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This case captures the experience of the newly hired investigation officer (IO) at the SECP, who crafts a front running case focused on the ethical transgressions by equity trader and KATS operator, at a famous brokerage house named Mir Ali Chaudhary Securities (MAC) Securities and three traders at DICE in Pakistan. The case outlines the whole series of investigation event that took place, from the IO identifying the smoke to all the pieces of puzzle together to form collectively evidence of front running. The case outlines and probes students to think at each stage of investigation as to how to answer the general claims that insider trading should be legalized. All these questions are viewed from the perspective of Pakistan’s regulatory environment.

The authors use a descriptive case study methodology approach.

The investigation trial held Sidney and Aslam guilty, sentencing them to imprisonment and making them pay fine to the Securities Exchange Commission of Pakistan (SECP) worth Rs 5m and Rs 1m, respectively. Likewise, the three equity traders at DICE were sentenced to imprisonment and charged a fine of Rs. 1m each.

On March 21, 2018, Mr Sidney, the equity trader, Mr Aslam, a KATS operator at MAC Securities and three equity traders at DICE Securities (Pvt.) Ltd were convicted under Securities Act (2015) and Court of law. Sidney and Aslam were alleged of tipping off advance confidential information of their clients’ order to the three equity traders at DICE, whereas the three traders at DICE were alleged of trading shares based on the tipped information in their trading account before the MAC clients’ orders were filled.

This paper aims to provide a comprehensive conceptual framework and strong arguments with an intent to examine the stock market variables (predictors) indicating the money laundering (ML) and terrorism financing (FT) proceeds.

This paper provides a comprehensive review of ML/FT through the stock market across developed, developing and emerging jurisdictions, sheds light on the existing literature and critically evaluates the gap in the relevant studies. Moving forward, this paper develops the conceptual framework and formulates hypotheses to explore the empirical relationship.

This paper advocates and finds a basis to carry out much-needed empirical research between the ML/FT and stock market keeping in view the growing criminal cases in the developing countries. This paper suggests mining proxies from the publically available stock market data and the results of existing seminal research as variables of the study. These data and results carry information about the ML determinants. After developing hypothetical research providing concepts, this paper also finds that using a suitable methodology, preferable Bayesian logistic and linear regression models, it is possible to find the typologies and factors that can indicate and endorse the use of the stock market for ML/FT. Broadly, it is found that the significance of this study will be two-pronged: empirical development and policy implications.

This paper mainly focuses on the developing region, a newly emerging market and, peculiarly, a grey-listed region by the Financial Action Task Force (FATF).

In light of the existing literature and to the best of the researchers’ knowledge, this study will bring into focus the new age of the action research on the ML regime in the securities markets of the developing countries, hence, the emerging markets. Moreover, this research shall have a sheer significance for the policy measures on FATF recommendations on ML and FT, especially for the countries listed as “grey”.

The research based on comprehensive review will help in controlling the social behaviours aiding the proceeds of ML.

This research is extremely novel to the best of the researcher's knowledge.

This study aims to diagnose the global key contributors in the stock market manipulation studies during the past four decades.

The 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.

This 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.

The research only includes the Scopus database, however, incorporates 81% relevant study.

This study reckons that technology-based manipulations are emerging themes in this research field which invites the applied research to have productive outcomes.

The intriguing study incorporates a maximum number of the relevant literature and used a comprehensive technique for the selection of dataset in Scopus.