We model information diffusion process with the agent-based method to study the long term impact of false information caused by difference of agents' learning.

Our result provides an explanation to empirical studies that if connected agents are rich in investment experiences, they can distinguish false information ...

The aim of this paper is directly related to the analysis on how information diffusion may affect order submission decisions of traders, with different trading ...

The aim of this paper is to explore the trajectories and formulates predictions regarding the spread of ETFs on the financial markets in six European countries.

Apr 1, 2023 · We study how the social transmission of public news influences investors' beliefs and securities markets. Using data on investor social ...

Jun 24, 2024 · We study how the social transmission of public news influences investors' beliefs and the securities markets.

Jan 9, 2021 · Hence, this study put-forward a novel multi-source data-fusion stock market predictive framework built on a deep hybrid neural network ...

We study how the social transmission of public news influences investors' beliefs and securities markets. Using data on social networks, we find that earnings ...

We study the real-time relationship between chatter on Twitter and the stock trading volume of 96 firms listed on the Nasdaq 100, during 193 days of trading in ...

Information diffusion in social networks can be broadly classified into two categories: influence. (by a system or a peer) and discovery (by active search or ...