In this module of CFA series, you will be learning about Quantitative Methods from CFA curriculum for appearing the Level 2 examination successfully.
CFA II (Part #5) – Quantitative Methods:
The CFA charter is one of the most respected designations in finance, considered by many to be the gold standard in the field of investment analysis. Its uses lay in various dimensions of the financial world, including portfolio management, treasury, risk management, Hedge Funds etc.
This is a CFA Curriculum – Quantitative Methods course and is designed for those who want to learn about quants to appear for CFA examination. You would be learning about Correlation, Covariation, Covariance of returns, Correlation, Limitations of Correlation, Hypothesis Testing, Linear Regression, Limitations of Regression, Linear Regression of Returns, Predicted Values, Confidence Intervals, Anova, Calculating R Square, Limitations of Regression and many more concepts which is included in CFA Curriculum.
Course Objective:
- To summarize material in accordance to the Learning Outcome Statements provided by CFA institute
- To create a solid understanding of the ground concepts. This can then be carried upon by candidates in the levels ahead.
Target Customers:
- Students
- Professionals
- Others who are interested in a career in Investment Management
Pre-Requisites:
Bachelor’s degree or equivalent. An exemption can be made where you can write the CFA level 2 if you
a) Are in the final year of your undergraduate program,
b) Have four years of professional experience, or
c) Have a combination of both, equating to at least four years.
Passion to learn. It is not an easy program to complete. It is considered as one of the toughest degrees to obtain in the financial world.
For any query give a miss call:
08587999769
Section 1 Quantitative Methods
1 Introduction to Quantitative Methods
2 Correlation
3 Covariance of Returns
4 Limitations of Correlation
5 Hypthesis Testing
6 Limitations of Regression
7 Linear Regression of Return
8 Confidence Intervals
9 Anova
10 Calculating R Square
11 Formulating Regressions
12 Interpreting P Values
13 Confidence Intervals
14 Assumptions of Multiple Regression
15 F Statistic
16 Interpreting R square
17 Dummy Variables
18 Violations of Regression Assumptions
19 Heteroskedasticity
20 Heteroskedasticity Diagram
21 Serial Correlation
22 Serial Correlation Continues
23 Multicollinearity
24 Model Misspecification
25 Qualitative Dependent Variables
26 Trend Models
27 Autoregressive Models
28 Forecasting with AR Models
29 Mean Reversion
30 Regression Coefficient Instability
31 First Difference and Explosive Root
32 Seasonality Factor
33 Seasonality Factor Continues
34 Auto Regressive Conditional Heterosexuality
35 ARCH Models
36 Multiple Time Series
Here is a sample for the course completion certificate which you will receive after complete the course. This certificate is widely accepted across industries and will boost your chances to grab the job opportunities.
Mail us at: [email protected] with below details to receive your certificate:
- Name
- Course Name
- Date of Completion
- Address
