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Does Sentiments Impact the Returns of Commodity Derivatives? An Evidence from Multi-commodity Exchange India

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  • Aneeta Elsa Simon
  • Manu K.S.

Abstract

The advancements in technology, increased accessibility to various modes and platforms of communication, and increased willingness on the part of participants to share their ideas/opinions has resulted in huge amounts of data on the World Wide Web, hence, easily available to impact decision-making. Furthermore, commodity prices are primarily driven by demand and supply, wherein such news is open to the cognitive thinking of individuals. Thus, using the principles of natural language processing, which combines concepts of linguistics, computer science and artificial intelligence, helps in improving the accuracy of price determination. Therefore, this article aims to examine the relationship between sentiments conveyed through various sources and the performance of India’s largest commodity market, multi-commodity exchange (MCX). The correlation and causation between sentiment scores extracted from such textual content and the daily returns of select commodity derivatives are analysed. The results show varying levels of significance of sentiments on the returns of commodity contracts and imply that there is an increased scope of using such unstructured content in the field of finance.

Suggested Citation

  • Aneeta Elsa Simon & Manu K.S., 2023. "Does Sentiments Impact the Returns of Commodity Derivatives? An Evidence from Multi-commodity Exchange India," Vision, , vol. 27(1), pages 79-92, February.
  • Handle: RePEc:sae:vision:v:27:y:2023:i:1:p:79-92
    DOI: 10.1177/09722629211004002
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    References listed on IDEAS

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    1. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    2. Nina Gotthelf & Matthias W. Uhl, 2019. "News Sentiment: A New Yield Curve Factor," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(1), pages 31-41, January.
    3. Gao, Zhenyu & Ren, Haohan & Zhang, Bohui, 2020. "Googling Investor Sentiment around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(2), pages 549-580, March.
    4. Jiancheng Shen & Mohammad Najand & Feng Dong & Wu He, 2017. "News and social media emotions in the commodity market," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 9(2), pages 148-168, July.
    5. Haiqiang Chen & Terence Tai Leung Chong & Yingni She, 2014. "A principal component approach to measuring investor sentiment in China," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 573-579, April.
    6. Zachary McGurk & Adam Nowak & Joshua C. Hall, 2020. "Stock returns and investor sentiment: textual analysis and social media," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(3), pages 458-485, July.
    7. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    8. Xianfang Su & Yong Li, 2020. "Dynamic sentiment spillovers among crude oil, gold, and Bitcoin markets: Evidence from time and frequency domain analyses," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-26, December.
    9. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    10. Rama Krishna Yelamanchili, 2019. "Impact of Consumer Sentiment on Defensive and Aggressive Stock Returns: Indian Evidence," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 109-114.
    11. Divya Aggarwal, 2017. "Exploring relation between Indian market sentiments and stock market returns," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 7(7), pages 147-159, July.
    12. Lorraine Rupande & Hilary Tinotenda Muguto & Paul-Francois Muzindutsi, 2019. "Investor sentiment and stock return volatility: Evidence from the Johannesburg Stock Exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1600233-160, January.
    13. Julien Chevallier & Mathieu Gatumel & Florian Ielpo, 2014. "Commodity markets through the business cycle," Quantitative Finance, Taylor & Francis Journals, vol. 14(9), pages 1597-1618, September.
    14. Darren Duxbury, 2015. "Behavioral finance: insights from experiments II: biases, moods and emotions," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 7(2), pages 151-175, November.
    15. Isita Mukherjee & Bhaskar Goswami, 2017. "The volatility of returns from commodity futures: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-23, December.
    16. Kuo-Kun Tseng & Regina Fang-Ying Lin & Hongfu Zhou & Kevin Jati Kurniajaya & Qianyu Li, 2018. "Price prediction of e-commerce products through Internet sentiment analysis," Electronic Commerce Research, Springer, vol. 18(1), pages 65-88, March.
    17. Divya Aggarwal, 2017. "Exploring Relation between Indian Market Sentiments and Stock Market Returns," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 7(7), pages 147-159.
    18. Huosong Xia & Yitai Yang & Xiaoting Pan & Zuopeng Zhang & Wuyue An, 2020. "Sentiment analysis for online reviews using conditional random fields and support vector machines," Electronic Commerce Research, Springer, vol. 20(2), pages 343-360, June.
    19. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    20. Yanhui Chen & Hanhui Zhao & Ziyu Li & Jinrong Lu, 2020. "A dynamic analysis of the relationship between investor sentiment and stock market realized volatility: Evidence from China," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-18, December.
    21. Doowon Ryu & Doojin Ryu & Heejin Yang, 2020. "Investor Sentiment, Market Competition, and Financial Crisis: Evidence from the Korean Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(8), pages 1804-1816, June.
    22. Sheung Yin Kevin Mo & Anqi Liu & Steve Y. Yang, 2016. "News sentiment to market impact and its feedback effect," Environment Systems and Decisions, Springer, vol. 36(2), pages 158-166, June.
    23. Mathieu Gatumel & Florian Ielpo, 2014. "Commodity Markets through the business cycle," Post-Print hal-01302479, HAL.
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