Prof. Dr Mansur Masih + Mr Adam Shishani (P.H.D Candidate INCEIF)
Computer Lab, INCEIF Campus, Lorong Universiti A, Kuala Lumpur
Dates 11-12 February 2017 (Sat & Sun)
The two days’ workshop is designed to cater for the needs of both the multidisciplinary academics and the practitioners who are interested in familiarising themselves with the Non-parametric Wavelet and Non-linear Markov regime-switching techniques. These techniques provide additional rigor for testing models/hypotheses/topical issues with a view to writing high quality academic papers, theses for publications in professional scholarly refereed international journals as well as providing analytical tools for helping practitioners in their decision making.
In order to accommodate participants from different disciplines, no prior knowledge of econometrics will be assumed. A refresher on the conventional regression techniques and the standard time series techniques would be given. Participants will be eased into the workshop by coverage of the basic fundamentals. Progressively participants will be guided to the desired level in
order to meet the expected outcomes.
By the end of the workshop the participants will be able to:-
Develop an intuitive understanding and appreciate the value add provided by the time-series
techniques of Wavelet and Markov regime-switching.
Apply the understanding in their respective roles as academics, researchers, policy makers,
investors, economics and finance practitioners.
Apply these techniques to testing/retesting new/old theories /hypotheses /topical issues in a
wide number of areas previously unexplored.
Critically evaluate the practical problems involved in the use of these techniques applied to real
world data and apply the econometric steps that should be taken to make the results statistically
acceptable.
Interpret the computer results intuitively by relating them to theories, institutional, structural,
and policy frameworks of the economies/industries/firms under review with a view to making the
statistical results plausible as well as significant to policy makers, investors and practitioners.
Produce papers and/or quality theses for publications in scholarly refereed international journals
Apply rigorous quantitative data analysis as a tool for decision-making by the practitioners