A Case Study of Stock Market Bubbles in the Indian Stock Market
DOI:
https://doi.org/10.17010/ijf/2021/v15i2/157638Keywords:
Stock Market
, Crash, Nifty, Durable Competitive Advantage.JEL Classification
, G01, G10, G11, G40, G15.Paper Submission Date
, January 3, 2020, Paper Sent Back for Revision, October 14, Paper Acceptance Date, December 13, 2020.Abstract
This paper's objective was to analyze various stock market crashes to identify the stocks that offered a durable competitive advantage. To do so, stock market data were analyzed from January 2001 – December 2018, and it was found that Nifty observed 10 major crashes during this period. After identifying the stocks that outperformed or performed moderately during the crisis, the compounded annual growth rate (CAGR) was computed for them. The results exhibited that the stocks that survived the market crashes had high CAGR and were considered stocks with a durable competitive advantage (DCA). The results exhibited that in India, stocks with DCA belonged to consumer goods, pharma and healthcare, and financial services sector. The present paper underlined the sectors in the Indian market, which are relatively immune to economic downturns and provided a cushion of safety compared to their other sector equivalents. The paper presented indicators for investors to identify stocks with DCA.Downloads
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Buffett, M., & Clark, D. (2008). Warren Buffett and the interpretation of financial statements : The search for the company with a durable competitive advantage. Scribner.
Chiang, T. C., & Zheng, D. (2010). An empirical analysis of herd behavior in global stock markets. Journal of Banking & Finance, 34(8), 1911–1921. https://doi.org/10.1016/j.jbankfin.2009.12.014
Chiang, T.C., Tan, L., Li, J., & Nelling, E. (2013). Dynamic herding behavior in Pacific-Basin markets: Evidence and implications. Multinational Finance Journal, 17(3/4), 165-200. https://doi.org/10.17578/17-3/4-3
Christie, W. G., & Huang, R. D. (1995). Following the pied piper : Do individual returns herd around the market ? Financial Analysts Journal, 51(4), 31-37. https://doi.org/10.2469/faj.v51.n4.1918
Galbraith, J. (1988). The great crash, 1929 (pp. xii-xvii). Houghton Mifflin Co.
Ganesh, R., Naresh, G., & Thiyagarajan, S. (2016).Industry herding behaviour in Indian stock market. American Journal of Finance and Accounting, 4(3/4), 284-308. http://dx.doi.org/10.1504/AJFA.2016.080734
Grinblatt, M., Titman, S., & Wermers, R. (1995). Momentum investment strategies, portfolio performance, and herding : A study of mutual fund behavior. The American Economic Review, 85(5), 1088-1105. https://www.jstor.org/stable/2950976
Jayadev, M., Sathish, M., & Subash, R. (2009). Predicting stock market crashes. Tejas@IIMB. https://tejas.iimb.ac.in/articles/05.php
Jones, S. (2008, October 10). FTSE 100 crash. Financial Times Alphaville. https://ftalphaville.ft.com/2008/10/10/16897/ftse-crash/
Jose, B., Varghese, J., & Surendran, A. (2018). Investors’ herding in Indian stock market : An empirical analysis. IOSR Journal of Business and Management, 20(1), 76–86. http://www.iosrjournals.org/iosrjbm/papers/Vol20-issue1/Version-4/M2001047686.pdf
Ketan Parekh still 'active' in market, ramping up stocks : IB report. (2010, December 02). The Economic Times. https://economictimes.indiatimes.com/ketan-parekh-still-active-in-market-ramping-up-stocks-ibreport/ articleshow/7026357.cms
Khan, H., Hassairi, S.A., & Viviani, J. - L. (2011). Herd behavior and market stress : The case of four European countries. International Business Research, 4(3), 53-67. http://dx.doi.org/10.5539/ibr.v4n3p53
Kim, W., & Wei, S. - J. (2001). Offshore investment funds : Monsters in emerging markets ? http://dx.doi.org/10.2139/ssrn.1009446
Lakshman, M.V., Basu, S., & Vaidyanathan, R. (2013). Market-wide herding and the impact of institutional investors in the Indian capital market. Journal of Emerging Market Finance, 12(2), 197–237. https://doi.org/10.1177/0972652713494046
Lao, P., & Singh, H. (2011). Herding behaviour in the Chinese and Indian stock markets. Journal of Asian Economics, 22(6), 495-506. https://doi.org/10.1016/j.asieco.2011.08.001
Lindhe, E. (2012). Herd behavior in stock markets: A Nordic study (Master’s thesis). Department of Economics, Lund University, Lund. https://lup.lub.lu.se/luur/download?fileOId=3046946&func=downloadFile&recordOId=3046944
Mishra, P.K., Das, K.B., & Pradhan, B.B. (2010). Global financial crisis and stock market volatility in India. Indian Journal of Finance, 4(6), 21-26.
My, T. N., & Truong, H.H. (2011). Herding behaviour in an emerging stock market : Empirical evidence from Vietnam. Research Journal of Business Management, 5(2), 51-76. http://dx.doi.org/10.3923/rjbm.2011.51.76
Nagendra, S., Kumar, S., & Jayashree. (2018). Implications and usefulness of fundamental and technical analysis in stock market decision making. Indian Journal of Finance, 12 (5), 54–71. http://dx.doi.org/10.17010/ijf/2018/v12i5/123702
Nifty plunges 900 points on ‘flash crash’; NSE to probe. (2012, October 05). The Hindu Business Line. https://www.thehindubusinessline.com/markets/stock-markets/nifty-plunges-900-points-on-flashcrash nse-to-probe/article20511044.ece
NSE. (n.d.). Statistics. https://www1.nseindia.com/
Prosad, J. M., Kapoor, S., & Sengupta, J. (2012). An examination of herd behavior: An empirical evidence from Indian equity market. International Journal of Trade, Economics and Finance, 3(2), 154–157. http://dx.doi.org/10.7763/IJTEF.2012.V3.190
Raut, R.K., & Das, N. (2015). Behavioral prospects of individual investor decision making process : A review. Indian Journal of Finance, 9(4), 44-55. https://doi.org/10.17010/ijf/2015/v9i4/71457
Varma, T. (2011). Ringfence your portfolio. Money Today. https://www.businesstoday.in/moneytoday/coverstory/ defensive-stocks-can-help-tide-over-market-volatility/story/17260.html
Yousaf, I., Ali, S., & Shah, S.Z.A. (2018).Herding behavior in Ramadan and financial crises : The case of the Pakistani stock market. Financial Innovation, 4, 16. https://doi.org/10.1186/s40854-018-0098-9
