Advanced Statistical Methods with Python for Quantitative Finance : A Comprehensive Guide for 2025
Language: English
Published by Independently Published Jan 2025, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 54.38
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Add to basketItem description from seller
Neuware - Reactive Publishing 'Advanced Statistical Methods with Python for Quantitative Finance' offers a comprehensive exploration of cutting-edge statistical techniques tailored for financial data analysis and quantitative trading strategies. Designed for both aspiring and professional quants, this book delves into the core statistical principles and their direct application in financial modeling using Python.Key topics include time series analysis, multivariate statistical models, Monte Carlo simulations, and risk management frameworks, all presented through practical coding examples and real-world financial datasets. Readers will learn to apply statistical inference, regression techniques, and probabilistic models to optimize portfolio performance and develop robust algorithmic trading strategies.Whether you're a data scientist, quantitative trader, or finance professional, this guide provides the tools and insights needed to harness the power of statistical methods for more effective decision-making in the financial markets.…
Seller Inventory # 9798306172040
- Title
- Advanced Statistical Methods with Python for Quantitative Finance : A Comprehensive Guide for 2025
- Author
- Hayden van der Post
- Publisher
- Independently Published Jan 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798306172040
- Item weight
- 567 grams
- Dimensions
- 229x152x30 mm
"Advanced Statistical Methods with Python for Quantitative Finance" offers a comprehensive exploration of cutting-edge statistical techniques tailored for financial data analysis and quantitative trading strategies. Designed for both aspiring and professional quants, this book delves into the core statistical principles and their direct application in financial modeling using Python.
Key topics include time series analysis, multivariate statistical models, Monte Carlo simulations, and risk management frameworks, all presented through practical coding examples and real-world financial datasets. Readers will learn to apply statistical inference, regression techniques, and probabilistic models to optimize portfolio performance and develop robust algorithmic trading strategies.
Whether you're a data scientist, quantitative trader, or finance professional, this guide provides the tools and insights needed to harness the power of statistical methods for more effective decision-making in the financial markets.
"Synopsis" may belong to another edition of this title.
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