Palash Bairagi
@mitwpu.edu.in
Assistant professor |School of Business|
Dr Vishwanath Karad MITWPU Pune,Pune
EDUCATION
Doctorate in Management from Banaras Hindu nuiversity
RESEARCH, TEACHING, or OTHER INTERESTS
Finance, General Economics, Econometrics and Finance, Business, Management and Accounting, Statistics, Probability and Uncertainty
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Scopus Publications
Palash Bairagi, Shrey Arora, and Anindita Chakraborty
IEEE
Forecasting metal prices in volatile financial markets is a challenging task due to the non-linear and stochastic nature of price movements. This research integrates deep learning techniques with time series models to predict metal prices, focusing on the MCX Index. A novel Generative Adversarial Network (GAN) framework, coupled with a Convolutional Neural Network (CNN) as a discriminator and Gated Recurrent Units (GRU) as a generator, is proposed. Historical NSE metal spot price data, specifically gold and silver, were used for model training and evaluation. The empirical results demonstrated that the proposed GAN-based architecture outperformed other deep learning models, including LSTM and Bi-LSTM, in terms of forecasting accuracy. The study provides valuable insights into the application of deep generative models for financial forecasting, addressing key challenges associated with modeling non-stationary and noisy financial data.
Samarjit Roy, Debadrita Panda, Byung-Gyu Kim, Palash Bairagi, Tamal Mondal, Sirshendu Arosh, Suprabhat Sinha, Debashis De, Yingwei Wang, Karolj Skala,et al.
Springer Nature Singapore
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