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所在平台: Udemy |
课程主页: https://www.udemy.com/course/quantitative-finance-build-portfolios-using-python/
课程评论：没有评论
课程名称：定量金融：Python 完整指南 课程概述：解锁定量金融的世界，提升您的技能，参加我们的全面课程《定量金融：使用 Python 构建投资组合》。本课程专为初学者设计，旨在揭示金融理论的复杂性，并为您提供实用工具，以在金融市场中做出数据驱动的决策。您将从基础知识开始，探讨股票、债券和衍生品等金融工具。接下来，您将深入了解货币的时间价值（TVM），理解资金如何随时间增长以及如何评估投资。 随着课程的深入，您将掌握风险与收益的概念，学习如何量化风险并衡量投资组合的表现。我们将深入探讨投资组合理论，教您如何构建高效的投资组合，绘制有效边界，并找到最佳的风险-收益组合。您还将探索资本资产定价模型（CAPM）和证券市场线（SML），以评估资产表现。 在衍生品部分，您将了解期权、期货和互换，并实施布莱克-斯科尔斯模型（BSM）对期权进行定价。同时，我们还将讨论实际应用。此外，本课程介绍风险管理概念，重点关注风险价值（VaR）和条件风险价值（CVaR），确保您具备管理市场不确定性的能力。 在整个课程中，您将使用 Python 作为工具，利用 Plotly、Pandas 和 YFinance 等库进行金融分析、可视化和优化。通过本课程，您将建立坚实的定量金融基础，掌握构建、分析和优化投资组合的技能。现在就加入我们，迈出掌握金融与技术交汇点的第一步！
Unlock the world of Quantitative Finance and take your skills to the next level with our comprehensive course, Quantitative Finance: Build Portfolios Using Python. Designed for beginners, this course demystifies the complex world of financial theory and equips you with practical tools to make data-driven decisions in the financial markets.You'll start with the fundamentals, exploring financial instruments like stocks, bonds, and derivatives. From there, you'll delve into the Time Value of Money (TVM), understanding how money grows over time and how to evaluate investments. Moving forward, you'll master concepts of risk and return, learning how to quantify risks and measure portfolio performance.Our deep dive into Portfolio Theory will teach you how to construct an efficient portfolio, plot the Efficient Frontier, and find optimal risk-return combinations. You'll also explore the Capital Asset Pricing Model (CAPM) and Security Market Line (SML) to assess asset performance.In the Derivatives section, you'll gain insight into options, futures, and swaps, and implement the Black-Scholes Model (BSM) to price options. We'll also discuss real-world applications.Additionally, the course introduces Risk Management concepts, focusing on Value at Risk (VaR) and Conditional VaR (CVaR), ensuring you're equipped to manage uncertainty in the markets.Throughout the course, you'll use Python as your toolkit, leveraging libraries like Plotly, Pandas, and YFinance for financial analysis, visualisation and optimisation. By the end, you'll have a strong foundation in quantitative finance and the skills to build, analyse, and optimise investment portfolios.Join now and take the first step toward mastering the intersection of finance and technology!
