The programme has been designed to achieve the following objectives:
- To encourage the research orientation of keen researchers in the discipline of Finance, Economics and allied areas.
- To understand details about steps and statistics involved in simple research as well as of advanced levels of time series and panel data analysis using different software.
Who can participate?
Research Scholars, Professionals from Industry and Academicians from Technical & Management Institutions are eligible to participate.
A mix of pedagogical tools will be used i.e. lectures, discussions, presentations and experiential exercises. Hands on experience will be given on various software. Participants will be provided with the suitable research example data sets for the purpose of analysis in order to understand the analysis
Prof. C.P. Gupta
Prof. Gupta is working as Professor at Department of Financial Studies, South Campus, University of Delhi. He has teaching and research experience of more than 35 years. His main area of research includes Investment Decisions, Risk Analysis, Project Appraisal, Security analysis, Decision making and Financial Modelling. He has presented research papers in International and National Conferences and is continuously working as the Resource Person in the field of Research for various, Faculty Development Programmes, Seminars & Workshops. Besides being a keen researcher himself, it’s always his endeavour to promote and encourage people and associates to pursue and contribute quality research work.
Ananya G. Dastidar
Ananya G. Dastidar was educated at St. Xavier’s College, Kolkata where she did BSc. Economics (Hons) and at C.E.S.P., JNU, where she did her MA, MPhil and Phd in Economics. She started her teaching career at the Dept. of Economics, Delhi School of Economics and thereafter joined the Dept. of Business Economics , where she is currently Associate Professor. She has supervised several Mphil and Phd theses and her research interests lie in the area of International Economics and the Economics of Development. Her recent publication includes “Economic Theory and Policy amidst Global Discontent” (published by Routledge), a book she has edited along with Rajeev Malhotra and Vivek Suneja, in honour of her Phd supervisor Prof. Deepak Nayyar.
Mr. Miklesh Yadav
Presently working as Area Chair-Finance at Rukmini Devi Institute of Advanced Studies, Rohini, Delhi, affiliated to GGSIPU. His areas of interest are Financial Econometrics, Investment Management, International Financial Management and CSR. He has contributed acclaimed publications in reputed journals both National and International. He is continuously working as the Resource Person in the field of Research applying various statistical tools. He is also the reviewer of National and International Journals. He has organized many workshop and Faculty Development Programme on Research Methodology.
Registration Fee: Rs. 4000 per candidate
Interested candidates can apply to the FDP Coordinator along with duly filled up registration forms latest by May 1, 2019. The registration fee includes Participation, course materials, lunch for each day and tea/coffee during the program. email id :- For further details contact :- 9911259485/ 9717798304
Through Demand Draft (or cheque payable at par) favouring “Rukmini Devi Instiute of Advanced Studies” payable at Delhi. The registration fee can also be paid directly into the following Bank Account:
Bank Name: PNB
Account Name: Rukmini Devi Institute of Advanced Studies
Account Type: Saving Account Number: 0649010100018152
IFS Code: PUNB0456300
Bank Address: Punjab National Bank, Madhuban Chowk, Rohini, Delhi-110085
Certificate of Participation
All participants will be awarded Certification of Participation upon completion of the program.
|1||Introduction of time series, Deterministic trend and stochastic trend, differencing and detrending, unit root testing, dealing with strucutral break point, ARIMA, GARCH, Causality and various test of Cointegration, ARDL Model, ECM and VECM|
|2||OLS Regression Model, Assumptions, Estimation, Hypothesis Testing, Alternate Functional Forms and Dummy Explanatory Variables in the twovariable and multiple regression models, Introduction of Panel Data, Testing of its assumptions, Pooled Regression, Fixed Effect Model, Random Effect Model, Hausman Testing, Dynamic Panel Data|