This paper investigates the effects of the coronavirus disease 2019 (COVID-19) pandemic
on financial institutions and on consumers' adoption of Financial Technology (FinTech) for …

The observation that a socioeconomic agent with a high reputation gets a disproportionately
higher recognition for the same work than an agent with lower reputation is typical in career …

Computational finance combines machine learning with financial needs to provide more
efficient solutions for investment analysis and automated trading. In previous studies …

In recent years, an increasing number of researchers have applied machine learning
techniques to online portfolio selection (OLPS), aiming to improve the efficiency and …

We empirically investigate whether financial structures affect income inequality. Using panel
data for 97 economies covering above two decades preceding the FinTech surge we …

This paper discusses how digital technologies including artificial intelligence (AI) reshape
the work of lawyers and the organisations that they work for. We overview how AI is being …

This study analyzes the Korean housing market using an agent-based simulation from
financial and societal perspectives. We initialize heterogeneous household agents using …

The catch-up effect and the Matthew effect offer opposing characterizations of globalization:
the former predicts an eventual convergence as the poor can grow faster than the rich due to …

Net servet birikimi kişilerin finansal varlıkları ile finansal olmayan varlıklarının toplamından
borçlarının çıkarılması sonucu elde edilir. Servet bileşenlerinin gelir dağılımı üzerindeki …

Digital finance (DIF) is developing rapidly in China, and its popularization has brought new
hope for farmers' income growth. DIF can quickly, proactively, and comprehensively grasp …