Financial Data Analysis Using Python
暫譯: 使用 Python 進行金融數據分析

Zherlitsyn, Dmytro

Financial Data Analysis Using Python
  • 出版商: Mercury Learning and Information
  • 出版日期: 2025-01-01
  • 售價: $2,060
  • 貴賓價: 9.5 折 $1,957
  • 語言: 英文
  • 頁數: 505
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1501523864
  • ISBN-13: 9781501523861
  • 相關分類: Python

    • 海外代購書籍(需單獨結帳)

商品描述

This book will introduce essential concepts in financial analysis methods & 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 & techniques
- Uses Python visualization tools to justify investment and trading strategies
- Covers asset pricing & portfolio management methods with Python

商品描述(中文翻譯)

本書將介紹財務分析方法與模型中的基本概念，涵蓋時間序列分析、圖形分析、技術分析與基本面分析、資產定價與投資組合理論、投資與交易策略、風險評估與預測，以及金融機器學習實踐。將使用 Python 程式語言及其生態系統中的庫，如 Pandas、NumPy、SciPy、statsmodels、Matplotlib、Seaborn、Scikit-learn、Prophet 以及其他數據科學工具，來展示這些根植於財務概念的實踐範例。本書還將幫助您理解金融市場動態的概念，估算金融資產的盈利指標，預測趨勢，評估策略，優化投資組合，並管理金融風險。您還將學習使用 Python 程式語言的數據分析技術，以了解金融數據世界中的數據準備、可視化和操作的基本知識。

特色
- 使用 Python 數據科學庫和技術來說明財務數據分析
- 使用 Python 可視化工具來驗證投資和交易策略
- 涵蓋資產定價和投資組合管理方法，並使用 Python 進行分析

作者簡介

Dmytro Zherlitsyn, PhD, has dedicated over 20 years to university teaching, business training, financial consulting, scientific research & data analysis. He has authored over 250 academic publications (e-learning courses, textbooks, scientific papers & monographs) in Economics, Finance, Data Science, System Analysis & Software Engineering. His work encompasses the development of predictive models for business & market analysis, including advanced regression, simulation & machine learning methods for financial sectors & the cryptocurrency market.

作者簡介(中文翻譯)

Dmytro Zherlitsyn 博士在大學教學、商業訓練、財務諮詢、科學研究與數據分析方面已投入超過 20 年的時間。他在經濟學、金融學、數據科學、系統分析與軟體工程領域發表了超過 250 篇學術出版物（電子學習課程、教科書、科學論文與專著）。他的工作涵蓋了商業與市場分析的預測模型開發，包括針對金融領域與加密貨幣市場的先進回歸、模擬與機器學習方法。

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