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Details for:
Van Der Post H. Financial Econometrics with Python. A Pythonic Guide 5ed 2024
van der post h financial econometrics python pythonic guide 5ed 2024
Type:
E-books
Files:
2
Size:
2.4 MB
Uploaded On:
July 31, 2024, 4:46 p.m.
Added By:
andryold1
Seeders:
12
Leechers:
1
Info Hash:
DD614BB0B4EEC68DA5B8CBA0468BF173D60F4A90
Get This Torrent
Textbook in PDF format 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
Get This Torrent
Readme_!!!.txt
1.2 KB
Van Der Post H. Financial Econometrics with Python. A Pythonic Guide 5ed 2024.pdf
2.4 MB
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