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EII3004          APPLIED ANALYTICS
            3 Credits

            Pre-requisite    Passed EIA1013 Programming Tools for Economics

            Learning         At the end of the course, students are able to:
            Outcomes
                             1.  Use statistical procedures built using selected computer language.
                             2.  Summarize statistical information from the database.
                             3.  Use statistical analysis and graphical analysis in real data sets.

            Synopsis         This course exposes students to the use of programming to extract statistical information
                             from  database.  Programming  concepts  and  database  are  taught  using  computer
                             software. Programming concepts include topics like data types, programming structure,
                             built-in  functions,  and  user-defined  procedures.  Database  concepts  include  database
                             development, records, data manipulation,  reporting, and queries. These concepts are
                             used to develop an information system that links programs to database.

            Medium of        English
            Instruction

            Assessment       Continuous Assessment  : 50%
            Weightage        Final Examination            : 50%



            EII3005          FINANCIAL ECONOMETRICS
            3 Credits

            Pre-requisite    Passed EIA2013 Econometrics I

            Learning         At the end of the course, students are able to:
            Outcomes
                             1.  Apply econometric techniques for financial time series data.
                             2.  Conduct hypothesis testing based on financial theory.
                             3.  Interpret the results from the analysis.
                             4.  Draw valid conclusions for decision making.

            Synopsis         The course introduces the methods of construction of stock market indices, computation
                             of returns with adjustment on capital changes and estimations of betas. The concepts of
                             forecast errors, tests of market efficiency and analysis of daily stock price behaviour are
                             discussed.  The concepts of spurious regression, stochastic process, stationarity and
                             order of integration are introduced. VAR modelling, impulse response function, variance
                             decomposition, causality test, cointegration, error correction mechanism ARCH models
                             and Risk Models are discussed. These techniques are taught using a variety of financial
                             models.

            Medium of        English
            Instruction

            Assessment       Continuous Assessment  : 50%
            Weightage        Final Examination            : 50%
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