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Forecasting for Economics and Business (IPIEF)

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SYLLABUS

FACULTY ECONOMIC AND BUSINESS

INTERNATIONAL PROGRAM FOR ISLAMIC ECONOMICS AND FINANCE (IPIEF)

1 Name of Course / Module Forecasting for Economics and Business

2 Course Code E18466

3 Credit Value 3

4 Objective

After completing the unit, it is expected that students will understand:

 Linear Regression Model

 Statistics and Time Series

 Tools of Forecasters

 Understanding Linear Dependence

 Forecasting with Moving Average (MA) Processes

 Forecasting with Autoregressive (AR) Processes

 Forecasting the Long Term: Deterministic and Stochastic Trends

 Forecasting with a System of Equation: Vector Autoregression

5 Synopsis

Knowledge of forecasting methods is among the most demanded qualifications for professional economists and business people working in either the private or public sectors of the economy.

6 References

Textbooks:

González-Rivera,Gloria,Forecasting for Economics and Business, Pearson.

Gujarati, Damodar Basic Econometrics, MvGraw Hill Book Company.

Software: Excel, EViews

7 Lecturer Listya Endang Artiani, S.E., M.Si

8 Correspondence IPIEF Room, Postgraduate building, ground floor E-mail:[email protected]

HP : 08121536937 (WA) 9 Consultation time By appointment

10 Academic Evaluation

Task Value

Assignments 20%

Competence Test 1 20%

Competence Test 2 20%

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Competence Test 3 20%

Competence Test 4 20%

COURSE OUTLINE

Meeting Course Material

1 Introduction of Forecasting

2 Conditional Density and Conditional Moments 3 Linear Regression Model

4 Statistics and Time Series 5 Competence Test 1 6 The Information Set

7 The Forecast Horizon and The Loss Function 8 Price Dynamic : The Cobb-Web Model

9 Model Simulation and Autocorrelative Function 10 Competence Test 2

11 The World Decomposition Theorem : The Origin of AR and MA Models 122 Forecasting with Moving Average (MA) Processes

13 Autoregressive (AR) Models 14 Seasonal Cycles

15 Competence Test 3

16 Forecasting the Long Term: Deterministic Trends 17 Forecasting the Long Term: Stochastic Trends

18 Forecasting with a System of Equation: Vector Autoregression 18 Competence Test 4

Grading System

Grading and Weight Interval (%)

A A≥80

AB 75≤AB<80

B 65≤B<75

BC 60≤BC<65

C 50≤C<60

D 35≤D<50

E <35

Referensi

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