Course Curriculums
As mentioned in course objective, Eviews – Econometrics modelling course aims to provide quantitative/econometrics modelling skills typically/specifically in Finance sector. Quantitative methods and predictive modelling concepts could be extensively used in understanding the financial markets movements, and studying tests and effects. The course picks theoretical and practical datasets for econometrics/quantitative/predictive analysis. Implementations are done using Eviews software. Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training. The course also emphasizes on the regression models, and AIMS to also cover Auto-Correlation, Co-Integration and ARCH (Auto Regressive Conditional Heteroscedasticity) models
? Essential skillsets – Prior knowledge of Quantitative methods and MS Office, Paint
? Desired skillsets — Understanding of Data Analysis and VBA toolpack in MS Excel will be useful
The course works across multiple software packages such as Eviews, MS Office, PDF writers, and Paint. Furthermore, the course is distributed across 4 sub-courses details of which are bulleted below, with brief description
Course 1: Eviews and Its Application to Econometrics Modelling: This course aims to provide basic to intermediate skills on implementing Econometrics/Predictive modelling concepts using Eviews software. Whilst its important to develop understanding of econometrics/quantitative modelling concepts, its equally important to be able to implement it using suitable software packages. This course fills the gap between understanding the concepts and implementing them practically
Course 2: Descriptive Statistics, Means, Standard Deviation and T-test – This course explains descriptive statistics concepts which will act as building blocks to subsequent courses
Course 3: Correlation Techniques – Correlation techniques explain relationships across variables and are important in explain the model fitment in regression courses
Course 4: Regression modelling — Regression modelling forms the core of Predictive modelling course. The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model
This course aims to provide econometrics/quantitative/predictive modelling skills pertaining to Finance.
This course is not focused on specific set of sectors and domains because it can used by professionals across sectors. However, the list of professionals bulleted below should be able to make the best use of it
Detailed in course description below, prior knowledge of Quantitative Methods AND Econometrics techniques, MS Office and Paint is desired.
For any query give a miss call:
08587999769
Section 1 Introduction
1 Introduction to Eview Training
2 Eviews GUI
3 Eviews GUI Continues
Section 2 Generating Log Returns and Descriptive
4 Generating Log Returns
5 Example of Descriptive
Section 3 Interpretation and Graphs
6 Interpretation and Graphs
7 Interpretation and Graphs Continues
8 Generating Log Returns and Descriptive
9 Generating Log Returns and Descriptive Continue
10 Example of Interpretations
11 Volatility Graphs
12 Generating returns Interpretation and Graphs
13 Generating returns Interpretation Continues
Section 4 Generating Correlation matrix in Eviews
14 Basic Correlation Theory
15 Generating Correlation Matrix in Eviews
16 Generating Correlation Matrix in Eviews Continues
17 Mutual Funds Correlation Matrix Percentage
18 Scatter Plots Using Eviews
19 Generating Correlation Matrix
20 Scatter Plots and Volatility Graphs
21 Generating Correlation Matrix and Interpretations
22 Generating Correlation Interpretations
23 Generating Correlation Interpretations Continues
24 Scatter Plots
25 Working on Scatter Plots
26 Basic Regression Modelling Theory
27 Generating Returns and Estimation Output
28 More on Generating Returns
29 Understanding Estimation Output
30 Understanding Estimation Output Continues
31 Example of Interpretations
32 Generating Estimation Output
33 Interpretations and Volatility Scatter Plots
34 More on Volatility Scatter Plots
35 Estimation Output Interpretations and Graphs
36 Estimation Output Interpretations and Graphs Continues
37 Example 3 – NAV Price Study
38 Working on Volatility Graphs
39 Correlation Matrix
40 Correlation Matrix Continues
41 Example 4 – Estimation Output
42 Basic Regression Modelling
43 Basic Regression Modelling Continues
44 Interpretations and Scatterplot Analysis
45 More on Scatterplot Analysis
46 Equation Estimation
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:
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:
Section 1 Introduction
1 Introduction to Eview Training
2 Eviews GUI
3 Eviews GUI Continues
Section 2 Generating Log Returns and Descriptive
4 Generating Log Returns
5 Example of Descriptive
Section 3 Interpretation and Graphs
6 Interpretation and Graphs
7 Interpretation and Graphs Continues
8 Generating Log Returns and Descriptive
9 Generating Log Returns and Descriptive Continue
10 Example of Interpretations
11 Volatility Graphs
12 Generating returns Interpretation and Graphs
13 Generating returns Interpretation Continues
Section 4 Generating Correlation matrix in Eviews
14 Basic Correlation Theory
15 Generating Correlation Matrix in Eviews
16 Generating Correlation Matrix in Eviews Continues
17 Mutual Funds Correlation Matrix Percentage
18 Scatter Plots Using Eviews
19 Generating Correlation Matrix
20 Scatter Plots and Volatility Graphs
21 Generating Correlation Matrix and Interpretations
22 Generating Correlation Interpretations
23 Generating Correlation Interpretations Continues
24 Scatter Plots
25 Working on Scatter Plots
26 Basic Regression Modelling Theory
27 Generating Returns and Estimation Output
28 More on Generating Returns
29 Understanding Estimation Output
30 Understanding Estimation Output Continues
31 Example of Interpretations
32 Generating Estimation Output
33 Interpretations and Volatility Scatter Plots
34 More on Volatility Scatter Plots
35 Estimation Output Interpretations and Graphs
36 Estimation Output Interpretations and Graphs Continues
37 Example 3 – NAV Price Study
38 Working on Volatility Graphs
39 Correlation Matrix
40 Correlation Matrix Continues
41 Example 4 – Estimation Output
42 Basic Regression Modelling
43 Basic Regression Modelling Continues
44 Interpretations and Scatterplot Analysis
45 More on Scatterplot Analysis
46 Equation Estimation