ECONOMETRIC MODELLING AND ANALYSIS (E-VIEWS) WORKSHOP
ICT

Registration Closed

Please be informed

Online Training via Google Meet / Webex. The link will be provided after payment confirmation. Disclaimer: The class will be conducted if the number of participants reaches a minimum of 20 people

	05/08/2021 Tentative is available below.
	Online Course

For any inquries, please contact :-

FARAH QHAIRUNNISA MOHD YAZID

	01151679198
	farah384@uitm.edu.my

MOHD ARIF MANSOR

	0193797521
	mohdarif@uitm.edu.my

Description

The course aims to provide quantitative/econometrics modeling skills through Descriptive Statistics, Correlation Techniques, Regression, Predictive and Econometrics Modeling skills. Quantitative methods and predictive modelling concepts could be extensively used in understanding the financial markets movements, huge datasets and statistics 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.

Objective

Econometrics Modeling and Analysis in EViews, AIMS to also cover Auto-Correlation, Co-Integration and ARCH (Auto Regressive Conditional Heteroscedasticity) models

1. Essential skillsets – Prior knowledge of Quantitative methods and MS Office, Paint

2. Desired skillsets — Understanding of Data Analysis and VBA toolpack in MS Excel will be useful

Who Should Attend?

OPEN TO ALL INTERESTED PARTICIPANTS

Outline

To provide econometrics/quantitative/predictive modelling skills
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
Descriptive Statistics, Means, Standard Deviation and T-test – This course explains descriptive statistics concepts which will act as building blocks to subsequent courses
Correlation Techniques – Correlation techniques explain relationships across variables and are important in explain the model fitment in regression courses
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

Tentative

NOT AVAILABLE

ECONOMETRIC MODELLING AND ANALYSIS (E-VIEWS) WORKSHOP ICT