Skip to main content
Log in

Stock manipulation and its effects: pump and dump versus stabilization

  • Original Research
  • Published:
Review of Quantitative Finance and Accounting Aims and scope Submit manuscript

Abstract

This study examines the manipulation of stock prices in Taiwan stock markets. Using a new set of hand-collected data, we examine the characteristics and patterns of manipulated stocks and their effects on the market. Our results show that manipulated firms tend to be small and to have poor corporate governance. Most manipulation cases involve a “pump-and-dump” trading strategy and stabilization operations. Pump-and-dump manipulations lead to high temporary price impacts, increased volatility, large trading volumes, short-term price continuation, and long-term price reversals during the manipulation period. They therefore have an important impact on market efficiency. In stabilization cases, the manipulation has no impact on market performance, except that the price drop and abnormal returns of the post-manipulation period are significantly lower than during the pre-manipulation period. Firm fundamentals are important in deciding the price impacts of stock manipulation. Compared with manipulated firms with positive fundamentals, the manipulation of firms with negative fundamentals has a more detrimental effect on market efficiency.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. See http://law.moj.gov.tw/Eng/LawClass/LawSearchNo.aspx?PC=G0400001&DF=&SNo=155.

  2. Article 155-5 prohibits the following:

    To effect either alone or with more other persons any series of transactions for the purchase and/or sale of any security without the permission of government rules or regulations for the purpose of pegging, fixing, or stabilizing the price on said securities traded on the security exchange.

  3. Overall, of the 118 prosecuted cases in our study, 77 % were judged guilty in the first sentence.

  4. The LAWBANK database contains information about all the laws, regulations, and civil and criminal cases brought forward by the Judicial Yuan of Taiwan, from 1911 to the present.

  5. Stabilization is a form of manipulation with the intent of pegging, fixing, or stabilizing the price on any security traded on the security exchange. Such manipulations are usually carried out by corporate insiders.

  6. The TEJ database is the largest financial database in Taiwan. It contains complete financial and market data for all securities traded on the TWSE and OTC in Taiwan.

  7. Manipulation cases are announced only after prosecution, which is usually 2 or 3 years after the manipulation period and therefore does not overlap with this study’s post-manipulation period.

  8. We also conduct an analysis that eliminates the four information-based manipulation cases; the results, not shown here for brevity, are similar to those for the original sample. The results are available upon request.

  9. We also calculate the Garman–Klass (1980) volatility measure and produce qualitatively similar results.

  10. Because the average manipulation period is 92 days, we choose 100 days to measure temporary price impacts for comparison. In addition, Fig. 1 shows that it takes nearly 100 days for the market to absorb a manipulation event.

References

  • Aggarwal R, Wu G (2006) Stock market manipulations. J Bus 79:1915–1953

    Article  Google Scholar 

  • Allen F, Gale D (1992) Stock price manipulation. Rev Financ Stud 5:503–529

    Article  Google Scholar 

  • Allen F, Gorton G (1992) Stock price manipulation, market microstructure and asymmetric information. Eur Econ Rev 36:624–630

    Article  Google Scholar 

  • Allen F, Litov L, Mei J (2006) Large investors, price manipulation, and limits to arbitrage: an anatomy of market corners. Rev Financ 11:645–693

    Article  Google Scholar 

  • Amihud Y, Mendelson H, Lauterbach B (1997) Market microstructure and securities values: evidence from the Tel Aviv Stock Exchange. J Financ Econ 45:365–390

    Article  Google Scholar 

  • Bagnoli M, Lipman BL (1996) Stock price manipulation through takeover bids. RAND J Econ 27:124–147

    Article  Google Scholar 

  • Beasley MS (1996) An empirical analysis of the relation between the board of director composition and financial statement fraud. Acc Rev 71:443–465

    Google Scholar 

  • Benabou R, Laroque G (1992) Using privileged information to manipulate markets: insiders, gurus, and credibility. Q J Econ 107:921–958

    Article  Google Scholar 

  • Chow EH, Hung CW, Liu CS, Shiu CY (2013) Expiration day effects and market manipulation: evidence from Taiwan. Rev Quant Financ Acc 41:441–462

    Article  Google Scholar 

  • Comerton-Forde C, Putnins T (2011) Measuring closing price manipulation. J Financ Intermed 20:135–158

    Article  Google Scholar 

  • Farber DB (2005) Restoring trust after fraud: does corporate governance matter? Acc Rev 80:539–561

    Article  Google Scholar 

  • Gao Y, Oler D (2012) Rumors and pre-announcement trading: why sell target stocks before acquisition announcements? Rev Quant Financ Acc 39:485–508

    Article  Google Scholar 

  • Garman MB, Klass MJ (1980) On the estimation of security price volatility from historical data. J Bus 53:67–78

    Article  Google Scholar 

  • Huang YC, Chan SH (2011) A case study of illegal insider trading—the scandal of vultures’ insider trading. Rev Pac Basin Financ Markets Pol 14:81–99

    Article  Google Scholar 

  • Huang R, Stoll H (1996) Dealer versus auction markets: a paired comparison of execution costs on NASDAQ and the NYSE. J Financ Econ 41:313–357

    Article  Google Scholar 

  • Huang YC, Hou NW, Cheng YJ (2012) Illegal insider trading and corporate governance: evidence from Taiwan. Emerg Markets Financ Trade 48:6–22

    Article  Google Scholar 

  • Jarrow RA (1992) Market manipulation, bubbles, corners, and short squeezes. J Financ Quant Anal 27:311–336

    Article  Google Scholar 

  • Jiang G, Mahoney PG, Mei J (2005) Market manipulation: a comprehensive study of stock pools. J Financ Econ 77:147–170

    Article  Google Scholar 

  • Keim DB, Madhavan A (1996) The upstairs market for large-block transactions: analysis and measurement of price effects. Rev Financ Stud 9:1–36

    Article  Google Scholar 

  • Khwaja AI, Mian A (2005) Unchecked intermediaries: price manipulation in an emerging stock market. J Financ Econ 78:203–241

    Article  Google Scholar 

  • Kraus A, Stoll H (1972) Price impacts of block trading on the New York Stock Exchange. J Financ 27:569–588

    Article  Google Scholar 

  • Kyle A, Viswanathan S (2008) How to define illegal price manipulation. Am Econ Rev 98:274–279

    Article  Google Scholar 

  • Madhavan A, Cheng M (1997) In search of liquidity: block trades in the upstairs and downstairs markets. Rev Financ Stud 10:175–203

    Article  Google Scholar 

  • Mei J, Wu G, Zhou C (2004) Behavior based manipulation: theory and prosecution evidence. Working paper, New York University. SSRN Electr J. doi:10.2139/ssrn.457880

  • Merrick JJ, Naik NY, Yadav PK (2005) Strategic trading behavior and price distortion in a manipulated market: anatomy of a squeeze. J Financ Econ 77:171–218

    Article  Google Scholar 

  • Parkinson M (1980) The extreme value method for estimating the variance of the rate of return. J Bus 53:61–65

    Article  Google Scholar 

  • Qi B, Yang R, Tian G (2013) Can media deter management from manipulating earnings? Evidence from China. Rev Quant Financ Acc. doi:10.1007/s11156-013-0353-0

    Google Scholar 

  • Van Bommel J (2003) Rumors. J Financ 58:1499–1520

    Article  Google Scholar 

  • Vila JL (1989) Simple games of market manipulation. Econ Lett 29:21–26

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Chuan Huang.

Appendix

Appendix

See Table 7.

Table 7 Manipulated stock sample

Rights and permissions

Reprints and permissions

About this article

Cite this article

Huang, Y.C., Cheng, Y.J. Stock manipulation and its effects: pump and dump versus stabilization. Rev Quant Finan Acc 44, 791–815 (2015). https://doi.org/10.1007/s11156-013-0419-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11156-013-0419-z

Keywords

JEL Classification

Navigation