High Frequency Trading : Market Manipulation and Systemic Risks from an EU Perspective

2012 ◽  
Author(s):  
Diego Leis
Keyword(s):  
High Frequency ◽  
High Frequency Trading ◽  
Market Manipulation ◽  
Trading Market ◽  
Systemic Risks

scholarly journals The Flash Crash Of May 2010: Accident Or Market Manipulation?

2011 ◽  
Vol 9 (1) ◽  
Author(s):  
Chris Rose
Keyword(s):  
High Frequency ◽  
High Frequency Trading ◽  
Market Manipulation ◽  
Font Size ◽  
Wall Street ◽  
Flash Crash

<p class="MsoNormal" style="text-align: justify; line-height: normal; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt;">On May 6th., 2010, the Dow fell about a thousand points in a half hour and Wall Street lost $800 billion of value. Some claim that it was just an isolated incident and there was nothing nefarious but with the majority of trading being done by electronic exchanges and with the increase in High Frequency Trading, evidence is emerging that the crash just might have been a case of deliberate manipulations of the market.</span></p>

scholarly journals High‑Frequency Trading in the Modern Market Microstructure: Opportunities and Threats

2019 ◽  
Vol 7 (3) ◽  
pp. 25-36
Author(s):  
M. Zharikov
Keyword(s):  
Financial Markets ◽  
Financial Market ◽  
Market Microstructure ◽  
High Frequency ◽  
Financial Engineering ◽  
Market Design ◽  
High Frequency Trading ◽  
Optimal Trading ◽  
Trading Market ◽  
Long Run

The article covers some ideas about the research on high-frequency trading and financial market design. The topic is time-relevant because today there exists a need to convince traders that there is a simple structural floor in the way that the financial markets are designed. The article reveals the significance of trading on the floor that the foremost fundamental constraint is limited time. The author proves that time on the financial market feels, to some extent, infinite when someone counts it in millions of seconds, but time is nevertheless finite. The author then gets into the actual research on high-frequency trading in the financial market design. The motivation for this project is to analyse activity among high-frequency trading firms by which investments of substantial sums of money are understood as economically trivial speed improvements. The theoretical significance of the research’s outcomes lies in outlaying the systemic approach to dealing with stochastic control problems in the context of financial engineering. The practical relevance of the paper lies in the mechanism that allows solving problems surrounding optimal trading, market microstructure, high-frequency trading, etc. The article concludes by talking about the issues in the modern electronic markets and by giving lessons to dealing with them in the long run.

The Wild Side of the Street

2018 ◽  
Author(s):  
Louçã Francisco ◽  
Ash Michael
Keyword(s):  
Seventeenth Century ◽  
High Frequency ◽  
Bank Lending ◽  
High Frequency Trading ◽  
Market Manipulation ◽  
Rating Agencies ◽  
The World ◽  
European Colonization ◽  
Financial Scandals ◽  
History Of

Chapter 9 traces a history of bubbles and financial scandals from the Dutch tulip mania of the seventeenth century to frauds associated with European colonization of the Americas to financial misdeeds of the twentieth and twenty-first centuries. Dirty finance is everywhere. Sometimes it is the source of the funds: the world’s most reputable banks have handled funds from highly disreputable sources. In other cases, clean wealth goes through dirty handling. Offshore finance shelters the great family fortunes, at the edge of legality. High frequency trading blurs the line between quick wits and market manipulation. Cartels of traders enrich themselves at the expense of clients. The rating agencies rate complex securities as sound with minimal investigation. In the Libor scandal, the biggest banks conspired to mislead the world about inter-bank lending. A description of the instruments, transactions, and the mechanisms of manipulation and fraud is provided.

scholarly journals Aggressive and Defensive High‑Frequency Trading and its Impact on Liquidity of German Stock Market

2016 ◽  
Vol 64 (6) ◽  
pp. 1911-1918
Author(s):  
Juraj Hruška
Keyword(s):  
High Frequency ◽  
Stock Exchange ◽  
Low Frequency ◽  
Positive Influence ◽  
Market Liquidity ◽  
High Frequency Trading ◽  
Market Manipulation ◽  
Limit Orders ◽  
Market Risks ◽  
German Stock

Algorithmic trading and especially high frequency trading is the concern of the current research studies as well as legislative authorities. It is also the subject of criticism mostly from low frequency traders and long-term institutional investors. This is due to several cases of market manipulation and flash crashes in the previous years. Advocates of this trading mechanism claim that it has large positive influence on the market, such as liquidity growth by lowering spreads and others. This paper is focused on testing the relationship between market liquidity of shares traded on Frankfurt Stock Exchange and HFT activity on European stock markets. Author proposes own methodology for measuring dynamics in HFT activity, without knowledge of original market messages. Liquidity is measured by various from of price spreads. Econometrical methods for panel regression are used to determine these relations. Results of this paper will reveal the relevance of the HFT trader’s main argument about creating liquidity and hence reducing market risks related with high spreads and low number of limit orders.

High-Frequency Financial Econometrics

2014 ◽  
Author(s):  
Yacine Aït-Sahalia ◽  
Jean Jacod
Keyword(s):  
High Frequency ◽  
Practical Importance ◽  
Financial Econometrics ◽  
Trading Strategies ◽  
Financial Data ◽  
Jump Processes ◽  
High Frequency Trading ◽  
Microstructure Noise ◽  
Econometric Methods ◽  
Mathematical Foundations

High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. The book covers the mathematical foundations of stochastic processes, describes the primary characteristics of high-frequency financial data, and presents the asymptotic concepts that their analysis relies on. It also deals with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As the book demonstrates, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. The book approaches high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.

High-Frequency Trading

2011 ◽  
Author(s):  
Peter Gomber ◽  
Björn Arndt ◽  
Marco Lutat ◽  
Tim Elko Uhle
Keyword(s):  
High Frequency ◽  
High Frequency Trading
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