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Gautam Bandyopadhyay
Gautam Bandyopadhyay
其他姓名Gautam Banerjee, Goutam Bandyopadhyay
Professor, Department of Management Studies, National Institute of Technology, Durgapur
在 dms.nitdgp.ac.in 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Gold price forecasting using ARIMA model
B Guha, G Bandyopadhyay
Journal of Advanced Management Science 4 (2), 2016
2052016
Prediction of stock performance in the Indian stock market using logistic regression
A Dutta, G Bandopadhyay, S Sengupta
International Journal of Business and Information 7 (1), 105, 2012
1662012
An ensemble approach for portfolio selection in a multi-criteria decision making framework
S Biswas, G Bandyopadhyay, B Guha, M Bhattacharjee
Decision Making: Applications in Management and Engineering 2 (2), 138-158, 2019
752019
Application of the factor analysis on the financial ratios and validation of the results by the cluster analysis: an empirical study on the Indian cement industry
A De, G Bandyopadhyay, BN Chakraborty
Journal of Business Studies Quarterly 2 (3), 13-31, 2011
562011
Portfolio Selection using DEA-COPRAS at risk–return interface based on NSE (India)
S Gupta, G Bandyopadhyay, M Bhattacharjee, S Biswas
International Journal of Innovative Technology and Exploring Engineering …, 2019
262019
measurement of risk vs return of Indian sectoral indices
B Guha, A Dutta, G Bandyopadhyay
Journal of Advanced Management Science Vol 4 (2), 2016
252016
An Integrated Framework for Classification and Selection of Stocks for Portfolio Construction: Evidence from NSE, India
S Gupta, G Bandyopadhyay, S Biswas, A Mitra
Decision Making: Applications in Management and Engineering, 2022
222022
A novel in vitro model of primary human pediatric lung epithelial cells
Q Wang, S Bhattacharya, JA Mereness, C Anderson, JA Lillis, RS Misra, ...
Pediatric research 87 (3), 511-517, 2020
212020
A hybrid machine learning and dynamic nonlinear framework for determination of optimum portfolio structure
S Gupta, G Bandyopadhyay, S Biswas, A Upadhyay
Innovations in Computer Science and Engineering, 437-448, 2019
212019
Quest for different strategic dimensions of channel management: An empirical study
K Mandal, G Bandyopadhyay, K Roy
Journal of Business Studies Quarterly 3 (2), 25, 2011
212011
A post factor analysis of financial ratios of selected IPOs and its impact on grading: an empirical inquest
S Banerjee, B Guha, G Bandyopadhyay
Journal of Business Studies Quarterly 8 (1), 23, 2016
202016
A wavelet-based MRA-EDCC-GARCH methodology for the detection of news and volatility spillover across sectoral indices—Evidence from the Indian financial market
A Chakrabarty, A De, G Bandyopadhyay
Global Business Review 16 (1), 35-49, 2015
172015
Forecasting BSE sensex under optimal conditions: An investigation post factor analysis
A Ghosh, G Bandyopadhyay, K Choudhuri
Journal of Business Studies Quarterly 3 (2), 57, 2011
172011
Forecasting environmental factors and zooplankton of Bakreswar reservoir in India using time series model
A Banerjee, M Chakrabarty, G Bandyopadhyay, PK Roy, S Ray
Ecological Informatics 60, 101157, 2020
162020
Sequestration of CO2 using microorganisms and evaluation of their potential to synthesize biomolecules
AN Mistry, G Upendar, S Singh, J Chakrabarty, G Bandyopadhyay, ...
Separation Science and Technology 55 (2), 332-345, 2020
132020
Performance measurement of Indian banks using data envelopment analysis
N Agarwal, B Guha, A Dutta, G Bandyopadhyay
Lecture Notes on Information Theory Vol 2 (3), 2014
122014
Analysis and estimation of India's foreign exchange reserves using soft computing techniques
MM Chanda, G Bandyopadhyay, N Banerjee
IIMB Management Review 32 (3), 280-290, 2020
92020
Urban local bodies in India: Financial control for better financial performance
S Bhattacharyya, G Bandyopadhyay
Theoretical and Empirical Researches in Urban Management 7 (3), 24-37, 2012
92012
Application of Factor Analysis on the Financial Ratios of the Iron and Steel Industry of India and Validation and Improvement of the Results by the Cluster Analysis‖
A De, G Bandyopadhyay, BN Chakraborty
International Conference on Computing Business Applications and Legal Issues …, 2010
92010
Highly efficient hypothesis testing methods for regression-type tests with correlated observations and heterogeneous variance structure
Y Zhang, G Bandyopadhyay, DJ Topham, AR Falsey, X Qiu
BMC bioinformatics 20 (1), 1-14, 2019
82019
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