A valid and accurate capital asset pricing model (CAPM) may help investors and mutual funds managers in determining expected returns and thus, may increase profits which can be reflected on the community resources. The problem is that the traditional CAPM does not accurately predict the expected rate of return. A more accurate model is needed to help investors in determining the intrinsic price of the financial asset they want to sell or buy. The purpose of this study was to examine the validity of the single-factor CAPM and then develop and test the validity of a multifactor CAPM in the Jordanian stock market. The study was informed by the modern portfolio theory and specifically by the single-factor CAPM developed by Sharpe, Lintner, and Mossin. The research questions for the study examined the factors that may explain the variation in the expected rate of return on stocks in the Jordanian stock market and the relationship between the expected rate of return and factors of market return, company size, financial leverage, and operating leverage. A causal-comparative quantitative research design was employed to achieve the purpose of the study by testing the listed companies on the Amman stock exchange (ASE) for the period from 2000 to 2015. Data were collected from the ASE database and analyzed using the multiple regression model and t test. The results revealed that market return, company size, and financial leverage are not predictors of the expected rate of return while operating leverage is a predictor. The results of this study may contribute to positive social change by changing the way the individual investors and mutual funds managers select their investing portfolios which can lead to better resource distribution in the economy.

<p>Problem:   What are the most useful techniques to indicate the stocks that will outperform the market 12 month post the recession period?  Purpose:  The purpose is to find out which method(s): P/B, EV/EBIT, level of debt and so on, will offer investors the highest returns on the investments post the recession period based on the example of the IT crisis of 2000/2001.  Method:  Quantitative study, covering the Swedish OMX Index from 2001 until December 2002.  Conclusions:  Three variables should be reconsidered when making an investment decision post the recession period. These variables were earlier 12 months returns, dividend yield and P/E ratios. However, it is crucial to understand that these three tools should not be viewed all together.</p><p> </p>

<p>1.3. Research Questions.</p><p>With this in mind, the research questions of this work are:</p><p>1. Is the Capital Asset Pricing Model still applicable despite the heavy impact of the financial crisis on the financial systems?</p><p>2. What happens to this model when the risk free rate approaches zero?</p><p>3. Is there a relationship between the riskiness of an asset and the risk-free interestrate when the latter is approaching the zero level?</p>

This thesis contain three chapters. Default Risk in Corporate Bond Pricing. This chapter provides a model for how the corporate bond default risk influences the systematic risk and an empirical analysis of the systematic and idiosyncratic parts of U.S. corporate bond returns during 2001-2005. The average corporate bond beta is low and positive (0.06). Investment grade bonds have negative betas (between - 0.01 and -0.13) and non-investment grade bonds have positive betas (between 0.11 and 1.48), but both groups have similar within groups systematic risks. When controls for interest rate and liquidity risks are introduced there are still remaining default probabilities, implying that the default risk is in part systematic and in part idiosyncratic.   Returns to Defaulted Corporate Bonds.   In the second chapter short term excess returns in a sample of 279 defaulted US corporate bonds are tested for using multiple regression analysis. There are robust excess returns after controlling for market and liquidity risk. The expected recovery rate during 2001-2006 is estimated to be, on average, four percentage points lower the first month after default than the present value of the recovery rate after nine months. Capital Structure Choices.   The trade-off and pecking order theories are tested using both established tests from the literature and new tests. The main contributions of this chapter are the new tests of financing of operating net assets (for the pecking order theory), the mean reversion tests (for the trade-off theory) and the test of mean reversion and trends. These tests allow for extended conclusions on the validity of the pecking order versus the tradeoff theory. / <p>Diss. Stockholm : Handelshögskolan, 2008 Sammanfattning jämte 3 uppsatser</p>

1.3. Research Questions. With this in mind, the research questions of this work are: 1. Is the Capital Asset Pricing Model still applicable despite the heavy impact of the financial crisis on the financial systems? 2. What happens to this model when the risk free rate approaches zero? 3. Is there a relationship between the riskiness of an asset and the risk-free interestrate when the latter is approaching the zero level?

The aim of this thesis is to study the risk for two Swedish companies, Axfood and Volvo. To test the required return on equity, a bottom-up beta approach and a CAPM regression beta are used. This thesis concludes that the bottom-up beta gives a truer reflection and a more updated beta value than a CAPM regression beta on the firm’s current business mix, the CAPM beta takes only the past stock prices into consideration. The empirical results for Volvo conclude that the levered bottom-up beta is 1.09 and the CAPM β is 0.52 for Volvo. The empirical results for Axfood which is categorized as consumer goods sector implies that the levered bottom-up beta is 0.87 while the CAPM regression beta is 0.29.

Problem:   What are the most useful techniques to indicate the stocks that will outperform the market 12 month post the recession period?  Purpose:  The purpose is to find out which method(s): P/B, EV/EBIT, level of debt and so on, will offer investors the highest returns on the investments post the recession period based on the example of the IT crisis of 2000/2001.  Method:  Quantitative study, covering the Swedish OMX Index from 2001 until December 2002.  Conclusions:  Three variables should be reconsidered when making an investment decision post the recession period. These variables were earlier 12 months returns, dividend yield and P/E ratios. However, it is crucial to understand that these three tools should not be viewed all together.

本文主要針對台幣兌換美元的匯價，採用移動平均法則給定的交易訊號模擬交易，透過模擬交易得到顯著異於零的超額報酬，試著利用條件資本資產定價模型解釋超額報酬與風險之間的關係。實證結果顯示：在傳統資本資產定價模型下，超額報酬無法透過承擔風險所獲得風險貼水來解釋，但加入金融危機事件的影響後，發現在金融危機期間，市場風險係數下降，異常報酬增加，表示在此期間，即使市場大盤表現不佳，技術分析仍能成功捕捉台幣兌換美元的匯價變動趨勢，使金融危機期間的技術交易報酬平均高於金融危機前後。

This study examines the relationship between the performances of US equity REITs and the market risk premium, SMB, HML, MOM as well as an industry index and a real estate index. The statistical significance of the abnormal returns and the beta coefficients of independent variables are examined. The REITs are categorized in seven groups according to their investment areas and the analysis results are compared. Daily return indexes of US equity REITs are collected for the period between 2005 and 2011. These data are then used to estimate the Capital Asset Pricing Model (CAPM) of Sharpe (1964) and Lintner (1965), the Fama and French&rsquo / s 3-Factor Model (1993) and Carhart&rsquo / s 4-Factor Model (1995). These models are re-estimated by adding an industry and a real estate index. The empirical results show that these added independent variables improve the available models. Additionally, no abnormal return is detected for REITs and their returns have a positive correlation with the SMB and HML factors and a negative correlation with the MOM factor. Therefore,, the REITs are relatively small and have high book-to-market ratios. The negative MOM coefficients indicate that the losers will win and the winners will lose.

The question many investors ask is whether or not it is possible to beat the market andearn money by being active on the stock market. In efficient markets this should not be possible, but several researches have come up with strategies that prove the opposite. There are certain market movements that cannot be explained by the arguments of the traditional efficient market hypothesis and such market movements are in the standard finance theory called anomalies. Two well-known anomalies are the P/E effect and the small firm effect. The P/E effect means that portfolios with low P/E stocks attain higher average risk-adjusted returns than portfolios with high P/E stocks. Similarly, the small firm effect means that companies with small market capitalization earn higher return than those with large market capitalization. Even though these anomalies were discovered in the US, they occur on other markets as well. However, most of the studies regarding these have focused on developed markets. Therefore, the focus in this study has been on emerging markets, more specifically the Baltic market. The problem we aimed to answer with this study is whether or not it is possible to attain abnormal returns on the Baltic stock market by using the P/E effect or the small firm effect. Further on, we found it interesting to investigate which one of the two anomalies that is the best investment strategy. By doing this, we have also been able examine if the Baltic market is efficient or not. The study investigates all listed firms (both active and dead) with available data on Nasdaq OMX Baltic between the years 2000-2014. There are two different samples, a P/E sample and a market capitalization sample. The firms in the samples are ranked and grouped into portfolios and then tested to see if there is significant evidence of the existence of the P/E effect and the small firm effect. The results of the tests show that the Baltic market is not completely efficient, since statistical support was found for the small firm effect. This implies that it is possible to attain abnormal returns on the Baltic market by investing in small capitalization stocks. However, the tests showed no significant evidence of the P/E effect. For this reason, with the assumptions made, we recommend the small firm effect as an investment strategy on the Baltic stock market.