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Assessing four decades of global research studies on stock market manipulations: a sceintometric analysis

Assessing four decades of global research studies on stock market manipulations: a sceintometric... This study aims to diagnose the global key contributors in the stock market manipulation studies during the past four decades.Design/methodology/approachThe database search is based on the terms used in the existing body of knowledge. Using the bibliometric tools and techniques on the Scopus database, the study assessed and analysed the productivity of research studies, as well as the influence of the authors, publications, journals, affiliated institutions and countries.FindingsThis paper finds the USA as the leading country investigating this area, almost capturing 40% of the research studies in finance, moreover, a huge number of co-authors. Financial crises in the late 1990s and 2008 is observed as one of the main reasons for this intriguing research. The Journal of Finance is spotted as the most persuasive journal with the highest cite score and an unprecedented number of citations. The analysis of keywords engendered that most of the stock market manipulation studies are event-based studies. Seminally unique scientometric analysis revealed that the significance of stock market manipulation was mainly captured by event-based studies, insider trading and pump and dump schemes studies. However, much remained untapped to articulate the bridging scope of technology and media with stock market behaviour and manipulations.Research limitations/implicationsThe research only includes the Scopus database, however, incorporates 81% relevant study.Practical implicationsThis study reckons that technology-based manipulations are emerging themes in this research field which invites the applied research to have productive outcomes.Originality/valueThe intriguing study incorporates a maximum number of the relevant literature and used a comprehensive technique for the selection of dataset in Scopus. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Financial Crime Emerald Publishing

Assessing four decades of global research studies on stock market manipulations: a sceintometric analysis

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1359-0790
eISSN
1359-0790
DOI
10.1108/jfc-08-2020-0163
Publisher site
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Abstract

This study aims to diagnose the global key contributors in the stock market manipulation studies during the past four decades.Design/methodology/approachThe database search is based on the terms used in the existing body of knowledge. Using the bibliometric tools and techniques on the Scopus database, the study assessed and analysed the productivity of research studies, as well as the influence of the authors, publications, journals, affiliated institutions and countries.FindingsThis paper finds the USA as the leading country investigating this area, almost capturing 40% of the research studies in finance, moreover, a huge number of co-authors. Financial crises in the late 1990s and 2008 is observed as one of the main reasons for this intriguing research. The Journal of Finance is spotted as the most persuasive journal with the highest cite score and an unprecedented number of citations. The analysis of keywords engendered that most of the stock market manipulation studies are event-based studies. Seminally unique scientometric analysis revealed that the significance of stock market manipulation was mainly captured by event-based studies, insider trading and pump and dump schemes studies. However, much remained untapped to articulate the bridging scope of technology and media with stock market behaviour and manipulations.Research limitations/implicationsThe research only includes the Scopus database, however, incorporates 81% relevant study.Practical implicationsThis study reckons that technology-based manipulations are emerging themes in this research field which invites the applied research to have productive outcomes.Originality/valueThe intriguing study incorporates a maximum number of the relevant literature and used a comprehensive technique for the selection of dataset in Scopus.

Journal

Journal of Financial Crime – Emerald Publishing

Published: Aug 5, 2021

Keywords: Financial crime; Insider trading; Bibliometric anlaysis; Pump and dump; Stock market manipulation; VoS viewer

References

  • The challenges of detection and enforcement of insider trading
    Adams, B.J.; Perry, T.; Mahoney, C.
  • Social media sentiment and market behavior
    Affuso, E.; Lahtinen, K.D.
  • Closing call auctions and liquidity
    Aitken, M.; Comerton-Forde, C.; Frino, A.
  • Comparing bibliometric analysis using PubMed, scopus, and web of science databases
    AlRyalat, S.A.S.; Malkawi, L.W.; Momani, S.M.
  • Corporate insider trading in Europe
    Aussenegg, W.; Jelic, R.; Ranzi, R.
  • When insider trading and market manipulation cross jurisdictions: what are the challenges for securities regulators and how can they best preserve the integrity of markets?
    Austin, J.E.
  • Using privileged information to manipulate markets: insiders, gurus, and credibility
    Benabou, R.; Laroque, G.
  • Aggregate insider trading and market returns: the role of transparency
    Brochet, F.
  • The ‘celebrities’ in finance: a citation analysis of finance journals
    Calma, A.
  • A hidden markov model with abnormal states for detecting stock price manipulation
    Cao, Y.; Li, Y.; Coleman, S.; Belatreche, A.; McGinnity, T.M.
  • Market transparency and closing price behavior on month-end days: evidence from Taiwan
    Chan, S.H.; Huang, Y.C.; Lin, S.M.
  • Bibliometric analysis of financial crisis research
    Chang, C.; Ho, Y.
  • The random walk theory and stock prices: evidence from Johannesburg stock exchange
    Chitenderu, T.T.; Maredza, A.; Sibanda, K.
  • Understanding bibliometric parameters and analysis
    Choudhri, A.F.; Siddiqui, A.; Khan, N.R.; Cohen, H.L.
  • Stock price manipulation: prevalence and determinants
    Comerton-Forde, C.; Putniņš, T.J.
  • Closing time the effects of closing mechanism and design on market quality ∗
    Cordi, N.; Félez-Vinas, E.; Foley, S.; Putninš, T.
  • Behavioral economics and behavioral finance: a bibliometric analysis of the scientific fields
    Costa, D.F.; Carvalho, F. D M.; Moreira, B. C. D M.
  • Social media as an information source in finance: evidence from the community of financial market professionals in Poland
    Cwynar, A.; Cwynar, W.; Pater, R.; Filipek, K.
  • Do price limits help control stock price volatility?
    Danışoğlu, S.; Güner, Z.N.
  • Human resources training: a bibliometric analysis
    Danvila-del-Valle, I.; Estévez-Mendoza, C.; Lara, F.J.
  • Three hundred years of stock market manipulations
    Fama, E.F.; Mccormick, R.R.
  • A literature review of technical analysis on stock markets
    Farias Nazário, R.T.; e Silva, J.L.; Sobreiro, V.A.; Kimura, H.
  • Thirty years of entrepreneurship research published in top journals: analysis of citations, co-citations and themes
    Ferreira, M.P.; Reis, N.R.; Miranda, R.
  • Knowledge management: a global examination based on bibliometric analysis
    Gaviria-Marin, M.; Merigó, J.M.; Baier-Fuentes, H.
  • What causes stock market volatility in Pakistan? Evidence from the field
    Ghufran, B.; Awan, H.M.; Khakwani, A.K.; Qureshi, M.A.
  • Time series contextual anomaly detection for detecting market manipulation in stock market
    Golmohammadi, K.; Zaiane, O.R.
  • Detecting stock market manipulation using supervised learning algorithms
    Golmohammadi, K.; Zaiane, O.R.; Diaz, D.
  • Emotions in the stock market
    Griffith, J.; Najand, M.; Shen, J.
  • The manipulation of closing prices
    Hillion, P.; Suominen, M.
  • Stock manipulation and its effects: pump and dump versus stabilization
    Huang, Y.C.; Cheng, Y.J.
  • Trading networks, abnormal motifs and stock manipulation
    Jiang, Z.Q.; Xie, W.J.; Xiong, X.; Zhang, W.; Zhang, Y.J.; Zhou, W.X.
  • Market manipulation and the role of insider trading regulations
    John, K.; Narayanan, R.
  • The enforcement of financial market crimes in Canada and the United Kingdom
    Jordan, J.J.; Rand, D.G.
  • Closing price manipulation in borsa Istanbul and the impact of call auction sessions
    Kadioglu, E.; Küçükkocaoʇlu, G.; Kiliç, S.
  • Capital market offenses in Malaysia
    Kan, Y.Y.
  • Price manipulation fraud detection by intelligent visual fraud surveillance system
    Kasgari, A.B.; Management, F.; Tabataba, A.
  • International equity portfolio investment and enforcement of insider trading laws: a cross-country analysis
    Kwabi, F.O.; Boateng, A.; Adegbite, E.
  • Stock price manipulation detection using generative adversarial networks
    Leangarun, T.; Tangamchit, P.; Thajchayapong, S.
  • The detection of fraud activities on the stock market through forward analysis methodology of financial discussion boards
    Lee, P.S.; Owda, M.; Crockett, K.
  • Comparing bibliometric statistics obtained from theWeb of science and scopus éric
    Liu, X.
  • Emerging markets
    Lucey, B.M.; Dowling, M.
  • Learning unfair trading: a market manipulation analysis from the reinforcement learning perspective
    Martínez-Miranda, E.; McBurney, P.; Howard, M.J.W.
  • A new method of measuring stock market manipulation through structural equation modeling (SEM)
    Maxim, M.R.; Ashif, A.S.M.
  • Bibliometric analysis in financial research
    Merigo, J.M.; Yang, J.B.
  • The journal coverage of web of science and scopus: a comparative analysis
    Mongeon, P.; Paul-Hus, A.
  • The role of stock market trading systems in world economy and financial globalization
    Mukhamedov, F.
  • Trade-based manipulation: beyond the prosecuted cases
    Neupane, S.; Rhee, S.G.; Vithanage, K.; Veeraraghavan, M.
  • Detecting stock-price manipulation in an emerging market: the case of Turkey
    Öǧüt, H.; Mete Doǧanay, M.; Aktaş, R.
  • Half century of academic production in capital market in Brazil in high impact journals
    Pinheiro, J.L.; Tomaz, C.M.; Bueno, N.X.; Silva, W.A.C.
  • Information extraction of regulatory enforcement actions: from anti-money laundering compliance to countering terrorism finance
    Plachouras, V.; Leidner, J.L.
  • ANN-GA based model for stock market surveillance
    Punniyamoorthy, M.; Thoppan, J.J.
  • Stocks’ prices manipulation around national elections? An event study for the case of Greek banking sector
    Repousis, S.
  • Pump-Dump manipulation analysis: the influence of market capitalization and its impact on stock price volatility at Indonesia stock exchange
    Riyanto, A.; Arifin, Z.
  • Social media and stock price reaction to data breach announcements: evidence from US listed companies
    Rosati, P.; Deeney, P.; Cummins, M.; Van der Werff, L.; Lynn, T.
  • Closing price manipulation in Indonesia stock market and impact of the implementation of Pre-Closing
    Saputra, A.H.; Prijadi, R.
  • Stock market manipulation: a comparative analysis of East Asian emerging and developed financial markets
    Shah, S.Q.; Ismail, I.; Bin Shahrin, A.R.
  • Detect colluded stock manipulation via clique in trading network
    Shi, F.B.; Sun, X.Q.; Shen, H.W.; Cheng, X.Q.
  • Buying on rumors: how financial news flows affect the share price of tesla
    Strauss, N.; Smith, C.H.
  • The relationship between twitter and stock prices. Evidence from the US technology industry
    Teti, E.; Dallocchio, M.; Aniasi, A.
  • The recent financial crisis and its impact on the performance indicators of selected countries during the crisis period: a reply
    Thalassinos, I.; Pintea, M.; Raţiu, I.
  • New frontiers in stock market related behavior: a bibliometric analysis Mohammad Khalid Azam
    Venkateshwarlu, M.
  • Fleeting orders and dynamic trading strategies: evidence from the Australian security stock exchange (ASX)
    Viljoen, T.; Westerholm, J.; Zheng, H.; Gerace, D.
  • Financial market manipulation: how to identify the mechanisms?
    Vlad, A.
  • The determinants of trading volume distribution: evidence from globally cross-listed stocks
    Wang, J.; Zhou, H.
  • Characterising trader manipulation in a limit-order driven market
    Withanawasam, R.M.; Whigham, P.A.; Crack, T.F.
  • Data analytic approach for manipulation detection in stock market
    Zhai, J.; Cao, Y.; Ding, X.
  • Data analytic approach for manipulation detection in stock market
    Zhai, J.; Cao, Y.; Ding, X.
  • Knowledge mapping analysis of ebola research
    Zhao, X.Y.; Sheng, L.; Diao, T.X.; Zhang, Y.; Wang, L.; Yanjun, Z.