This study reviewed the artificial intelligence (AI) and machine learning (ML) literature in the
finance field. Using a bibliometric approach, we collected 348 articles published in 2011 …

Both academic and nonacademic literature is evolving following the oscillating development
of artificial intelligence (AI) and computing power's evolution in their application to finance …

This work develops machine learning (ML) predictive models on price signals for financial
instruments and their integration into trading strategies. In general, ML models have been …

The SEC requires publicly traded REITs to discuss commercial real estate market conditions
in their financial statements in order to provide REIT investors with decision-relevant …

It can be seen that artificial intelligence has brought a lot of positive impacts to the financial
industry but has also brought a lot of risks. Therefore, this paper focuses on analyzing the …

This study examines the relation between sentiment and hype (intensity of coverage) on
Twitter and the local housing market prices across 10 US cities of the S&P/Shiller-Case …

This paper is devoted to the relationship between news sentiment and changes in housing
market movements. It provides a novel and straightforward approach to account for …

This study investigates the impact of social media sentiment on indirect real estate market
returns by utilizing a comprehensive natural language processing approach to identify …

The former approaches for financial risk mitigation are warranted to be revamped, as they
are no longer effective. Nevertheless, the continuous advancement in fintech has developed …

This study systematically review literature on the relationship between sentiment
measurement and house prices in the contemporarily from 2012 to 2020, using a systematic …