2016 Cfa Level 1 Quantitative Methods Review

[mitsumi]

Last updated 4/2016
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.21 GB | Duration: 2h 34m

This course will help you do a quick review of Quantitative Methods in 2 hours

What you'll learn
Have good knowledge of Quantitative Methods for CFA exam
Be confident of performing well on Quantiitative Methods portion of the CFA exam
Requirements
Should preferably have read Quanititative Methods topic from CFA CBOK.
Description
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.
Overview
Section 1: Study Session 1: Basic Concepts
Lecture 1 Introduction
Lecture 2 Reading 5 : The Time Value of Money
Lecture 3 Reading 6 Discounted Cash Flow Applications
Lecture 4 Reading 7 Statistical Concepts and Market Returns Part 1
Lecture 5 Reading 7 Statistical Concepts and Market Returns Part 2
Lecture 6 Reading 8 Probability Concepts
Section 2: Study Session 2: Application
Lecture 7 Reading 9 Common Probability Distributions
Lecture 8 Reading 10 Sampling and Estimation
Lecture 9 Reading 11 Hypothesis Testing
Lecture 10 Reading 12 Technical Analysis
Lecture 11 Organizing the last month
Lecture 12 Bonus Lecture: Coupon codes and Access to free courses
CFA Level 1 candidates

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