Background: Investors have several options to choose from when the goal is to achieve the highest yield at the lowest cost and risk. Stocks are a common investment options, but is also associated with risks. Portfolios are usually constructed with several different assets to reduce the unsystematic risk of investment. Funds are similar to composite stock portfolios, the big difference is that they dealt with in their entirety and investors may not affect the fund's content. The problem remains that whether you choose stocks or mutual funds there is still uncertainty as to how the future will unfold.

The purpose of this essay is to illustrate how and why teachers in New Zealand use portfoliosas a part of their teaching. The purpose is also to investigate if, and in that case how, a sociocultural perspective on learning can be shown through the work with portfolios. Toinvestigate this we have made a case study in New Zealand where we interviewed sixteachers. The result of the investigation shows that our teachers use portfolios in both asummative and a formative way. In a summative way to gather what the children have done inschool, and in a formative way to help the students to assess what they have done, how theyhave done it and what they are going to do next.

Purpose: The purpose of this study is to examine whether hedge funds generate higher risk-adjusted returns than traditional managed funds in Sweden.Methodology: This study was based on quantitative data about the funds historical returns. The funds historical returns were taken from the database Morningstar and the risk-free rate from the Swedish central bank. Random samples of 36 funds have been divided into three portfolios in the form of a hedge fund portfolio, stock portfolio and mix fund portfolio.Result & Conclusion: The study concluded that the stock portfolio has shown the highest average yield for the study period where all portfolios below market index. Hedge fund portfolio has achieved the highest risk-adjusted return calculated by the portfolios Sharpe Ratio. Of all hedge strategies, arbitrage had the highest average return and risk-adjusted returns..

Background: Investors have several options to choose from when the goal is to achieve the highest yield at the lowest cost and risk. Stocks are a common investment options, but is also associated with risks. Portfolios are usually constructed with several different assets to reduce the unsystematic risk of investment. Funds are similar to composite stock portfolios, the big difference is that they dealt with in their entirety and investors may not affect the fund's content. The problem remains that whether you choose stocks or mutual funds there is still uncertainty as to how the future will unfold.

Background: Investors have several options to choose from when the goal is to achieve the highest yield at the lowest cost and risk. Stocks are a common investment options, but is also associated with risks. Portfolios are usually constructed with several different assets to reduce the unsystematic risk of investment. Funds are similar to composite stock portfolios, the big difference is that they dealt with in their entirety and investors may not affect the fund's content. The problem remains that whether you choose stocks or mutual funds there is still uncertainty as to how the future will unfold.

Randomness is a complex area of computer science, where only pseudo random numbers are possible to generate algorithmically.This report presents established algorithms for random number generation by conducting a basic study of relevant literature, while testing distribution and speed of the algorithms contained within the C++11 Random library. The results are compared to the algorithm XORShift and a modified version of it. The study shows that the modified algorithm passes all tests in Small Crush, andthat the run time is shorter than for those in the Random library. The conclusion is that it is possible to, with simple means, modify an algorithm to outperform the algorithms of the C++11 Random library..

Background: Investors have several options to choose from when the goal is to achieve the highest yield at the lowest cost and risk. Stocks are a common investment options, but is also associated with risks. Portfolios are usually constructed with several different assets to reduce the unsystematic risk of investment. Funds are similar to composite stock portfolios, the big difference is that they dealt with in their entirety and investors may not affect the fund's content. The problem remains that whether you choose stocks or mutual funds there is still uncertainty as to how the future will unfold.

Background: Investors have several options to choose from when the goal is to achieve the highest yield at the lowest cost and risk. Stocks are a common investment options, but is also associated with risks. Portfolios are usually constructed with several different assets to reduce the unsystematic risk of investment. Funds are similar to composite stock portfolios, the big difference is that they dealt with in their entirety and investors may not affect the fund's content. The problem remains that whether you choose stocks or mutual funds there is still uncertainty as to how the future will unfold.

Intention: The purpose of this thesis is to see if an active investment decision in the Swedish Premium Pension System would result in a higher return than a non-active investment decision. A non-active investment decision is equivalent to leaving the money in AP7 Premium Savings Fund.Method: This thesis is a statistical analysis and has a descriptive character in which the calculations are based on secondary data, thus the thesis has a quantitative character. Furthermore three active portfolios in different risk categories have been chosen. These portfolios are compared with the AP7 Premium Savings Fund?s returns.

Title: Overreaction on the Swedish stock market Seminar date:2008-01-30 Course:Nek K01- Bachelor Thesis in Economics (15 ETCS) Authors: Advisor:Oskar Herbe and Ludvig Persson Hossein Asgharian Key Words:Overreaction, Anomalies, Market Efficiency, Contrarian investment strategies Purpose:The purpose of this thesis is to test if the overreaction hypothesis as originally described by De Bondt and Thaler is a good explanation model for the Swedish stock market. Further, our intension is to divide the stock market into three segments by company size, in terms of market capitalization, to control for size effects. Method:We have conducted this study by analyzing Swedish stock data in the period of 1989-2007. Within this time span, using overlapping formation periods, we have constructed two types of portfolios, winner portfolios and looser portfolios. The portfolios represent the 30 per cent best performing respectively worst performing stocks in terms of returns.

With this paper we intend to investigate what kind of benefits there are by adding commodity futures to a well-diversified portfolio. Since the last fifteen years the commodity speculation has grown tremendously, which partially can be explained by that commodities exposes the investor to certain factors other than an investment in equities. According to our calculations the commodity futures have outperformed stocks during our research period, which partially could be explained by the increasing demand of physical commodities in developing countries e.g. India & China (Akey, 2005). By constructing different portfolios consisting of equities and corporate bonds we could investigate whether our portfolios will benefit from commodity futures and how this will vary over different levels of risk.

This study compares the sample variance of the mean in a simple random sample (SRS) and a systematic sample from a surface. The study also compares the prediction error variance in a SRS and systematic sample from a random field. Recommendations are presented on which method to use in the clearance and exemption process in the nuclear industry. The results indicate that quadratic systematic sampling outperformed SRS in most instances and proved to be especially efficient in the presence of a long-ranged covariance function and high sampling intensity (i.e. short distances between observations).

Investors? use borrowing as a way to profit from leverage advantages in their portfolios.When investors borrow with their securities as safety for the loan and the value of thesecurities decrease the investor can get a portfolio with more credit than what is covered bythe value of the securities and risk huge losses. To what extent an investor is allowed toborrow with his portfolio as safety depends on the bank or broker and varies between theproviders. By studying available material and in addition to that making an empirical study Iattempt to find out the reason for the varying degrees of leverage possibilities between thebrokers and how the degree of maximum borrowing on the securities are decided. Thefindings show that decision of leverage degree on a security is made after first making aquantitative analysis of the stocks volatility and liquidity and thereafter make a qualitativeanalysis of the company.

Multi-brand portfolios are characterized by comprising many brands in the same product category. Companies that have chosen to organize their products according to this strategy are facing both possibilities, such as expanding the accessible market size, and challenges such as how to organize the brands, their individual roles and their relation and position to the other brands in the category to maximize revenues. To address these aspects of multi-brand portfolios, I have investigated four product categories where multiple brands are represented at Mölnlycke Health Care, Unilever, Fagerhult and L?Oréal; how the multi-brand portfolios are organized, how the segmentation, positioning and product differentiation are done and what advantages and disadvantages that are associated with this strategy. My conclusions are that multi-brand portfolios can be organized in many different ways and to become successful, they have to be set in relation to the company?s whole brand architecture.

In light of the current debate on gender equality and behavioral finance, the study aims to describe whether gender differences in financial stock picking can be explained by the different multiples found within the Value Investing Theory. Furthermore, the study aims to determine which of the four portfolios, value, growth, male or female, that has had the strongest return. The results suggest that there is an association between female and value stocks as well as between male and growth stocks. Out of the four portfolios, the value and female portfolio were on average the best performers with abnormal returns..