Risk-Return Association of Dhaka Stock Exchange Market: A Capital Asset Pricing Model Framework

2012 ◽  
Author(s):  
Md. Zobaer Hasan ◽  
Anton Abdulbasah Kamil ◽  
Adli Mustafa ◽  
Md. Azizul Baten
2021 ◽  
Vol 1 (2) ◽  
pp. 165-175
Author(s):  
Ahmad Musodik ◽  
Arrum Sari ◽  
Ida Nur Fitriani

Investment is a tool for investors to get more profit than what has been invested. Investors must be able to predict the possibilities that occur when investing. Capital Asset Pricing Model is a tool to predict the development of investment in a particular company used to calculate and determine the Expected Return in minimizing risk investments. The authors conducted research using a sample of 5 companies in the automotive industry, namely PT Astra International Tbk, PT Indokordsa Tbk, PT Indomobil Sukses Internasional Tbk, PT Astra Otoparts Tbk, and PT Gajah Tunggal Tbk. This study uses a descriptive quantitative approach with Microsoft Excel 2016 analysis tools. This study aims to determine Portfolio Analysis with the Capital Asset Pricing Model (CAPM) approach which is used as the basis for making stock investment decisions in automotive industry sector companies listed on the Indonesia Stock Exchange. Use from the results of the analysis of the results by comparing the value of E(Ri) has a directly proportional relationship, meaning that the higher the value of, then the stock return (E(Ri)) will be high as well. Of the 5 companies, there are 2 companies that are in the Undervalued category and 3 companies that are in the overvalued category. This means that investors who will invest in companies engaged in the automotive industry can decide to buy shares of the companies PT Indomobil Sukses Internasional Tbk and PT Gajah Tunggal Tbk, because they are classified as undervalued. Meanwhile, investors who want to invest in shares are not advised to buy company shares that are in the overvalued category, but are advised to sell them to investors who already have shares in the company.


Author(s):  
Mohsen Mehrara ◽  
Zabihallah Falahati ◽  
Nazi Heydari Zahiri

One of the most important issues in the capital market is awareness of the level Risk of Companies, especially “systemic risk (unavoidable risk)” that could affect stock returns, and can play a significant role in decision-making. The present study examines the relationship between stock returns and systematic risk based on capital asset pricing model (CAPM) in Tehran Stock Exchange. The sample search includes panel data for 50 top companies of Tehran Stock Exchange over a five year period from 1387 to 1392. The results show that the relationship between systematic risk and stock returns are statistically significant. Moreover, the nonlinear (quadratic) function outperforms the linear one explaining the relationship between systematic risk and stock returns. It means that the assumption of linearity between systematic risk and stock returns is rejected in the Tehran Stock Exchange. So we can say that the capital asset pricing model in the sample is rejected and doesn’t exist linear relationship between systematic risk and stock returns in the sample.


2018 ◽  
Vol 43 (4) ◽  
pp. 294-307
Author(s):  
Nenavath Sreenu

This article aims to test the capital asset-pricing model (CAPM) and three-factor model of Fama in Indian Stock Exchange, and it has focused on the recent growth of capital markets in India and the need of practitioners in these markets to determine a stable price for securities, and achieving expected returns has brought into consideration the theories predicting price securities Among different models the CAPM of Sharp. The study uses a sample of daily data and annual average for 54 companies listed on the National Stock Exchange, during the period from 2010 to 2016. The research article’s intention is to find whether the relationship between expected return and risk is linear, if beta is a complete measure of the risk and if a higher risk is compensated by a higher expected return. The results confirm that the intercept is statistically insignificant, upholding theory, for both individual assets and portfolios. The tests do not essentially provide validation against CAPM and Fama; however, other simulations can be built, more close to reality, by improving the model and offering an alternative which also takes into account the specific conditions of the Indian capital market and the global financial crisis consequences.


2019 ◽  
Vol 4 (1) ◽  
pp. 57
Author(s):  
Michael Amoh Asiedu ◽  
Richard Oduro ◽  
Emmanuel Kojo Amoah

Purpose: Capital asset pricing model (CAPM) has been one of the major asset pricing tools applied on the capital market to price listed securities. Several researchers have challenged the overall efficiency and validity of the model in terms of its ability to explain the behavior of the average returns on the basis of a single variable. The debate is now taking a new trend which aimed at assessing the robustness of the model in varying market conditions and this has been the main focus of the study; that is to determine whether or not CAPM applies to securities on Ghana Stock Exchange at different market conditions.Methodology: Data on monthly returns of 29 shares were selected from the Ghana Stock Exchange spanning from 2010 to 2018 and analyzed using regression analysis on the assumption of constant risk and varying risk situations.Findings: The study evidenced that the systematic risks differ between bulls, tranquil and bear periods. Market conditions therefore have impact on the CAPM model. CAPM is not robust with changes in market conditions after all especially in an emerging market such as the Ghana Stock Exchange.Contribution to theory, practice and policy: The result of this study implies that, the widely accepted CAPM for asset pricing model is not robust to changes in market conditions. It is therefore essential to predict future market conditions when formulating investment strategy as an investor. Again, investors should vary their risk premium depending on their expectation of the market conditions at the time of investment.


Sign in / Sign up

Export Citation Format

Share Document