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Quantitative Trading With R

Author: Harry Georgakopoulos
Publisher: Springer
ISBN: 1137437472
Size: 43.38 MB
Format: PDF, Docs
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Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.

Quantitative Trading With R

Author: Harry Georgakopoulos
Publisher: Palgrave Macmillan
ISBN: 9781137354075
Size: 19.45 MB
Format: PDF
View: 629
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Quantitative Trading with R offers readers a glimpse into the daily activities of quants/traders who deal with financial data analysis and the formulation of model-driven trading strategies. Based on the author's own experience as a quant, lecturer, and high-frequency trader, this book illuminates many of the problems that these professionals encounter on a daily basis. Answers to some of the more relevant questions are provided, and the easy-to-follow examples show the reader how to build functional R computer code in the process. Georgakopoulos has written an invaluable introductory work for students, researchers, and practitioners alike. Anyone interested in applying programming, mathematical, and financial concepts to the creation and analysis of simple trading strategies will benefit from the lessons provided in this book. Accessible yet comprehensive, Quantitative Trading with R focuses on helping readers achieve practical competency in utilizing the popular R language for data exploration and strategy development. Engaging and straightforward in his explanations, Georgakopoulos outlines basic trading concepts and walks the reader through the necessary math, data analysis, finance, and programming that quants/traders rely on. To increase retention and impact, individual case studies are split up into smaller modules. Chapters contain a balanced mix of mathematics, finance, and programming theory, and cover such diverse topics such as statistics, data analysis, time series manipulation, back-testing, and R-programming. In Quantitative Trading with R, Georgakopoulos offers up a highly readable yet in-depth guidebook. Readers will emerge better acquainted with the R language and the relevant packages that are used by academics and practitioners in the quantitative trading realm.

Quantitative Trading With R

Author: Harry Georgakopoulos
Publisher: Palgrave Macmillan
ISBN: 9781349469864
Size: 46.27 MB
Format: PDF, Mobi
View: 7680
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Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.

Introduction To R For Quantitative Finance

Author: Gergely Daróczi
Publisher: Packt Publishing Ltd
ISBN: 1783280948
Size: 10.59 MB
Format: PDF, ePub, Mobi
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This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.

Automated Trading With R

Author: Chris Conlan
Publisher: Apress
ISBN: 1484221788
Size: 16.81 MB
Format: PDF, ePub, Mobi
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Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software components are strictly decoupled and easily scalable, providing opportunity to substitute any data source, trading algorithm, or brokerage. This book will: Provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders Offer an understanding of the internal mechanisms of an automated trading system Standardize discussion and notation of real-world strategy optimization problems What You Will Learn Understand machine-learning criteria for statistical validity in the context of time-series Optimize strategies, generate real-time trading decisions, and minimize computation time while programming an automated strategy in R and using its package library Best simulate strategy performance in its specific use case to derive accurate performance estimates Understand critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capital Who This Book Is For Traders/practitioners at the retail or small fund level with at least an undergraduate background in finance or computer science; graduate level finance or data science students

Mastering R For Quantitative Finance

Author: Edina Berlinger
Publisher: Packt Publishing Ltd
ISBN: 1783552085
Size: 78.11 MB
Format: PDF, Mobi
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This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.

An Introduction To Quantitative Finance

Author: Stephen Blyth
Publisher: Oxford University Press
ISBN: 0199666598
Size: 25.44 MB
Format: PDF, Docs
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The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.

How I Became A Quant

Author: Richard R. Lindsey
Publisher: John Wiley & Sons
ISBN: 9781118044759
Size: 67.64 MB
Format: PDF, Kindle
View: 216
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Praise for How I Became a Quant "Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!" --Ira Kawaller, Kawaller & Co. and the Kawaller Fund "A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions." --David A. Krell, President and CEO, International Securities Exchange "How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis." --Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management "Quants"--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.

My Life As A Quant

Author: Emanuel Derman
Publisher: John Wiley & Sons
ISBN: 1118428889
Size: 39.76 MB
Format: PDF, ePub, Docs
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In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Page by page, Derman details his adventures in this field—analyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets.

Credit Derivatives

Author: Geoff Chaplin
Publisher: John Wiley & Sons
ISBN: 0470689862
Size: 67.99 MB
Format: PDF
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The credit derivatives industry has come under close scrutiny over the past few years, with the recent financial crisis highlighting the instability of a number of credit structures and throwing the industry into turmoil. What has been made clear by recent events is the necessity for a thorough understanding of credit derivatives by all parties involved in a transaction, especially traders, structurers, quants and investors. Fully revised and updated to take in to account the new products, markets and risk requirements post financial crisis, Credit Derivatives: Trading, Investing and Risk Management, Second Edition, covers the subject from a real world perspective, tackling issues such as liquidity, poor data, and credit spreads, to the latest innovations in portfolio products, hedging and risk management techniques. The book concentrates on practical issues and develops an understanding of the products through applications and detailed analysis of the risks and alternative means of trading. It provides: a description of the key products, applications, and an analysis of typical trades including basis trading, hedging, and credit structuring; analysis of the industry standard 'default and recovery' and Copula models including many examples, and a description of the models' shortcomings; tools and techniques for the management of a portfolio or book of credit risks including appropriate and inappropriate methods of correlation risk management; a thorough analysis of counterparty risk; an intuitive understanding of credit correlation in reality and in the Copula model. The book is thoroughly updated to reflect the changes the industry has seen over the past 5 years, notably with an analysis of the lead up and causes of the credit crisis. It contains 50% new material, which includes copula valuation and hedging, portfolio optimisation, portfolio products and correlation risk management, pricing in illiquid environments, chapters on the evolution of credit management systems, the credit meltdown and new chapters on the implementation and testing of credit derivative models and systems. The book is accompanied by a website which contains tools for credit derivatives valuation and risk management, illustrating the models used in the book and also providing a valuation toolkit.