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Benford’s Law and Stock Market—The Implications for Investors: The Evidence from India Nifty Fifty

Author

Listed:
  • M. Jayasree
  • C. S. Pavana Jyothi
  • P. Ramya

Abstract

Benford’s law which is also known as first digit law states that data follow a certain frequency. This law was applied to accounting by Nigrini (2012, Benford’s Law: Applications for forensic accounting, auditing, and fraud detection [Vol. 586], John Wiley & Sons) and later on, an exhaustive study was carried out by Amiram, Bozanic, and Rouen (2015, Review of Accounting Studies , 20 (4), 1540–1593) to explore the applicability of the law to detect accounting frauds which was proven to be working. The literature has substantial evidence on relationship between accounting numbers and stock returns. The application of Benford’s law to stock trade and returns was explored and it was found that stock trade that included volume, number of trades, and turnover confirmed the distribution but stock returns did not conform the distribution (Jayasree, 2017, Jindal Journal of Business Research , 6 (2), 172–186). In this context, the present study attempts to understand its implications to investors by examining the three-day moving average of stock prices and volatility volume by using Chainkin money flow during announcement and post-announcement period of observation. The study also examines whether stocks conforming the distribution and stocks not conforming the distribution are significantly different in buying and selling.

Suggested Citation

  • M. Jayasree & C. S. Pavana Jyothi & P. Ramya, 2018. "Benford’s Law and Stock Market—The Implications for Investors: The Evidence from India Nifty Fifty," Jindal Journal of Business Research, , vol. 7(2), pages 103-121, December.
    • Handle: RePEc:sae:jjlobr:v:7:y:2018:i:2:p:103-121
    DOI: 10.1177/2278682118777029
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    References listed on IDEAS

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    1. Dorogovtsev, S.N. & Mendes, J.F.F. & Oliveira, J.G., 2006. "Frequency of occurrence of numbers in the World Wide Web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 548-556.
    2. Juan Miguel Campanario & María Angeles Coslado, 2011. "Benford’s law and citations, articles and impact factors of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 421-432, August.
    3. Ausloos, M. & Herteliu, C. & Ileanu, B., 2015. "Breakdown of Benford’s law for birth data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 736-745.
    4. Jacek Welc, 2014. "Impact of Earnings Smoothness on Stock Prices, Stock Returns and Future Earnings Changes - the Polish Experience," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2014(3), pages 67-94.
    5. Binder, John J, 1998. "The Event Study Methodology since 1969," Review of Quantitative Finance and Accounting, Springer, vol. 11(2), pages 111-137, September.
    6. David Giles, 2007. "Benford's law and naturally occurring prices in certain ebaY auctions," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 157-161.
    7. Tariq Ahmad Mir & Marcel Ausloos & Roy Cerqueti, 2014. "Benford's law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions," Papers 1410.2890, arXiv.org.
    8. Scott Pirie & Malcolm Smith, 2008. "Stock prices and accounting information: evidence from Malaysia," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 16(2), pages 109-133, July.
    9. Leo Egghe & Raf Guns, 2012. "Applications of the generalized law of Benford to informetric data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(8), pages 1662-1665, August.
    10. John Capstaff & Audun Klæboe & Andrew P. Marshall, 2004. "Share Price Reaction to Dividend Announcements: Empirical Evidence on the Signaling Model from the Oslo Stock Exchange," Multinational Finance Journal, Multinational Finance Journal, vol. 8(1-2), pages 115-139, March-Jun.
    11. George Judge & Laura Schechter, 2009. "Detecting Problems in Survey Data Using Benford’s Law," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    12. Leo Egghe & Raf Guns, 2012. "Applications of the generalized law of Benford to informetric data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1662-1665, August.
    13. Farber, Henry S. & Hallock, Kevin F., 2009. "The changing relationship between job loss announcements and stock prices: 1970-1999," Labour Economics, Elsevier, vol. 16(1), pages 1-11, January.
    14. Amustafa Kemal Yilmaz & Guzhan Gulay, 2006. "Dividend Policies and Price-Volume Reactions to Cash Dividends on the Stock Market: Evidence from the Istanbul Stock Exchange," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 42(4), pages 19-49, July.
    15. Kumar, Satish, 2017. "New evidence on stock market reaction to dividend announcements in India," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 327-337.
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