Forecasting stock market returns is an interesting topic since more and more Swedes enter and invest in this market. Theory implies, however, that such exercises should be impossible. The aim of this thesis is to investigate the possibility to forecast future stock returns by looking at macroeconomic variables? history. The study is limited to the Swedish market as it is based on the OMXS30-index which represents the 30 most exchanged stocks on Stockholms¬börsen, the Swedish stock exchange.

The society today, reflects a high welfare, where the human being has a better financial position than before. This has generate that more money is spend on pleasure and events. A result of that can be the development of a new line of business; The industry of experience.This kind of branch is fast growing in the Swedish labour market. The characteristics of this branch are, depending of trends, continuous variations and integrated education.A new phenomenon within this branch is ?Centre of experience?.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

Strong relationships are something that is really important for companies to succeed with, in purpose to increase and protect their market shares. After major research on the subject, it has been found that variables like exchange of relationship, trust, control mutability, satisfaction and commitment are important in the establishment of measuring a relationship. The purpose with this thesis was to: increase the knowledge on how companies measure, and then consequently evaluate, their relationships. To answer the purpose of the study we chose to do a case study at Stadium AB, which is a retailing concern with a high level of customer contact on a daily basis. The conclusion is that trust most likely is the key variable in measuring relationships.

Our social lives and where we live shape our choices in life. One of those choices is which party we vote for in the general election. The aim of this thesis is to see if there are any connections between the Swedish general election of 2010, demography, socioeconomic factors and geography. This is done with regression analysis and chosen variables. Another aim is to see where in Sweden the chosen variables aren?t enough to explain the results of the election.

This thesis gives an introduction to securitization in general and the tranching of collateralized debt obligations in particular. It does this by using a firm-value model to simulate the underlying portfolio via monte-carlo simulations.The simulations in turn give a loss-distribution from which the various tranchings of the CDO?s are derived. To get an understanding of the influence of different variables involved in the tranching the simulations are repeated several times where the portfolio variables are changed to generate different tranchings. This to give a understanding of the influence different variables have on the tranching and consequently risks involved in CDO?s in particular but also general risks and problems of securitizations..

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

Increasing volatility and less political intervention from the CAP in the market price of wheat is making it more difficult than in the past for Swedish farmers to determine the price at which they should sell their wheat. In the past, the Swedish farmer-owned company Lantmännen has traditionally set a guideline price for Swedish wheat every year to which farmers could adapt, but ceased doing so last year. Therefore this study sought to identify the parameters on which the price of wheat is dependent on by using a reduced form model. The perspective adopted was that of farmers. The model proved able to identify the main factors determining the annual price fluctuations in wheat, with all variables included having an impact on the wheat price, except export quantity in the previous year.

In this essay i argue that there are three different variables that may be able to control the outcome of certain foreign policy choices. These three variables are External Threats, government division and public opinion. The Essay also tries to identify former president Bush motives behind the 2003 Iraqi War. It is partly argued that the three variables had a certain amount of influence on Bush decision making process. But the main focus lies on the motives behind the attack.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

The purpose of this thesis is to gain a holistic understanding of who are the consumers of fortified health food products; moreover to highlight what are the characteristics of the consumers who are likely to purchase these products. This thesis employed a quantitative strategy with an inductive and a grounded theory approach. The data was collected from a research company. Existing theories in the area of functional food were not possible to find. Considering that the area is new this seems plausible; however, previous studies provided insight for substantive framework.

We travel more to day than we have ever done before and there is an abundance of destinations to choose from. All -destinations have vantages and disadvantages and the things that are favourable for one traveller can be the opposite for another. So the questions are, why do we have different opinions about the same destination and what is it that makes us choose one destination before another?The purpose with this thesis is to investigate if the demographic factor age has an influence on the Swedish traveller?s opinion about winter destinations. The thesis also investigates if there is a link between the traveller?s demography and their opinion of a destination.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

Time Perspective is related to mental and physical health. This study examines the relationship between Time Perspective and perceived stress where Time Perspective was expected to predict the level of perceived stress. Past-negative, Future-negative, Future-positive and present-fatalistic were expected to be positively associated with perceived stress while Past-positive and present-hedonistic were expected to be negatively associated. Measures from the self-assessment forms S-ZTPI, PSQ-recent and CES-D from 445 participants (242 women, 203 men) between 60-90 years were used to examine the hypothesis of the study. Two hierarchical multiple regression analysis confirmed that Time Perspective is associated with perceived stress and in part 2 explains it's variance, one when adjusting for demographic data (.R = .37) and the 2 other when adjusting for demographic data and depressive symptoms (.R = .13).

Fewer and fewer people from the age of 60 and upward are still in the working life according to a working survey from Central Bureau of Statistics. Only one of twenty can consider retiring after an age of 65. According to another survey that National Insurance Administration put through year 2000, just about 40 % of the working population desires to finish working before an age of 65. This trend towards lower seceding age seems to continue. There are number of factors that seem for lower retirement age and others for a higher retirement age that we prove in our study.