Dai Yonghong

ORCID: 0000-0001-9607-8993
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About
Contact & Profiles
Research Areas
  • Misinformation and Its Impacts
  • Fiscal Policy and Economic Growth
  • Stock Market Forecasting Methods
  • Energy Load and Power Forecasting
  • Global trade and economics
  • COVID-19 Pandemic Impacts
  • COVID-19 and Mental Health
  • Complex Systems and Time Series Analysis
  • Energy, Environment, Economic Growth

Shenzhen University
2021-2025

The objective of this paper is to ascertain the impact Chinese FDI on economic growth in Pakistan. This study documents exploration determinants Pakistan by emphasizing significant role played and investments renewable energy particular. employs time series data analysis examine relationship between GDP FDI, inflation, trade openness, exchange rates, interest remittances, consumption from 1990 2019. involved performing ARDL bounds test, it was determined that dependent independent variables...

10.3390/en15062050 article EN cc-by Energies 2022-03-11

The foremost aim of this research was to forecast the performance three stock market indices using multilayer perceptron (MLP), recurrent neural network (RNN), and autoregressive integrated moving average (ARIMA) on historical data. Moreover, we compared extrapolative abilities a hybrid ARIMA with MLP RNN models, which are called ARIMA‐MLP ARIMA‐RNN. Because complicated noisy nature financial data, combine novel machine‐learning techniques such as model predict data used in study taken from...

10.1155/2021/5663302 article EN cc-by Complexity 2021-01-01

This study investigates the evolving trends in social media usage Pakistan across three key periods: pre-COVID-19, during COVID-19, and post-COVID-19. research bases its analysis on data obtained from Stat Counter Global Stats to understand changes user selection of platforms together with behavioral patterns consequences. To ensure validity reliability, were cross-checked publicly available statistics individual platforms, ensuring consistency reported trends. Facebook held top spot before...

10.3390/journalmedia6020059 article EN cc-by Journalism and Media 2025-04-19
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