill the existing gap between theoretical and empirical discussions concerning economic geographical issues in the paper industry. The main research questions are: How have the supply chain costs and margins developed during 2001–2008? How do sales prices, transportation, and fixed and variable costs correlate with gross margins in a spatial context? The research object for this case study is a typical large Finnish paper mill that exports over 90 % of its production. The economic longitudinal research data were obtained from the case mill’s controlled economic system and, correlation (R2) analysis was used as the main research method. The time series data cover monthly economic and manufacturing observations from the mill from 2001 to 2008. The study reveals the development of prices, costs and transportation in the case mill, and it shows how economic variables correlate with the paper mills’ gross margins in various markets in Europe. The research methods of economic geography offer perspectives that pay attention to the spatial (market) heterogeneity. This type of research has been quite scarce in the research tradition of Finnish economic geography and supply chain management. This case study gives new insight into the research tradition of Finnish economic geography and supply chain management and its applications. As a concrete empirical result, this dissertation states that the competitive advantages of the Finnish paper industry were significantly weakened during 2001–2008 by low paper prices, costly manufacturing and expensive transportation. Statistical analysis expose that, in several important markets, transport costs lower gross margins as much as decreasing paper prices, which was a new finding. Paper companies should continuously pay attention to lowering manufacturing and transporting costs to achieve more profitable economic performance. The location of a mill being far from markets clearly has an economic impact on paper manufacturing, as paper demand is decreasing and oversupply is pressuring paper prices down. Therefore, market and economic forecasting in the paper industry is advantageous at the country and product levels while simultaneously taking into account the economic geographically specific dimensions.

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Various researches in the field of econophysics has shown that fluid flow have analogous phenomena in financial market behavior, the typical parallelism being delivered between energy in fluids and information on markets. However, the geometry of the manifold on which market dynamics act out their dynamics (corporate space) is not yet known. In this thesis, utilizing a Seven year time series of prices of stocks used to compute S&P500 index on the New York Stock Exchange, we have created local chart to the corporate space with the goal of finding standing waves and other soliton like patterns in the behavior of stock price deviations from the S&P500 index. By first calculating the correlation matrix of normalized stock price deviations from the S&P500 index, we have performed a local singular value decomposition over a set of four different time windows as guides to the nature of patterns that may emerge. I turns out that in almost all cases, each singular vector is essentially determined by relatively small set of companies with big positive or negative weights on that singular vector. Over particular time windows, sometimes these weights are strongly correlated with at least one industrial sector and certain sectors are more prone to fast dynamics whereas others have longer standing waves.