Quantitative Trading with R

Quantitative Trading with R
Author: Harry Georgakopoulos
Publsiher: Springer
Total Pages: 272
Release: 2015-02-02
ISBN: 1137437472
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Quantitative Trading with R Book Excerpt:

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.

Automated Trading with R

Automated Trading with R
Author: Chris Conlan
Publsiher: Apress
Total Pages: 217
Release: 2016-09-28
ISBN: 1484221788
Category: Computers
Language: EN, FR, DE, ES & NL

Automated Trading with R Book Excerpt:

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

Quantitative Trading with R

Quantitative Trading with R
Author: Harry Georgakopoulos
Publsiher: Palgrave Macmillan
Total Pages: 292
Release: 2015-01-06
ISBN: 9781137354075
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Quantitative Trading with R Book Excerpt:

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.

PRAC QUANTITATIVE FINANCE W R

PRAC QUANTITATIVE FINANCE W R
Author: Jack Xu
Publsiher: Unicad
Total Pages: 420
Release: 2016-08-12
ISBN: 9780979372575
Category: Business & Economics
Language: EN, FR, DE, ES & NL

PRAC QUANTITATIVE FINANCE W R Book Excerpt:

The book provides a complete explanation of R programming in quantitative finance. It demonstrates how to prototype quant models and backtest trading strategies. It pays special attention to creating business applications and reusable R libraries that can be directly used to solve real-world problems in quantitative finance.

Mastering R for Quantitative Finance

Mastering R for Quantitative Finance
Author: Edina Berlinger,Ferenc Illés,Milán Badics,Ádám Banai,Gergely Daróczi,Barbara Dömötör,Gergely Gabler,Dániel Havran,Péter Juhász,István Margitai,Balázs Márkus,Péter Medvegyev,Julia Molnár,Balázs Árpád Szűcs,Ágnes Tuza,Tamás Vadász,Kata Váradi,Ágnes Vidovics-Dancs
Publsiher: Packt Publishing Ltd
Total Pages: 362
Release: 2015-03-10
ISBN: 1783552085
Category: Computers
Language: EN, FR, DE, ES & NL

Mastering R for Quantitative Finance Book Excerpt:

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.

Quantitative Trading

Quantitative Trading
Author: Ernest P. Chan
Publsiher: John Wiley & Sons
Total Pages: 259
Release: 2021-07-27
ISBN: 1119800064
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Quantitative Trading Book Excerpt:

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm. You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examples A new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.

Learning Quantitative Finance with R

Learning Quantitative Finance with R
Author: Dr Param Jeet,Prashant Vats
Publsiher: Packt Publishing
Total Pages: 284
Release: 2017-03-23
ISBN: 9781786462411
Category: Computers
Language: EN, FR, DE, ES & NL

Learning Quantitative Finance with R Book Excerpt:

Implement machine learning, time-series analysis, algorithmic trading and moreAbout This Book- Understand the basics of R and how they can be applied in various Quantitative Finance scenarios- Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.- Contain different methods to manage risk and explore trading using Machine Learning.Who This Book Is ForIf you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required.What You Will Learn- Get to know the basics of R and how to use it in the field of Quantitative Finance- Understand data processing and model building using R- Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis- Build and analyze quantitative finance models using real-world examples- How real-life examples should be used to develop strategies- Performance metrics to look into before deciding upon any model- Deep dive into the vast world of machine-learning based trading- Get to grips with algorithmic trading and different ways of optimizing it- Learn about controlling risk parameters of financial instrumentsIn DetailThe role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language.You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate.We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging.By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R.Style and approachThis book introduces you to the essentials of quantitative finance with the help of easy-to-understand, practical examples and use cases in R. Each chapter presents a specific financial concept in detail, backed with relevant theory and the implementation of a real-life example.

Quantitative Trading

Quantitative Trading
Author: Ernest P. Chan
Publsiher: John Wiley & Sons
Total Pages: 259
Release: 2021-06-21
ISBN: 1119800072
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Quantitative Trading Book Excerpt:

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm. You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examples A new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.

Quantitative Trading

Quantitative Trading
Author: Xin Guo,Tze Leung Lai,Howard Shek,Samuel Po-Shing Wong
Publsiher: CRC Press
Total Pages: 357
Release: 2017-01-06
ISBN: 1498706495
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Quantitative Trading Book Excerpt:

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.

Quantitative Energy Finance

Quantitative Energy Finance
Author: Fred Espen Benth,Valery A. Kholodnyi,Peter Laurence
Publsiher: Springer Science & Business Media
Total Pages: 308
Release: 2013-08-28
ISBN: 1461472482
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Quantitative Energy Finance Book Excerpt:

Finance and energy markets have been an active scientific field for some time, even though the development and applications of sophisticated quantitative methods in these areas are relatively new—and referred to in a broader context as energy finance. Energy finance is often viewed as a branch of mathematical finance, yet this area continues to provide a rich source of issues that are fuelling new and exciting research developments. Based on a special thematic year at the Wolfgang Pauli Institute (WPI) in Vienna, Austria, this edited collection features cutting-edge research from leading scientists in the fields of energy and commodity finance. Topics discussed include modeling and analysis of energy and commodity markets, derivatives hedging and pricing, and optimal investment strategies and modeling of emerging markets, such as power and emissions. The book also confronts the challenges one faces in energy markets from a quantitative point of view, as well as the recent advances in solving these problems using advanced mathematical, statistical and numerical methods. By addressing the emerging area of quantitative energy finance, this volume will serve as a valuable resource for graduate-level students and researchers studying financial mathematics, risk management, or energy finance.

Handbook of Quantitative Finance and Risk Management

Handbook of Quantitative Finance and Risk Management
Author: Cheng-Few Lee,John Lee
Publsiher: Springer Science & Business Media
Total Pages: 1716
Release: 2010-06-14
ISBN: 0387771174
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Handbook of Quantitative Finance and Risk Management Book Excerpt:

Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.

A First Course in Quantitative Finance

A First Course in Quantitative Finance
Author: Thomas Mazzoni
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2018-03-22
ISBN: 1108317642
Category: Business & Economics
Language: EN, FR, DE, ES & NL

A First Course in Quantitative Finance Book Excerpt:

This new and exciting book offers a fresh approach to quantitative finance and utilises novel features, including stereoscopic images which permit 3D visualisation of complex subjects without the need for additional tools. Offering an integrated approach to the subject, A First Course in Quantitative Finance introduces students to the architecture of complete financial markets before exploring the concepts and models of modern portfolio theory, derivative pricing and fixed income products in both complete and incomplete market settings. Subjects are organised throughout in a way that encourages a gradual and parallel learning process of both the economic concepts and their mathematical descriptions, framed by additional perspectives from classical utility theory, financial economics and behavioural finance. Suitable for postgraduate students studying courses in quantitative finance, financial engineering and financial econometrics as part of an economics, finance, econometric or mathematics program, this book contains all necessary theoretical and mathematical concepts and numerical methods, as well as the necessary programming code for porting algorithms onto a computer.

Quantitative Finance with R and Cryptocurrencies

Quantitative Finance with R and Cryptocurrencies
Author: Dean Fantazzini
Publsiher: Independently Published
Total Pages: 588
Release: 2019-05-20
ISBN: 9781090685315
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Quantitative Finance with R and Cryptocurrencies Book Excerpt:

The main objective of this book is to provide the necessary background to analyze cryptocurrencies markets and prices. To this end, the book consists of three parts: the first one is devoted to cryptocurrencies markets and explains how to retrieve cryptocurrencies data, how to compute liquidity measures with these data, how to calculate bounds for Bitcoin (and cryptocurrencies) fundamental value and how competing exchanges contribute to the price discovery process in the Bitcoin market. The second part is devoted to time series analysis with cryptocurrencies and presents a large set of univariate and multivariate time series models, tests for financial bubbles and explosive price behavior, as well as univariate and multivariate volatility models. The third part focuses on risk and portfolio management with cryptocurrencies and shows how to measure and backtest market risk, how to build an optimal portfolio according to several approaches, how to compute the probability of closure/bankruptcy of a crypto-exchange, and how to compute the probability of death of crypto-assets.All the proposed methods are accompanied by worked-out examples in R using the packages bitcoinFinance and bubble.This book is intended for both undergraduate and graduate students in economics, finance and statistics, financial and IT professionals, researchers and anyone interested in cryptocurrencies financial modelling. Readers are assumed to have a background in statistics and financial econometrics, as well as a working knowledge of R software.

Algorithmic Trading with Python

Algorithmic Trading with Python
Author: Chris Conlan
Publsiher: Independently Published
Total Pages: 126
Release: 2020-04-09
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Algorithmic Trading with Python Book Excerpt:

Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reprocibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.

Ethics in Quantitative Finance

Ethics in Quantitative Finance
Author: Timothy Johnson
Publsiher: Springer
Total Pages: 339
Release: 2017-10-28
ISBN: 3319610392
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Ethics in Quantitative Finance Book Excerpt:

This book presents an ethical theory for financial transactions that underpins the stability of modern economies. It combines elements from history, ethics, economics and mathematics to show how these combined can be used to develop a pragmatic theory of financial markets. Written in three sections; section one examines the co-evolution of finance and mathematics in an ethical context by focusing on three periods: pre-Socratic Greece, Western Europe in the thirteenth century and North-western Europe in the seventeenth century to demonstrate how the historical development of markets and finance were critical in the development of European ideas of science and democracy. Section two interprets the evidence presented in section one to provide examples of the norms reciprocity, sincerity and charity and introduce the pragmatic theory. Section three uses the pragmatic theory to interpret recent financial crises, address emergent phenomena and relate the theory to alternative contemporary theories of markets. Presenting a unique synthesis of mathematical and behavioural approaches to finance this book provides explicit ethical guidance that will be of interest to academics and practitioners alike.

Quantitative Finance and Risk Management

Quantitative Finance and Risk Management
Author: Jan W Dash
Publsiher: World Scientific Publishing Company
Total Pages: 1000
Release: 2016-05-10
ISBN: 9814571253
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Quantitative Finance and Risk Management Book Excerpt:

Written by a physicist with extensive experience as a risk/finance quant, this book treats a wide variety of topics. Presenting the theory and practice of quantitative finance and risk, it delves into the "how to" and "what it's like" aspects not covered in textbooks or papers. A "Technical Index" indicates the mathematical level for each chapter. This second edition includes some new, expanded, and wide-ranging considerations for risk management: Climate Change and its long-term systemic risk; Markets in Crisis and the Reggeon Field Theory; "Smart Monte Carlo" and American Monte Carlo; Trend Risk — time scales and risk, the Macro–Micro model, singular spectrum analysis; credit risk: counterparty risk and issuer risk; stressed correlations — new techniques; and Psychology and option models. Solid risk management topics from the first edition and valid today are included: standard/advanced theory and practice in fixed income, equities, and FX; quantitative finance and risk management — traditional/exotic derivatives, fat tails, advanced stressed VAR, model risk, numerical techniques, deals/portfolios, systems, data, economic capital, and a function toolkit; risk lab — the nuts and bolts of risk management from the desk to the enterprise; case studies of deals; Feynman path integrals, Green functions, and options; and "Life as a Quant" — communication issues, sociology, stories, and advice.

Algorithmic Trading and Quantitative Strategies

Algorithmic Trading and Quantitative Strategies
Author: Raja Velu,Maxence Hardy,Daniel Nehren
Publsiher: CRC Press
Total Pages: 400
Release: 2018-10-15
ISBN: 9781498737166
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Algorithmic Trading and Quantitative Strategies Book Excerpt:

This book brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies. The book provides a comprehensive description of the methodologies both published and unpublished, but being practiced. The strength of the book is the intuitive approach to developing algorithms - based on statistical techniques, machine learning ideas, and optimization methods.

Change of Time Methods in Quantitative Finance

Change of Time Methods in Quantitative Finance
Author: Anatoliy Swishchuk
Publsiher: Springer
Total Pages: 128
Release: 2016-05-31
ISBN: 331932408X
Category: Mathematics
Language: EN, FR, DE, ES & NL

Change of Time Methods in Quantitative Finance Book Excerpt:

This book is devoted to the history of Change of Time Methods (CTM), the connections of CTM to stochastic volatilities and finance, fundamental aspects of the theory of CTM, basic concepts, and its properties. An emphasis is given on many applications of CTM in financial and energy markets, and the presented numerical examples are based on real data. The change of time method is applied to derive the well-known Black-Scholes formula for European call options, and to derive an explicit option pricing formula for a European call option for a mean-reverting model for commodity prices. Explicit formulas are also derived for variance and volatility swaps for financial markets with a stochastic volatility following a classical and delayed Heston model. The CTM is applied to price financial and energy derivatives for one-factor and multi-factor alpha-stable Levy-based models. Readers should have a basic knowledge of probability and statistics, and some familiarity with stochastic processes, such as Brownian motion, Levy process and martingale.

Quantitative Trading 2nd Edition

Quantitative Trading  2nd Edition
Author: Ernest Chan
Publsiher: Unknown
Total Pages: 0
Release: 2021
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Quantitative Trading 2nd Edition Book Excerpt:

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm. You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examples A new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.

Natural Computing in Computational Finance

Natural Computing in Computational Finance
Author: Anthony Brabazon,Michael O'Neill,Dietmar G. Maringer
Publsiher: Springer
Total Pages: 241
Release: 2010-07-11
ISBN: 3642139507
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Natural Computing in Computational Finance Book Excerpt:

The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.