Course Overview
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Expert| English[Auto-generated] Advanced EViews #3 – Autocorrelation Techniques:
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. The course employs wide variety of examples and datasets ranging from stock prices from BSE Sensex, mutual funds NAV’s, foreign exchange datasets for Pound Sterling, Swiss Franc, Australian Dollar, and commodities such as Gas, and Gold, and futures prices of Singapore Nifty
This course explains variety of econometrics modelling techniques such as Durbin Watson test for Autocorrelation, Breusch – Godfrey test for serial autocorrelation.
The training will include the following:
- Durbin – Watson concepts and steps for Autocorrelation techniques and its disadvantages
- Examples and interpretation of Durbin – Watson hypothesis analysis
- Breusch – Godfrey tests
- Steps for implementation of Breusch – Godfrey tests
- Examples
- This course is clearly focused on FINANCE sector typically financial markets, commodities and forex markets and therefore, 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 - Detailed in course description below, prior knowledge of Quantitative Methods AND Econometrics techniques, MS Office and Paint is desired.
- 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 sub-courses details of which are bulleted below, with brief description.
