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Financial Economtrics with Python|Reactive Publishing

Financial Economtrics with Python : A Pythonic Guide for 2024

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Earliest ship date: May 26, 2026
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Overview

Reactive Publishing

Master financial econometrics and Python programming to analyze, predict, and strategize in financial markets. This comprehensive guide offers:

  1. Core Principles: Understand econometrics and its applications in finance with beginner-friendly Python programming.
  2. Advanced Techniques: Implement ARIMA, GARCH, VAR models, time series analysis, volatility modeling, and predictive analytics using Python.
  3. Real-World Applications: Solve practical problems with real financial data, including stock markets and cryptocurrencies.
  4. Data-Driven Insights: Use Pandas, NumPy, StatsModels, and SciPy for data processing and analysis. Visualize trends with Matplotlib and Seaborn.
  5. 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.

This item is Non-Returnable

Details

  • ISBN-13: 9798329104905
  • ISBN-10: 9798329104905
  • Publisher: Independently Published
  • Publish Date: June 2024
  • Dimensions: 9 x 6 x 0.93 inches
  • Shipping Weight: 0.99 pounds
  • Page Count: 374

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