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所在平台: Udemy |
课程主页: https://www.udemy.com/course/investment-analysis-portfolio-management-with-python/
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课程名称:投资分析与投资组合管理(使用Python) 课程概述:欢迎来到正确的金融分析!本课程旨在让您成为投资分析与投资组合管理的专业人士,利用Python的强大功能掌握严谨的投资分析技术。课程内容涵盖Python的多个强大模块,包括Pandas、NumPy、Matplotlib、Seaborn等,使用真实的金融数据进行深入学习。 课程将帮助您理解投资安全关系及回报估算,探索风险、回报和价格之间的强大关系。您将学习如何计算股票回报,掌握预期回报的估算方法,评估和量化投资风险,并了解财务顾问在投资组合管理中应做的工作。虽然需要一定的编码能力,但不需要有任何财务知识基础,课程从最基础的内容开始,逐步培养您成为金融分析的专家。 课程分为六个部分,内容包括: 1. **投资安全关系与回报估算的基础**:了解风险、回报与价格的关系,掌握金融分析的基本原理和手动及Python计算股票回报的技巧。 2. **预期回报估算**:使用均值法估算预期回报,并创建Python函数自动化该过程,探索资产定价模型(如CAPM)进行深入分析。 3. **风险及其关系的理解与测量**:手动及基于Python的全市风险估算,分析证券之间的关系,为投资组合管理提供实用知识。 4. **投资组合风险与回报测量**:评估多资产投资组合的回报与风险,并学习影响投资组合风险的因素。 5. **多样化与优化探索**:通过多样化降低风险,探索最优多样化及投资组合权重优化的数学技术,使用Python的SciPy库快速优化投资组合。 6. **多样化的分解**:深入分析多样化的重要性,重新思考证券关系对财务分析的影响。 本课程采用经过验证的教学方法,帮助过去的学生顺利通过考试,并在知名投资银行中就业,或成功管理自己的投资组合。课程提供丰富的例题、150+道练习题及详细解答,配有数学证明和资源,包括Python代码,确保学生掌握核心金融分析思维。告别信息过载,简洁高效的学习材料将使您轻松应对复杂的金融分析概念。 课程的设计旨在提升您的自信心,通过实例和逐步挑战的测验,帮助您应用所学知识。无论是针对在校生还是专业人士,本课程都适合您学习和提升金融分析能力。快来加入我们的学习旅程,成为投资分析与投资组合管理的专家吧!
Say hello to Financial Analysis done right. Become a PRO at Investment Analysis & Portfolio Management with Python. Apply robust techniques that are rigorously grounded in academic and practitioner literature using Python for Finance.Explore Python's robust modules including Pandas, NumPy, Matplotlib, Seaborn, and a whole lot more, working extensively with real world Finance data.Discover the simplicity and power of Python for Finance. Take command by creating your own functions, cleaning and wrangling real world data.Remove the guesswork by conquering the mathematics behind your own Investment Analysis & Portfolio Management process.Explore and master powerful relationships between stock prices, returns, and risk. Quantify and measure your investment risk, from scratch.Discover what your financial advisor should be doing to manage your portfolio - to manage your investments.While you do need to know how to code, there's no prior Finance knowledge required. We'll start you from the very basics, and build you to a financial analysis PRO, leveraging Python for Finance, thanks to:6 SECTIONS TO MASTERY (plus, all future updates included).Introduction: Understanding Investment Security Relationships & Estimating ReturnsExplore powerful relationships between risk, return, and price.Gain a solid command of the baseline fundamental law of Financial Analysis - The Law of One Price.Calculate stock returns for dividend and non-dividend paying stocks, manually.Download and work with real world data, and estimate stock returns on Python from scratch.Estimating Expected ReturnsEstimate expected returns using the average (mean) method.Create your own function on Python to automate the estimation of Expected Returns using the mean method.Estimate expected returns using 'state contingent weighted probabilities'.Take the analysis further by learning how to estimate expected returns using Asset Pricing Models including the Capital Asset Pricing Model (CAPM).You'll learn each approach theoretically AND practically, ensuring you fully understand why the formulas work the way they do.Understanding and Measuring Risk and RelationshipsEstimate the total risk of a stock manually and on Python.Estimate the market risk of a stock; again, manually and on Python!As a by-product of learning to measure the market risk, you'll also learn how to quantity the relationships between securities - something that will be a focal theme of portfolio management and investment / financial analysis.As with the expected returns, you'll learn to measure risk manually as on Python. Thanks to a solid understanding of why the equations work the way they do, you'll see how some defaults in Python's NumPy module can lead to inaccurate estimates.Measuring Portfolio Risk and ReturnEstimate the return of a 2 asset and multi-asset portfolio.Measure the risk of a 2 asset and multi-asset portfolio.Discover the 3 factors that influence / impact portfolio risk - 1 of which is more important than the other two combined!Explore how to calculate portfolio risk and returns on Python, from scratch.Exploring Diversification & OptimisationRisk reduction by diversification.Explore Optimal Diversification - identify the 'optimal' number of securities to hold.Optimise your portfolio weights to achieve a target expected return.Minimise your portfolio risk (mathematically) using robust financial analysis techniques, leveraging Python for Finance.Explore the power of Python's SciPy library to quickly and efficiently optimise your portfolios.Decomposing DiversificationInvestigate and explore why, fundamentally, diversification works for financial analysis / investment analysis.Rethink the way you measure the relationships between securities for financial analysis by extending the current measure.Explore precisely how and why the most important factor of risk influences / impacts portfolio risk.DESIGNED FOR DISTINCTIONWe've used the same tried and tested, proven to work teaching techniques that've helped our clients ace their exams and become chartered certified accountants, get hired by the most renowned investment banks in the world, and indeed, manage their own portfolios. Here's how we'll help you master financial analysis, take command of one of the most important concepts in Finance, and turn you into an Investment Analysis & Portfolio Management PRO:A Solid FoundationYou'll gain a solid foundation of the core fundamentals that drive the entire investment analysis and portfolio management process. These fundamentals are the essence of financial analysis done right. And form an integral part of Finance as a whole.Example WalkthroughsEvery major concept is taught with example question walkthroughs, so you can literally see how we analyse investments and conduct rigorous financial analysis, one step at a time.Loads of Practice QuestionsApply what you learn immediately with 150+ practice questions, all with impeccably detailed solutions.Cheat Sheets & ResourcesMathematical proofs, one page cheat sheets, workable.ipynb and.py Python code - all included.Say goodbye to information overload.Engage with carefully thought out, clutter-free, and engaging study materials that focus on the 20% finance fundamentals that drive 80% of the results.Easily follow through complex financial analysis concepts with great visuals that don't overdo it.Explore byte-sized lectures that don't cut corners - so you receive the right amount of information which will hold you in good stead wherever you go, whatever you move on to do.Finally understand why the math works.Learn why we divide some variables by something, and multiply other variables by something else. Get past the painful approach of memorising countless equations. Not only will we rip apart each equation one variable at a time, we'll also give you mathematical proofs that show the equation's logic one step at a time. Save yourself time and effort by understanding why the equation works the way it does. Then go out and create your own equations, and redefine the way you conduct your own financial analysis.Watch your confidence grow.Apply what you learn immediately in example question walkthroughs and progressively challenging quizzes with impeccably detailed solutions.Engage with over 150 questions ranging from simple true and false ones to more complex problems that take you outside your comfort zone.Questions are relevant for Ivy League / Russell Group University students studying any core Finance / Financial Analysis course, as well as professionals studying for the ICAEW CFAB, ACA, ACCA, and CFA qualifications.All questions designed in-house, by Russell Group Distinction Tutors.