Journals / Ege Akademik Bakış Dergisi / 2026 / Cilt: 17 Sayı: 3

Trade-Based Manipulation: The Case of Turkeyb

İşlem Bazlı Manipülasyon: Türkiye Örneği

Eray Gemici(Gaziantep Üniversitesi)
Mehmet Cihangir(Osmaniye Korkut Ata Üniversitesi)
Emre Yakut(Osmaniye Korkut Ata Üniversitesi)
Pages
369–380
Publication Date
2017-08-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of the study, according to the multiple logistic regression, all variables were found to be statistically significant; moreover, it was also found that daily return and volati

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study one of the manipulation types in the capital market, namely the trade-based manipulation was investigated.
📊
Key Findings & Data:Data set for the study was gathered from 273 manipulation cases which were examined with reference to the companies detected by SPK (Capital Markets Board) to have manipulated the markets and quoted in Borsa İstanbul (BIST) in the period between 2001-2014.
💡
Conclusion & Impact:As a result of the study, according to the multiple logistic regression, all variables were found to be statistically significant; moreover, it was also found that daily return and volati
🔬Design:Makale
📍Scope:2001-2014 Verileri
⚙️Variables:Işlem bazlı manipülasyon · Sermaye piyasası · Çoklu lojistik regresyon

Abstract

In this study one of the manipulation types in the capital market, namely the trade-based manipulation was investigated. Data set for the study was gathered from 273 manipulation cases which were examined with reference to the companies detected by SPK (Capital Markets Board) to have manipulated the markets and quoted in Borsa İstanbul (BIST) in the period between 2001-2014. For the effect of manipulations by the companies, variables of daily return, trading volume, volatility and stock turnover rate were used. The process was classified as pre-manipulation period, manipulation period and post manipulation period. As a result of the study, according to the multiple logistic regression, all variables were found to be statistically significant; moreover, it was also found that daily return and volati

Özet

Bu çalışmada sermaye piyasası üzerinde gerçekleştirilen manipülasyon türlerinden olan işlem bazlı manipülasyon incelenmiştir. Çalışmanın veri seti 2001-2014 dönemi arasında Borsa Istanbul’da (BIST) kota olan ve SPK tarafından manipülasyon gerçekleştirdiği tespit edilen şirketlerden hareketle 273 manipülasyon vakası ele alınmıştır. Şirketler tarafından gerçekleştirilen manipülasyonun etkisine yönelik günlük bazda; getiri, işlem hacmi, volatilite ve pay senedi devir hızı değişkenleri kullanılmıştır. Sınıflandırma işlemi; manipülasyon öncesi, manipülasyon dönemi ve manipülasyon sonrası dönem dikkate alınarak gerçekleştirilmiştir. Çoklu lojistik regresyon analizi sonucunda değişkenlerin tamamının istatistiksel açıdan anlamlı olduğu tespit edilmiş ayrıca günlük getiri ve volatilite değişkenlerinin manipülasyon üzerinde daha çok etkiye sahip olduğu tespit edilmiştir

🔖

Cite This Article

Gemici, E., Cihangir, M., Yakut, E. (2017). Trade-Based Manipulation: The Case of Turkeyb. Ege Akademik Bakış Dergisi, Cilt: 17 Sayı: 3, 369–380. https://ajindex.com/articles/1476410

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (45)

  1. Aggarwal, R.K. ve Wu, G. (2006) “Stock Market
  2. Manipulations.” The Journal of Business, 79(4): 1915
  3. Akyol, A., ve Michayluk, D. (2007) “Is there closing price manipulation on the Istanbul Stock Exchange”
  4. Australian School of Business. Working Paper. Allen, F. ve Gale, D. (1992) “Stock-Price Manipulation”
  5. The Review of Financial Studies, 5(3): 503-529. Allen, F., ve Gorton, G. (1992) “Stock price manipulation, market microstructure and asymmetric information”
  6. European Economic Review, 36(2-3): 624-630. Alpar, R. (2013) Çok Değişkenli Istatistiksel Yöntemler.
  7. Baskı, Ankara, Detay Yayıncılık. Başar, A. ve Oktay, E. (2007) Uygulamalı Istatistik–I:
  8. Kısa Teorik Bilgiler ve Çözülmüş Problemler. Aktif Yayınları, 4. Baskı, Ankara. Chaturvedula, C., Bang, N. P., Rastogi, N., ve Kumar, S. (2015) “Price manipulation, front running and bulk trades: Evidence from India” Emerging Markets Review,: 26-45.
  9. Comerton-Forde, C. ve Putniņš, T. J. (2011) “Measuring closing price manipulation” Journal of Financial Intermediation, 20: 135-158.
  10. Comerton-Forde, C. ve Putniņš, T. J. (2014) “Stock Price
  11. Manipulation: Prevalence and Determinants” Review of Finance, 18(1): 23-66. Constable, P. (2011) “Ferocious Beast or Toothless
  12. Tiger? The Regulation of Stock Market Manipulation in Australia” Macquarie Journal of Business Law, (8): 78. de Brouwer, G. (2001) Hedge Funds in Emerging
  13. Markets. Cambridge University Press. Diaz, D., Theodoulidis, B., ve Sampaio, P. (2011)
  14. “Analysis of stock market manipulations using knowledge discovery techniques applied to intraday trade prices.” Expert Systems with Applications, 38(10): 12771.
  15. Felixson, K. ve Pelli, A. (1999) “Day end returns - Stock price manipulation.” Journal of Multinational Financial Management, 9(2): 95-127.
  16. Feng, Z., Rongqiu, C., ve Xinping, X. (2003) “Fractal character of stock price-volume relation and regulation of stock price manipulation” Fractals, 11(2): 181.
  17. Fischel, D. R. ve Ross, D. J. (1991) “Should the Law
  18. Prohibit “Manipulation” in Financial Markets?” Harvard Law Review, 105(2): 503-553. Gerard, B. ve Nanda, V. (1993) “Trading and Manipulation Around Seasoned Equity Offerings.”
  19. Journal of Finance, 48(1): 213-245. Hosmer, D. W. ve Lemeshow, S. (2000) Applied Logistic
  20. Regression. New York: John Wiley & Sons, Inc. Huang, Y. C., Chen, R. C., ve Cheng, Y. J. (2005) “Stock manipulation and its impact on market quality” working paper, National Kaohsiung First University of
  21. Science and Technology, Kaohsiung 811, Taiwan, ROC h ttp://www. finance. nsysu. edu. tw/SFM/14thSFM/ FullPapers/060. pdf. Huang, Y. C. ve Cheng, Y. J. (2013) “Stock manipulation and its effects: pump and dump versus stabilization.”
  22. Review of Quantitative Finance and Accounting, 44(4): 815. Imişiker, S. ve Taş, B. K. O. (2013) “Which firms are more prone to stock market manipulation?” Emerging Markets Review, 16: 119-130.
  23. Imişiker, S. ve Taş, B. K. O. (2014) “Wash Sales as a
  24. Stock Market Manipulation Tool” Available at SSRN Imişiker, S., Özcan, R., ve Taş, B. K. O. (2015) “Price manipulation by intermediaries.” Emerging Markets
  25. Finance and Trade, 51(4), 788-797. IOSCO (2000) “Investigating and Prosecuting Market Manipulation”
  26. Jarrow, R. A. (1992) “Market Manipulation, Bubbles,
  27. Corners, and Short Squeezes.” The Journal of Financial and Quantitative Analysis, 27(3): 311-336. Jiang, G., Mahoney, P. G., ve Mei, J. (2005) “Market manipulation: A comprehensive study of stock pools” Journal of Financial Economics, 77(1): 147-170.
  28. Kadıoğlu, E. (2014) “Borsa Istanbul’un Mikro
  29. Yapisindaki Değişikliklerin Gün Içi Getiri, Volatilite ve Kapaniş Fiyatina Etkisi”, Yayınlanmamış Doktora Tezi, Başkent Üniversitesi Sosyal Bilimler Enstitüsü. Kamışlı, M. ve Girginer, N. (2010) “Işlem Bazlı
  30. Manipülasyonun Istatistiksel Sınınflandırma Analizleriyle Belirlenmesi.” Istanbul University Econometrics & Statistics e-Journal, 11(1): 1-30. Khwaja, A. I. ve Mian, A. (2005) “Unchecked intermediaries: Price manipulation in an emerging stock market.” Journal of Financial Economics, 78(1): 241.
  31. Korsmo, C. (2014) “High-Frequency Trading: A
  32. Regulatory Strategy.” University of Richmond Law Review, 48(2). Küçükkocaoğlu, G. (2008a) “Intraday Stock Returns and Close End Price Manipulation in the Istanbul
  33. Stock Exchange” Frontiers in Finance and Economics. (1). Küçükkocaoğlu, G. (2008b) “Sıngle-Prıce Auctıon
  34. System For Istanbul Stock Exchange” Borsa Istanbul Review, 8(29): 75-91. Lo, A. W. ve Wang, J. (2000) “Trading volume: definitions, data analysis, and implications of portfolio theory.” Review of Financial Studies, 13(2), 257-300.
  35. Mei, J., Wu G. ve Zhou C. (2004) “Behavior based manipulation: theory and prosecution evidence” NYU Working paper.
  36. Öğüt, H., Doğanay, M. M., ve Aktaş, R. (2009) “Detecting stock-price manipulation in an emerging market: The case of Turkey.” Expert Systems with Applications, 36(9): 11949.
  37. Ozcan, R. (2011) “Strategic measures to prevent opening and closing price manipulation in stock markets” İktisat İşletme ve Finans, 26(306): 53-67.
  38. Özcan, R. (2013) “Hisse Senedi Piyasalarında
  39. Manipülasyon Stratejileri.” IMKB Dergisi, (49): 19-41. Özdamar, K. (2013) Paket Programlar Ile Istatiksel
  40. Veri Analizi 1. Genişletilmiş 9. Baskı, Eskişehir, Nisan Kitabevi. Serper, Ö. (2004) Uygulamalı Istatistik 2. 4. Baskı, Bursa, Ezgi Kitabevi.
  41. Parkinson, M. (1980) “The extreme value method for estimating the variance of the rate of return.” Journal of Business, 61-65.
  42. Roodposhti, F. R., Shams, M. F., ve Kordlouie, H. (2011)
  43. “Forecasting stock price manipulation in capital market.” World Academy of Science, Engineering and Technology, 80: 151-161. Turanlı, M. ve Güriş, S. (2015). Temel Istatistik. 5. Baskı,
  44. Istanbul, Der Yayınları.
  45. Kısa Teorik Bilgiler ve Çözülmüş Problemler. Aktif Yayınları, 4. Baskı, Ankara. Chaturvedula, C., Bang, N. P., Rastogi, N., ve Kumar, S. (2015) “Price manipulation, front running and bulk trades: Evidence from India” Emerging Markets Review,: 26-45.