FUTURE STUDENTS

Mr. Gyanesh Jain

Faculty, Gyanesh Jain - NIIT University
Designation : Assistant Professor
Area : Management
Qualification : MBA(Finance), Ph.D (Submitted)
Courses Taught : Financial Risk Management, Portfolio Management, Business Analytics with R, Financial Management, Asset Valuation
Teaching Field: Finance
Experience: Teaching experience (1 year), Data Analyst (1 year)
Research Areas: Econometrics, Commodity Derivatives, Asset Valuation
Research Focus: Indexation of Indian Commodity Derivatives
Consulting Area: Business Analytics
Other Interests: Machine Learning, Forecasting of Panel Data and Time Series

Email-ID:

Gyanesh.Jain@niituniversity.in

Information of Research Publications

Research Publication Details (From 2011 to 2016):

  1. A comparative Study of the Determinants affecting the formation of Commodity Derivative Indices, International Journal of Trade and Commerce, Volume V , Number-I ,January-June-2016, pp 100-108. ISSN 2277-5811.
  2. Role and Scope of Digitalization of Government Services in Equitable and Sustainable Development of Rural Economies, Rural Development in Bhutan- Prospects and Challenges, Volume-II, pp 37-39. ISBN.978-99936-33-21-1.
  3. Role and Scope of Digitalization of Government Services in Equitable and Sustainable development of Rural Economies, at International Conference organized by Gaeddu College of Business Studies, Royal University Bhutan.
  4. Volatility of Oil Prices and its spillover effects on Currency and Bond Yields, at International Conference on Changing Paradigm of Management Practices and Sustainable Development, organized by Baba Bhimrao Ambedkar University, Lucknow.

Gyanesh Jain has been with Invertis University since August 2017. In the last year, he has taught several subjects in the domain areas of Finance and Healthcare Management. He was also the organizing secretary of the international conference organized by Invertis. He was part of a team involved in discussions with National Stock Exchange at Invertis that resulted in the successful launch of an MBA programme in financial markets with the National Stock Exchange.

He has submitted his dissertation on Efficiency of Commodity Derivative Markets. His next phase of research involves using machine learning for forecasting of derivative products. He is also currently working on key indicators and their modifications to construct a tradable commodity index in India.

Gyanesh has written 4 research papers of which two were based on a detailed study of Indian commodity derivatives, while the remaining two focussed on the role of governance in the financial segments for growth of emerging economies. Gyanesh has visited Bhutan to present a paper on Role of E-governance on development of SAARC Economies.