Here, we introduce a new approach for generating sequences of implied volatility (IV) surfaces across multiple assets that is faithful to historical prices. We do so using a combination of functional data analysis and neural stochastic differential equations (SDEs) combined with a probability...

As the impacts of climate change are expected to be increasingly disruptive, a growing share of the economic literature moved to modelling approaches to address the interconnectedness of social, economic, and environmental issues. Among them, System Dynamics (SD) stands out as a well-established...

Population projections are predominantly made using the cohort-component method (CCM). The opportunities for further development within that framework are limited. Lately, with advances in technical and computational capacity, the microsimulation framework has become a serious contender. In...

In this study, we investigate three trade policy scenarios: i) the revival of multilateralism, ii) plurilateral cooperation, and iii) geopolitical rivalry. In the first scenario, both tariffs and NTMs are reduced on a multilateral basis. In the second scenario, varying groups of countries...

The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on the economic consequences of policy changes. To help assess and potentially strengthen the credibility of such quantitative predictions we introduce an IV-based goodness-of-fit...

This basic manual proposes a new autonomous simulator to evaluate and solve socio-economic, business, and financial problems with using AI, big data, data sciences, neural networks, and multidimensional graphical models to help policy makers and academics to understand and solve dynamic and...