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Impact of the COVID-19, lockdown and unlock on the Indian stock market and its international linkage with the Chinese stock market

Singh, Narinder Pal; Goel, Himanshu; Kumari, Shabnam - In: International journal of monetary economics and finance … 14 (2021) 3, pp. 249-264

Persistent link: https://www.econbiz.de/10012596118

A wide scale survey on weather prediction using machine learning techniques

Kumari, Shabnam; Muthulakshmi, P. - In: Journal of information & knowledge management : JIKM 22 (2023) 5, pp. 1-40

Persistent link: https://www.econbiz.de/10014494816

Econometric perspective of agricultural exports and economic growth relationship : with reference to India and China

Kumari, Shabnam; Kakar, Deepti - In: International journal of Indian culture and business … 29 (2023) 2, pp. 221-242

Persistent link: https://www.econbiz.de/10014318429

Dynamic prediction of Indian stock market : an artificial neural network approach

Goel, Himanshu; Singh, Narinder Pal - In: International Journal of Ethics and Systems 38 (2021) 1, pp. 35-46

Purpose: Artificial neural network (ANN) is a powerful technique to forecast the time series data such as the stock market. Therefore, this study aims to predict the Indian stock market closing price using ANNs. Design/methodology/approach: The input variables identified from the literature are...

Persistent link: https://www.econbiz.de/10012639138

Are Indian and Chinese stock markets interlinked? : an application of cointegration and causality approaches

Goel, Himanshu; Singh, Narinder Pal - In: Finance India : the quarterly journal of Indian … 35 (2021) 2, pp. 563-576

Persistent link: https://www.econbiz.de/10012990223

White Swan - the pandemic crisis, lockdown and unlock effect on the Indian stock market

Singh, Narinder Pal; Goel, Himanshu - In: Global business & economics review 26 (2022) 2, pp. 152-162

Persistent link: https://www.econbiz.de/10012887566

The predictive power of macroeconomic variables on the Indian Stock Market utilizing an Ann Model approach : an empirical investigation based on BSE Sensex

Goel, Himanshu; Agarwal, Monika; Chhabra, Meghna; Som, … - In: Folia oeconomica Stetinensia : FOS 23 (2023) 2, pp. 116-131

Persistent link: https://www.econbiz.de/10014490687

Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application

Goel, Himanshu; Som, Bhupender Kumar - In: Economia : revista da ANPEC 24 (2023) 1, pp. 134-146

Purpose This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011-February 2020) and during the COVID-19 (March 2020-June...

Persistent link: https://www.econbiz.de/10014418102

Analysing nexus between stock market and key macroeconomic variables using cointegration and causality approaches

Goel, Himanshu; Singh, Narinder Pal - In: International journal of Indian culture and business … 24 (2021) 1, pp. 103-120

Persistent link: https://www.econbiz.de/10012695829

Analysing interlinkages of Indian stock market with other emerging Asian markets

Goel, Himanshu; Singh, Narinder Pal - In: International journal of economics and business … 22 (2021) 1, pp. 75-91

Persistent link: https://www.econbiz.de/10012597911