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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cfa-level-1-quantitative-methods-review/
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**课程名称：** 2016年数量方法回顾 **课程概述：** 本课程为特许金融分析师（CFA）一级考试的数量方法提供了一个简短的复习。课程涵盖了金融分析中至关重要的数量技术，这些技术在整个CFA课程中都有应用。 **主要内容：** * **货币的时间价值：** 理解货币的时间价值的概念及其在企业财务决策和各类证券估值中的应用。 * **贴现现金流应用：** 学习如何应用贴现现金流技术来描述和评估投资的回报与风险。 * **描述性统计：** 掌握描述性统计工具，用于整理和呈现数据。 * **概率概念：** 理解概率论的基础知识，以及其在不确定性下的投资决策中的作用。 * **常用概率分布：** 学习离散和连续概率分布，了解它们如何描述随机变量的行为，并应用于投资和风险管理。 * **抽样与估计：** 学习如何从样本数据中估计总体的参数，如均值和标准差。 * **假设检验：** 掌握用于检验和确认或拒绝关于总体参数的假设的技术。 * **技术分析：** 学习技术分析的基础知识，以及如何利用它来分析证券和证券市场。 **课程特色：** * 提供一个快速、全面的数量方法复习。 * 共包含十个短讲座，每个讲座时长10-15分钟，总时长约两小时。 * 旨在帮助考生在考前建立信心，顺利通过考试。 **重要提示：** 本课程不能替代《CFA特许金融分析师考试考生手册》（CBOK）的学习。强烈建议考生在学习本课程前，充分阅读CBOK，以扎实掌握数量方法的基础知识，再利用本课程进行快速、自信的考前复习。
This short review course on CFA Level 1 Quantitative Methods will give you a quick recap of all Quantitative topics for the CFA exam. This course cover the important quantitative techniques essential in financial analysis which are used throughout the CFA Program curriculum.I will cover all important topics including Time Value of Money, Discounted Cash Flow Applications, Probability Concepts, Common Probability Distributions, Sampling and Estimation, Hypothesis Testing, and Technical analysis. In ten short lectures of 10 to 15 mins I will help you revise the Quantitative methods course in around two hours and make you confident of passing the exam. Section 1 lectures will cover several tools of quantitative analysis such as time value of money, descriptive statistics, and probability. Time value of money calculations are the basic tools used to support corporate finance decisions and to estimate the fair value of fixed income, equity, and other types of securities or investments. After this Discounted Cash Flow Applications and descriptive statistics are reviewed which provide essential tools for describing and evaluating return and risk. In the final lecture of section 1 probability theory concepts are needed to understand investment decision making under conditions of uncertainty. Section 2 reviews discrete and continuous probability distributions most commonly used to describe the behavior of random variables. Probability theory and calculations are widely used in finance, for example, in the field of investment and project valuation and in financial risk management. Furthermore, this section explains how to estimate different parameters (e.g., mean and standard deviation) of a population if only a sample, rather than the whole population, can be observed. This lecture on Hypothesis testingpresents techniques that are used to accept or reject an assumed hypothesis (null hypothesis) about various parameters of a population. The final lecture goes over the fundamentals of technical analysis and illustrates how it is used to analyze securities and securities markets. Technical analysis is an investment approach that often makes use of quantitative methods. Be aware that this course is not a substitute for reading the CBOK. I urge you to read it to get a good understanding of Quantitative Methods and then use these lectures for quick and confident review before the exam.
