Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

We provide a comprehensive analysis of the International Review of Financial Analysis
(IRFA) between 1992 and 2020 using bibliometrics, regression analysis, and structural topic …

Financial institutions, investors, mining companies and related firms need an effective
accurate forecasting model to examine gold price fluctuations in order to make correct …

This paper adds to the growing literature of Bitcoin by examining the link between investor
attention and Bitcoin returns, trading volume and realized volatility. Unlike previous studies …

Stock market price prediction has improved due to social network activity since social
networks can provide useful information, for example, on message sentiment. Few studies …

We examine the quantile connectedness of returns between the recently developed S&P
500 Twitter Sentiment Index and various asset classes. Rather than a mean-based …

In this paper, we investigate the predictive ability of three sentiment indices constructed by
social media, newspaper, and Internet media news to forecast the realized volatility (RV) of …

There is considerable interest in the impact of investor attention on investment returns,
especially for cryptocurrencies. However, previous research does not distinguish between …

The paper presents a framework to forecast futures prices of stocks listed on the National
Stock Exchange (NSE) in India during normal (unaffected by the COVID-19 pandemic) and …

Because of gold's value, systems for predicting its price have attracted extensive interest in
the scientific and industrial communities. Diverse artificial intelligence methods outperform …