The purpose of this essay is to evaluate stock index bonds return to risk ratio in order to investigate to which degree an investor in a stock index bond take part of the underlying index return and what the investor must pay for the security of not losing his funds. In order to carry out this evaluation an average return per year and the Sharpe ratio will be calculated and a mean- standard deviation analysis will be made. All investigated stock index bonds are based on a Swedish underlying asset.The results show that the stock index bonds haven?t generated a higher risk adjusted return than its underlying asset. The stock index bonds took part of 57 % of the underlying assets return, and the loss of 10 percentage points per year for the stock index bonds compared to its underlying asset can be seen as the cost for the guarantee a stock index bond gives..

Previous work by researchers as Eugene F. Fama and Kenneth R. French, show that average return on stocks are related to a firms characteristics like size and book-to-market ratio. These kinds of patterns in average return is not explained by The Capital Asset Pricing Model (CAPM), and are therefore seen as anomalies. Fama and French have proposed a three-factor model, which captures patterns observed in U.S average returns associated with size and value.

Purpose: The purpose of the study is to in a comparative and causal way explore whether there is a relationship between risk and return and also how it is perceived on the Nordic financial markets.Theory: The theoretical frame of reference applied in the thesis is considered relevant inthe perspective of the study?s purpose and research questions. We have among other theories used The Capital Asset Pricing Model, The Efficient Market Hypothesis and various Behavioural finance theories.Method: The study has its starting point in a quantitative approach with a quantitative data analysis supported by secondary data extracted from Thomson Reuters.Empirics: The empirics contains regression analyses made from calculated secondary data of 240 randomly chosen companies from Nasdaq OMX Stockholm, NasdaqOMX Copenhagen, Nasdaq OMX Helsinki and Oslo Bors.Conclusion: The study conclusions show that there are both a negative and positive relationship between volatility and actual return on the investigated markets. Considering this prior statement we can conclude that the Capital Asset Pricing Model can?t correctly describe the actual relationship between the parameters investigated on the current sample.

Background: Operating on the stock market is associated with risks. If a particular asset is not traded with the same frequency as the average market asset, this particular asset is exposed to a liquidity risk. It means that the investor might not be able to sell the asset at a desired time without incurring expensive transaction costs. The query is whether or not the investor is compensated with a liquidity premium for bearing the extra risk. Earlier studies on the Stockholm Stock Exchange have failed to prove that there is a relation between stock return and liquidity.

Asset management in insurance companies differs from conventional asset management to the extent that respect has to be taken to both assets and the commitments the insurance company has towards its customers. A model that has proven to fit well regarding the matching of assets and liabilities is the Asset Liability Management Model (ALM model). In addition to the matching in the balance sheet, the ALM model can be used in a company's work with strategic portfolio allocation by applying it as a basis for analyzing investment strategies with expected risk and return. From this, the ALM model also becomes relevant for calculating key figures according to the legal framework Solvens II which includes laws and regulations regarding the demands on economical strength (solvens) of insurance companies.Hence, the goal of this masters thesis has been to, on behalf of Bliwa Livförsäkring, create an ALM model to support the asset management department of Bliwa in their work with defining a credible way of analyzing the future risk and return of Bliwa's asset portfolio and insurance undertakings.The ALM model generally consist of four submodels, the scenario model, the liability model, the asset model and the company model, where the scenario model often is named as the core of the ALM model. The course of action has been to develop these submodels individually, with focus on the scenario model.

An efficient market implies that the use of fundamental analysis should not result in excess return, and that any return exceeding the market average can be explained by compensation for risk, accord-ing to The Capital Asset Pricing Model (CAPM). The focus of this study is to test whether the suc-cessful investment strategy developed by Piotroski (2000) generates excess return on American data, after risk adjustment by using Fama & French?s (1993) 3-factor and Carhart?s (1997) 4-factor CAPM. Initially we form stock portfolios based on companies characterized by high book-to-market values, additionally, we divide them into different performance classes by ranking them with Piotroski?s (2000) measure of financial performance, F_SCORE.

Background: Since the early 60?s, the CAPM or Capital Asset Pricing Model, has been an invaluable tool for assessing an asset's expected return, assuming that the asset is added to an already well-diversified portfolio of assets. CAPM theory assume that the unsystematic risk can be diversified and that the systematic, market-specific, risk is determined by the Beta value, from the Greek ?. An investor who takes big risks expect higher returns.One of the CAPM?s basic assumptions is that disruption in the market is not taken into account.

The purpose of this paper is to investigate if a dynamic investment strategy on the Swedish asset market can accomplish better returns then a static investment strategy. The dynamic investment strategy is created by incorporating business cycle predictors and firm-level variables to predict future stock returns. The predictive regression is calculated wih 60 months of observation (1999 01-2005 12) and is then used to estimate future returns for 23 months in the period 2004 01 -2005 11. The structure of the regression, with linear functions of ? and ?, goes back to Shanken (1990) and Avramov and Chordia (2005) has had success with the variables chosen.

Purpose: The study examines the risk a rising from the acquisition of shares, and its relation to the expected return. We would like to see how a high-risk portfolio is related to a low-risk portfolio. Although studying the portfolios annual performance.Theory: The theories that have been used in the study are, Capital asset pricing model, CAPM and portfolio theory.Method: The study is based on a quantitative method, the time interval is from 2008 to 2010.The annual reports, historical stock prices for companies and the index are used to perform calculations based on the essay theories.Conclusion: The beta value has positive liner correlation with the expected return. When there are bad times in the world, the companies are negatively affected regardless of industry. The Portfolios developed in the same direction during the time period..

Scania?s discount rate - the return requirement of investments - refers to Scania?s WACC or weighted average cost of capital. The capital markets return requirement on equity and the credit market interest cost of borrowing is weighted to become the single discount rate, the WACC. The purpose of this study is to investigate which asset pricing model of APT and CAPM Scania should use in their WACC calculations. The company now uses a group WACC of 11 percent which is used in all company levels.

By using univariate analysis, tobit and logit regressions, this thesis investigates determinants of asset writedowns. After controlling for variables indicating reductions in asset values, the results show that changes in senior management are significant in explaining the writedown decision and magnitude, which is in line with previous research. The explanatory power of changes in senior management has not increased with the transition to IFRS in 2005. No evidence is found supporting the hypothesis that the explanatory power of management incentives is higher for more discretionary types of asset writedowns..

In latter years there has been a discussion about the increasing importance of intangible assets and how to incorporate this fact into strategies, accounting and valuation. The ?Internet-bubble? is a recent event that drew much attention to intangible assets, and was an indicator of how complex it can be to value assets in general and intangible information in particular. Legislators recently addressed this issue by introducing IFRS3, which led to an update of IAS38, which in turn revised the methods for handling intangible assets. A specific intangible asset that has caused much debate is research and development (R&D), since it is commonly not allowed to be realized as an asset, which could cause implications concerning analysis and valuation.

Purpose: The study examines the risk a rising from the acquisition of shares, and its relation to the expected return. We would like to see how a high-risk portfolio is related to a low-risk portfolio. Although studying the portfolios annual performance.Theory: The theories that have been used in the study are, Capital asset pricing model, CAPM and portfolio theory.Method: The study is based on a quantitative method, the time interval is from 2008 to 2010.The annual reports, historical stock prices for companies and the index are used to perform calculations based on the essay theories.Conclusion: The beta value has positive liner correlation with the expected return. When there are bad times in the world, the companies are negatively affected regardless of industry. The Portfolios developed in the same direction during the time period..

Purpose: The study examines the risk a rising from the acquisition of shares, and its relation to the expected return. We would like to see how a high-risk portfolio is related to a low-risk portfolio. Although studying the portfolios annual performance.Theory: The theories that have been used in the study are, Capital asset pricing model, CAPM and portfolio theory.Method: The study is based on a quantitative method, the time interval is from 2008 to 2010.The annual reports, historical stock prices for companies and the index are used to perform calculations based on the essay theories.Conclusion: The beta value has positive liner correlation with the expected return. When there are bad times in the world, the companies are negatively affected regardless of industry. The Portfolios developed in the same direction during the time period..

This thesis examines underpricing and the long run performance of IPO firms on the Swedish equity market during 1994-2010. We further investigate whether any correlation exist between underpricing and post-IPO performance during 36 months. We use a sample of 80 IPO firms. To examine the aftermarket performance we compare total return of each firm with a matching industry index. In order to strengthen our analysis, we run a second test, comparing actual return for each firm with expected return, adjusted for firm specific risk.