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Time-varying relationship between geopolitical uncertainty and agricultural investment

Jana, Rabin K.; Ghosh, Indranil - In: Finance research letters 52 (2023), pp. 1-7

Persistent link: https://www.econbiz.de/10014471906

A granular machine learning framework for forecasting high-frequency financial market variables during the recent black swan event

Ghosh, Indranil; Jana, Rabin K. - In: Technological forecasting & social change : an … 194 (2023), pp. 1-17

Persistent link: https://www.econbiz.de/10014475527

Prediction and interpretation of daily NFT and DeFi prices dynamics : inspection through ensemble machine learning & XAI

Ghosh, Indranil; Alfaro-Cortés, Esteban; Gámez, Matías; … - In: International review of financial analysis 87 (2023), pp. 1-21

Persistent link: https://www.econbiz.de/10014456330

The asymmetric impact of oil price uncertainty on emerging market financial stress : a quantile regression approach

Das, Debojyoti; Dutta, Anupam; Jana, Rabin K.; Ghosh, … - In: International journal of finance & economics : IJFE 28 (2023) 4, pp. 4299-4323

Persistent link: https://www.econbiz.de/10014429325

Modeling bivariate dependency in insurance data via Copula : a brief study

Ghosh, Indranil; Watts, Dalton; Chakraborty, Subrata - In: Journal of risk and financial management : JRFM 15 (2022) 8, pp. 1-20

Copulas are a quite flexible and useful tool for modeling the dependence structure between two or more variables or components of bivariate and multivariate vectors, in particular, to predict losses in insurance and finance. In this article, we use the VineCopula package in R to study the...

Persistent link: https://www.econbiz.de/10013375167

Do travel uncertainty and invasion rhetoric spur Metaverse financial asset? : gauging the role of media influence

Ghosh, Indranil; Alfaro-Cortés, Esteban; Gámez, Matías; … - In: Finance research letters 51 (2023), pp. 1-9

Persistent link: https://www.econbiz.de/10014288827

New business capacity of developed, developing and least developing economies : inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks

Ghosh, Indranil; Jana, Rabin K.; Pramanik, Paritosh - In: Benchmarking : an international journal 30 (2023) 4, pp. 1424-1454

Persistent link: https://www.econbiz.de/10014293133

An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements

Jana, Rabin K.; Ghosh, Indranil; Kumar, P. N. Ram - In: Journal of the Operational Research Society 75 (2024) 8, pp. 1569-1586

Persistent link: https://www.econbiz.de/10015052581

Co-movement and dynamic correlation of financial and energy markets : an integrated framework of nonlinear dynamics, wavelet analysis and DCC-GARCH

Ghosh, Indranil; Sanyal, Manas Kumar; Jana, R. K. - In: Computational economics 57 (2021) 2, pp. 503-527

Persistent link: https://www.econbiz.de/10012486945

Application of Multi-Criteria Decision Making Models in Regulatory Evaluation of Commercial Banks in India and its Consistency with Public Perception

Chaudhuri, Tamal - 2015

This paper, first, examines the performance of a sample set of public sector banks (nationalized banks and State Bank of India) and a sample set of private sector banks in terms of certain regulatory variables. It uses aggregation techniques like TOPSIS, VIKOR and ELECTRE - III to rank their...

Persistent link: https://www.econbiz.de/10013030833