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Fred Bocock was examining the performance of the Energy Hedge Fund and the Energy Portfolio, a hedge fund and a mutual fund respectively, which he manages. Bocock had become increasingly aware that absolute returns or relative returns (returns relative to a benchmark) may not adequately capture his performance and some measure of risk-adjusted performance was necessary. The Dynamis Energy Hedge Fund extends the discussion of performance evaluation into the hedge fund arena. (See “Zeus Asset Management,” UVA-F-1232, for an examination of performance evaluation techniques in the mutual funds arena.) More broadly, the case engages students in discussions on what hedge funds are, what investment strategies they use, and who their investors are. Since the portfolio manager of Dynamis manages both an oil sector equity mutual fund and an oil sector hedge fund, the case allows for a comparison between a hedge fund and a mutual fund. Students should consider the pros and cons of evaluating the performance of the oil stock mutual fund against a number of oil sector stock indices as well as against a number of generic indices, such as the S&P 500 Index. The use of futures, options, shorts, and leverage by hedge funds makes it a lot more difficult to measure their performance. The case comes with a spreadsheet that contains data on the energy mutual fund, the Dynamis hedge fund, and several relevant indices.

The purpose of this paper is to examine the price level and volatility impacts of oil prices on energy mutual funds (EMFs). The authors also examine specific fund characteristics which might influence those interactions.

The authors test for volatility transmission between the oil prices and the funds in the sample. Later, the authors test to see which fund characteristics impact these volatility interactions.

The results show oil price movements lead majority of sample EMFs. The authors also find a volatility feedback relationship with most of the sample. Furthermore, the authors show the fund characteristics to be important indicators of these interactions. Morningstar rating, market capitalization and management tenure are found to be significant drivers of the relationships between EMFs and oil prices.

To the knowledge, there is not a study in literature which examines these relationships.

This study examines current dynamics, consolidates current knowledge, elicits trends, identifies and analyzes primary research clusters, and offers future research directions for mutual fund marketing.

Using bibliographic information from the SCOPUS database, this study used sequential bibliometric (143 documents) and content analyses (37 documents). Bibliometric analysis aids descriptive analysis and science mapping, while content analysis facilitates identifying and analyzing research clusters and provides future research directions.

The study identifies publication trends, the most relevant authors, and journal articles and unveils the knowledge structures of the field. Analysis of bibliographic coupling reveals the following significant clusters: (1) socially responsible investing and investor preferences, (2) investor factors and traits and investment decisions; (3) external factors, mutual funds' performance and proxy information; (4) the role of disclosures and ratings in shaping investment choices, and (5) cognitive biases, information processing errors and investor behavior. Finally, it offers future research directions.

Using different databases, bibliometric analysis tools, study periods or article screening criteria for the study might yield different results. However, this study's significant findings are robust to such alternatives.

This study summarizes primary clusters and identifies gaps in the current literature, which helps scholars, practitioners, regulators and policymakers understand the nuances of mutual funds marketing. Future studies may focus on the role of online and offline integration, using neuroscience for data m and contemporary investment behavior models.

This is the first study to apply a two-stage sequential hybrid review of articles published over the last decade in high-quality journals, enabling an analysis of the depth and breadth of mutual funds marketing research.

Currently, renewable energy (RE) sources represent a crucial pillar in obtaining sustainable development, one of the global goals for all countries. However, this presents a unique challenge for emerging and developing countries. As the technical and financial issues remain a significant barrier in implementing RE projects, several mechanisms are available to aid the financial aspect of investing and implementing clean energy projects. This paper aims to discuss new and traditional trends in the financial area of renewable investment, focusing on the Dominican Republic (DR), identifying the gaps in the financial area regarding RE.

An empirical study was conducted in the DR. This country is located at the heart of the Caribbean. Given the complexity of RE and developing countries issues and the scarcity of comparable research in the area, an interpretivist research paradigm along with the qualitative methodology was adopted. Primary data was collected through semi-structured interviews. The study sample includes: directors, chief executive officers and managers responsible for the implementation of RE strategies in their respective departments/organisations. NVivo software was used for data management and the collected data was analysed using content analysis.

The research highlighted several severe financial handicaps regarding RE in the DR: The lack of RE assets recognition; lack of RE investment loans; perceived RE risk; and lack of financial guarantor. After extensive interviews with critical actors in the RE sector in the DR, the possible solutions and recommendations for avoiding locking the energy and economic sector in fossil fuel debt are: (a) diversification of RE technology assets recognition, (b) implementation of government RE fund, (c) RE education on all actors and (d) introduction and adoption of new financial trends such as green bonds, bank pooling, cooperatives and more.

This paper provides information and knowledge related to financial tools and policies that are available for the RE projects in the DR. The results have a socio-economic impact. This research provides a better understanding of the key financial tools to be explored by RE project developers in the developing countries. This study shows the gaps that exist between the knowledge that the stakeholders should possess and the actual knowledge that exists in the country regarding the financial aspect of an RE project.

This study aims to examine the attractiveness of the regional Dow Jones Sustainability Indexes (DJSI) and several renewable energy indexes during December 31, 2010 to December 31, 2019. This study uses a risk-return analysis and a set of explanatory factors. Lastly, this study conducts a comparative analysis of these indexes with conventional indexes.

This study uses data from Eikon, a Thomson Reuters database. To analyze the indexes’ behavior, this study uses the indexes’ annual return as of December 31 for each year. Next, this study estimates the Fama and French’s five-factor model using an ordinary least squares regression for regional DJSI and renewable energy indexes.

The results show that regional DJSIs delivered returns both above and below conventional indexes. In contrast, renewable energy indexes had high betas and negative returns, making them unattractive to investors.

The results imply the need for public financing programs that support the transition to a sustainable economy and reduce risk and increase the return on private investment.

This study provides insights for policymakers regarding the importance of sustainability indexes in the transition to a green economy.

This study contributes to the growing literature on Fama and French’s five-factor model of sustainability indexes, especially in the current context characterized by intense green political changes. In particular, this study complements the few studies that have addressed the economic implications of renewable energy indexes in markets.

Clean energy stocks are exhibiting signs of increasing volatility reflecting the varied and conflicting strategies employed by nations to pursue energy security objectives. In this regard, this paper aims to examine the response of NASDAQ clean energy stock returns volatility to the influences of external energy security elements including oil price, natural gas price, coal price, carbon price and green information technology stock price.

The paper uses symmetric and asymmetric generalised autoregressive conditional heteroskedasticity models (GARCH and TGARCH, respectively), which incorporate external energy security elements as exogenous variables, to estimate volatility models for clean energy stock returns.

Although, prices of oil, coal and natural gas are negatively associated with NASDAQ clean energy returns volatility, only the effect of natural gas price is significant. While carbon price affects NASDAQ clean energy returns volatility positively, green information technology price affects the volatility negatively. These results are robust to exponential GARCH and lead-and-lag robust ordinary least-squares as alternative estimation methods.

The study lumps the effects of all other external and internal factors, including internal energy security elements, in the autoregressive conditional heteroscedasticity (ARCH) term to predict NASDAQ clean energy returns conditional variance. GARCH method does not disentangle individual roles of the factors captured in the ARCH term in predicting volatility.

Results documented imply that natural gas appears a closer substitute for renewable energy sources than crude oil and coal, such that its price rise is perceived as good news in the NASDAQ clean energy financial market, while a fall is considered bad news. Furthermore, both an increase in carbon price and a decrease in green information technology stock performance are perceived as negative shocks.

In assessing risks associated with clean energy stocks, investors and fund managers should carefully consider the effects of external energy security elements.

To the best of the author’s knowledge, the paper is the first to identify external energy security elements and examine their effects on clean energy stock volatility.

Before the 2007 financial crisis, securitized products accounted for half the credit market. Once regarded as one of the biggest financial innovations of the last century, securitization is now viewed as a contributory factor to the crisis. Until recently research has focused on the post-1970s mortgage securitization market. In this paper, I trace the earlier origins of securitization, from the 12th century Genoese compera through to early 20th century efforts. The historical examples highlight unifying themes on risk allocation and complexity. As the future securitization market remains uncertain, it is important to consider lessons to be learned from these historical episodes.

This is primarily a survey article that utilizes historical documents to compare/contrast features of securitization with the recent crisis.

Improved disclosure is the key element to address recent securitization flaws, but disclosure does not really matter if the entire process is not understood. An examination of historical episodes can be instructive. Forging ahead, any securitization reform needs to address why securitization markets formed, why they failed and how the securitization market can be improved.

As the future securitization market remains uncertain, it is important to consider lessons to be learned from these historical episodes.

To the best of my knowledge, this is one of the first research papers that surveys the history of securitization as far back as the twelfth century.

The aim of the paper is to investigate the risk-hedging and/or safe haven properties of environmental, social and governance (ESG) index during the COVID-19 in China.

This paper employs the DCC, VCC, CCC as well as Newey–West estimator regression.

The findings provide empirical evidence of the risk hedging properties of ESG indexes as well as of the environmental, social and governance thematic indexes during the outbreak of the COVID-19 crisis. The results also support the superior risk hedging properties of ESG indexes over cryptocurrency. However, the authors do not find any safe haven properties of ESG, Bitcoin, gold and West Texas Intermediate (WTI).

The paper offers therefore, practical policy implications for asset managers, central bankers and investors suggesting the pandemic risk-hedging opportunities of ESG investments.

The study represents one of the first empirical contributions examining safe-haven and hedging properties of ESG indexes compared to traditional and innovative safe haven assets, during the eruption of the COVID-19 crisis.

The purpose of this paper is to compare the financial performance of green and traditional mutual funds in the USA.

A total of 131 green mutual funds identified by US SIF, were compared with the averages of all traditional mutual funds in their respective Morningstar categories. Performance measures analyzed included annualized rates of return, expense ratios, and Sharpe ratios, among others. Most data pertained to at least the past three years, while other data pertained to the most recent 5 to 15 years.

The results demonstrate that green mutual funds have generated lower returns and similar risks compared to traditional mutual funds in their respective Morningstar categories. Green mutual funds have underperformed on a risk‐adjusted basis.

Since there is no formal definition of a green mutual fund, the researcher and investor must make a subjective call in assessing which funds invest “green”. However, at least in this early stage in the history of green investing, green mutual funds have underperformed their peers.

Results confirm the limitations of green investing as suggested by various researchers, among them Sharpe, Rudd and Kurtz and DiBartolomeo. Results stand in contrast to Corson and Van Dyck and Statman, among others, which reported no significant underperformance for socially responsible investments.