This study investigates the impact of environmental, social, and governance (ESG) scores on company value and market capitalization volatility in the German stock market. Using daily data from the DAX 40 index for the years 2022, 2023, and 2024, this study employs various regression models to analyze the relationship between ESG scores, market capitalization, and volatility. The results show that ESG scores have a positive influence on market capitalization in the initial pooled ordinary least squares (OLS) regression analysis, with the magnitude of the effect increasing over the three-year period. However, when controlling for company-specific characteristics using a fixed-effects regression, the influence of ESG scores on market capitalization becomes statistically insignificant. Conversely, this study finds a weak but statistically significant positive relationship between ESG scores and annual volatility, contradicting the common assumption that companies with higher ESG scores exhibit lowervolatility. The analysis also reveals a size effect, with larger companies tending to have lower volatility. The study provides an up-to-date overview of the influence of sustainability on market capitalization and volatility, offering opportunities for further research by considering additional factors. These findings contribute to the ongoing debate on the financial implications of corporate sustainability practices and their impact on investor decision making.
This article proposes a simple periodic ETF sector rotation strategy for S&P 500. Unlike most ETF rotation strategies, the proposed strategy does not predict economic cycles. The strategy involves periodic ranking of component sectors based on sector ETF returns and reinvesting funds equally into the middle (median) three sector ETFs. We show that for the S&P 500, the proposed "median" ETF rotation strategy with monthly rebalancing is better than focusing on the winners-or the losers-sector ETFs with different frequencies of rebalancing. Using historical data from 2000 to 2024, we show that the proposed median monthly rotation strategy significantly outperforms the other two strategies and passive index investment in terms of total return, volatility, and maximum drawdown. An average investor can easily implement the proposed ETF rotation strategy.
Emerging Markets Plus blends frontier and emerging markets, and it may produce a significantly more efficient portfolio than emerging markets alone. This article examines actual results of the MSCI Emerging and Frontier Markets Indexes over the mid-2014 to mid-2024 period. It finds that at an allocation of 25% could reduce risk by more than five times any sacrifice in return. An important feature favoring frontier markets is the index volatility that has averaged 3% below that of emerging markets, due to the low inter-country correlation among individual frontier markets. Another consideration is that both frontier markets and emerging markets are inefficient, so active management can often improve upon the index returns used in this article. The main thing about frontier markets for international investors is their compelling diversification benefit. In addition, however, I like them for their economic growth, neglect, cheap valuation, positive demographics, and wonderful people.
This article develops a new and intuitive expression of investor utility. It starts with an empirical test of a general valuation model applied to three popular publicly traded market composites. The experiment compares the price estimates of the model to a traditional model that reflects mean-variance efficiency. Thereafter, we formally justify the usage of the proposed model. Its derivation is based on maximizing the logarithm of investor wealth. In contrast to prior work with a similar premise, we explicitly incorporate the investor time horizon, discretionary consumption, and potential investor default to determine loss aversion. We treat both borrowing and future expenditure as leverage. The resulting utility objective is finally directly transformed into a valuation model. The model is not limited to a specific probability distribution of asset returns. Although it conforms to markets where no-arbitrage conditions exist, it does not require such conditions. This makes it suitable for the valuation of illiquid assets, like private equity and private credit.
In this comprehensive article, we explore the rich history, dynamic activities, educational values, and formidable challenges encountered by the Student Managed Investment Fund Consortium (SMIFC). As an increasing number of universities seek to integrate student-managed investment funds (SMIFs) into their curricula, our narrative serves as a beacon, illuminating the path forged by Indiana State University's SMIFC and distilling invaluable insights garnered from its journey. The inception of the SMIFC dates to July 2013, when it was born from a collective vision shared among universities committed to nurturing student success and fostering leadership in the realm of investing. This shared ethos not only binds member institutions but also cultivates a supportive ecosystem, fostering collaboration, problem solving, and enduringfriendships among students and faculty alike. Central to the SMIFC's mission is the cultivation of robust relationships with industry partners. These partnerships are instrumental in advancing the consortium's core objectives of student education, research excellence, leadership development, and expansive networking opportunities. Moreover, these alliances serve as conduits for corporate sponsorships, thereby facilitating SMIFC functions, endowing student scholarships, catalyzing internships, and paving the way for coveted employment prospects. As of April 2024, the SMIFC boasted a membership encompassing 190 esteemed institutions, with prospects for further expansion on the horizon. With a steadfast commitment to excellence and an unwavering dedication to empowering the next generation of investment leaders, the ISU SMIFC continues to chart new frontiers and redefine the landscape of experiential learning in finance.
This study investigates the impact of environmental, social, and governance (ESG) ratings on the systematic and unsystematic risk of European companies from 2017 to 2022. Using data from the STOXX Europe 600 Index, we employ panel regression and multiple linear regression analyses to examine two ESG rating methodologies: the Bloomberg Disclosure Score, which serves as a proxy for ESG transparency, and the Morningstar Sustainalytics Score, which represents ESG performance. To ensure robustness, control variables-including market capitalization, EBIT margin, debt-to-equity ratio, payout ratio, sector classification, and the risk-free interest rate-are included in the analyses. The main findings show that from 2017 to 2021, ESG transparency has a significant positive impact on systematic risk. In 2022, however, this relationship becomes negative, indicating a shift in the way transparency affects risk. Throughout the study period, no significant effect of ESG transparency on unsystematic risk is observed. Regarding ESG performance, the results show that in ESG-sensitive sectors, higher ESG performance significantly increases systematic risk from 2017 to 2019. From 2019 to 2022, better ESG performance is associated with a significant reduction in systematic risk. In addition, a significant positive impact on unsystematic risk is found from 2019 to 2022. These findings highlight the complex and dynamic relationship between ESG ratings and company risk profiles, which is influenced by factors such as time period, industry sensitivity, and rating methodology. The study underlines the importance of context in understanding the impact of ESG factors on investment risk.
This article focuses narrowly on a very concrete question that investors and advisors may consider frequently. Given a goal of enhancing a portfolio's long-term return by tilting it toward the size and value factors, and given an existing core exposure to the broad stock market, is it better to add one (small/value) satellite or two (one small-cap and one value) satellites? The results here suggest that, all things considered, adding one small/value satellite is the better option.
This article explores the evolution of private equity in emerging markets, focusing on Central and Eastern Europe (CEE) from 2003 to 2023. It examines trends in fundraising, investing, and exits, highlighting the region's resilience through global crises, including COVID-19 and geopolitical conflict. Our analysis of private equity activity in the CEE region serves as the foundation for our analysis of dry powder. Notably, we identify an intriguing anomaly: the presence of negative dry powder, a condition that contrasts with prevailing global trends and suggests structural differences between the CEE private equity ecosystem and other emerging markets.
While financial statement analysis is frequently used to evaluate the fundamental performance of operating companies, this study shows that financial statement information can be used to evaluate mutual funds as well. Financial ratios constructed from mutual funds' individual financial statements differentiated future out-and underperformers by up to 4.5% and 1.6% of annual alpha in out-of-sample equity and fixed-income funds, respectively, and in excess of commonly used fund characteristics. Financial ratios reflecting the profitability of a fund's investment strategy improved predictive accuracy more than ratios reflecting its operating efficiency or leverage and funding. These techniques and results present a financial decomposition of mutual fund performance.
This article explores differences in 529 college savings plans that adjust asset allocations based on a child's age, becoming more conservative as college enrollment nears. We compared states offering a single risk group for a given age-based plan to those with multiple risk options-such as conservative, moderate, and aggressive. States with one risk group tend to have higher fees compared to states with multiple risk options. These single-risk funds often resemble moderately aggressive or aggressive options from states with multiple choices. We also found considerable variation in stock allocations for funds designed for children of the same age. Our analysis suggests that offering multiple risk group options allows for more personalized investment strategies and may improve outcomes, particularly for conservative investors. Although some investors can manually adjust allocations or build portfolios themselves, the optimal approach is to expand plan options. Doing so can enhance accessibility, reduce costs, and better align with the varied risk preferences of families saving for college.
This study examines Warren Buffett's investment strategy of focusing on companies with wide economic moats. We find companies with wide economic moats outperform those without such advantages in terms of overall returns, supporting Buffett's approach. However, these companies do not necessarily outperform the broader market. Companies lacking economic moats underperform the market, highlighting the importance of sustainable competitive advantages. The study proposes a zero-value long-short portfolio strategy to capitalize on the performance disparity between wide-moat and zero-moatfirms. Notably, we demonstrate that the value/growth indicator is superior to economic moat width for explaining stock returns, suggesting that while the concept of economic moat is valuable for understanding competitive advantage, it might be less useful for making investment decisions.
Using US stock market data spanning from 1871 to 2024, this article examines whether the equity risk premium required by investors (ERP) has decreased. Economic models and institutional developments suggest that the ERP should be lower. Ascertaining changes in the ERP, however, is difficult because the realized equity risk premium (ERPLZ) can be a misleading measure of the ERP. The ERPLZ depends largely on capital gains, which in turn, depend on changes in the ERP during the investment period. To overcome this difficulty, this article estimates the ERP based on dividend-equivalent earnings, which combine hypothetical capital gains and dividends into a single stream of cash flows. The main finding is that the ERP significantly decreased during the sample period, especially in the 1980s. The estimated decrease is over 2.5 percentage points.
This article examines the relationship between the S&P 500 stock index and the S&P 500 sentiment index compiled by the American Association of Individual Investors. The empirical investigation is based on ordinary least squares and quantile regressions during the period from 1987 to 2015. The main finding supports the idea that the individual investors sentiment index is more informative when financial markets are bearish.
Investment consultants use capital market assumptions to guide asset allocations, including setting the level of the allocation to private equity and venture capital. In this article, the authors extract factor risk, return, and correlation parameters from a set of asset-class risk, return, and correlation assumptions. With these factor statistics, they uncover consultants' implied factor loadings for private equity and venture capital. They find that much of the return comes from factor exposures but also find a meaningful differentiated return unrelated to factors. Their analytical approach reveals the embedded structure of venture capital and private equity capital market assumptions, key inputs to investment decision-making.
