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The Financial Mathematics of Market Liquidity

The Financial Mathematics of Market Liquidity Author Olivier Gueant
ISBN-10 9781498725484
Release 2016-03-30
Pages 278
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This book is among the first to present the mathematical models most commonly used to solve optimal execution problems and market making problems in finance. The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making presents a general modeling framework for optimal execution problems–inspired from the Almgren-Chriss approach–and then demonstrates the use of that framework across a wide range of areas. The book introduces the classical tools of optimal execution and market making, along with their practical use. It also demonstrates how the tools used in the optimal execution literature can be used to solve classical and new issues where accounting for liquidity is important. In particular, it presents cutting-edge research on the pricing of block trades, the pricing and hedging of options when liquidity matters, and the management of complex share buy-back contracts. What sets this book apart from others is that it focuses on specific topics that are rarely, or only briefly, tackled in books dealing with market microstructure. It goes far beyond existing books in terms of mathematical modeling–bridging the gap between optimal execution and other fields of Quantitative Finance. The book includes two appendices dedicated to the mathematical notions used throughout the book. Appendix A recalls classical concepts of mathematical economics. Appendix B recalls classical tools of convex analysis and optimization, along with central ideas and results of the calculus of variations. This self-contained book is accessible to anyone with a minimal background in mathematical analysis, dynamic optimization, and stochastic calculus. Covering post-electronification financial markets and liquidity issues for pricing, this book is an ideal resource to help investment banks and asset managers optimize trading strategies and improve overall risk management.



High Performance Computing in Finance

High Performance Computing in Finance Author M. A. H. Dempster
ISBN-10 9781315354699
Release 2018-02-21
Pages 614
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High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.



Markets with Transaction Costs

Markets with Transaction Costs Author Yuri Kabanov
ISBN-10 9783540681212
Release 2009-12-04
Pages 294
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The book is the first monograph on this highly important subject.



Financial Modelling with Jump Processes

Financial Modelling with Jump Processes Author Peter Tankov
ISBN-10 9781135437947
Release 2003-12-30
Pages 552
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WINNER of a Riskbook.com Best of 2004 Book Award! During the last decade, financial models based on jump processes have acquired increasing popularity in risk management and option pricing. Much has been published on the subject, but the technical nature of most papers makes them difficult for nonspecialists to understand, and the mathematical tools required for applications can be intimidating. Potential users often get the impression that jump and Lévy processes are beyond their reach. Financial Modelling with Jump Processes shows that this is not so. It provides a self-contained overview of the theoretical, numerical, and empirical aspects involved in using jump processes in financial modelling, and it does so in terms within the grasp of nonspecialists. The introduction of new mathematical tools is motivated by their use in the modelling process, and precise mathematical statements of results are accompanied by intuitive explanations. Topics covered in this book include: jump-diffusion models, Lévy processes, stochastic calculus for jump processes, pricing and hedging in incomplete markets, implied volatility smiles, time-inhomogeneous jump processes and stochastic volatility models with jumps. The authors illustrate the mathematical concepts with many numerical and empirical examples and provide the details of numerical implementation of pricing and calibration algorithms. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models. If you have even a basic familiarity with quantitative methods in finance, Financial Modelling with Jump Processes will give you a valuable new set of tools for modelling market fluctuations.



Trades Quotes and Prices

Trades  Quotes and Prices Author Jean-Philippe Bouchaud
ISBN-10 9781108639064
Release 2018-03-22
Pages
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The widespread availability of high-quality, high-frequency data has revolutionised the study of financial markets. By describing not only asset prices, but also market participants' actions and interactions, this wealth of information offers a new window into the inner workings of the financial ecosystem. In this original text, the authors discuss empirical facts of financial markets and introduce a wide range of models, from the micro-scale mechanics of individual order arrivals to the emergent, macro-scale issues of market stability. Throughout this journey, data is king. All discussions are firmly rooted in the empirical behaviour of real stocks, and all models are calibrated and evaluated using recent data from Nasdaq. By confronting theory with empirical facts, this book for practitioners, researchers and advanced students provides a fresh, new, and often surprising perspective on topics as diverse as optimal trading, price impact, the fragile nature of liquidity, and even the reasons why people trade at all.



C for Financial Mathematics

C   for Financial Mathematics Author John Armstrong
ISBN-10 9781498750066
Release 2017-01-06
Pages 410
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If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need to know to price derivatives in C++ without unnecessary complexities or technicalities. It leads the reader step-by-step from programming novice to writing a sophisticated and flexible financial mathematics library. At every step, each new idea is motivated and illustrated with concrete financial examples. As employers understand, there is more to programming than knowing a computer language. As well as covering the core language features of C++, this book teaches the skills needed to write truly high quality software. These include topics such as unit tests, debugging, design patterns and data structures. The book teaches everything you need to know to solve realistic financial problems in C++. It can be used for self-study or as a textbook for an advanced undergraduate or master’s level course.



Market Microstructure In Practice Second Edition

Market Microstructure In Practice  Second Edition Author Laruelle Sophie
ISBN-10 9789813231146
Release 2018-01-18
Pages 368
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This book exposes and comments on the consequences of Reg NMS and MiFID on market microstructure. It covers changes in market design, electronic trading, and investor and trader behaviors. The emergence of high frequency trading and critical events like the"Flash Crash" of 2010 are also analyzed in depth. Using a quantitative viewpoint, this book explains how an attrition of liquidity and regulatory changes can impact the whole microstructure of financial markets. A mathematical Appendix details the quantitative tools and indicators used through the book, allowing the reader to go further independently. This book is written by practitioners and theoretical experts and covers practical aspects (like the optimal infrastructure needed to trade electronically in modern markets) and abstract analyses (like the use on entropy measurements to understand the progress of market fragmentation). As market microstructure is a recent academic field, students will benefit from the book's overview of the current state of microstructure and will use the Appendix to understand important methodologies. Policy makers and regulators will use this book to access theoretical analyses on real cases. For readers who are practitioners, this book delivers data analysis and basic processes like the designs of Smart Order Routing and trade scheduling algorithms. In this second edition, the authors have added a large section on orderbook dynamics, showing how liquidity can predict future price moves, and how High Frequency Traders can profit from it. The section on market impact has also been updated to show how buying or selling pressure moves prices not only for a few hours, but even for days, and how prices relax (or not) after a period of intense pressure. Further, this edition includes pages on Dark Pools, Circuit Breakers and added information outside of Equity Trading, because MiFID 2 is likely to push fixed income markets towards more electronification. The authors explore what is to be expected from this change in microstructure. The appendix has also been augmented to include the propagator models (for intraday price impact), a simple version of Kyle's model (1985) for daily market impact, and a more sophisticated optimal trading framework, to support the design of trading algorithms. Contents: Monitoring the Fragmentation at Any ScaleUnderstanding the Stakes and the Roots of FragmentationOptimal Organizations for Optimal TradingAppendix A: Quantitative AppendixAppendix B: Glossary Readership: Graduate and research students of financial markets and quantitative finance, Regulators and policy makers, practitioners. Keywords: Market Microstructure;Finance;Financial Markets;Market Liquidity;Financial Regulation;MiFID;Reg NMS;ESMAReview: Reviews of the First Edition: “Lehalle and Laruelle bring [their] experience to bear on every aspect of the discussion, as well as deep quantitative understanding. The resulting book is a unique mixture of real market knowledge and theoretical explanation. There is nothing else out there like it, and this book will be a central resource for many different market participants.” Robert Almgren President and Cofounder of Quantitative Brokers, New York “Charles' and Sophie's book on markets microstructure will improve our knowledge and consequently help us to tweak these potentiometers. In promoting better education, this book is at the roots of restoring trust in the markets.” Philippe Guillot Executive Director, Markets Directorate Autorité des marchés financiers (AMF), Paris “This book pro



Nonlinear Option Pricing

Nonlinear Option Pricing Author Julien Guyon
ISBN-10 9781466570344
Release 2013-12-19
Pages 484
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New Tools to Solve Your Option Pricing Problems For nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research—including Risk magazine’s 2013 Quant of the Year—Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods. Real-World Solutions for Quantitative Analysts The book helps quants develop both their analytical and numerical expertise. It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors build intuition through numerous real-world examples of numerical implementation. Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs. The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + bλ technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.



Model free Hedging

Model free Hedging Author Pierre Henry-Labordere
ISBN-10 9781351666237
Release 2017-05-25
Pages 204
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Model-free Hedging: A Martingale Optimal Transport Viewpoint focuses on the computation of model-independent bounds for exotic options consistent with market prices of liquid instruments such as Vanilla options. The author gives an overview of Martingale Optimal Transport, highlighting the differences between the optimal transport and its martingale counterpart. This topic is then discussed in the context of mathematical finance.



Stochastic Volatility Modeling

Stochastic Volatility Modeling Author Lorenzo Bergomi
ISBN-10 9781482244076
Release 2016-01-13
Pages 506
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Packed with insights, Lorenzo Bergomi’s Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including: Which trading issues do we tackle with stochastic volatility? How do we design models and assess their relevance? How do we tell which models are usable and when does calibration make sense? This manual covers the practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility. In the course of this exploration, the author, Risk’s 2009 Quant of the Year and a leading contributor to volatility modeling, draws on his experience as head quant in Société Générale’s equity derivatives division. Clear and straightforward, the book takes readers through various modeling challenges, all originating in actual trading/hedging issues, with a focus on the practical consequences of modeling choices.



Algorithmic and High Frequency Trading

Algorithmic and High Frequency Trading Author Álvaro Cartea
ISBN-10 9781316453650
Release 2015-08-06
Pages
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The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.



High Frequency Trading and Limit Order Book Dynamics

High Frequency Trading and Limit Order Book Dynamics Author Ingmar Nolte
ISBN-10 9781317570769
Release 2016-04-14
Pages 320
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This book brings together the latest research in the areas of market microstructure and high-frequency finance along with new econometric methods to address critical practical issues in these areas of research. Thirteen chapters, each of which makes a valuable and significant contribution to the existing literature have been brought together, spanning a wide range of topics including information asymmetry and the information content in limit order books, high-frequency return distribution models, multivariate volatility forecasting, analysis of individual trading behaviour, the analysis of liquidity, price discovery across markets, market microstructure models and the information content of order flow. These issues are central both to the rapidly expanding practice of high frequency trading in financial markets and to the further development of the academic literature in this area. The volume will therefore be of immediate interest to practitioners and academics. This book was originally published as a special issue of European Journal of Finance.



Optimal Mean Reversion Trading

Optimal Mean Reversion Trading Author Tim Leung (Professor of industrial engineering)
ISBN-10 9789814725927
Release 2015-11-26
Pages 220
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"Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical analysis as well as computational methods for trading ETFs, options, futures on commodities or volatility indices, and credit risk derivatives. This book offers a unique financial engineering approach that combines novel analytical methodologies and applications to a wide array of real-world examples. It extracts the mathematical problems from various trading approaches and scenarios, but also addresses the practical aspects of trading problems, such as model estimation, risk premium, risk constraints, and transaction costs. The explanations in the book are detailed enough to capture the interest of the curious student or researcher, and complete enough to give the necessary background material for further exploration into the subject and related literature. This book will be a useful tool for anyone interested in financial engineering, particularly algorithmic trading and commodity trading, and would like to understand the mathematically optimal strategies in different market environments."--



Option Market Making

Option Market Making Author Allen Jan Baird
ISBN-10 0471578320
Release 1993
Pages 201
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Option risk is more complex and comes in more varieties than most other investment risks. That's why traders, speculators, hedgers, scalpers, and market makers everywhere will draw considerable understanding and profit from this first book length guide to market making.



Making Markets

Making Markets Author Ajit Kambil
ISBN-10 1578516587
Release 2002
Pages 224
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Markets are transitioning from place to space-but as the collapse of the initial B2B boom demonstrated, the journey won't be easy. Pioneering market makers from eBay and British Petroleum to the Dutch Flower Auctions and ChemConnect are leading the way to create new value through markets. Their experiences make two things increasingly clear: Success in the marketspace will require new ways of operating, and participation won't be optional. Ajit Kambil and Eric van Heck-respected authorities on electronic markets-argue that online auctions and exchanges will soon be an essential part of business practice. They explain why companies must adopt electronic markets now if they hope to compete in the future. And they prove that success lies not in achieving "first-mover" advantage in new markets, but in creating winning strategies to design and use markets to manage the supply chain, connect with customers, increase efficiency, and make decisions. Based on the authors' decade-long study of nearly one hundred successful and failed electronic markets in the United States, Europe, and Asia, the book reveals how market makers are rewriting the rules of commerce. They offer a strategic blueprint for designing, implementing, and profiting from electronic markets. Making Markets shows how companies can: · Creatively use markets in procurement, resale, and clearance, and in more novel applications such as prediction, risk management, and decision making. · Design, deploy, and stimulate the successful adoption of online auctions and exchanges. · Utilize technology to support-not replace-human interaction. · Leverage information to become more profitable buyers and sellers. · Innovate in trade processes from pricing, payment, and authentication to logistics and product representation. · Grow markets through partnerships, alliances, and mergers. This highly practical guide will help companies create the ultimate market: one that captures the feel and trust of a physical community but leverages the power and efficiency of technology to benefit all participants. AUTHORBIO: Ajit Kambil is Associate Partner and Senior Research Fellow at Accenture's Institute for Strategic Change. Eric van Heck is a Professor at Erasmus University's Rotterdam School of Management, The Netherlands.



Market Microstructure

Market Microstructure Author Frédéric Abergel
ISBN-10 9781119952787
Release 2012-04-03
Pages 416
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The latest cutting-edge research on market microstructure 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.



Quantitative Trading

Quantitative Trading Author Xin Guo
ISBN-10 9781315354354
Release 2017-07-14
Pages 379
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The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning techniques, and nonlinear filtering. The third part discusses electronic market making, liquidity, systemic risk, recent developments and debates on the subject.