MDP: Time Series Modelling and Forecasting Techniques
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INTRODUCTION 
A Three Day short term Programme on “Times Series Modelling and Forecasting techniques: Using E-Views Package” is  likely to provide a platform for the participants to acquire  knowledge on essential tools and techniques on time series modeling and forecasting and its application for better economic planning, forecasting of sales, production-cum capacity  scheduling, budgeting, financial risk management and evaluating alternative strategies. The focus of the course is to highlight the procedures to describe the data using summary statistics and/or graphical methods, to find suitable statistical model to describe the data generating process, to estimate the future values through forecasting and to take action so as to control a given process.  Keeping the aptitude at parlance, the course also heavily imparts on both the theoretical and practical aspects of providing a hand- in-experience of operation of computer software package like E-Views. 

The Three days’ Short term Programme will cover the following topics:
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Day One
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1. Introduction of Times Series Analysis and Properties of OLS.
2. Introduction to Data Mining and Export/Import with E-Views.
3. Trends and Cycles, Deterministic and Stochastic Trends, Stationary Time series, Random Walks.

Day Two

1. Unit Root Hypothesis, Efficient Market Hypothesis, Structural Break Analysis and Spurious Regression with E-views.
2. Forecasting with Uni-variate models: ​Box-Jenkin’s Auto Regressive Integrated Moving Average Model (ARIMA), Seasonal ARIMA with E-Views.
3. Vector Auorgression (VAR) Model- Basic and Structural VAR Model, Impulse Response Function and Variance Decomposition Method in VAR with
   ​E-Views.  ​

Day Three

1. Modelling and Forecasting Johansen
   ​Co-integration test and Vector Error Correction Model with E-Views.
2. Measuring Risk/Variance through Using Symmetric and Asymmetric ARCH and GARCH Models. 

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Programme Coordinator:  
Dr. Rohit Bansal

Programme Faculty
Dr. Rohit Bansal​

Program Duration:
3 Days, October 4-6, 2017  (Residential)
 
Program Fee:
Rs. 21,000/- (Twenty one thousand) plus applicable taxes per participant.

[Click Here] to Register  ​