Developing an Effective Model for Detecting Trade-Based Market Manipulation

Developing an Effective Model for Detecting Trade-Based Market Manipulation

Author: Jose Joy Thoppan

Publisher: Emerald Group Publishing

Published: 2021-05-05

Total Pages: 86

ISBN-13: 1801173982

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Developing an Effective Model for Detecting Trade-Based Market Manipulation determines an appropriate model to help identify stocks witnessing activities that are indicative of potential manipulation through three separate but related studies.


Machine Learning for Algorithmic Trading

Machine Learning for Algorithmic Trading

Author: Stefan Jansen

Publisher: Packt Publishing Ltd

Published: 2020-07-31

Total Pages: 822

ISBN-13: 1839216786

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Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.


Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author: El Bachir Boukherouaa

Publisher: International Monetary Fund

Published: 2021-10-22

Total Pages: 35

ISBN-13: 1589063953

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This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.


Trading and Electronic Markets: What Investment Professionals Need to Know

Trading and Electronic Markets: What Investment Professionals Need to Know

Author: Larry Harris

Publisher: CFA Institute Research Foundation

Published: 2015-10-19

Total Pages: 94

ISBN-13: 1934667927

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The true meaning of investment discipline is to trade only when you rationally expect that you will achieve your desired objective. Accordingly, managers must thoroughly understand why they trade. Because trading is a zero-sum game, good investment discipline also requires that managers understand why their counterparties trade. This book surveys the many reasons why people trade and identifies the implications of the zero-sum game for investment discipline. It also identifies the origins of liquidity and thus of transaction costs, as well as when active investment strategies are profitable. The book then explains how managers must measure and control transaction costs to perform well. Electronic trading systems and electronic trading strategies now dominate trading in exchange markets throughout the world. The book identifies why speed is of such great importance to electronic traders, how they obtain it, and the trading strategies they use to exploit it. Finally, the book analyzes many issues associated with electronic trading that currently concern practitioners and regulators.


Geo-Spatial Knowledge and Intelligence

Geo-Spatial Knowledge and Intelligence

Author: Hanning Yuan

Publisher: Springer

Published: 2017-03-02

Total Pages: 644

ISBN-13: 9811039666

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The two volume proceedings of CCIS 698 and 699 constitutes revised selected papers from the 4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, held in Hong Kong, China, in November 2016. The total of 118 papers presented in these proceedings were carefully reviewed and selected from 311 submissions. The contributions were organized in topical sections named: smart city in resource management and sustainable ecosystem; spatial data acquisition through RS and GIS in resource management and sustainable ecosystem; ecological and environmental data processing and management; advanced geospatial model and analysis for understanding ecological and environmental processes; applications of geo-informatics in resource management and sustainable ecosystem.


Trading and Exchanges

Trading and Exchanges

Author: Larry Harris

Publisher: OUP USA

Published: 2003

Total Pages: 664

ISBN-13: 9780195144703

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Focusing on market microstructure, Harris (chief economist, U.S. Securities and Exchange Commission) introduces the practices and regulations governing stock trading markets. Writing to be understandable to the lay reader, he examines the structure of trading, puts forward an economic theory of trading, discusses speculative trading strategies, explores liquidity and volatility, and considers the evaluation of trader performance. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).


Corruption and Fraud in Financial Markets

Corruption and Fraud in Financial Markets

Author: Carol Alexander

Publisher: John Wiley & Sons

Published: 2020-06-22

Total Pages: 624

ISBN-13: 1119421772

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Identifying malpractice and misconduct should be top priority for financial risk managers today Corruption and Fraud in Financial Markets identifies potential issues surrounding all types of fraud, misconduct, price/volume manipulation and other forms of malpractice. Chapters cover detection, prevention and regulation of corruption and fraud within different financial markets. Written by experts at the forefront of finance and risk management, this book details the many practices that bring potentially devastating consequences, including insider trading, bribery, false disclosure, frontrunning, options backdating, and improper execution or broker-agency relationships. Informed but corrupt traders manipulate prices in dark pools run by investment banks, using anonymous deals to move prices in their own favour, extracting value from ordinary investors time and time again. Strategies such as wash, ladder and spoofing trades are rife, even on regulated exchanges – and in unregulated cryptocurrency exchanges one can even see these manipulative quotes happening real-time in the limit order book. More generally, financial market misconduct and fraud affects about 15 percent of publicly listed companies each year and the resulting fines can devastate an organisation's budget and initiate a tailspin from which it may never recover. This book gives you a deeper understanding of all these issues to help prevent you and your company from falling victim to unethical practices. Learn about the different types of corruption and fraud and where they may be hiding in your organisation Identify improper relationships and conflicts of interest before they become a problem Understand the regulations surrounding market misconduct, and how they affect your firm Prevent budget-breaking fines and other potentially catastrophic consequences Since the LIBOR scandal, many major banks have been fined billions of dollars for manipulation of prices, exchange rates and interest rates. Headline cases aside, misconduct and fraud is uncomfortably prevalent in a large number of financial firms; it can exist in a wide variety of forms, with practices in multiple departments, making self-governance complex. Corruption and Fraud in Financial Markets is a comprehensive guide to identifying and stopping potential problems before they reach the level of finable misconduct.


Liquidity, Markets and Trading in Action

Liquidity, Markets and Trading in Action

Author: Deniz Ozenbas

Publisher: Springer Nature

Published: 2022

Total Pages: 111

ISBN-13: 3030748170

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This open access book addresses four standard business school subjects: microeconomics, macroeconomics, finance and information systems as they relate to trading, liquidity, and market structure. It provides a detailed examination of the impact of trading costs and other impediments of trading that the authors call rictions It also presents an interactive simulation model of equity market trading, TraderEx, that enables students to implement trading decisions in different market scenarios and structures. Addressing these topics shines a bright light on how a real-world financial market operates, and the simulation provides students with an experiential learning opportunity that is informative and fun. Each of the chapters is designed so that it can be used as a stand-alone module in an existing economics, finance, or information science course. Instructor resources such as discussion questions, Powerpoint slides and TraderEx exercises are available online.


The Little Book of Market Manipulation

The Little Book of Market Manipulation

Author: Gregory J Durston

Publisher: Waterside Press

Published: 2020-01-29

Total Pages: 152

ISBN-13: 1909976733

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Market manipulation comes in many forms. For a wrong that some say started life with groups of men dressed in Bourbon uniforms spreading false information in cod French accents, the speed of change has accelerated dramatically in the modern era, via the Internet, novel forms of electronic communication, ultra-fast computer-generated trading, new types of financial instruments, and increased globalisation. This means that opportunities for carrying-out new forms of manipulation now exist on an exponential scale. Looks at the mechanisms, criminal and civil, to confront market manipulation, its enforcement regimes, legal and evidential rules and potential loopholes. Shows how every individual involved in market transactions can fall foul of the law if they do not ensure integrity in their dealings. The ‘tricks’ used by those seeking to benefit from this special category of fraud and the relationship of dedicated provisions to the general law is outlined, with key statutory provisions set out in an appendix. A valuable accompaniment to The Little Book of Insider Dealing (Waterside Press, 2018). An invaluable pocket guide and law primer. An essential guide for investors. With practical examples and decided cases. An up-to-date treatment of a fast-moving topic. Describes both criminal and regulatory regimes. Contents include Forms of Market Manipulation; Suspicion, Identification, Detection and Investigation; Obligations and Enforcement; Criminal Offences, Defences and Punishment; Regulatory Provisions and Penalties; Evidence; Acronyms; Select Bibliography; Key Statutory Provisions and Index.


Trade-Based Money Laundering

Trade-Based Money Laundering

Author: John A. Cassara

Publisher: John Wiley & Sons

Published: 2015-11-09

Total Pages: 260

ISBN-13: 1119078954

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Uncover the financial fraud that funds terrorist organizations Trade-Based Money Laundering is an authoritative examination of this burgeoning phenomenon, now coming under scrutiny in the War on Terror. This book walks you through the signs and patterns of trade-based money laundering (TBML) to help you recognize it when it occurs, and shows you how data and analytics can be used to detect it. You'll learn the common value transfer techniques including invoice fraud, over-and-under invoicing, and misrepresentation, and learn why analytic detection systems have yet to be implemented despite the existence of copious data. Case studies from around the world highlight the real-life implications of the concepts and processes presented in the text, giving you a first-hand view of the mechanisms at work inside this expanding illegal market. Trade-based money laundering uses trade to convert large quantities of illicit cash into less conspicuous assets or commodities to evade financial transparency laws and regulations. As an ideal funding mechanism for terrorist groups, the practice is getting more attention even as it increases in scale and spread. This book takes you deep inside TBML to better arm you against its occurrence. Learn the typical value transfer techniques of TBML Examine case studies detailing international examples Discover why institutions have failed to implement detection systems Explore ways in which analytics can identify TBML According to the U.S. State Department, TBML has reached staggering proportions in recent years, and is considered by many to be the next frontier of international money laundering enforcement. Trade-Based Money Laundering gives you a battle plan, with expert insight and real-world guidance.