scholarly journals Is there any effect of ESG scores on portfolio performance? Evidence from Europe and Turkey

2020 ◽  
Vol 4 (2) ◽  
pp. 129-143
Author(s):  
Emre Zehir ◽  
Aslı Aybars
Keyword(s):  
Factor Model ◽  
Efficient Market Hypothesis ◽  
Capital Asset Pricing ◽  
Portfolio Performance ◽  
Socially Responsible ◽  
Content Type ◽  
Responsible Investment ◽  
Asset Pricing Model ◽  
Market Index ◽  
Three Factor

PurposeThe purpose of this paper is to examine the performance of portfolios that are constructed based on environmental, social and governance (ESG) scores and consist of stocks located in Europe and Turkey.Design/methodology/approachIn order to form the portfolios, firstly all stocks are ranked in a descending way based on ESG-based (ESG, environmental, social and governance) scores, separately. Then, 10% of stocks with the highest scores are included in the “Top” portfolio and 10% of stocks with the lowest scores are included in “Bottom” portfolio and totally performance of eight portfolios are investigated. Finally, capital asset pricing model (CAPM) and Fama-French three-factor model are employed as performance measurement benchmarks.FindingsResults obtained from CAPM regression show that using ESG-based scores two portfolios underperform the market index. The results of the three-factor model provide that performances of Bottom ESG and Bottom GOV portfolios outperform the market excess return by 0.57% and 0.53%. The overall findings of this paper indicate that there is no relationship between socially responsible investment (SRI) and portfolio performance. These findings are in line with the efficient market hypothesis which indicates all information is reflected in prices.Originality/valueThe aim of the study is to provide insight on the question of “whether SRI has any effect on the portfolio performance”. As far as the literature review is concerned it is seen that this study provide additional insight by utilizing a longer time span together with data from numerous markets.

Performance measurement of Islamic mutual funds using DEA method

2020 ◽  
Vol 11 (8) ◽  
pp. 1481-1496
Author(s):  
Abul Hassan ◽  
Abdelkader Chachi ◽  
Mahfuzur Rahman Munshi
Keyword(s):  
Mutual Funds ◽  
Factor Model ◽  
Capital Asset Pricing ◽  
Data Envelopment ◽  
Comparative Performance ◽  
Content Type ◽  
Asset Pricing Model ◽  
Skewness Factor ◽  
Using Data ◽  
Three Factor

Purpose The purpose of this study is to update the investment literature by providing latest evidence of performance of Islamic mutual funds by using global sample mutual funds data to support with empirical facts. Design/methodology/approach This study analyzes the comparative performance of Islamic and conventional mutual funds by using capital asset pricing model, Fama & French’s three-factor model and Carhart’s four-factor model. Further, the study tested the coskenwness effect by using data envelopment analysis approach. Findings The authors find evidence that when size of the funds is controlled, Islamic investment underperform the conventional mutual funds in four out of six models. The size of underperformance varies from model to model: from 32 basis points in the Carhart’s four-factor model with the skewness factor to two basis points at the Fama and French’s three-factor model. Also the study finds that alpha(s) are only insignificant for conventional mutual funds when the skewness factor is included in the regression. While comparing the loading on Islamic mutual funds, results show that Islamic mutual funds are less risky than conventional mutual funds when they are controlled for skewness. Originality/value This study uses the different factor models of performance evolution which help in overcoming weakness of measuring the Islamic mutual funds’ performance.

Fewer reasons to sin: a five-factor investigation of vice stock returns

2017 ◽  
Vol 43 (9) ◽  
pp. 1016-1033 ◽  
Author(s):  
Greg Richey
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Capital Asset Pricing ◽  
National Defense ◽  
Content Type ◽  
Explanatory Variables ◽  
Asset Pricing Model ◽  
The Relationship ◽  
Three Factor

Purpose The purpose of this paper is to investigate the return performance of a portfolio of US “vice stocks,” firms that manufacture and sell products such as alcohol, tobacco, gaming services, national defense and firearms, adult entertainment, and payday lenders. Design/methodology/approach Using daily return data from a portfolio of vice stocks over the period 1987-2016, the author computes the Jensen’s α (capital asset pricing model (CAPM)), Fama-French Three-Factor, Carhart Four-Factor, and Fama-French Five-Factor results for the complete portfolio, and each vice industry individually. Findings The results from the CAPM, Fama-French Three-Factor Model, and the Carhart Four-Factor Model show a positive and significant α for the vice portfolio throughout the sample period. However, the α’s significance disappears with the addition of the explanatory variables from the Fama-French Five-Factor Model. Originality/value The author provides academics and practitioners with results from a new model. As of this writing, the author is unaware of any articles published in peer-reviewed academic journals that investigate vice stocks within the framework of the Fama-French Five-Factor Model (2015). First, the existing literature does not shed light on the relationship between “profitability” and “aggressiveness” (the fourth and fifth factors of the Fama-French Model) and vice stock returns. Second, within the framework of the Fama-French Five-Factor Model, the author shows results not only from a portfolio of vice stocks, but from various vice industries as well.

scholarly journals Responsible or Thematic? The True Nature of Sustainability-Themed Mutual Funds

2019 ◽  
Vol 11 (12) ◽  
pp. 3304 ◽  
Author(s):  
Federica Ielasi ◽  
Monica Rossolini
Keyword(s):  
Mutual Funds ◽  
Factor Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Socially Responsible ◽  
True Nature ◽  
Asset Pricing Model ◽  
Fama And French ◽  
Better Than

The aim of the paper is to compare the risk-adjusted performance of sustainability-themed funds with other categories of mutual funds: sustainable and responsible mutual funds that implement different approaches in portfolio selection and management, and thematic funds not committed to responsible investments. The study analyses a sample of about 1000 European mutual open-end funds where 302 are sustainability-themed funds, 358 are other responsible funds, and 341 other thematic funds. Risk-adjusted performance is analyzed for the period 2007–2017 using different methodologies: a single factor Capital Asset Pricing Model (CAPM), a Fama and French (1993) 3-factor model, and a Fama and French (2015) 5-factor model. Our main findings demonstrate that the risk-adjusted performance of ST funds is more closely related to their responsible nature than to their thematic approach. Sustainability-themed mutual funds are more similar to other socially responsible funds than to other thematic funds, as confirmed by performance analysis over time. They are also better than other thematic funds in overcoming financially turbulent periods and currently benefit from SRI regulation and disclosure.

The effect of business cycle, market return and momentum on financial performance of socially responsible investing mutual funds

2017 ◽  
Vol 13 (3) ◽  
pp. 513-528 ◽  
Author(s):  
Karen Paul
Keyword(s):  
Business Cycle ◽  
Financial Performance ◽  
Mutual Funds ◽  
Factor Model ◽  
Social Performance ◽  
Socially Responsible ◽  
Content Type ◽  
Responsible Investing ◽  
Market Return ◽  
Three Factor

Purpose This study examines the effect of business cycle, market return and momentum on the financial performance of socially responsible investing (SRI) mutual funds using data from two complete business cycles as defined by the National Bureau of Economic Research (NBER). Design/methodology/approach A “fund of funds” approach is used to identify the extent to which SRI financial performance is affected by the macroeconomic climate. The Fama-French Three-Factor model and the Carhart four-factor model are used to bring the results into alignment with commonly used finance methodologies. Findings The results indicate that SRI tends to preserve value during economic contraction more than it adds value during economic expansion. Market return is important during both expansion and contraction, while momentum is important only during expansion. Research limitations/implications These findings suggest that double screening, for both financial and social performance, enables portfolio managers of SRI funds to have insight into those companies that are particularly vulnerable during times of economic contraction. Practical implications These results bring added clarity to the mixed findings found by previous researchers examining the relationship between corporate social performance (CSP) and financial performance. Social implications This study reinforces the idea that the financial performance of companies with high ethical standards is comparable to the financial performance of the market as a whole during times of economic expansion and superior to the market as a whole during times of economic contraction. Originality/value Business cycle analysis, along with the Fama-French Three-Factor model and the Carhart four-factor model, brings SRI research more into the realm of conventional financial analysis than previous studies.

scholarly journals Factors influencing SRI fund performance

2019 ◽  
Vol 3 (1) ◽  
pp. 68-81
Author(s):  
Halil Kiymaz
Keyword(s):  
Regression Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Fund Performance ◽  
Factor Models ◽  
Cross Sectional ◽  
Content Type ◽  
Responsible Investment ◽  
Factors Influencing ◽  
Three Factor

Purpose The purpose of this paper is to examine socially responsible investment (SRI) fund performance and investigate the factors influencing fund performance. Design/methodology/approach The study uses return data from the Morningstar database for 152 SRI funds from January 1995 to May 2015. The initial analysis includes the use of various risk-adjusted performance measures, including Sharpe ratio, Treynor ratio, Information ratio, Sortino ratio and M2. The study also uses four factor models, including Jensen single-factor model, Fama–French three-factor model, Carhart four-factor model and Fama–French five-factor model to explain SRI fund returns. Finally, a cross-sectional regression analysis is applied to investigate the determinants of SRI fund returns. Findings The results show that, on average, the SRI funds provide comparable risk-adjusted returns relative to various benchmark market indices. Market factor is significant in explaining SRI fund returns. Examining each factor model, the results do not support Fama–French’s three-factor model as neither size nor value factor is significant. The author finds weak support for Carhart’s momentum factor along with the market factor. Finally, the Fama–French five-factor model shows market, size and operating profit factors explain SRI fund returns. The study also finds the fund performance is stronger for funds with the higher turnover ratio, the larger fund size and more managerial experience and lower for funds with higher expense ratio. Also, funds formed with negative screening perform better than positive or mixed screened funds. Originality/value SRI funds have received considerable attention from investors. This study contributes to the literature by examining SRI fund performance and investigating factors influencing their performance using multiple factor models and cross-sectional regression analysis. The findings are relevant for investors who demand responsible investment opportunities without sacrificing returns for nonfinancial screenings. Findings also suggest that investors should consider fund characteristics when selecting SRI funds.

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.

The role of efficiency in capital asset pricing: a research on Nasdaq technology sector

2020 ◽  
Vol 46 (11) ◽  
pp. 1479-1493
Author(s):  
Hakan Aygoren ◽  
Emrah Balkan
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Factor Model ◽  
Explanatory Power ◽  
Efficiency Factor ◽  
Capital Asset Pricing ◽  
Capital Asset ◽  
Content Type ◽  
The Impact ◽  
Three Factor

PurposeThe aim of this study is to investigate the role of efficiency in capital asset pricing. The paper explores the impact of a four-factor model that involves an efficiency factor on the returns of Nasdaq technology firms.Design/methodology/approachThe paper relies on data of 147 firms from July 2007 to June 2017 to examine the impact of efficiency on stock returns. The performances of the capital asset pricing model (CAPM), Fama–French three-factor model and the proposed four-factor model are evaluated based on the time series regression method. The parameters such as the GRS F-statistic and adjusted R² are used to compare the relative performances of all models.FindingsThe results show that all factors of the models are found to be valid in asset pricing. Also, the paper provides evidence that the explanatory power of the proposed four-factor model outperforms the explanatory power of the CAPM and Fama–French three-factor model.Originality/valueUnlike most asset pricing studies, this paper presents a new asset pricing model by adding the efficiency factor to the Fama–French three-factor model. It is documented that the efficiency factor increases the predictive ability of stock returns. Evidence implies that investors consider efficiency as one of the main factors in pricing their assets.

scholarly journals Analisis Komparasi Capital Asset Pricing Model dan Fama-French Three Factor Model untuk Penentuan Investasi Pada Saham Indeks IDX30 (Periode 2016 – 2018)

2020 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Nadyah Brhigitta Dwiyuningsih Dotulong ◽  
Lanto Miriatin Amali ◽  
Selvi Selvi
Keyword(s):  
Asset Pricing ◽  
Annual Report ◽  
Factor Model ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Asset Pricing Model ◽  
Three Factor

Penelitian ini bertujuan untuk mengetahui Metode Capital Asset Pricing Model dan Fama-French Three Factor Model untuk penentuan investasi pada saham Indeks IDX30 periode 2016 – 2018 serta untuk membandingkan antara dua model tersebut model manakah yang memiliki tingkat akurasi yang lebih tinggi untuk mempertimbangkan tingkat return dan risikonya. Metode yang digunakan dalam penelitian ini adalah deskriptif komparatif dengan pendekatan kuantitatif. Adapun data yang digunakan adalah data berupa laporan keuangan tahunan (annual report) Indeks IDX30 periode 2016 – 2018. Hasil penelitian ini menunjukkan bahwa Metode Capital Asset Pricing Model merupakan model yang lebih akurat dibandingkan Fama-French Three Factor Model. Selain terlihat sederhana, model Capital Asset Pricing Model ini juga lebih akurat dalam menentukan investasi sesuai dengan tingkat pengembalian yang diharapkan dan risiko yang bersedia ditanggung dan model ini dapat memberikan informasi secepat-cepatnya mengenai tingkat pengembalian dan risiko yang akan ditanggung investor. Kata-kata Kunci:Metode Capital Asset Pricing Model, Fama-French Three Factor Model, dan Indeks IDX30. 

Study of REIT ETF beta

2016 ◽  
Vol 17 (3) ◽  
pp. 347-369
Author(s):  
Stoyu I. Ivanov
Keyword(s):  
Real Estate ◽  
Factor Model ◽  
Real Estate Investment Trust ◽  
Capital Asset Pricing ◽  
Exchange Traded Funds ◽  
Financial Instrument ◽  
Content Type ◽  
Asset Pricing Model ◽  
Daily Data ◽  
Retail Investors

Purpose The aim of this study is to examine real estate investment trust exchange-traded funds (REIT ETFs) and test for the existence of the “asymmetric beta puzzle” phenomenon in these financial instruments that are relatively new and are gaining popularity. The “asymmetric beta puzzle” phenomenon is used to identify the hedging and diversification benefits of a financial instrument. “Asymmetric beta puzzle” exists when betas in declining markets are higher than betas in advancing markets. Design/methodology/approach To study 14 REIT ETFs by using monthly and daily Center for Research in Security Prices (CRSP) data. Capital asset pricing model (CAPM) and Fama–French three-factor model were used to estimate betas in REIT ETFs and those in advancing and declining markets. Both the S&P 500 and the CRSP value-weighted indices were used in the beta estimation. Two hypotheses with regard to betas in both advancing and declining markets were defined and tested to test for the existence of the “asymmetric beta puzzle” phenomenon. Findings This study confirms the presence of the “asymmetric beta puzzle” in the data of monthly REIT ETFs as documented by Goldstein and Nelling (1999) and Chatrath et al. (2000) for REITs; however, this phenomenon was not found when using daily data, but quite the opposite – REIT ETF betas are higher in advancing markets than they are in declining markets – was found. Originality/value Goldstein and Nelling (1999) and Chatrath et al. (2000) identify the phenomenon of “the asymmetric REIT-beta puzzle” in monthly REIT’s returns. This study revisits the phenomenon identified in the aforementioned authors’ studies by using daily data and a relatively new real estate financial instrument – REIT ETFs. Therefore, this paper fills a void in the literature and would benefit both institutional and retail investors in their portfolio designs.

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