Stock Market Manipulation and Its Regulation

More than eighty years after federal law first addressed stock market manipulation, the federal courts remain fractured by disagreement and confusion concerning manipulation law\u27s most foundational issues. There remains, for example, a sharp split among the federal circuits concerning manipulation law\u27s central question: Whether trading activity alone can ever be considered illegal manipulation under federal law? Academics have been similarly confused-economists and legal scholars cannot agree on whether manipulation is even possible in principle, let alone on how to properly address it in practice

The New Stock Market: Sense and Nonsense

How stocks are traded in the United States has been totally transformed. Gone are the dealers on NASDAQ and the specialists at the NYSE. Instead, a company’s stock can now be traded on up to sixty competing venues where a computer matches incoming orders. High-frequency traders (HFTs) post the majority of quotes and are the preponderant source of liquidity in the new market. Many practices associated with the new stock market are highly controversial, as illustrated by the public furor following the publication of Michael Lewis’s book Flash Boys. Critics say that HFTs use their speed in discovering changes in the market and in altering their orders to take advantage of other traders. Dark pools – off-exchange trading venues that promise to keep the orders sent to them secret and to restrict the parties allowed to trade – are accused of operating in ways that injure many traders. Brokers are said to mishandle customer orders in an effort to maximize the payments they receive for sending trading venues their customers’ orders, rather than delivering best execution. In this Article, we set out a simple, but powerful, conceptual framework for analyzing the new stock market. The framework is built upon three basic concepts: adverse selection, the principal-agent problem, and a multivenue trading system. We illustrate the utility of this framework by analyzing the new market’s eight most controversial practices. The effects of each practice are evaluated in terms of the multiple social goals served by equity-trading markets. We ultimately conclude that there is no emergency requiring immediate, poorly considered action. Some reforms proposed by critics, however, are clearly desirable. Other proposed reforms involve a trade-off between two or more valuable social goals. In these cases, whether a reform is desirable may be unclear, but a better understanding of the trade-off involved enables a more informed choice and suggests areas in which further empirical research would be useful. Finally, still other proposed reforms are based on misunderstandings of the market or of the social impacts of a practice and should be avoided

Stock Market Manipulation and Its Regulation

More than eighty years after federal law first addressed stock market manipulation, federal courts remain fractured by disagreement and confusion about manipulation law\u27s most foundational questions. Only last year, plaintiffs petitioned the Supreme Court to resolve a sharp split among the federal circuits concerning manipulation law\u27s central question: whether trading activity alone can ever be considered illegal manipulation under federal law. Academics have been similarly confused economists and legal scholars cannot agree on whether manipulation is possible in principle; let alone on how, if it is, to address it properly in practice

High‐Frequency Trading and the New Stock Market: Sense And Nonsense

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142455/1/jacf12260.pd

High‐Frequency Trading and the New Stock Market: Sense And Nonsense

The stock market has been transformed during the last 25 years. Human suppliers of liquidity like the NASDAQ dealers and NYSE specialists have been replaced by algorithmic market making; stocks that once traded on a single venue now trade across twelve exchanges and a multitude of alternative trading systems. New venues like dark pools, and new participants like high‐frequency traders, have emerged to take on prominent roles. This new market has had more than its share of controversy and regulatory scrutiny, particularly in the wake of Michael Lewis’s bestseller Flash Boys. In this article, the authors analyze five of the most controversial new market practices, including various high‐frequency trading strategies and dark pool activities. They set out a simple conceptual framework based on adverse selection and agency problems, and apply that framework to assess the welfare effects of each of the five practices. While much that is criticized is indeed objectionable, other controversial practices are much more complex than popularly imagined and may in fact be socially desirable. They conclude by evaluating a range of potential reforms to equity market structure

Distributed Ledger Technology and the Securities Markets of the Future: A Stakeholder Survey

This Article evaluates the implications of distributed ledger technology (DLT) for the securities markets of the future and their regulation. DLT is an integral part of the larger revolution in computing, communication and data storage capacity that has transformed securities markets over the last few decades and promises further radical change in the years to come. The potential of DLT, if it can be realized, could improve the functioning of our securities markets while at the same time sharply reducing costs. Based on an interview survey of about 100 persons who play prominent roles in actually making these markets work or in regulating them, this Article reports on the most important topics and themes that have emerged from the wide range of interviewees’ opinions about the extent to which DLT will affect the future of securities markets and their regulation. A significant number saw the potential for DLT to transform securities markets and market structure, from the possibility of stock trading on DLT to the potential impact on intermediaries, the ordinary retail investor, and on preventing wrongdoing in the stock market. However, key questions remain about implementation and the appetite for making DLT-based changes among both market participants and regulators

Asymmetric Conditional Volatility in International Stock Markets

Recent studies show that a negative shock in stock prices will generate more volatility than a positive shock of similar magnitude. The aim of this paper is to appraise the hypothesis under which the conditional mean and the conditional variance of stock returns are asymmetric functions of past information. We compare the results for the Portuguese Stock Market Index PSI 20 with six other Stock Market Indices, namely the S&P 500, FTSE100, DAX 30, CAC 40, ASE 20, and IBEX 35. In order to assess asymmetric volatility we use autoregressive conditional heteroskedasticity specifications known as TARCH and EGARCH. We also test for asymmetry after controlling for the effect of macroeconomic factors on stock market returns using TAR and M-TAR specifications within a VAR framework. Our results show that the conditional variance is an asymmetric function of past innovations raising proportionately more during market declines, a phenomenon known as the leverage effect. However, when we control for the effect of changes in macroeconomic variables, we find no significant evidence of asymmetric behaviour of the stock market returns. There are some signs that the Portuguese Stock Market tends to show somewhat less market efficiency than other markets since the effect of the shocks appear to take a longer time to dissipate.Comment: 11 pages, 3 figure

Spoofing and its Regulation

Nearly a century after the United States enacted its first securities laws, urgent questions remain as to the scope of manipulation law: whether manipulation is possible in principle, and if so, how the law should respond in practice. Sharp disagreement among courts, economists, and legal scholars as to whether trading or quoting activity constitutes illegal manipulation has led to a legal framework that lacks precision and cogency. Moreover, the poorly articulated normative basis for court rulings has resulted in enforcement that is both under-inclusive and over-inclusive in ways that do a poor job of discouraging socially harmful transactions and enabling socially beneficial ones.  This Article seeks to clarify this confusion. Drawing on microstructure and financial economics, this Article offers a new understanding of a common kind of quote-driven manipulation, often referred to as “spoofing.” By employing an analytical and normative framework developed previously by two of the authors in assessing another major form of manipulation, trade-driven manipulation, this Article assesses the impact of spoofing on what occurs in the securities markets and carefully evaluates its effects on social welfare and economic efficiency. The result is a new understanding of quote-based manipulation that helps resolve essential questions in manipulation law and provides guidance for future regulation and enforcement.

Adaptive pairs trading strategy performance in Turkish derivatives exchange with the companies listed on Istanbul stock exchange

Due to copyright restrictions, the access to the full text of this article is only available via subscription.We implemented model-driven statistical arbitrage strategies in Turkish equities market. Trading signals are generated by optimized parameters of distance method. When the trade in signal is triggered by the model, market-neutral portfolio is created by long in the synthetic ETF, which is based on constrained least squares regression of selected Istanbul Stock Exchange stocks and short in Turkish Derivatives Exchange (Turkdex) index futures contract. We performed pairs trading strategy based on a comparative mean reversion of asset prices with daily data over the period February 2005 through July 2011 in Istanbul Stock Exchange (ISE) and Turkdex. We constructed a hypothetical ISE30 ETF Index on a daily basis in order to originate pairs trading strategy with Turkdex. Because of the leverage rule of (1–10) index futures contracts, we had to evaluate spot stock pairs formation with futures contracts pairs strategy. The results indicate that applied pairs strategy produced overall returns of 901 per cent during the investment period, whereas naive strategy (buy and hold ISE-30 index) return for the same period was 111 per cent. Similar outperformance was observed in the Sharpe and Sortino ratios