EViews - Advanced
Advanced EViews
Updated on Dec, 2023
Language - English
Advance,Economics,Data & Analytics
Lectures -98
Duration -13.5 hours
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Course Description
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
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 Objective:
This course aims to provide econometrics/quantitative/predictive modelling skills pertaining to Finance
Target Customers:
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
- Students
- Quantitative and Econometrics Modellers, Financial markets professionals
- CFA’s and Equity Research professionals
Prerequisites
What are the prerequisites for this course?
Detailed in course description below, prior knowledge of Quantitative Methods AND Econometrics techniques, MS Office and Paint is desired.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
10 Lectures
-
Univariate Time Series Modelling
11:12
11:12
-
Example of Univariate Time Series Modelling
10:00
10:00
-
Understanding and Implementing Correlogram
07:34
07:34
-
Correlogram Analysis
07:32
07:32
-
Correlogram Analysis Continues
06:27
06:27
-
Estimation Output Analysis and Interpretation
11:35
11:35
-
Correlogram Estimation of Output Model
08:03
08:03
-
Correlogram Estimation of ARMA Model
10:44
10:44
-
More on ARMA Model
10:48
10:48
-
Correlogram and Estimation Output for ARMA Model
12:04
12:04
Multivariate Modeling
11 Lectures
Autocorrelation Techniques
21 Lectures
VAR Modeling
11 Lectures
Stationarity and Unit Root Testing
9 Lectures
CoIntegration Testing
9 Lectures
Volatility & ARCH Modeling
27 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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