Algorithmic and High-Frequency Trading

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Author: Álvaro Cartea,Sebastian Jaimungal,José Penalva

Publisher: Cambridge University Press

ISBN: 1107091144

Category: Business & Economics

Page: 356

View: 5335

A straightforward guide to the mathematics of algorithmic trading that reflects cutting-edge research.

Rimini Protokoll: Staat 1–4

Phänomene der Postdemokratie

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Author: Manuel Schipper

Publisher: Verlag Theater der Zeit

ISBN: 3957491509

Category: Art

Page: 204

View: 326

Was stimmt an der Befürchtung, dass PR-Strategen und privat finanzierte Beratungs- und Anwaltteams die Steuerung einer immer globaler agierenden Gesellschaft den Händen der Politiker entreißen? Besteht der Staat in seiner neoliberalen Ausprägung nur noch aus formellen, aber schwachen Hülsen? Ist Demokratie nur noch ein Name für etwas, das wir gar nicht mehr wollen – obwohl wir es eigentlich gerne hätten? In den vier hier präsentierten Theaterproduktionen Staat 1–4 ("Top Secret International", "Gesellschaftsmodell Großbaustelle", "Träumende Kollektive. Tastende Schafe" und "Weltzustand Davos") zeigt Rimini Protokoll interaktive szenische Ergebnisse einer Recherchereise an den Rändern des demokratisch legitimierten Staates. Tagebucheinträge und Snapshots eröffnen Einblicke in den Produktionsprozess. Soziologische, philosophische, medienwissenschaftliche und politische Essays (von Lukas Bärfuss, Timon Beyes, Matthias Fuchs, Gabriela Muri Koller u. a.) liefern den inhaltlichen Kontext und Aufführungsfotos aus ungewöhnlichen Perspektiven dokumentieren die besonderen Umgangsweisen mit dem Publikum. Eine Publikation von Rimini Protokoll in Kooperation mit dem Haus der Kulturen der Welt im Rahmen von 100 Jahre Gegenwart. Gefördert von der Beauftragten der Bundesregierung für Kultur und Medien aufgrund eines Beschlusses des Deutschen Bundestages.

The Science of Algorithmic Trading and Portfolio Management

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Author: Robert Kissell

Publisher: Academic Press

ISBN: 0124016936

Category: Business & Economics

Page: 496

View: 7045

The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. Helps readers design systems to manage algorithmic risk and dark pool uncertainty. Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.

Flash Boys

Revolte an der Wall Street

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Author: Michael Lewis

Publisher: Campus Verlag

ISBN: 3593424029

Category: Business & Economics

Page: 288

View: 9384

Mit diesem Buch erhalten Sie das E-Book inklusive! Ein Buch, das die Börse zum Beben bringt Michael Lewis, begnadeter Sachbuchautor, lüftet mit seinem neuen Buch "das dunkelste Geheimnis der Börse". Wer an Börse denkt, hat oft ein Bild im Kopf: wild gestikulierende Makler, die unter immensem Zeitdruck Dinge kaufen, um sie gleich wieder zu verkaufen. Doch das ist Geschichte. Die Realität an der Börse sieht anders aus - das Parkett hat längst neue Regeln. Michael Lewis, Wirtschaftsjournalist und begnadeter Sachbuchautor, sorgte mit seinem neuen Buch für ein Erdbeben. Der Erzähler unter den Sachbuchautoren enthüllt die Geschichte einer Gruppe genialer Wall-Street-Außenseiter. Sie haben herausgefunden, wie die Börse zum Vorteil von Insidern manipuliert wird, die ohne Risiko Milliarden absahnen und abends ohne eine einzige Aktie nach Hause gehen. Ein Buch über die neuen "Helden" an der Börse Der Entschluss der "Helden": Sie schaffen ein paralleles System, das sich den raffgierigen "Flash Boys" in den Weg stellt. Lewis bringt Licht in die dunkelste Ecke der Börse. Seine filmreife Geschichte über den Kampf um Geschwindigkeit - auf einem Markt, den zwar keiner sieht, der unsere Wirtschaft aber ernsthaft bedroht - bringt die Wall Street zum Beben. Dieses Buch lässt die Börsenwelt erzittern. Einen Tag nach seinem Erscheinen kündigten FBI und amerikanisches Justizministerium an, sie würden Untersuchungen gegen den von Lewis gegeißelten Hochfrequenzhandel an den Börsen einleiten. Lewis ... - "... hat eine neue Ebene der Aufmerksamkeit erreicht". (FAZ) - ... lässt den "The Wolf of Wall Street" wie ein Lamm wirken. - ... ist der derzeit packendste (Reality-)Thriller über die Finanzwelt gelungen. - ... enthüllt, wie Märkte und Privatanleger manipuliert werden. Links: http://www.faz.net/aktuell/feuilleton/buecher/rezensionen/sachbuch/rezension-flash-boys-von-michael-lewis-12899266.html http://www.handelsblatt.com/finanzen/fonds/nachrichten/hochfrequenzhandel-staatsfonds-fluechtet-vor-den-flash-boys/10019622.html http://www.manager-magazin.de/finanzen/boerse/hochfrequenzhandel-lewis-gefahr-jedermannn-flashcrash-a-973311.html

High-Performance Computing in Finance

Problems, Methods, and Solutions

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Author: M. A. H. Dempster,Juho Kanniainen,John Keane,Erik Vynckier

Publisher: CRC Press

ISBN: 1315354691

Category: Computers

Page: 614

View: 2305

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.

Handbook of High Frequency Trading

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Author: Greg N. Gregoriou

Publisher: Academic Press

ISBN: 0128023627

Category: Business & Economics

Page: 494

View: 6471

This comprehensive examination of high frequency trading looks beyond mathematical models, which are the subject of most HFT books, to the mechanics of the marketplace. In 25 chapters, researchers probe the intricate nature of high frequency market dynamics, market structure, back-office processes, and regulation. They look deeply into computing infrastructure, describing data sources, formats, and required processing rates as well as software architecture and current technologies. They also create contexts, explaining the historical rise of automated trading systems, corresponding technological advances in hardware and software, and the evolution of the trading landscape. Developed for students and professionals who want more than discussions on the econometrics of the modelling process, The Handbook of High Frequency Trading explains the entirety of this controversial trading strategy. Answers all questions about high frequency trading without being limited to mathematical modelling Illuminates market dynamics, processes, and regulations Explains how high frequency trading evolved and predicts its future developments

Die intelligente Asset Allocation

Wie man profitable und abgesicherte Portfolios erstellt

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Author: William J. Bernstein

Publisher: FinanzBuch Verlag

ISBN: 3862488365

Category: Business & Economics

Page: 217

View: 361

William J. Bernstein ist in Fachkreisen längst als Guru der Investmentwelt bekannt. Er betreibt eine der weltweit erfolgreichsten Investment-Websites. In diesem Buch erklärt er wie man sicher, einfach und ohne großen Zeitaufwand sein Portfolio zusammenstellen kann. Dabei beruft er sich auf Techniken, mit denen seit Jahrzehnten erfolgreich Investiert wird. Mit nur 30 Minuten Zeitaufwand im Jahr kann damit jeder ein Portfolio zusammenstellen, das 75 Prozent aller professionell gemanagten Aktienkörbe hinter sich lässt.

Market Microstructure

Confronting Many Viewpoints

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Author: Frédéric Abergel,Jean-Philippe Bouchaud,Thierry Foucault,Charles-Albert Lehalle,Mathieu Rosenbaum

Publisher: John Wiley & Sons

ISBN: 1119952786

Category: Business & Economics

Page: 416

View: 1248

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.

High-frequency Trading And Probability Theory

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Author: Wang Zhaodong,Zheng Weian

Publisher: World Scientific

ISBN: 9814616532

Category: Business & Economics

Page: 192

View: 932

This book is the first of its kind to treat high-frequency trading and technical analysis as accurate sciences. The authors reveal how to build trading algorithms of high-frequency trading and obtain stable statistical arbitrage from the financial market in detail. The authors' arguments are based on rigorous mathematical and statistical deductions and this will appeal to people who believe in the theoretical aspect of the topic.Investors who believe in technical analysis will find out how to verify the efficiency of their technical arguments by ergodic theory of stationary stochastic processes, which form a mathematical background for technical analysis. The authors also discuss technical details of the IT system design for high-frequency trading.

Encyclopedia of Quantitative Finance, 4 Volume Set

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Author: N.A

Publisher: Wiley

ISBN: 9780470057568

Category: Business & Economics

Page: 2224

View: 3257

"What initially looked like an impossible undertaking has become a formidable achievement, stretching from the theoretical foundations to the most recent cutting edge methods. Mille bravos!" —Dr Bruno Dupire (Bloomberg L.P.) The Encyclopedia of Quantitative Finance is a major reference work designed to provide a comprehensive coverage of essential topics related to the quantitative modelling of financial markets, with authoritative contributions from leading academics and professionals. Drawing on contributions from a wide spectrum of experts in fields including financial economics, econometrics, mathematical finance, operations research, numerical analysis, risk management and statistics, the Encyclopedia of Quantitative Finance faithful reflects the multidisciplinary nature of its subject. With a pool of author comprising over 400 leading academics and professionals worldwide, the Encyclopedia provides a balanced view of theoretical and practical aspects of quantitative modelling in finance. Topics covered in the Encyclopedia include the historical development of quantitative modelling in finance, including biographies of influential figures self-contained expositions of mathematical and statistical tools used in financial modelling authoritative expositions on the foundations of financial theory and mathematical finance, including arbitrage pricing, asset pricing theory, option pricing and asset allocation comprehensive reviews of various aspects of risk management: credit risk, market risk, operational risk, economic capital and Basel II with a detailed coverage of topics related to credit risk up-to-date surveys of the state of the art in computational finance: Monte Carlo simulation, partial differential equations (PDEs), Fourier transform methods, model calibration detailed entries on various types of financial derivatives and methods used for pricing and hedging them, including equity derivatives, credit derivatives, interest rate derivatives and foreign exchange derivatives pedagogical surveys of econometric methods and models used in finance, including GARCH models, GMM, realized volatility, factor models, Mixed Data Sampling and high-frequency data empirical and theoretical aspects of market microstructure and trade-level modelling timely entries on new topics such as commodity risk, electricity derivatives, algorithmic trading and multi-fractals quantitative methods in actuarial science, including insurance derivatives, catastrophe bonds , equity-linked life insurance and other topics at the interface of finance and insurance All articles contain are cross-referenced to other relevant articles in the Encyclopedia and include detailed bibliographies for further reading. The scope and breadth of the Encyclopedia will make it an invaluable resource for students and researchers in finance, quantitative analysts and developers, risk managers, portfolio managers, regulators, financial market analysts and anyone interested in the complexity of today’s financial markets and products.

Handbook of Modeling High-Frequency Data in Finance

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Author: Frederi G. Viens,Maria C. Mariani,Ionut Florescu

Publisher: John Wiley & Sons

ISBN: 0470876883

Category: Business & Economics

Page: 441

View: 8585

CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.

Programmieren lernen mit Python

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Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868999477

Category: Computers

Page: 312

View: 2257

Python ist eine moderne, interpretierte, interaktive und objektorientierte Skriptsprache, vielseitig einsetzbar und sehr beliebt. Mit mathematischen Vorkenntnissen ist Python leicht erlernbar und daher die ideale Sprache für den Einstieg in die Welt des Programmierens. Das Buch führt Sie Schritt für Schritt durch die Sprache, beginnend mit grundlegenden Programmierkonzepten, über Funktionen, Syntax und Semantik, Rekursion und Datenstrukturen bis hin zum objektorientierten Design. Jenseits reiner Theorie: Jedes Kapitel enthält passende Übungen und Fallstudien, kurze Verständnistests und kleinere Projekte, an denen Sie die neu erlernten Programmierkonzepte gleich ausprobieren und festigen können. Auf diese Weise können Sie das Gelernte direkt anwenden und die jeweiligen Programmierkonzepte nachvollziehen. Lernen Sie Debugging-Techniken kennen: Am Ende jedes Kapitels finden Sie einen Abschnitt zum Thema Debugging, der Techniken zum Aufspüren und Vermeiden von Bugs sowie Warnungen vor entsprechenden Stolpersteinen in Python enthält. Starten Sie durch: Beginnen Sie mit den Grundlagen der Programmierung und den verschiedenen Programmierkonzepten, und lernen Sie, wie ein Informatiker zu programmieren.

State-Space Models

Applications in Economics and Finance

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Author: Yong Zeng,Shu Wu

Publisher: Springer Science & Business Media

ISBN: 1461477891

Category: Business & Economics

Page: 347

View: 8477

State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations. The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space Models for High Frequency Financial Data. The book will appeal to graduate students and researchers studying state-space modeling in economics, statistics, and mathematics, as well as to finance professionals.

Derivate und Interne Modelle

Modernes Risikomanagement

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Author: Hans-Peter Deutsch,Mark W. Beinker

Publisher: N.A

ISBN: 9783791033129

Category:

Page: 715

View: 9748

Magier der Märkte

Interviews mit Top-Tradern der Finanzwelt

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Author: Jack D. Schwager

Publisher: FinanzBuch Verlag

ISBN: 3862484505

Category: Business & Economics

Page: 513

View: 994

Jack D. Schwager ist einer der ganz Großen in der internationalen Finanzszene, seine "Magier der Märkte"-Buchreihe gehört weltweit seit Jahren zu den Standardwerken. In Interviews mit den Top-Tradern unserer Zeit zeigt Schwager auf, was diese Menschen so unglaublich erfolgreich macht. Sie alle verwenden zwar unterschiedliche Methoden, aber sie haben nicht nur scheinbar einen Vorteil gegenüber den Mitstreitern. Wie machen sie das? Was ist es, das sie von anderen unterscheidet? Was kann der durchschnittliche Investor daraus lernen? In diesem einmaligen Werk legen sie ihre finanziellen Strategien offen, die sie zu ihrem Erfolg katapultiert haben, aber auch Niederlagen und Verluste werden eingestanden. Ein Muss für jeden Börsianer! Das Wichtigste in Kürze: Ein Klassiker der Investmentliteratur Pflichtlektüre für jeden Anleger Umsetzbare Tipps von Insidern Blicken Sie den Profis über die Schulter

An Introduction to High-Frequency Finance

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Author: Ramazan Gençay,Michel Dacorogna,Ulrich A. Muller,Olivier Pictet,Richard Olsen

Publisher: Elsevier

ISBN: 9780080499048

Category: Business & Economics

Page: 383

View: 704

Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data. This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

Hidden Markov Models in Finance

Further Developments and Applications

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Author: Rogemar S. Mamon,Robert J. Elliott

Publisher: Springer

ISBN: 1489974423

Category: Business & Economics

Page: 261

View: 8707

Since the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance. This handbook offers systemic applications of different methodologies that have been used for decision making solutions to the financial problems of global markets. As the follow-up to the authors’ Hidden Markov Models in Finance (2007), this offers the latest research developments and applications of HMMs to finance and other related fields. Amongst the fields of quantitative finance and actuarial science that will be covered are: interest rate theory, fixed-income instruments, currency market, annuity and insurance policies with option-embedded features, investment strategies, commodity markets, energy, high-frequency trading, credit risk, numerical algorithms, financial econometrics and operational risk. Hidden Markov Models in Finance: Further Developments and Applications, Volume II presents recent applications and case studies in finance and showcases the formulation of emerging potential applications of new research over the book’s 11 chapters. This will benefit not only researchers in financial modeling, but also others in fields such as engineering, the physical sciences and social sciences. Ultimately the handbook should prove to be a valuable resource to dynamic researchers interested in taking full advantage of the power and versatility of HMMs in accurately and efficiently capturing many of the processes in the financial market.

Quantitative Trading

Algorithms, Analytics, Data, Models, Optimization

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Author: Xin Guo,Tze Leung Lai,Howard Shek,Samuel Po-Shing Wong

Publisher: CRC Press

ISBN: 1498706495

Category: Business & Economics

Page: 379

View: 2399

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.