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ESG Investing: From Sin Stocks to Smart Beta

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TLDR
In this paper, the impact of score-based ESG exclusion on both passive investment and smart-beta strategies was studied using the MSCI World universe, and the authors found that exclusion leads to improved scores of initially standard portfolios without deterioration of the risk-adjusted performance.
Abstract
Research on socially responsible investment in equity markets initially focused on sin stocks. Since then, the availability of data has been extended substantially and now covers environmental, social, and governance (ESG) criteria. Using ESG scores of firms belonging to the MSCI World universe, the authors measure the impact of score-based exclusion on both otherwise passive investment and smart beta strategies. They find that exclusion leads to improved scores of initially standard portfolios without deterioration of the risk-adjusted performance. Smart beta strategies exhibit a similar pattern, often in a more pronounced way. Moreover, the results demonstrate that exclusion also implies regional and sectoral tilts as well as (possibly undesirable) risk exposures of the portfolios. TOPICS:Portfolio theory, portfolio construction, ESG investing Key Findings • The authors show that environmental, social, and governance (ESG) screening can substantially improve ESG scores for both otherwise passive and smart beta portfolios without reducing risk-adjusted returns. • Starting from initially passive multicountry portfolios, ESG screening may lead to substantial regional tilts, such as overweighting Europe and underweighting the US and emerging countries or sectoral bets, for instance in favor of information technology and against financial and energy stocks. • Although the broad conclusion of improved ESG profile without affecting risk-adjusted performance also holds for smart beta portfolios, aggressive exclusion of ESG low-scoring firms may lead to some reduction in exposure to targeted factors.

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Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

TL;DR: In this paper , a review of sustainable finance research using big data analytics through machine learning of scholarly research is presented, where the most influential articles and top contributing journals, authors, institutions, and countries, as well as the methodological choices and research contexts are unpacked.
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Are ESG Stocks Safe-Haven during COVID-19?

TL;DR: In this article, the authors used wavelet coherence framework on four major ESG stock indices from global and emerging stock markets, and two proxies of COVID-19 fear over the period from February 5th, 2020, to March 18th, 2021.
Journal ArticleDOI

Optimal Strategies for ESG Portfolios

TL;DR: In this article, the authors proposed an investment strategy that maximizes the ESG quality of the portfolio while maintaining regional, sectoral, and risk factor exposures within stated limits, and provided evidence that such a portfolio would have produced risk-adjusted performance at least as high as the standard MSCI benchmark for a wide range of ESG criteria and regions over the 2007-2018 investment period.
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Comparing asymmetric price efficiency in regional ESG markets before and during COVID-19

TL;DR: In this article , the authors compared the asymmetric price efficiency of regional ESG markets by using an asymmetric multifractal detrended fluctuation analysis before and during the COVID-19 crisis.
Journal ArticleDOI

Do ethics outpace sins?

TL;DR: In this article , the authors examined quantile coherencies among sin stocks, ethical investments and conventional markets, and found that sustainable markets outperform sin stocks and traditional markets in diversification, safe-haven, and hedging potential.
References
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TL;DR: In this article, the authors identify five common risk factors in the returns on stocks and bonds, including three stock-market factors: an overall market factor and factors related to firm size and book-to-market equity.
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On Persistence in Mutual Fund Performance

Mark M. Carhart
- 01 Mar 1997 - 
TL;DR: Using a sample free of survivor bias, this paper showed that common factors in stock returns and investment expenses almost completely explain persistence in equity mutual fund's mean and risk-adjusted returns.
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Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency

TL;DR: In this article, the authors show that strategies that buy stocks that have performed well in the past and sell stocks that had performed poorly in past years generate significant positive returns over 3- to 12-month holding periods.
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The relationship between return and market value of common stocks

TL;DR: Scholes et al. as discussed by the authors examined the relationship between the total market value of the common stock of a firm and its return and found that small firms had higher risk adjusted returns than large firms.
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The relationship between earnings' yield, market value and return for NYSE common stocks: Further evidence

TL;DR: The empirical relationship between earnings' yield, firm size and returns on the common stock of NYSE firms is examined in this paper, showing that the stock of high E/P firms earn, on average, higher risk-adjusted returns than stock of low E/p firms and that this effect is clearly significant even if experimental control is exercised over differences in firm size.
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