2 citations · 4 across the 2 of their papers we have counts for
3 papers
econ.GN2023
Harnessing the Potential of Volatility: Advancing GDP Prediction
Ali Lashgari
This paper presents a novel machine learning approach to GDP prediction that incorporates volatility as a model weight. The proposed method is specifically designed to identify and…
econ.EM2023★ 2 cited
Forecasting the Performance of US Stock Market Indices During COVID-19: RF vs LSTM
Reza Nematirad, Amin Ahmadisharaf, Ali Lashgari
The US stock market experienced instability following the recession (2007-2009). COVID-19 poses a significant challenge to US stock traders and investors. Traders and investors sho…
econ.EM2023★ 2 cited
Assessing Text Mining and Technical Analyses on Forecasting Financial Time Series
Ali Lashgari
Forecasting financial time series (FTS) is an essential field in finance and economics that anticipates market movements in financial markets. This paper investigates the accuracy…