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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