Select business or economic problem and try to solve it using a regression model or a time series forecasting model (for example: exponential smoothing). The problem can be related with forecasting, asset pricing or relationship assessment between different variables.Project Structures:Introduction, Methods, Results, Conclusion and Excel file + Word file.Project guidelines
Select business or economic problem and try to solve it using a regression model or a time
series forecasting model (for example: exponential smoothing). The problem can be related
with forecasting, asset pricing or relationship assessment between different variables.
The following project structure is recommended:
An introduction. This part describes the problem, motivation of its selection and etc. It also
describes the purpose of the research and formulates hypotheses that will be tested during
Methods. This section describes how the research will be conducted. For example, what
research methods will be used, what data will be collected, how it be collected, and etc.
Results. The results and interpretation are presented.
Conclusions. It should be noted that conclusions are not the summary of the work. The
conclusions need to answer the questions raised in the introduction.
The scope of the project is not limited, i.e. there is neither a minimum nor a maximum number
Data sources must be indicated in the study.
The work can be done both independently and in groups. There can be no more than 3
students within the group.
The work should be submitted through the Moodle system. It should consist of two files, i.e.
MS Word file describing the entire research and MS Excel file containing all the data used in
the research and the calculations performed.
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