Publisher finelybook 出版社:Mercury Learning and Information
Edition 版本:N/A
Publication Date 出版日期:2024-12-19
Language 语言:English
Print Length 页数:480pages
ISBN-10:1501523864
ISBN-13:9781501523861
Book Description
This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.
FEATURES
Illustrates financial data analysis using Python data science libraries and techniques
Uses Python visualization tools to justify investment and trading strategies
Covers asset pricing and portfolio management methods with Python
About the Author
Dmytro Zherlitsyn, PhD, has dedicated over 20 years to university teaching, business training, financial consulting, scientific research, and data analysis. He has authored over 250 academic publications (e-learning courses, textbooks, scientific papers, and monographs) in Economics, Finance, Data Science, System Analysis, and Software Engineering. His work encompasses the development of predictive models for business and market analysis, including advanced regression, simulation, and machine learning methods for financial sectors, and the cryptocurrency market.
