ISBN: 9798306172040 - advanced statistical methods with python for quantitative finance: a comprehensive guide for 2025 (9 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. 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.…

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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…