New Financial Models for Predicting and Managing Liquidity Traps in the Digital Economy

In the digital economy, innovative financial models serve as effective tools for predicting and managing liquidity traps. These models leverage big data and advanced machine learning algorithms to analyze market behavior and identify liquidity patterns. Specifically, time-series analysis and forecasting techniques assist investors in understanding market trends and making informed decisions. Furthermore, these models can identify weaknesses and vulnerabilities in financial supply chains, thereby enabling the management of risks associated with liquidity traps (financial constraints and bankruptcy). Additionally, blockchain technology acts as a driving force in this domain by enabling the development of transparent and decentralized financial models. The use of smart contracts facilitates automated liquidity management and streamlines financial processes. Ultimately, these innovations not only enhance financial efficiency but also foster public trust in the digital economy by increasing transparency.

کلیدواژه ها:

Digital Economy ، Innovative Financial Models ، Liquidity Trap ، Big Data