Exploring the Influence of Financial Technologies on Asset Price Dynamics: An Analytical Blueprint

The complicated link between financial technology (FinTech) and asset pricing processes are examined in this article. It is presented an analytical framework combining foundational theories from the fields of Information Economics, Behavioral Finance, and Market Efficiency with the most recent FinTech advances like blockchain, data analytics, and automated trading systems. More specifically, it is used a combination of financial, and behavioral economics with technological adoption models. The incorporation of actual evidence strengthens theoretical principles. Data analytics, blockchain, automated trading, peer-to-peer lending, and regulatory technologies are the key five elements in the context of Fintech that affect asset value and are examined on this paper. The implications of how these results affect a variety of participants, such as investors and regulators, are discussed in this paper. Finally, the research focuses on the importance of testing the theory using empirical data and analyzing the ethical concerns of employing these technologies in asset evaluation.