Financial Econometrics with Python: A Pythonic Guide for 2024 (Programming for Financial Econometrics Book 3)
₹978.00
Price: ₹978.00
(as of Oct 27, 2025 15:12:45 UTC – Details)
Reactive Publishing
Master financial econometrics and Python programming to analyze, predict, and strategize in financial markets. This comprehensive guide offers:
Core Principles: Understand econometrics and its applications in finance with beginner-friendly Python programming.Advanced Techniques: Implement ARIMA, GARCH, VAR models, time series analysis, volatility modeling, and predictive analytics using Python.Real-World Applications: Solve practical problems with real financial data, including stock markets and cryptocurrencies.Data-Driven Insights: Use Pandas, NumPy, StatsModels, and SciPy for data processing and analysis. Visualize trends with Matplotlib and Seaborn.Practical Implementation: Follow step-by-step tutorials and exercises to develop and backtest trading strategies.
Why Choose This Book:
High Demand Skills: Equip yourself with sought-after financial and programming skills.Practical Focus: Hands-on examples and real data applications.Expert Author: Insights from a seasoned financial analyst and data scientist.Comprehensive Coverage: Suitable for beginners to advanced practitioners.Engaging Content: Clear explanations and practical exercises for easy learning.
Ideal For:
Financial analysts, economists, and data scientists.Students and academics in finance and data science.Finance professionals looking for data-driven insights.
Unlock financial econometrics with Python to make informed investment decisions and develop effective trading strategies.
ASIN : B0D7QGX98P
Publisher : Reactive Publishing; 5th edition (20 June 2024)
Language : English
File size : 1.7 MB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 402 pages
Best Sellers Rank: #541,667 in Kindle Store (See Top 100 in Kindle Store) #1,015 in Econometrics & Statistics #1,866 in Python Programming #3,515 in Economics (Kindle Store)
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