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The profitability of seasonal trading timing: Insights from energy-related markets

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  • Day, Min-Yuh
  • Ni, Yensen

Abstract

Evaluating subsequent performance is critical in investment decision-making since investors make investment decisions now, but the profits generated will only be known later. However, the research on the significance of subsequent performance as trading signs issued by technical trading regulations in different seasons (hereafter referred to as seasonal effects) is limited and understudied, despite the widespread exploration of January and weekly effects in relevant studies. This study aimed to address this research gap and examine the impact of seasonal effects on clean energy and energy markets, revealing several critical findings. First, contrarian (momentum) trading rules generated better succeeding performance for the energy (clean energy) index than the clean energy (energy) index. Second, momentum (contrarian) trading rules generated better succeeding performance for the clean energy (energy) index than the energy (clean energy) index. Third, momentum (contrarian) trading rules exhibited stronger seasonal effects in Season 1 (Season 2) than in other seasons. Fourth, the analysis of RSI trading signals in Season 1 showed that the better succeeding index performance for clean energy was shown over 15% average holding period returns, compared to the near-zero mean daily returns for both clean energy and energy index returns over the data period. This study also indicates that considerable seasonal effects exist in both clean energy and energy markets.

Suggested Citation

  • Day, Min-Yuh & Ni, Yensen, 2023. "The profitability of seasonal trading timing: Insights from energy-related markets," Energy Economics, Elsevier, vol. 128(C).
  • Handle: RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006308
    DOI: 10.1016/j.eneco.2023.107132
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    as
    1. Keim, Donald B & Stambaugh, Robert F, 1984. "A Further Investigation of the Weekend Effect in Stock Returns," Journal of Finance, American Finance Association, vol. 39(3), pages 819-835, July.
    2. He, Xue-Zhong & Li, Kai, 2015. "Profitability of time series momentum," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 140-157.
    3. Honghui Chen & Vijay Singal, 2003. "Role of Speculative Short Sales in Price Formation: The Case of the Weekend Effect," Journal of Finance, American Finance Association, vol. 58(2), pages 685-705, April.
    4. Dai, Zhifeng & Dong, Xiaodi & Kang, Jie & Hong, Lianying, 2020. "Forecasting stock market returns: New technical indicators and two-step economic constraint method," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    5. Carlo Da Dalt & David Feldman & Gerald Garvey & Peter Joakim Westerholm, 2019. "Contrarians or momentum chasers? Individual investors’ behavior when trading exchange‐traded funds," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(5), pages 553-578, May.
    6. Madaleno, Mara & Dogan, Eyup & Taskin, Dilvin, 2022. "A step forward on sustainability: The nexus of environmental responsibility, green technology, clean energy and green finance," Energy Economics, Elsevier, vol. 109(C).
    7. Vijay Singal & Jitendra Tayal, 2020. "Risky short positions and investor sentiment: Evidence from the weekend effect in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(3), pages 479-500, March.
    8. K. J. Hong & S. Satchell, 2015. "Time series momentum trading strategy and autocorrelation amplification," Quantitative Finance, Taylor & Francis Journals, vol. 15(9), pages 1471-1487, September.
    9. Seyhun, H Nejat, 1988. " The January Effect and Aggregate Insider Trading," Journal of Finance, American Finance Association, vol. 43(1), pages 129-141, March.
    10. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.
    11. Honghui Chen & Vijay Singal, 2003. "Role of Speculative Short Sales in Price Formation: The Case of the Weekend Effect," Journal of Finance, American Finance Association, vol. 58(2), pages 685-706, April.
    12. Cohen, Jed J. & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2021. "Preferences for community renewable energy investments in Europe," Energy Economics, Elsevier, vol. 100(C).
    13. Duxbury, Darren & Yao, Songyao, 2017. "Are investors consistent in their trading strategies? An examination of individual investor-level data," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 77-87.
    14. Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013. "An analysis of commodity markets: What gain for investors?," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3878-3889.
    15. Slovic, Paul, 1972. "Psychological Study of Human Judgment: Implications for Investment Decision-Making," Journal of Finance, American Finance Association, vol. 27(4), pages 779-799, September.
    16. Liu, Xiaojia & An, Haizhong & Wang, Lijun & Jia, Xiaoliang, 2017. "An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms," Applied Energy, Elsevier, vol. 185(P2), pages 1778-1787.
    17. Wen-Ling Hsiao & Jin-Li Hu & Chan Hsiao & Ming-Chung Chang, 2018. "Energy Efficiency of the Baltic Sea Countries: An Application of Stochastic Frontier Analysis," Energies, MDPI, vol. 12(1), pages 1-11, December.
    18. Yu, Lin & Fung, Hung-Gay & Leung, Wai Kin, 2019. "Momentum or contrarian trading strategy: Which one works better in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 62(C), pages 87-105.
    19. Valentin Mahler & Robin Girard & Georges Kariniotakis, 2022. "Data-driven structural modeling of electricity price dynamics," Post-Print hal-03542564, HAL.
    20. Yen-Sen Ni & Jen-Tsai Lee & Yi-Ching Liao, 2013. "Do variable length moving average trading rules matter during a financial crisis period?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 135-141, February.
    21. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    22. Conrad, Jennifer & Kaul, Gautam, 1998. "An Anatomy of Trading Strategies," The Review of Financial Studies, Society for Financial Studies, vol. 11(3), pages 489-519.
    23. Kinateder, Harald & Papavassiliou, Vassilios G., 2021. "Calendar effects in Bitcoin returns and volatility," Finance Research Letters, Elsevier, vol. 38(C).
    24. Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
    25. Thomas S. Coe & Kittipong Laosethakul, 2021. "Applying Technical Trading Rules to Beat Long-Term Investing: Evidence from Asian Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 587-611, December.
    26. Lubnau, Thorben & Todorova, Neda, 2015. "Trading on mean-reversion in energy futures markets," Energy Economics, Elsevier, vol. 51(C), pages 312-319.
    27. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    28. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    29. Chung-Chih Liao, 2017. "Momentum Trading, Contrarian Trading and Smart Money Manipulation," International Business Research, Canadian Center of Science and Education, vol. 10(2), pages 53-62, February.
    30. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    31. Sadique, Shibley & Silvapulle, Param, 2001. "Long-Term Memory in Stock Market Returns: International Evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(1), pages 59-67, January.
    32. Perry Sadorsky, 2021. "A Random Forests Approach to Predicting Clean Energy Stock Prices," JRFM, MDPI, vol. 14(2), pages 1-20, January.
    33. Saulius Masteika & Aleksandras Vytautas Rutkauskas, 2012. "Research on futures trend trading strategy based on short term chart pattern," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(5), pages 915-930, June.
    34. Baur, Dirk G. & Cahill, Daniel & Godfrey, Keith & (Frank) Liu, Zhangxin, 2019. "Bitcoin time-of-day, day-of-week and month-of-year effects in returns and trading volume," Finance Research Letters, Elsevier, vol. 31(C), pages 78-92.
    35. Chen, Zhongdong & Schmidt, Adam & Wang, Jin’ai, 2021. "Retail investor risk-seeking, attention, and the January effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    36. Wang, Lijun & An, Haizhong & Liu, Xiaojia & Huang, Xuan, 2016. "Selecting dynamic moving average trading rules in the crude oil futures market using a genetic approach," Applied Energy, Elsevier, vol. 162(C), pages 1608-1618.
    37. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.
    38. Clifford S. Asness & Tobias J. Moskowitz & Lasse Heje Pedersen, 2013. "Value and Momentum Everywhere," Journal of Finance, American Finance Association, vol. 68(3), pages 929-985, June.
    39. Zaremba, Adam & Mikutowski, Mateusz & Szczygielski, Jan Jakub & Karathanasopoulos, Andreas, 2021. "The alpha momentum effect in commodity markets," Energy Economics, Elsevier, vol. 93(C).
    40. Bessembinder, Hendrik & Chan, Kalok, 1995. "The profitability of technical trading rules in the Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 257-284, July.
    41. Thomas Gehrig & Lukas Menkhoff, 2006. "Extended evidence on the use of technical analysis in foreign exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 327-338.
    42. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    43. Dai, Zhifeng & Zhang, Xiaotong, 2023. "Climate policy uncertainty and risks taken by the bank: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    44. Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    45. Dai, Zhifeng & Zhu, Haoyang, 2023. "Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 421-450.
    46. Czudaj, Robert L., 2019. "Crude oil futures trading and uncertainty," Energy Economics, Elsevier, vol. 80(C), pages 793-811.
    47. Yu, Hao & Nartea, Gilbert V. & Gan, Christopher & Yao, Lee J., 2013. "Predictive ability and profitability of simple technical trading rules: Recent evidence from Southeast Asian stock markets," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 356-371.
    48. Chien, Taichen & Hu, Jin-Li, 2007. "Renewable energy and macroeconomic efficiency of OECD and non-OECD economies," Energy Policy, Elsevier, vol. 35(7), pages 3606-3615, July.
    49. Novy-Marx, Robert, 2012. "Is momentum really momentum?," Journal of Financial Economics, Elsevier, vol. 103(3), pages 429-453.
    50. Mahler, Valentin & Girard, Robin & Kariniotakis, Georges, 2022. "Data-driven structural modeling of electricity price dynamics," Energy Economics, Elsevier, vol. 107(C).
    51. Dai, Zhifeng & Zhu, Haoyang, 2022. "Time-varying spillover effects and investment strategies between WTI crude oil, natural gas and Chinese stock markets related to belt and road initiative," Energy Economics, Elsevier, vol. 108(C).
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