Lappeenrannan teknillisen yliopiston opiskelijoiden yrittäjyyshalukkuus, yrittäjyyssopivuus ja opintomenestys

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.

Static waves in corporate space : characterizing oscillating trading patterns in New York stock exchange

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.