![]() ![]() In addition to this, you’ll be able to forecast stock prices using Monte Carlo simulation. Sections on regression analysis methodology will help you to value assets and understand the relationship between commodity prices and business stocks. The following chapters will help you gain an understanding of how to measure the diversifiable and non-diversifiable security risk of a portfolio and optimize your portfolio by implementing Markowitz Portfolio Optimization. Next, you’ll implement time series analysis using pandas and DataFrames. The book starts with major concepts and techniques related to quantitative finance, and an introduction to some key Python libraries. With this book, you’ll explore the key characteristics of Python for finance, solve problems in finance, and understand risk management. Python is one of the most popular languages used for quantitative finance. Hands-On Python for Finance: Learn and implement quantitative finance using popular Python libraries like NumPy, pandas, and Keras ![]()
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