CFA Level 2- Quantitative Methods
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CFA Level 2- Quantitative Methods

Level 2 of the CFA program offered by the CFA Institute, USA. This course covers the readings on Quantitative Methods.
5.0 (1 rating)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
8 students enrolled
Last updated 7/2017
English
Current price: $12 Original price: $40 Discount: 70% off
3 days left at this price!
30-Day Money-Back Guarantee
Includes:
  • 5.5 hours on-demand video
  • 35 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

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What Will I Learn?
  • Understand the concepts of Quantitative Methods in a crystal-clear manner with examples
  • Be prepared for about 10% of the CFA Level 2 exam by spending less than 6 hours!
View Curriculum
Requirements
  • If you have enrolled for Level 2 of CFA program, 2018, offered by CFA Institute, USA, then this course is right for you.
Description

This course covers all readings of Quantitative Methods (QM) of Level 2 of the CFA program (CFA Institute, USA). The course includes video lectures for readings on Correlation & Regression, Multiple Regression, Time Series Analysis and Probabilistic Approaches (Simulations, Decision Trees and Scenario Analysis). The course also includes solved questions of the QM module in the form of instructor-led video lectures. 

"Learn the concepts of Quantitative Methods in this comprehensive course"

"Be prepared for about 10% of the Level 2 exam in under 6 hours!"

This course is ideal for you if you are enrolled in Level 2 of the CFA program. However, it can also be taken up by those doing majors in Finance or working in the investment management industry.

Who is the target audience?
  • CFA Level 2 students
  • Anyone who wants to learn about regression analysis and time-series analysis
Compare to Other CFA Courses
Curriculum For This Course
35 Lectures
05:41:49
+
Lesson Proper
35 Lectures 05:41:49

This video gives an introduction to Correlation and Regression analysis and discusses the concept of covariance.

Preview 09:01

Calculating and interpreting the correlation coefficient, r.

Correlation and Regression- Part 2
08:19

Scatter plots and correlation coefficient

Correlation and Regression- Part 3
10:23

Testing the significance of correlation coefficient

Correlation and Regression- Part 4
08:34

This video discusses the regression model and the concept of sum of squared errors.

Correlation and Regression- Part 5
13:48

Subtopics covered are- Assumptions of linear regression, correlation coefficients, R-square and Standard of Error Estimate

Correlation and Regression- Part 6
09:41

Testing the significance of the independent variable in explaining the variation in the dependent variable

Correlation and Regression- Part 7
11:50

Calculating the value and confidence interval of the dependent variable

Correlation and Regression- Part 8
05:16

Introduction to ANOVA and the components of total variation

Correlation and Regression- Part 9
03:39

This lecture discusses ANOVA table with an example.

Correlation and Regression- Part 10
10:38

In this lecture, we'll learn about F-statistic and the limitations of regression analysis.

Correlation and Regression- Part 11
11:23

This lecture given an introduction to Multiple regression and discusses the interpretation of the result of multiple regression analysis.

Preview 07:33

This lecture shows 2 ways of testing for the statistical significance of the independent variable in explaining the variation in dependent variable- confidence interval and t-test.

Multiple Regression- Part 2
10:14

In this video, we look at some different cases for conducting the t-test.

Multiple Regression- Part 3
08:13

Here, we'll learn about p-value and about predicting the value of the dependent variable.

Multiple Regression- Part 4
06:55

In this video, we will discuss ANOVA (Analysis of Variance), R-square and adjusted R-square.

Multiple Regression- Part 5
11:51

This video discusses F-statistic used to test the utility of the model as a whole. 

Multiple Regression- Part 6
06:56

Here, we look at a comprehensive example of Multiple Regression.

Multiple Regression- Part 7
13:48

In this part, we'll learn how to do regression analysis with dummy variables.

Multiple Regression- Part 8
17:28

This video starts the discussion on issues in regression analysis, and explains the concept of heteroskedasticity.

Multiple Regression- Part 9
08:10

In this video, we continue with the discussion on heteroskedasticity.

Multiple Regression- Part 10
12:06

This video discusses autocorrelation, also known as serial correlation.

Preview 14:05

This video discusses the concept of multicollinearity.

Multiple Regression- Part 12
10:45

This video given an introduction to time series and discusses a linear trend model and a log-linear trend model.

Preview 13:34

Linear trend model versus Log-linear trend model

Time Series Analysis- Part 2
04:45

Here, we discuss an autoregressive model.

Time Series Analysis- Part 3
13:06

Here, we discuss about the mean-reverting level of a time series and the in-sample & out-of-sample forecasts.

Time Series Analysis- Part 4
10:55

This video discusses the concept of a covariance stationary time series. We look into the three conditions of covariance stationarity and Dicky Fuller test used to detect if a time series is covariance stationary or not.

Time Series Analysis- Part 5
12:31

Here, we see how we can correct a time series if it is not covariance stationary, which is by first differencing.

Time Series Analysis- Part 6
05:00

This video discusses seasonality in an autoregressive model.

Time Series Analysis- Part 7
13:30

This video discusses Autoregressive Conditional Heteroskedasticity (ARCH) models.

Time Series Analysis- Part 8
08:04

In this last part of Time series, we discuss the concept of cointegration.

Time Series Analysis- Part 9
03:59

We look at simulation as a risk assessment tool.

Probabilistic Approaches- Part 1
12:32

We continue with the discussion on simulation analysis.

Probabilistic Approaches- Part 2
10:08
About the Instructor
Monika Khetan, CFA
5.0 Average rating
1 Review
8 Students
1 Course
Instructor at Infinity Institute

I have done MBA in Finance, post which I worked for two years as an equity research analyst for a multinational finance company. I have cleared all 3 levels of CFA and have also taught a course on Business Analysis and Valuation at a Business school. Last year, I started Infinity Institute of Professional Studies to pursue my passion for teaching and sharing my knowledge with millions across the globe.