Journal Articles
Permanent URI for this collectionhttp://10.0.100.92:4000/handle/123456789/21
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Item Crude oil Price forecasting: Leveraging machine learning for global economic stability, Technological Forecasting and Social Change,(Technological Forecasting and Social Change, 2025-07) Rao, Amar; Sharma, Gagan Deep; Tiwari, Aviral Kumar; Hossain, Mohammad Razib; Dev, DhairyaThe volatility of the energy market, particularly crude oil, significantly impacts macroeconomic indices, such as inflation, economic growth, currency exchange rates, and trade balances. Accurate crude oil price forecasting is crucial to risk management and global economic stability. This study examines various models, including GARCH (1,1), Vanilla LSTM, GARCH (1,1) LSTM, and GARCH (1,1) GRU, to predict Brent crude oil prices using different time frequencies and sample periods. The LSTM and GARCH (1,1)-GRU hybrid models showed superior performance, with LSTM slightly better in predictive accuracy and GARCH (1,1)-GRU in minimizing squared errors. These findings emphasize the importance of precise crude oil price forecasting for the global energy market and manufacturing sectors that rely on crude oil prices. Accurate forecasting helps ensure economic sustainability and stability and prevents disruptions to production and distribution chains in both developed and emerging economies. Policymakers may choose to implement energy security measures in response to the significant impact of crude oil price volatility on the macroeconomic indicators. These measures could include maintaining strategic reserves, diversifying energy sources, and decreasing the dependence on volatile oil markets. By doing so, a country's ability to handle oil price fluctuations and ensure a stable energy supply can be enhanced.Item Past, present, and future of block-chain in finance(Journal of Business Research, 2024-04) Sharma, Gagan Deep; Tiwari, Aviral Kumar; Chopra, Ritika; Dev, DhairyaDiverse businesses are investigating the possibility of redefining their current operational systems in light of the latest blockchain, initially developed for Bitcoin traBitcoinns. This research examines the existing literature on blockchain and its application in the finance sector. This paper provides a systematic literature review of the uses of blockchain in the finance sector. To conduct the review, we performed a boolean search on the Scopus database and obtained 149 records, which we then analyzed bibliometrically using the bibliometrix package in R. The categorization of the existing literature into themes resulted in identifying the following six significant research themes: financial inclusion, sustainable finance, blockchain technology, cryptocurrencies, and artificial intelligence. Following the inductive analysis, we propose a conceptual framework that includes components such as the digital financial revolution, innovation, entrepreneurship, the financial market, sustainable business development, and financial innovation and sustainability. These findings are utilized to suggest future lines of inquiry for this area of study, including the necessity of methodological development and theoretical foundation.