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Author: Walter Mattli
Publisher: Oxford University Press, USA
ISBN: 0198829469
Category : Business & Economics
Languages : en
Pages : 385
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Book Description
Global capital markets have undergone fundamental transformations in recent years and, as a result, have become extraordinarily complex and opaque. Trading space is no longer measured in minutes or seconds but in time units beyond human perception: milliseconds, microseconds, and even nanoseconds. Technological advances have thus scaled up imperceptible and previously irrelevant time differences into operationally manageable and enormously profitable business opportunities for those with the proper high-tech trading tools. These tools include the fastest private communication and trading lines, the most powerful computers and sophisticated algorithms capable of speedily analysing incoming news and trading data and determining optimal trading strategies in microseconds, as well as the possession of gigantic collections of historic and real-time market data. Fragmented capital markets are also becoming a rapidly growing reality in Europe and Asia, and are an established feature of U.S. trading. This raises urgent market governance issues that have largely been overlooked. Global Algorithmic Capital Markets seeks to understand how recent market transformations are affecting core public policy objectives such as investor protection and reduction of systemic risk, as well as fairness, efficiency, and transparency. The operation and health of capital markets affect all of us and have profound implications for equality and justice in society. This unique set of chapters by leading scholars, industry insiders, and regulators discusses ways to strengthen market governance for the benefit of society at whole.
Author: Walter Mattli
Publisher: Oxford University Press, USA
ISBN: 0198829469
Category : Business & Economics
Languages : en
Pages : 385
Get Book Here
Book Description
Global capital markets have undergone fundamental transformations in recent years and, as a result, have become extraordinarily complex and opaque. Trading space is no longer measured in minutes or seconds but in time units beyond human perception: milliseconds, microseconds, and even nanoseconds. Technological advances have thus scaled up imperceptible and previously irrelevant time differences into operationally manageable and enormously profitable business opportunities for those with the proper high-tech trading tools. These tools include the fastest private communication and trading lines, the most powerful computers and sophisticated algorithms capable of speedily analysing incoming news and trading data and determining optimal trading strategies in microseconds, as well as the possession of gigantic collections of historic and real-time market data. Fragmented capital markets are also becoming a rapidly growing reality in Europe and Asia, and are an established feature of U.S. trading. This raises urgent market governance issues that have largely been overlooked. Global Algorithmic Capital Markets seeks to understand how recent market transformations are affecting core public policy objectives such as investor protection and reduction of systemic risk, as well as fairness, efficiency, and transparency. The operation and health of capital markets affect all of us and have profound implications for equality and justice in society. This unique set of chapters by leading scholars, industry insiders, and regulators discusses ways to strengthen market governance for the benefit of society at whole.
Author: Walter Mattli
Publisher: Princeton University Press
ISBN: 069121686X
Category : Business & Economics
Languages : en
Pages : 264
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Book Description
"Capital markets have undergone a dramatic transformation in the past two decades. Algorithmic high-speed supercomputing has replaced traditional floor trading and human market makers, while centralized exchanges that once ensured fairness and transparency have fragmented into a dizzying array of competing exchanges and trading platforms. Darkness by Design exposes the unseen perils of market fragmentation and 'dark' markets, some of which are deliberately designed to enable the transfer of wealth from the weak to the powerful. Walter Mattli traces the fall of the traditional exchange model of the NYSE, the world's leading stock market in the twentieth century, showing how it has come to be supplanted by fragmented markets whose governance is frequently set up to allow unscrupulous operators to exploit conflicts of interest at the expense of an unsuspecting public. Market makers have few obligations, market surveillance is neglected or impossible, enforcement is ineffective, and new technologies are not necessarily used to improve oversight but to offer lucrative preferential market access to select clients in ways that are often hidden. Mattli argues that power politics is central in today's fragmented markets. He sheds critical light on how the redistribution of power and influence has created new winners and losers in capital markets and lays the groundwork for sensible reforms to combat shady trading schemes and reclaim these markets for the long-term benefit of everyone. Essential reading for anyone with money in the stock market, Darkness by Design challenges the conventional view of markets and reveals the troubling implications of unchecked market power for the health of the global economy and society as a whole"--
Author: Sriram Kannan
Publisher:
ISBN:
Category :
Languages : en
Pages : 14
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Book Description
Algorithmic trading is generally defined as using computer-generated algorithms to create and execute orders on marketplaces. Recently, such algo-trading strategies are increasingly being associated with the negative impact on capital markets - both from a technological as well as a business perspective. However, there are positive effects of algorithmic trading too - such as increased liquidity and the elimination of market inefficiencies - that far outweigh the potential negative effects. Regardless of this, algo-trading has seen increasing popularity and acceptance on most of the major global markets, demanding well thought-out strategies that actually help traders and investors make more than a reasonable return on their investments. Objective of this paper is to:a) Categorize the types of algorithmic trading and describe their implications for capital markets.b) Describe how to accommodate algorithmic trading in markets, while minimizing potentialadverse effects. Discuss technology options and architectures to realize the same.c) Describe the use of special-purpose orders in the context of algorithmic trading.
Author: Iris H.-Y. Chiu
Publisher: Edward Elgar Publishing
ISBN: 1800379307
Category : Law
Languages : en
Pages : 449
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Book Description
This Research Handbook is a one-stop resource on global capital markets and the laws that regulate them. Featuring contributions from leading global experts, the Research Handbook delves into a range of issues including investment products such as equity finance; sustainable finance; fintech; impact investing; and private equity. It also provides analysis on institutional and procedural issues such as large and small companies' capital formation, the roles of institutional shareholders and information providers, and the practices and regulation of financial trading markets.
Author: Markus Gsell
Publisher: Columbia University Press
ISBN: 3838261143
Category : Business & Economics
Languages : en
Pages : 227
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Book Description
Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropriate points in time for trading. Within only a few years, this technology propagated itself among market participants along the entire value chain and has nowadays gained a significant market share on securities markets worldwide. Surprisingly, there has been only little research analyzing the impact of this special type of trading on markets. Markus Gsell's book aims at closing this gap by analyzing the drivers for adoption of this technology, the impact the application of this technology has on markets on a macro level, i.e. how the market outcome is affected, as well as on a micro level, i.e. how the exhibited trading behavior of these automated traders differs from normal traders' behavior.
Author: Onnig H. Dombalagian
Publisher: MIT Press
ISBN: 026202862X
Category : Business & Economics
Languages : en
Pages : 381
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Book Description
An examination of regulation and use of information in capital markets, offering comparisons across different jurisdictions, regulated entities, and financial instruments. Financial information is a both a public resource and a commodity that market participants produce and distribute in connection with other financial products and services. Legislators, regulators, and other policy makers must therefore balance the goal of making information transparent, accessible, and useful for the collective benefit of society against the need to maintain appropriate incentives for information originators and intermediaries. In Chasing the Tape, Onnig Dombalagian examines the policy objectives and regulatory tools that shape the information production chain in capital markets in the United States, the European Union, and other jurisdictions. His analysis offers a unique cross section of capital market infrastructure, spanning different countries, regulated entities, and financial instruments. Dombalagian uses four key categories of information—issuer information, market information, information used in credit analysis, and benchmarks—to survey the market forces and regulatory regimes that govern the flow of information in capital markets. He considers the similarities and differences in regulatory aims and strategies across categories, and discusses alternative approaches proposed or adopted by scholars and policy makers. Dombalagian argues that the long-term regulatory challenges raised by economic globalization and advanced information technology will require policy makers to decouple information policy in capital markets from increasingly arbitrary historical classifications and jurisdictional boundaries.
Author: Álvaro Cartea
Publisher: Cambridge University Press
ISBN: 1107091144
Category : Business & Economics
Languages : en
Pages : 360
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Book Description
A straightforward guide to the mathematics of algorithmic trading that reflects cutting-edge research.
Author: Marc Alvarez
Publisher: Elsevier
ISBN: 0080465781
Category : Business & Economics
Languages : en
Pages : 135
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Book Description
Market Data Explained is intended to provide a guide to the universe of data content produced by the global capital markets on a daily basis. Commonly referred to as “market data , the universe of content is very wide and the type of information correspondingly diverse. Jargon and acronyms are very common. As a result, users of marker data typically face difficulty in applying the content in analysis and business applications. This guide provides an independent framework for understanding this diversity and streamlining the process of referring to content and how it relates to today’s business environment. The book achieves this goal by providing a consistent frame of reference for users of market data. As such, it is built around the concept of a data model – a single, coherent view of the capital markets independent of any one source, such as an exchange. In particular it delineates clearly between the actual data content and how it is delivered (i.e., realtime data streams versus reference data). It shows how the data relates across the universe of securities (i.e., stocks, bonds, derivatives etc.). In this way it provides a logical framework for understanding how new content can be added over time as the business develops. Special features: 1. Uniqueness – this is the first comprehensive catalog and taxonomy to be made available for a business audience 2. Industry Acceptance – the framework described in this book is implemented as a relational data model in the industry today and used by blue chip multinational firms 3. Comprehensiveness – there are no arbitrary distinctions made based on asset class or data type (the legacy approach). The model presented in this book is fully cross asset and makes no distinction between data types (i.e., realtime versus historical/reference data) or sources 4. Independence – the framework is an independent, objective overview of how the data content integrates to provide a coherent view of the data produced by the global capital markets on a daily and intra-day basis. It provides a logical framework for referring to the content and entities that are so intrinsic to this industry First and only single, comprehensive desk reference to market data produced by the global capital markets on a daily basis Provides a comprehensive catalog of the market data and a common structure for navigating the complex content and interrelationships Provides a common taxonomy and naming conventions that handles the highly varied, geographically and language dependent nature of the content
Author: Maria Clara Natividade Martins Pereira
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Kendall Kim
Publisher: Academic Press
ISBN: 0080548865
Category : Computers
Languages : en
Pages : 224
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Book Description
Electronic and algorithmic trading has become part of a mainstream response to buy-side traders’ need to move large blocks of shares with minimum market impact in today’s complex institutional trading environment. This book illustrates an overview of key providers in the marketplace. With electronic trading platforms becoming increasingly sophisticated, more cost effective measures handling larger order flow is becoming a reality. The higher reliance on electronic trading has had profound implications for vendors and users of information and trading products. Broker dealers providing solutions through their products are facing changes in their business models such as: relationships with sellside customers, relationships with buyside customers, the importance of broker neutrality, the role of direct market access, and the relationship with prime brokers. Electronic and Algorithmic Trading Technology: The Complete Guide is the ultimate guide to managers, institutional investors, broker dealers, and software vendors to better understand innovative technologies that can cut transaction costs, eliminate human error, boost trading efficiency and supplement productivity. As economic and regulatory pressures are driving financial institutions to seek efficiency gains by improving the quality of software systems, firms are devoting increasing amounts of financial and human capital to maintaining their competitive edge. This book is written to aid the management and development of IT systems for financial institutions. Although the book focuses on the securities industry, its solution framework can be applied to satisfy complex automation requirements within very different sectors of financial services – from payments and cash management, to insurance and securities. Electronic and Algorithmic Trading: The Complete Guide is geared toward all levels of technology, investment management and the financial service professionals responsible for developing and implementing cutting-edge technology. It outlines a complete framework for successfully building a software system that provides the functionalities required by the business model. It is revolutionary as the first guide to cover everything from the technologies to how to evaluate tools to best practices for IT management. First book to address the hot topic of how systems can be designed to maximize the benefits of program and algorithmic trading Outlines a complete framework for developing a software system that meets the needs of the firm's business model Provides a robust system for making the build vs. buy decision based on business requirements
