Dr. Asheesh Pandey is currently working as Area Chair and Professor- Finance at Fortune Institute of International Business. He is an industry and corporate work experience of 17 years. His academic credentials are M.Com, MBA and PHD (Delhi University). His research interests are Asset Pricing, Corporate Finance & Equity Valuation. Dr. Pandey has published over 40 research publications and 6 books in various national and International referred journals, Including that in the ABDC listed journal. He has published articles in referred International and National journals including journal in the ABDC list with Publisher like Elsevier, Springer, Sage and Inderscience to name a few. Dr. Pandey has chaired and organised various International and National conferences and is on the advisory board of prestigious refereed journals. His research Interest are asset pricing, valuations and corporate finance.
Dr. Dinesh Jaisinghani
Dr. Dinesh Jaisinghani is currently working as an Assistant Professor in the area of Finance at Fortune Institute of International Business, NEw Delhi. He has done his fellow Program in Management from IMI, New Delhi. He has completed his PGDM from FORE School of Management, New Delhi. He did his graduation in commerce from HR College of Commerce, Mumbai. He is UGC NET Certified in Management. He is proficient in various software such as R & R Studio, EViews, Stata, SPSS AMOS, Gauss, and Matlab. He is skilled in research Methodologies such as Time Series analysis, ARCH-GARCH, VECM, VAR, Panel Data Analysis, Dynamic Panel Analysis, and threshold Panel Analysis. He is an expert in Data bases including Prowess, EMIS, Bloomberg, Reuters, Hoovers, and capitaline. He has published several research papers and case studies in reputed national and international journals. He has conducted several workshop in advanced econometrics and time series analysis. He has also attend several conferences, Seminars, and workshops. His primarily area of research pertains to modelling financial performances using advanced econometrics and panel data analysis.