Asset Pricing Model: The Precisely One to Predict Expected Return

2019 ◽  
Author(s):  
Pattaraporn Hiranto
Keyword(s):  
Asset Pricing ◽  
Pricing Model ◽  
Expected Return ◽  
Asset Pricing Model

scholarly journals On the Validity of the Capital Asset Pricing Model (CAPM)

2020 ◽  
Vol 12 (4) ◽  
pp. 1
Author(s):  
M. J. Alhabeeb
Keyword(s):  
Asset Pricing ◽  
Market Risk ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Technical Tool ◽  
Expected Return ◽  
Asset Pricing Model

This study exposes the meaning and role of the Capital Asset Pricing Model (CAPM) and lays out the key elements that make it work. It shows the model’s theoretical strength and examines its applicability and validity as a technical tool to measure the expected return to the investment in stock, along with assessing the market risk associated with that investment.

scholarly journals Investment decision by using Capital Asset Method Pricing Model (CAPM) (Case studies on five automotive companies listed in stock exchange)

2021 ◽  
Vol 1 (2) ◽  
pp. 165-175
Author(s):  
Ahmad Musodik ◽  
Arrum Sari ◽  
Ida Nur Fitriani
Keyword(s):  
Asset Pricing ◽  
Automotive Industry ◽  
Stock Exchange ◽  
Investment Decision ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Expected Return ◽  
Asset Pricing Model

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.

scholarly journals Analisis Keakuratan Capital Asset Pricing Model (CAPM) dan Arbitrage Pricing Theory (APT) dalam Memprediksi Expected Saham pada LQ45

d'CARTESIAN ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 30
Author(s):  
Muhammad Irfan Ibrahim ◽  
Jullia Titaley ◽  
Tohap Manurung
Keyword(s):  
Asset Pricing ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Arbitrage Pricing Theory ◽  
Pricing Model ◽  
Capital Asset ◽  
Arbitrage Pricing ◽  
Expected Return ◽  
Asset Pricing Model ◽  
Pricing Theory

Para investor dalam pembelian saham pada dasarnya memiliki tujuan yang sama yaitu mengharapkan pengembalian (return) yang maksimal dan risiko seminimal mungkin. Untuk mengambil keputusan dalam investasi tersebut dengan memperhatikan harapan investor maka diperlukan prediksi yang akurat. Untuk memilih saham dari Pasar Modal, investor menilai dari expected return yang dihitung dari saham tersebut. Para investor dalam memilih portofolio saham sering dihadapkan dengan berbagai faktor yang relevan dalam mengestimasi expected return. Model yang sering digunakan dalam mengestimasi expected return saham berdasarkan faktor-faktor yang dianggap memengaruhi return saham adalah Capital Asset Pricing Model (CAPM) dan Arbitrage Pricing Theory (APT). CAPM merupakan model untuk menentukan expected return saham pada keadaan equilibrium. APT mengasumsikan bahwa expected return saham dipengaruhi oleh berbagai faktor dalam perekonomian dan industri. Tujuan penelitian ini untuk mengetahui perbandingan tingkat keakuratan CAPM dan APT dalam mengestimasi expected return pada saham-saham yang terdaftar pada LQ45. Penelitian ini menggunakan data close price bulanan saham dengan periode Juni 2011-Juni 2016. Dari hasil penelitian ini, menunjukkan bahwa perbandingan keakuratan dari CAPM dan APT yang dilihat dari nilai Mean Absolute Deviation (MAD) yang memiliki selisih yang sangat kecil. Berdasarkan hasil uji-t Dua Sampel Independen dapat diambil kesimpulan yang menyatakan bahwa tidak terdapat perbedaan yang signifikan antara keakuratan CAPM dan APT dalam mengestimasi expected return saham yang terdaftar pada LQ45.Kata Kunci : CAPM, APT, Expected Return.

An Empirical Test of Capital Asset-pricing Model and Three-factor Model of Fama in Indian Stock Exchange

2018 ◽  
Vol 43 (4) ◽  
pp. 294-307
Author(s):  
Nenavath Sreenu
Keyword(s):  
Asset Pricing ◽  
Factor Model ◽  
Stock Exchange ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Expected Return ◽  
Asset Pricing Model ◽  
Three Factor

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.

scholarly journals MENENTUKAN SAHAM YANG EFISIEN DENGAN MENGGUNAKAN METODE CAPITAL ASSET PRICING MODEL (CAPM)

2020 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
ELVINA LIADI ◽  
KOMANG DHARMAWAN ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Asset Pricing ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Expected Return ◽  
Asset Pricing Model

CAPM has been well known as a method to select which stocks are efficient in a portfolio. The purpose of this study is to determine efficient stocks using CAPM method. Data used in this study are the monthly closing prices recorded from February 2016 to July 2018. The results of this study indicate that the CAPM is able to show efficient stocks with differences in the return and expected return of a positive or negative value of CAPM. In this study, it is found that AMAG.JK, ASBI.JK, ASJT.JK, ASMI.JK, ASRM.JK, PNIN.JK, VINS.JK, LPGI.JK, MREI.JK are efficient stocks while ABDA.JK, AHAP.JK, ASDM.JK are inefficient stocks

scholarly journals The Capital Asset Pricing Model: Theory and Evidence

2004 ◽  
Vol 18 (3) ◽  
pp. 25-46 ◽  
Author(s):  
Eugene F Fama ◽  
Kenneth R French
Keyword(s):  
Asset Pricing ◽  
Equity Capital ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Expected Return ◽  
Asset Pricing Model ◽  
Market Portfolio ◽  
Empirical Tests

The capital asset pricing model (CAPM) of William Sharpe (1964) and John Lintner (1965) marks the birth of asset pricing theory (resulting in a Nobel Prize for Sharpe in 1990). Before their breakthrough, there were no asset pricing models built from first principles about the nature of tastes and investment opportunities and with clear testable predictions about risk and return. Four decades later, the CAPM is still widely used in applications, such as estimating the cost of equity capital for firms and evaluating the performance of managed portfolios. And it is the centerpiece, indeed often the only asset pricing model taught in MBA level investment courses. The attraction of the CAPM is its powerfully simple logic and intuitively pleasing predictions about how to measure risk and about the relation between expected return and risk. Unfortunately, perhaps because of its simplicity, the empirical record of the model is poor - poor enough to invalidate the way it is used in applications. The model's empirical problems may reflect true failings. (It is, after all, just a model.) But they may also be due to shortcomings of the empirical tests, most notably, poor proxies for the market portfolio of invested wealth, which plays a central role in the model's predictions. We argue, however, that if the market proxy problem invalidates tests of the model, it also invalidates most applications, which typically borrow the market proxies used in empirical tests. For perspective on the CAPM's predictions about risk and expected return, we begin with a brief summary of its logic. We then review the history of empirical work on the model and what it says about shortcomings of the CAPM that pose challenges to be explained by more complicated models.

scholarly journals Analysis of the Relationship of Risk and Return Using the Capital Asset Pricing Model (CAPM) Method at Kompas 100 for the 2015-2019 Period

2020 ◽  
Vol 2 (2) ◽  
pp. 383-393
Author(s):  
Andini Nurwulandari
Keyword(s):  
Asset Pricing ◽  
Stock Price ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Expected Return ◽  
Risk And Return ◽  
Asset Pricing Model ◽  
The Relationship

This research aimed to investigate the relationship between risk and return on Kompas 100 shares using the Capital Asset Pricing Model (CAPM) approach from 2015 to 2019. The sample amounted to 52 companies registered in Kompas 100. This study used a quantitative approach. The data used includes the closing price of shares and the Composite Stock Price Index (IHSG) for 4 years (1 January 2015 - 31 December 2019) and the risk-free rate, which is calculated using the interest rate on Bank Indonesia Certificates ( SBI) issued by the Bank Indonesia. The results of testing the relationship with the simple correlation coefficient of CAPM calculation, Beta, and CAPM predicted return has a significant positive relationship. If beta increases, the expected return will increase, and vice versa. If Beta goes down, the expected return will go down. Of the 52 sample companies, 33 companies deserve to be used as investment destinations and purchase their shares.

scholarly journals The Investing Decisions during the COVID-19 Pandemic by Using the Capital Asset Pricing Model (CAPM) Method in LQ 45 Index Companies

2020 ◽  
Vol 1 (4) ◽  
pp. 409-420
Author(s):  
Elly Susanti ◽  
Ernest Grace ◽  
Nelly Ervina
Keyword(s):  
Asset Pricing ◽  
Stock Exchange ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Expected Return ◽  
Asset Pricing Model ◽  
Proportional Relationship ◽  
Quantitative Descriptive

Investors need to invest wisely because the Covid 19 pandemic has gone global, so that the stock exchange has also begun to waver. Therefore, several methods are needed to determine investment decisions. This study uses the CAPM (Capital Asset Pricing Model) method and classifies and evaluates LQ 45 index companies based on the level of undervalued and overvalued. This type of quantitative descriptive research is the type of research applied in this research. In this study using saturated samples. Data processing was done using Microsoft Excel application program. The results of the study by comparing the beta value with the expected return have an inversely proportional relationship. from the 45 companies, there are 20 Undervalued companies and 25 Overvalued companies.

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