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Quantitative Finance With Python

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Quantitative Finance With Python

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Author : Chris Kelliher
language : en
Publisher: CRC Press
Release Date : 2022-05-19

Quantitative Finance With Python written by Chris Kelliher and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-19 with Business & Economics categories.

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.

Python For Finance

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Author : Yuxing Yan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-04-25

Python For Finance written by Yuxing Yan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-25 with Computers categories.

A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.

Quantitative Finance With Case Studies In Python

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Author : Chris Kelliher
language : en
Publisher: CRC Press
Release Date : 2025-11-07

Quantitative Finance With Case Studies In Python written by Chris Kelliher and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-07 with Business & Economics categories.

Quantitative Finance with Case Studies in 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. This new edition includes brand new material on data science and AI concepts, including large language models, as well as updated content to reflect the transition from Libor to SOFR to bring the text right up to date. It also includes expanded material on inflation, mortgage-backed securities and counterparty risk. In addition, there is an increased emphasis on trade ideas, as well as examples throughout based on recent market dynamics, including the post-Covid inflation shock. Overall, the new edition is designed to be even more of a practical tool than the first edition, and more firmly rooted in real-world data, applications, and examples. 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 concepts of Machine Learning and Artificial Intelligence - Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https: //github.com/lingyixu/Quant-Finance-With-Python-Code.[CK1]

Applied Quantitative Finance

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Author : Mauricio Garita
language : en
Publisher:
Release Date : 2021

Applied Quantitative Finance written by Mauricio Garita and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

This book provides conceptual knowledge on quantitative finance and a hands-on experience using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and also the interpretation of the results. The book will satisfy the lack of information concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of advance finance as it gives a descriptive process for students, academics and practitioners. .

Python For Finance

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Author : Yves Hilpisch
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-12-11

Python For Finance written by Yves Hilpisch and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-11 with Computers categories.

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies

Introduction To Python

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Author : Lilan Li
language : en
Publisher: Lan LI
Release Date : 2021-07-27

Introduction To Python written by Lilan Li and has been published by Lan LI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Computers categories.

It is a book for both beginners and experienced professionals who either have a relevant educational background or are interested in learning Python under the data science or quantitative finance background. No prior experience in Python is required. It is a practical book complete with working code that guides the reader through the basics of Python. Topics are introduced gradually, each building on the last. The examples are either run in a command line or an editor. Jupyter notebook examples are presented in later part of the book where mathematical models and data analysis of time series are introduced. BY THE END OF THIS BOOK, YOU WILL BE ABLE TO : •gain a general understanding of Python •write basic Python code •write Python function to perform efficient data analysis and simple financial model analysis for those who have prior knowledge of programming ( you could skip the first chapter) WHO IS THIS BOOK FOR This book is directed at both industry practitioners and students interested in learning python for financial modelling or/and data science purpose. It helps to advance your career either within the finance modelling arena or the Data science field! You will also find this book useful if you want to extend the your existing programming language knowledge in another application field.

Applied Quantitative Finance

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Author : Mauricio Garita
language : en
Publisher: Springer Nature
Release Date : 2021-09-03

Applied Quantitative Finance written by Mauricio Garita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-03 with Business & Economics categories.

This book provides both conceptual knowledge of quantitative finance and a hands-on approach to using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and interpret results. This book offers practical applications in the field of finance concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of finance as it gives a descriptive process for students, academics and practitioners.

Mastering R For Quantitative Finance

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Author : Edina Berlinger
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-03-10

Mastering R For Quantitative Finance written by Edina Berlinger and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-10 with Computers categories.

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.

Numpy For Quantitative Finance

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Author : Reactive Publishing
language : en
Publisher: Independently Published
Release Date : 2024-06-04

Numpy For Quantitative Finance written by Reactive Publishing and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Business & Economics categories.

Reactive Publishing Unlock the potential of NumPy in the realm of quantitative finance with "NumPy with Quantitative Finance," an essential guide for financial analysts, data scientists, and quantitative researchers. This expert-level book bridges the gap between Python programming and financial theory, providing a comprehensive resource for applying NumPy to solve complex financial problems. Dive into financial data manipulation, statistical analysis, and mathematical modeling using NumPy's robust array processing capabilities. This book offers practical, hands-on examples and detailed explanations to help you master key concepts such as portfolio optimization, risk management, derivatives pricing, and algorithmic trading. Written by industry experts, "NumPy with Quantitative Finance" covers: Efficient data handling and preprocessing for financial datasets Advanced statistical methods and time series analysis Implementation of Monte Carlo simulations for risk assessment Optimization techniques for portfolio management Pricing of complex derivatives using numerical methods Development of quantitative trading strategies With this book, you'll gain the knowledge and skills to leverage NumPy for powerful quantitative finance applications, enhancing your analytical capabilities and driving more informed financial decisions. Elevate your expertise and stay ahead in the competitive financial landscape.

Python For Finance

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Author : Yves Hilpisch
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-12-11

Quantitative Finance With Python

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