Market Microstructure: Confronting Many Viewpoints (Anglais) Relié – 13 avril 2012
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Description du produit
Présentation de l'éditeur
Based on the December 2010 conference on market microstructure, organized with the help of the Institut Louis Bachelier, this guide brings together the leading thinkers to discuss this important field of modern finance. It provides readers with vital insight on the origin of the well–known anomalous "stylized facts" in financial prices series, namely heavy tails, volatility, and clustering, and illustrates their impact on the organization of markets, execution costs, price impact, organization liquidity in electronic markets, and other issues raised by high–frequency trading. World–class contributors cover topics including analysis of high–frequency data, statistics of high–frequency data, market impact, and optimal trading. This is a must–have guide for practitioners and academics in quantitative finance.
Quatrième de couverture
Microstructure theory is a branch of economics that studies the mechanisms of price formation on financial markets. Such understanding is crucial in helping the regulators concerned with the organization of liquidity in electronic markets and the issues raised by high frequency trading. Thanks to the amount of available data and the development of high frequency trading, market microstructure is now a mature practical field where precise, quantitative theories can be tested with accuracy. Quantitative research of this kind has always been at the forefront of innovation and development in finance and the mechanism of price formation is at the very heart of modern financial economics.
Market Microstructure: Confronting Many Viewpoints examines and compares different views on the nature of the mechanisms ruling the behaviour of markets. Important topics such as the interplay between liquidity taking and providing, the various types of market impact, the statistical tools specifically designed to handle high frequency data, or best–execution and other algorithmic trading strategies, are presented by renowned experts who were invited speakers at the Market Microstructure, Confronting Many Viewpoints conference held in Paris, 6 10 December 2010. Their contributions shed new light on market microstructure as an object for scientific study as well as a wealth of information for price discovery and trading.Separated into four parts, Part One explores economic microstructure theory through algorithmic trading and order choice and information in limit order markets. Part Two discusses high frequency data modelling using quasi–likelihood analysis and limit theorems and looking at high frequency correlation results. Part Three then moves to market impact models and examines evidence from NASDAQ ITCH data. Finally, Part Four concludes the book with optimal trading and the role of transaction cost structure. This book provides the latest research into market microstructure and features contributions from some of the leading minds in the area, from academia, where the concepts have their origins, to market practice, where these ideas materialise.
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Commentaires client les plus utiles sur Amazon.com
I. Economic Microstructure Theory
II. High-Frequency Data Modeling
III. Market Impact
IV. Optimal Trading
The first chapter is titled "Algorithmic Trading: Issues and Preliminary Evidence." Here's the first part of the editors' conclusions on the subject.
"As mentioned in the introduction, many have voiced concerns that algorithmic trading could impair market quality. It is fair to say that the early empirical evidence on the effects of algorithmic trading does not offer much support for this view. Indeed, to date, empirical findings suggest that:
"1. Algorithmic trading improves liquidity.
2. Algorithmic trading does not increase volatility and may even dampen it.
3. Algorithmic trading improves price discovery.
"Hence, initial evidence supports the view that algorithmic trading makes the market more efficient and more liquid. This should help investors to make better portfolio decisions at lower costs."
Of course, the term "investors" covers a wide variety of market participants and overall cost reductions don't necessarily get allocated "fairly" by everyone's definition of fairness. But this is in my opinion at least an interesting starting place for the discussions of what happened during the Facebook IPO when robots and humans met and interacted under intense public, regulatory and media scrutiny.