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Quantitative Finance with Python

Author: Chris Kelliher

Publisher: CRC Press

Published: 2022-05-19

Total Pages: 801

ISBN-13: 100058237X

Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.

Theoretical Foundations for Quantitative Finance

Author: Luca Spadafora

Publisher: World Scientific Publishing Company

Published: 2017-04-27

Total Pages: 224

ISBN-13: 9813202491

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This book provides simple introduction to quantitative finance for students and junior quants who want to approach the typical industry problems with practical but rigorous ambition. It shows a simple link between theoretical technicalities and practical solutions. Mathematical aspects are discussed from a practitioner perspective, with a deep focus on practical implications, favoring the intuition and the imagination. In addition, the new post-crisis paradigms, like multi-curves, x-value adjustments (xVA) and Counterparty Credit Risk are also discussed in a very simple framework. Finally, real world data and numerical simulations are compared in order to provide a reader with a simple and handy insight on the actual model performances. Request Inspection Copy Contents:IntroductionAll the Financial Math You Need to Survive with Interesting ApplicationsThe Pricing of Financial Derivatives — The Replica ApproachRisk-Neutral PricingThe Black and Scholes Framework and Its ExtensionRisk ModelingThe New Post-Crisis Paradigms Readership: Students and researchers in the fields of quantitative finance, risk management and stochastic analysis.

A Practical Guide To Quantitative Finance Interviews

Author: Xinfeng Zhou

Publisher:

Published: 2020-05-05

Total Pages: 210

ISBN-13: 9781735028804

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This book will prepare you for quantitative finance interviews by helping you zero in on the key concepts that are frequently tested in such interviews. In this book we analyze solutions to more than 200 real interview problems and provide valuable insights into how to ace quantitative interviews. The book covers a variety of topics that you are likely to encounter in quantitative interviews: brain teasers, calculus, linear algebra, probability, stochastic processes and stochastic calculus, finance and programming.

The Concepts and Practice of Mathematical Finance

Author: Mark Suresh Joshi

Publisher: Cambridge University Press

Published: 2003-12-24

Total Pages: 496

ISBN-13: 9780521823555

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For those starting out as practitioners of mathematical finance, this is an ideal introduction. It provides the reader with a clear understanding of the intuition behind derivatives pricing, how models are implemented, and how they are used and adapted in practice. Strengths and weaknesses of different models, e.g. Black-Scholes, stochastic volatility, jump-diffusion and variance gamma, are examined. Both the theory and the implementation of the industry-standard LIBOR market model are considered in detail. Uniquely, the book includes extensive discussion of the ideas behind the models, and is even-handed in examining various approaches to the subject. Thus each pricing problem is solved using several methods. Worked examples and exercises, with answers, are provided in plenty, and computer projects are given for many problems. The author brings to this book a blend of practical experience and rigorous mathematical background, and supplies here the working knowledge needed to become a good quantitative analyst.

Quantitative Finance And Risk Management: A Physicist's Approach

Author: Jan W Dash

Publisher: World Scientific Publishing Company

Published: 2004-07-09

Total Pages: 804

ISBN-13: 9813106212

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2nd Edition of Quantitative Finance and Risk Management: A Physicist's ApproachWritten by a physicist with over 15 years of experience as a quant on Wall Street, 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 research papers. Both standard and new results are presented. A “Technical Index” indicates the mathematical level — from zero to PhD — for each chapter. The finance in each chapter is self-contained. Real-life comments on “life as a quant” are included.An errata and Additions (3rd Reprint, 2008) to the book is available.

Practical Guide to Quantitative Finance Interviews

Author: Xinfeng Zhou

Publisher: Createspace Independent Publishing Platform

Published: 2008

Total Pages: 195

ISBN-13: 9781438236667

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PRAC QUANTITATIVE FINANCE W/R

Author: Jack Xu

Publisher: Unicad

Published: 2016-08-12

Total Pages: 420

ISBN-13: 9780979372575

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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.

Starting Your Career as a Wall Street Quant

Author: Brett Jiu

Publisher: Createspace Independent Publishing Platform

Published: 2010

Total Pages: 0

ISBN-13: 9781453823859

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Now updated and revised to reflect industry changes in the aftermath of the 2008 financial meltdown! First published in 2007, this unique career guide focuses on the quantitative finance job market. Written specifically for readers who want to get into quantitative finance, this book covers everything you wanted to know about landing a quant job, from writing an effective resume to acing job interviews to negotiating a job offer. An experienced senior quant, the author offers tons of practical, no-BS advice and tips to guide you through the difficult process of getting a quant job, especially in today's weak economy.

Introduction to R for Quantitative Finance

Author:

Publisher:

Published: 2013

Total Pages:

ISBN-13:

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Quantitative Financial Risk Management

Author: Constantin Zopounidis

Publisher: John Wiley & Sons

Published: 2015-06-08

Total Pages: 448

ISBN-13: 1118738225

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A Comprehensive Guide to Quantitative Financial Risk Management Written by an international team of experts in the field, Quantitative Financial Risk Management: Theory and Practice provides an invaluable guide to the most recent and innovative research on the topics of financial risk management, portfolio management, credit risk modeling, and worldwide financial markets. This comprehensive text reviews the tools and concepts of financial management that draw on the practices of economics, accounting, statistics, econometrics, mathematics, stochastic processes, and computer science and technology. Using the information found in Quantitative Financial Risk Management can help professionals to better manage, monitor, and measure risk, especially in today's uncertain world of globalization, market volatility, and geo-political crisis. Quantitative Financial Risk Management delivers the information, tools, techniques, and most current research in the critical field of risk management. This text offers an essential guide for quantitative analysts, financial professionals, and academic scholars.