Static Systematic Risk Profile of Nifty 100 Stocks: A Year on Year Analysis of Beta

GIS Business ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. 75-83
Author(s):  
Neeraj Sangh
Keyword(s):  
Stock Exchange ◽  
Systematic Risk ◽  
Regression Function ◽  
Least Square ◽  
Market Model ◽  
Rate Of Return ◽  
Market Theory ◽  
Ols Regression ◽  
Index Model ◽  
Market Index

Beta Coefficient, as a measurement statistic of systematic risk of securities, was initially explained by Sharpe as a slope of simple linear regression function using rate of return on a market index as independent variable and a securitys rate of return as dependent variable. National Stock Exchange (NSE), the leading stock exchange of India, practice this ordinary least square (OLS) regression based single index market model for disseminating beta coefficients of prominent NIFTY 100 stocks. OLS regression based index model presumes that beta coefficients of securities should remain stable for accuracy of predicted returns. Brenner and Smidt (1977) emphasized the importance of having accurate beta forecast mainly because of (i) understanding risk-return relationships in capital market theory and (ii) extensive usage of beta in making investment decisions. The objective of this paper is to examine year on year stability of beta coefficients of NIFTY 100 index stocks.

ANALISIS PORTOFOLIO OPTIMAL DENGAN MENGGUNAKAN MODEL INDEKS TUNGGAL PADA SAHAM IDX BUMN20 DI BURSA EFEK INDONESIA JANUARI 2018-JANUARI 2019

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Mochamad Andik Firmansyah
Keyword(s):  
Stock Exchange ◽  
Optimal Portfolio ◽  
Rate Of Return ◽  
Portfolio Risk ◽  
Expected Return ◽  
Purposive Sampling ◽  
Single Index ◽  
Index Model ◽  
Market Return ◽  
Single Index Model

Penelitian ini bertujuan untuk menentukan level of expected return dan the best risk of optimal portfolio  formation dengan menggunakan Single Index Model pada saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dari bulan Januari 2018 sampai January 2019. Saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dengan populasi sebanyak 20 perusahaan. Dengan menggunakan populasi sebesar 20 perusahaan maka peneliti menggunakan purposive sampling, dan ternyata hanya 18 perusahaan saja yang ditemukan memenuhi kriteria penelitian ini. Penelitian ini juga menggunakan metode Kuantitatif Deskriptif. Analisa data pada penelitian ini untuk menentukan saham-saham mana saja yang termasuk the optimal portfolio, dan juga the level of proportion of 1 funds yang termasuk juga dalam kategori the optimal portfolio dan the level of expected return serta the best risk of the optimal portfolio yang terbentuk dengan menggunakan Single Index Model. Hasil dari penelitian ini menunjukan bahwa terdapat 5 perusahaan dengan kategori the optimal portfolio dari 18 sampel perusahaan pada saham IDX BUMN 20 dengan tingkat tertinggi dari level of proportion of 1 funds ditemukan pada PTBA share sat 1.89333 or 189,333%, di lain pihak dengan tingkat terendah adalah pada TLKM shares at -2.13488 or -213.488% yang berarti bahwa saham TLKM adalah negatif dan harus dijual dalam jangka waktu pendek sebesar 213,488% dari dana yang dimiliki oleh para inventor dan menghasilkan rate of return yang diharapkan dari formasi optimal portfolio sebesar 0.17583 or 17.583% lebih tinggi dari yang diharapkan oleh market return sebesar 0.00264 or 0.264% dan memiliki tingkat portfolio risk borne sebesar 0.10384 or 10,384%, lebih kecil dari the risk of market sebesar 0.03367 or 3,367% dan beta market sebesar 1.Kata Kunci : Portfolio, Optimal Portfolio, Single Index Model.

IPO valuation using the price-multiple methods: evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chui Zi Ong ◽  
Rasidah Mohd-Rashid ◽  
Kamarun Nisham Taufil-Mohd
Keyword(s):  
Initial Public Offerings ◽  
Stock Exchange ◽  
Least Square ◽  
Multiple Methods ◽  
Cross Sectional ◽  
Ols Regression ◽  
Content Type ◽  
Public Offerings ◽  
Ordinary Least Square ◽  
Valuation Method

Purpose This study aims to investigate the valuation accuracy of Malaysian initial public offerings (IPOs) by using price-multiple methods. Design/methodology/approach Cross-sectional data including 467 IPOs listed on the Malaysian stock exchange were used for the period of 2000–2017. This study used univariate ordinary least square (OLS) regression to analyse the relationship between IPOs’ price-multiples and comparable firms’ price-multiples. The test of valuation accuracy was conducted via computing valuation errors by segregating the sample into two groups: fixed-price IPOs and book-built IPOs. Furthermore, multiple OLS regression was used to examine the influence of IPO valuation on underpricing. Findings The findings of the results suggested that IPOs price-to-earnings (P/E), price-to-book (P/B) and price-to-sales (P/S) multiples were positively related to the median P/E, P/B and P/S multiples of five comparable firms matched by industry and revenues. The P/S multiple was shown to be the most significant valuation method, specifically in book-built IPOs. The findings indicated that those firms that had a lower valuation in comparison to the comparable firms were inclined to underprice their IPOs to allure investors to subscribe IPOs. In addition, book-built IPOs that had fair valuations were inclined to generate higher initial returns for investors. Practical implications The findings of this study observed implications for underwriters in avoiding the mis-valuation issue by considering the book-building mechanism. Originality/value This study attempted to explore the suitability of the valuation method to value IPOs in Malaysia.

scholarly journals The Role of Political Connections on Family Firms’ Performance: Evidence from Indonesia

2019 ◽  
Vol 7 (4) ◽  
pp. 55 ◽  
Author(s):  
Iman Harymawan ◽  
Mohammad Nasih ◽  
Muhammad Madyan ◽  
Diarany Sucahyati
Keyword(s):  
Family Firms ◽  
Stock Exchange ◽  
Least Square ◽  
Political Connections ◽  
Family Ownership ◽  
Ols Regression ◽  
Ordinary Least Square ◽  
Relationship Of ◽  
The Relationship

The purpose of this study is to investigate the relationship of firms with family ownership and their performance in Indonesia and further examine on how political connections affect this relationship. This study used 933 samples from 413 companies listed on the Indonesia Stock Exchange (IDX) in the period between 2014 and 2016. Using ordinary least square (OLS) regression, the results shows that firms without family ownership (non-family firms) have better performance than firms with family ownership (family firms) in Indonesia. Furthermore, the findings also show that the performance of family firms significantly improve when the firms are affiliated with political connections. Our findings imply that establishing political connections in family firms will increase the performance of the firms.

scholarly journals PENGARUH PEMILIHAN INDEKS PASAR DALAM PEMBENTUKAN PORTOFOLIO MODEL INDEKS TUNGGAL

2020 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Ezra Putranda Setiawan
Keyword(s):  
Empirical Study ◽  
Standard Error ◽  
Stock Exchange ◽  
Optimization Method ◽  
Optimal Portfolio ◽  
Single Index ◽  
Index Model ◽  
Single Index Model ◽  
Market Index ◽  
Index Value

Portfolio is a type of investment consists of several assets, such as stocks. Single index model is a portfolio optimization method that uses the market index value to calculate beta as a measure of asset’s performance. However, there are several market index available in Indonesia Stock Exchange. In this study, we examine and compare the performance of several market index to the portfolio’s performance that calculated using Single-Index Model. We choose several stocks that used in several market index, obtain the return data, and obtain the beta using several market index. The calculation of the optimal portfolio were repeated using 15 sets of data to obtain consistency. Based on the empirical study, we obtain that the way to choose the market index could affect the estimated beta as well as its standard error. However, it has a very small effect on the weight and the performance of the optimal portfolio.

scholarly journals Analisis Pengaruh Beta Saham, Debt To Equity Rasio (DER) terhadap Return On Asset (ROA) Perusahaan di Bursa Efek Indonesia

2019 ◽  
Vol 28 (02) ◽  
pp. 198-212
Author(s):  
Muhammad Ikhsan ◽  
Eko Budi Santoso
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Net Income ◽  
Financial Leverage ◽  
Return On Equity ◽  
Market Index ◽  
Sample Data ◽  
Equity Ratio ◽  
Excess Stock Returns

Perhitungan rasio keuangan penting bagi perusahaan.. Investor dapat melihat kinerja perusahaan apakah perusahaan berkinerja baik dibandingkan dari rata-rata industri. Rasio adalah ukuran perbandingan antara pos dalam laporan keuangan dengan pos lainnya. Misalnya rasio profitabilitas yaitu Return on Asset makin tinggi ROA makin baik karena Net income makin tinngi. Demikian juga Debt to Equity ratio yaitu  berapa batasan berhutang yang ideal yaitu financial leverage berapa ukuran maksimal sehingga net income maksimal.Resiko sistematis atau Beta saham didapat dari slope hasil regresi antara ekses return saham dengan ekses pasar adalah ukuran resiko juga dalam berinvestasi saham . Resiko adalah hal yang menyimpang dari target yang kita inginkan atau sesuatu pencapaian yangberbeda dari hal atau sesuatu yang kita inginkan atau harapkan. Contoh Resiko berinvestasi adalah jika kita menderita kerugian atau kehilangan pokok yang kita tanankan. Resiko yang mempengaruhi saham di bursa yaitu bisa resikosistematik atau bisa juga resiko unsistematis atau resiko di dalam perusahaan misalnya manajemennya. Resiko sistematisjuga disebut resiko pasar yang menimpa semua saham seperti pengaruh dari luar yaitu inflasi, kurs mata uang atau kebijakan pemerintah.Penelitian ini akan membahas apakah ada pengaruh Debt to equity ratio dan beta saham/ resiko sistematis terhadap nilai ROA karena bagi perusahaan net income adalah penting juga bagi investor untuk membeli saham.Sampel datayang diambil penulis sebanyak 35 macam saham dengan cara mengambil secara acak saham-saham yang ada di Bursa efek Indonesia. Data sampel akan diolah dengan statistik menjadi informasi dalam menjawab permasalahan  dengan  Aplikasi SPSS edisi 19. Hasil penelitian ini yaitu secara bersama-sama variabel Debt to Equity ratio dengan Beta saham mempunyai pengaruh yang signifikan terhadap Return on Equity (ROA) perusahaan di Bursa Efek Indonesia Calculation of finance ratios is important for the company. Investors can view the performance of the company if the company performs well compared to the average industry. The ratio is a measure of the ratio between account in the financial statements with another accounts. For example profitability ratios Return on Assets( ROA) higher is better because Net income increasing. Likewise with Debt to Equity ratio, is how much restriction ideal loanlikethe ideal size of financial leverage to maximum net income. Beta is a systematic risk obtained from the slope of the regression results between excess stock returns with excess return of the capital market index. This is a measure of risk in stock investing. Risk is something that deviates from the target that we want or something less achievement from thing or something we want or expect. Examples of investment risk is if we suffer any loss of money  that we invest. Risks of invest stocks is a systematic risk or a unsystematis risk for examplelike a management in the company. Systematic risk is also called market risk hapend to all shares like outside influence,for example inflation, foreign exchange rates or government policy. This research will address the influence Debt to equity ratio and beta stocks / systematic risk to the value of Return of Asset (ROA) because for the company's net income is important for investors to decide buy shares. Sample data is retrieved author as many as 35 kinds of stocks by taking random stocks that exist in the Indonesian Stock Exchange. The sample data will be processed with statistical information in the answer problems with SPSS applications editions 19. Results of this research is jointly variable Debt to Equity ratio with Beta stocks have a significant influence on Return on Equity (ROA) companies in Indonesia Stock Exchange

scholarly journals The Effect of Liquidity, Solvency and Profitability on Dividend in the Manufacturing Listed Firms on the Indonesian Stock Exchange

2020 ◽  
Vol 1 (1) ◽  
pp. 15-32
Author(s):  
Abid Djazuli ◽  
Dodi Dodi
Keyword(s):  
Stock Exchange ◽  
Least Square ◽  
Profit Margin ◽  
Manufacturing Companies ◽  
Current Ratio ◽  
Ols Regression ◽  
Listed Firms ◽  
Ordinary Least Square ◽  
Net Profit ◽  
Equity Ratio

This study aims to investigate the effect of liquidity, solvency and profitability on dividend in the manufacturing listed firms on the Indonesian Stock Exchange for the period of 2010 to 2018. The variables employed in this study are liquidity, solvency, profitability and dividend per share. The Ordinary Least Square (OLS) regression is used to analyze the data. The data is collected from the Indonesian Stock Exchange (IDX) website. The results reveal that liquidity, solvency and profitability have a significant effect on Dividend Per Share of Manufacturing Companies on the Indonesia Stock Exchange. Current Ratio, Cash Ratio, Debt to Equity Ratio, Debt to Asset Ratio, Net Profit Margin, and Earning per Share have a positive and significant effect on Dividend per Share. Therefore, manufacturing companies listed on the Indonesia Stock Exchange must maintain stability, liquidity, solvency and profitability in order to increase Dividend per Share.

scholarly journals A Vector Autoregressive Market Model for IT Sector Stocks in India

2021 ◽  
Vol 13 (1) ◽  
pp. 35
Author(s):  
Mihir Dash ◽  
Rita S.
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Autoregressive Model ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Market Model ◽  
Vector Autoregressive Model ◽  
Vector Autoregressive ◽  
Asset Pricing Model ◽  
Indian Stock Market

This study proposes a vector autoregressive form for the market model and tests its significance against the market model for information technology (IT) sector stocks in the Indian stock market. The analysis was performed for a sample of nineteen IT sector stocks listed on the National Stock Exchange of India, of which nine stocks were large-cap, six were mid-cap, and four were small-cap. The study period considered was Jan. 1, 2018 – Dec. 31, 2018. The key contribution of the study was the finding that the vector autoregressive model is a better model of stock returns than the market model for IT sector stocks. Thus, IT sector stocks seem to react more to market movements from the previous day than on the day itself. The implication for asset pricing modelling is that systematic risk may be further decomposed into a component corresponding to sensitivity to market movements on the day and a component corresponding to sensitivity to market movements on the previous day. The asset pricing model would be extended to include market risk premia for both of these components of systemic risk. Keywords: market model, vector autoregressive model, IT sector, asset pricing modelling, systematic risk.

scholarly journals Determinants of Earnings Response Coefficient in the Nigerian Post-IFRS Implementation Era

2021 ◽  
pp. 24-31
Author(s):  
Sunny Biobele Beredugo
Keyword(s):  
Stock Exchange ◽  
Systematic Risk ◽  
Secondary Data ◽  
Least Square ◽  
Earnings Response Coefficient ◽  
Response Coefficient ◽  
Ex Post ◽  
Earnings Response ◽  
The Impact ◽  
Ifrs Implementation

Aims: The study assessed the determinants of earnings response coefficient in the Nigerian Post-IFRS implementation era. It critically looked at the impact of investors' protection, earnings persistency, and systematic risks on earnings response coefficients. Study design: The study adopted an ex-post facto research design. Methodology: A sample of 35 companies was drawn from the population of the listed companies in the Nigerian Stock Exchange between 2013 to 2020. Secondary data was used. The Generalized Least Square was used to test the hypotheses Results: The study shows that the earnings response coefficient improves with the influence of investors’ protection, systematic risk, and earning persistency. Although the influence from systematic risk brings about an inverse effect on ERC, it is a fundamental determinant nonetheless. It was recommended that firms should improve on their investors' protection and that their financial reports should be designed to improve the information contents of accounting earnings to include inherent socio-economic risk, past and prospective earnings.

scholarly journals Risk estimation for shares on the Johannesburg Stock Exchange using transfer function modeling

1998 ◽  
Vol 29 (1) ◽  
pp. 1-13
Author(s):  
Ian K. Craig ◽  
Mike T. Bendixen
Keyword(s):  
Transfer Function ◽  
Financial Risk ◽  
Stock Exchange ◽  
Risk Estimation ◽  
Systematic Risk ◽  
Ols Regression ◽  
Regression Methods ◽  
Johannesburg Stock Exchange ◽  
University Of Cape Town ◽  
The University

This study investigates whether the estimation of the systematic risk component or the beta of shares on the Johannesburg Stock Exchange (JSE) can be improved using transfer function or MARIMA modeling. Two propositions are tested. Transfer function modeling will result in estimates of systematic risk which are different from those obtained using conventional OLS regression methods. Transfer function models will provide forecasting results which are better than those provided by betas estimated in the conventional way. Proposition I cannot be tested using conventional inferential tests as the standard errors of estimate of the betas estimated from MARIMA modeling cannot, in general, be measured. It is found however that 16.9% of the MARIMA beta estimates fall outside the 95% confidence intervals of the respective OLS regression beta estimates. Similar results are obtained when the OLS regression betas are compared to the University of Cape Town (UCT) Financial Risk Service and BFA-NET beta estimates. Proposition 2 can in general not be supported as the MARIMA and OLS regression forecasts are found not to be statistically significantly different. Cross correlations between index and share returns are in many cases found not to be statistically significant. In such cases one is probably better off using OLS regression. Resulting beta estimates should be used with caution.

scholarly journals PENGARUH FINANCIAL LEVERAGE TERHADAP SYSTEMATIC RISK SAHAM

2019 ◽  
Vol 9 (2) ◽  
pp. 95-102
Author(s):  
Rahyang Rizal ◽  
Dematria Pringgabayu
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Positive Influence ◽  
Least Square ◽  
Debt Ratio ◽  
Financial Leverage ◽  
Normal Period ◽  
The Global Financial Crisis

This Research examine the influence of financial leverage measure by Debt Ratio there are Degree of Financial Leverage (DFL), Debt to Total Asset (DTA) and Debt to Equity Ratio (DER) to the systematic risk (beta) of stock, and also examine the difference influence of thus debt ratio to the systematic risk (beta) of stock in normal period and in the global financial crisis in the year of 2008. This research use the data of firms in the manufacture sector which is listed on Indonesia Stock Exchange (Bursa Efek Indonesia) for the year of 2006 untill 2009. Using the purposive sampling method founded 87 firms for the sample. Research analysis use the panel data regression with General Least Square (GLS) method and 95% degree of confidence. The result of this research found that DFL, DTA and DER have a positive influence to the systematic risk (beta) of stock and also found that there is no difference influence of thus debt ratio to the systematic risk (beta) of stock in the normal period and on the global financial crisis in the year of 2008.

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