The great majority of the public believe that larger banks are in a much better financial position since the Great Financial ...
1 School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) Chennai Campus, Chennai, Tamil Nadu, India 2 Department of Computer Science and Engineering, Puducherry ...
Investigation of the anomalies associated with crashes and jackpots in the Chinese stock market. Design/methodology/approach – We propose a logit model to predict the events of crashes and jackpots in ...
Crucially, this is not just academic debate. The UK has already experimented with elements of new economics, for example, ...
Location data is now a monetizable asset— less about map tiles, directions, and location pins, and more about behavioral, ...
In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, agent-based models (ABMs) proliferated across many fields, including economics ...
We aim to examine two issues. First, we intend to identify the best performing expected return proxies. Second, we investigate whether the expected return proxies for individual stocks can track the ...
China Faces Growth Test as PMI Signals Strain Post-TruceTue, 04 Nov 2025 01:55:23 GMT Quantamental FX Trading: Blending Macro and Quantitative Analysis to Trade CurrenciesFri, 26 Sep 2025 19:58:07 GMT ...
This paper points to some of the difficulties in large-scale econometric modeling. The major issues here include the logic of the equations, the nature of the stochastic disturbance terms, the logic ...
ISLAMABAD: Finance Minister Muhammad Aurangzeb continued his outreach to ambassadors based in Islamabad, briefing them on Pakistan’s transition from a difficult phase of macroeconomic adjustment to ...
The Economic Justice and Rights Division works to build just economies based on respect for human rights. We investigate how the global economic system both drives inequality that undermines human ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...