This study compares return and volatility performance of exchange-traded funds (ETFs) with high-ESG (Environment, Social, and Governance) rating vs. low-ESG rating. The paper also examines time-series data predictability by identifying their positive dependence and volatility asymmetry properties, and examines the performance of two combinations of short-memory models i.e., autoregressive moving average and exponential generalized autoregressive conditional heteroskedasticity (ARMA-EGARCH); autoregressive moving average and asymmetric power autoregressive conditional heteroskedasticity (ARMA-APARCH) and two long-memory models, autoregressive moving average and fractionally integrated exponential generalized autoregressive conditional heteroskedasticity (ARFIMA-FIGARCH); and autoregressive fractionally-integrated moving average and asymmetric power autoregressive conditional heteroskedasticity (ARFIMA-APARCH). The study found that low-ESG rating ETFs on average have slightly significant higher returns and also lower volatility compared to their high-ESG rating counterparts. Evidence of asymmetric volatility properties are also present on both high-ESG and low-ESG rating ETFs returns. The study also observed that for both high-ESG and low-ESG rating ETFs denote a stationarity, but non-invertible process in their returns. Results can provide fresh understanding in the topic of leverage effects and volatility that can open future research channels to academicians.
Diaz, J. F. T.; Young, M. N.; Prasetyo, Y. T. Return and Volatility Properties Comparison of High-ESG Rating and Low-ESG Rating Exchange-traded Funds (ETFs). Financial Economics Letters, 2024, 3, 30. https://doi.org/10.58567/fel03020005
AMA Style
Diaz J F T, Young M N, Prasetyo Y T. Return and Volatility Properties Comparison of High-ESG Rating and Low-ESG Rating Exchange-traded Funds (ETFs). Financial Economics Letters; 2024, 3(2):30. https://doi.org/10.58567/fel03020005
Chicago/Turabian Style
Diaz, John F. T.; Young, Michael N.; Prasetyo, Yogi T. 2024. "Return and Volatility Properties Comparison of High-ESG Rating and Low-ESG Rating Exchange-traded Funds (ETFs)" Financial Economics Letters 3, no.2:30. https://doi.org/10.58567/fel03020005
APA style
Diaz, J. F. T., Young, M. N., & Prasetyo, Y. T. (2024). Return and Volatility Properties Comparison of High-ESG Rating and Low-ESG Rating Exchange-traded Funds (ETFs). Financial Economics Letters, 3(2), 30. https://doi.org/10.58567/fel03020005
Article Metrics
Article Access Statistics
References
Albuquerque, R.; Koskinen, Y.; Yang, S.; Zhang, C. (2018) Corporate social responsibility and firm risk: Theory and
Alfaro, J., & Cifuentes, A. (2023). On the Performance of Portfolios Based on ESG Ratings. The Journal of Impact and ESG Investing, 3(4), 12-27. https://doi.org/ 10.3905/jesg.2023.1.071
Aslan, A.; Poppe, L.; Posch, P. (2021) Are sustainable companies more likely to default? Evidence from the dynamics between credit and ESG ratings. Sustainability, 13, 8568. https://doi.org/10.3390/su13158568
Bag, D., & Mohanty, S. (2021). Impact of ESG Factors on Emerging Market Stock Returns. The Journal of Impact and
Bekaert, G., & Wu, G. (2000). Asymmetric volatility and risk in equity markets. Review of Financial Studies, 13, 1-42. https://www0.gsb.columbia.edu/faculty/gbekaert/papers/asymmetric%20volatility.pdf
Bollerslev, T., and Mikkelsen, H. O. (1996) Modeling and pricing long-memory in stock market volatility, Journal of Econometrics, 73, 151-184. https://doi.org/10.1016/0304-4076(95)01736-4
Cakici, N., & Zaremba, A. (2022). Responsible Investing: ESG Ratings and the Cross Section of International Stock Returns. The Journal of Impact and ESG Investing, 3(1), 80-101. https://doi.org/ 10.3905/jesg.2022.1.052
Chen, J.H. (2011) The spillover and leverage effects of ethical exchange-traded funds, Applied Economics Letter, 18(10), 983-87. https://doi.org/10.1080/13504851.2010.520663
Chen, J.H. and J.F. Diaz (2014) Predictability and Efficiency of the Philippine Stock Exchange Index. Journal of Business and Economics, 5(4), 535-539. https://www.researchgate.net/publication/289536298_Predictability_and_Efficiency_of_the_Philippine_Stock_Exchange_Index
Chen, J.H. and Diaz, J.F. (2013) Spillover and leverage effects of faith-based exchange-traded funds, Journal of Business and Policy Research, 7(2), 1-12. https://www.scirp.org/reference/referencespapers?referenceid=2210587
Chen, J.H. and Huang, C. (2010) An analysis of the spillover effects of exchange traded funds, Applied Economics, 42, 1155-68. https://doi.org/ 10.1080/00036840701721182
De, I. and Clayman, M. (2014) The benefits of socially responsible investing: An active manager's perspective. SSRN working papers series, 2464204. https://www.hillsdaleinv.com/uploads/The_Benefits_of_Socially_Responsible_Investing-An_Active_Managers_Perspective.pdf
Ding, Z., Granger, C. W. J., and Engle, R. F. (1993) A long memory property of stock market returns and a new model, Journal of Empirical Finance, 1, 83–106. https://doi.org/10.1016/0927-5398(93)90006-D
Engle, R. (1982) Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987-1007. https://doi.org/10.2307/1912773
Fama, E. F., 1965, “The behavior of stock market prices”, Journal of Business, 38, 34-105. https://doi.org/10.1086/294743
Goudarzi, H. (2010) Modeling long memory in the Indian stock market using Fractionally Integrated EGARCH Model, International Journal of Trade, Economics and Finance, 3. https://doi.org/ 10.7763/IJTEF.2010.V1.42
Granger, C. and Joyeux, R. (1980) An introduction to long memory time series models and fractional differencing, Journal of Time Series Analysis, 1, 15-39. https://doi.org/10.1111/j.1467-9892.1980.tb00297.x
Kreander, N, Gray, R, Power, D, and Sinclair, C. (2005) Evaluating the performance of ethical and non-ethical funds: A matched pair analysis, Journal of Business Finance and Accounting, 32(7), 1465-1493. https://www.ijtef.com/papers/42-F460.pdf
Hayat R. and Kraeussl, R. (2011) Risk and return characteristics of Islamic equity funds, Emerging Markets Review, 12, 189-203. https://econpapers.repec.org/RePEc:eee:ememar:v:12:y:2011:i:2:p:189-203
Hong, H. and Kacperzcyk, M. (2009) The price of sin: The effect of social norms on market, Journal of Financial Economics, 93, 15-36. https://doi.org/10.1016/j.jfineco.2008.09.001
Hosking, J. (1981) Fractional differencing, Biometrika, 68, 165-176. https://doi.org/10.2307/2335817
Husted, Bryan W., and José de Jesus Salazar. (2006). Taking Friedman Seriously: Maximizing Profits and Social Performance. Journal of Management Studies, 43(1), 75–91. https://doi.org/10.1111/j.1467-6486.2006.00583.x
Kammoun, M., & Tandja, D. C. (2023). The Impact of ESG Risks on the Performance of Infrastructure Mutual Funds. The Journal of Impact and ESG Investing, 3(3), 80-94. https://doi.org/ 10.3905/jesg.2023.1.066
Kang, S.H. and Yoon, S.M. (2007) Long memory properties in return and volatility: Evidence from the Korean stock market, Statistical Mechanics and Its Applications, 385(2), 591-600. http://dx.doi.org/10.1016/j.physa.2007.07.051
Kempf, Alexander, and Peer Osthoff. (2007). The Effect of Socially Responsible Investing on Portfolio Performance. European Financial Management, 13(5), 908–922. https://doi.org/10.1111/j.1468-036X.2007.00402.x
Korkmaz, T., Cevik, E. and Ozatac, N. (2009) Testing for long memory in ISE using ARFIMA-FIGARCH model and structural break test, International Research Journal of Finance and Economics, 26, 188-191. https://ideas.repec.org/p/pra/mprapa/71302.html
Koutmos, G., Lee, U. and Theodossiou, P., (1994) Time-Varying Betas and Volatility Persistence in International Stock Markets, Journal of Economics and Business, 46, 101-112. https://doi.org/10.1016/0148-6195(94)90004-3
Lin, C. and Chiang, M. (2005) Volatility effect of ETFs on the constituents of the underlying Taiwan 50 index, Applied Financial Economics, 15, 1315-1322. https://doi.org/10.1080/09603100500389630
Liu, L.L., Diaz, J.F., and Ivagov, E. (2014) Linkages in Corporate Social responsibility Indices and Major Financial Market Indices. Journal of Advanced Studies in Finance, 2(10), 157-163. https://journals.aserspublishing.eu/jasf/article/view/102
Mabrouk, S. and Aloui, C. (2010) One-day-ahead value-at-risk estimations with dual long-memory models: Evidence from the Tunisian stock market, International Journal of Financial Services Management, 4(2), 77-94. http://dx.doi.org/10.1504/IJFSM.2010.032433
Markowitz H. (1952). Portfolio selection, Journal of Finance, 7(1), 77-91. https://doi.org/10.2307/2975974
Milonas, N., Rompotis, G., & Moutzouris, C. (2022). The Performance of ESG Funds vis-à-vis Non-ESG Funds. The Journal of Impact and ESG Investing, 2(4), 96-115. https://doi.org/10.3905/jesg.2022.1.041
Nelson, D. (1991) Conditional heteroskedasticity in asset returns: a new approach, Econometrica, 59, 349-370. https://ideas.repec.org/a/ecm/emetrp/v59y1991i2p347-70.html
O’Rourke, A. (2003) The message and methods of ethical investment, Journal of Cleaner Production, 11, 683-693. https://doi.org/10.1016/S0959-6526(02)00105-1
Reenebog, L., Jenke, T. and Chendi, Z. (2008), The price of ethics and stakeholder governance: The performance of socially responsible mutual funds, Journal of Corporate Finance, 14, 302-322. http://www.sciencedirect.com/science/article/pii/S0929-1199(08)00027-8
Rompotis, G. G. (2023). Do ESG ETFs “Greenwash”? Evidence from the US Market. The Journal of Impact and ESG Investing, 3(4), 49-63.
Rüzgar, B. and Kale, I. (2007) The use of ARCH and GARCH models for estimating and forecasting volatility, Kocaeli Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 14(2), 78-109. https://dergipark.org.tr/tr/download/article-file/251963
Tan, S.H. and Khan, M.T. (2010) Long memory features in return and volatility of the Malaysian stock market, Economics Bulletin, 30(4), 3267-3281. https://ideas.repec.org/a/ebl/ecbull/eb-10-00299.html
Tansuchat, R., Chang, C.L., and McAleer, M. (2009) Modeling long memory volatility in agricultural commodity futures returns. Annals of Financial Economics, 7(2). https://ideas.repec.org/p/tky/fseres/2009cf680.html
Tse, Y. (1998) The conditional heteroscedasticity of the Yen-Dollar exchange rate, Journal of Applied Econometrics, 193, 49–55. https://ideas.repec.org/a/jae/japmet/v13y1998i1p49-55.html
Xiong, J. X. (2021). The Impact of ESG Risk on Stocks. The Journal of Impact and ESG Investing, 2(1), 7-18. https://doi.org/ 10.3905/jesg.2021.1.025
Zhang, J.; De Spiegeleer, J.; Schoutens,W. (2021) Implied tail risk and ESG ratings. Mathematics, 9, 1-16. https://doi.org/10.3390/math9141611