Dr. Mohit Beniwal
Assistant Professor at Delhi School of Management, Delhi Technological University
Phone:Contact via email
Email: mohitbeniwal@dtu.ac.in
Qualifications
B. E., Masters in information systems from USA, MBA from USA, Ph.D. (Management)
Areas of Interest
Business Analytics, Information Technology, Finance Analytics, Time Series Analysis, Artificial Intelligence and Machine Learning
Office: GF 2, Delhi School of Management, DTU A Brief Introduction: Dr. Mohit Beniwal has a Bachelor of Engineering in Biotechnology from Netaji Subhas University of Technology (NSUT), formerly Netaji Subhas Institute of Technology (NSIT, Delhi University). He did his MBA and Masters in Information Systems from the College of Business, Iowa State University, Ames, Iowa, USA. He has vast work experience from companies like HCL Technologies, Coforge (formally NIIT Technologies), Accenture USA, and YesMail in San Francisco, USA. He completed his PhD in Management from DSM, DTU. His interest areas are Business Analytics, Time Series Analysis, Fundamental Analysis of Companies, Equity Research, Technical Analysis, Financial Analytics using Artificial Intelligence and Machine Learning, and Predictive AI using programming languages such as Python and R. List of Publications: · Beniwal, Mohit, Archana Singh, and Nand Kumar. "Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression." Applied Soft Computing (2023): 110566. · Beniwal, Mohit, Archana Singh, and Nand Kumar. "Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices." Engineering Applications of Artificial Intelligence 129 (2024): 107617 · Beniwal, M., A. Singh, and N. Kumar. "Alternative to Buy-and-Hold: Predicting Indices Direction and Improving Returns Using a Novel Hybrid LSTM Model." International Journal on Artificial Intelligence Tools (2023). · Beniwal, Mohit, Archana Singh, and Nand Kumar. "A comparative study of static and iterative models of ARIMA and SVR to predict stock indices prices in developed and emerging economies." International Journal of Applied Management Science 15.4 (2023): 352-371. · Beniwal, Mohit, Archana Singh, and Nand Kumar. "Predicting Long Term Prices of Nifty Index using Linear Regression and ARIMA: A comparative study." International Journal of Accounting, Business and Finance 2.1 (2022): 31-41. · Beniwal, Mohit, Archana Singh, and Nand Kumar. "Predicting Next Quarter Nifty 50 Price using Genetic Algorithm and Support Vector Regression." 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). IEEE, 2023.
Last Updated : 2024-02-08 06:12:41