2026-05-30T12:57:23Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/322982026-02-03T10:53:14Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Alaminos, David author Salas-Compás, María Belén author Fernández-Gámez, Manuel Ángel author 2023 The foreign exchange markets, renowned as the largest financial markets globally, also stand out as one of the most intricate due to their substantial volatility, nonlinearity, and irregular nature. Owing to these challenging attributes, various research endeavors have been undertaken to effectively forecast future currency prices in foreign exchange with precision. The studies performed have built models utilizing statistical methods, being the Monte Carlo algorithm the most popular. In this study, we propose to apply Auxiliary-Field Quantum Monte Carlo to increase the precision of the FOREX markets models from different sample sizes to test simulations in different stress contexts. Our findings reveal that the imple- mentation of Auxiliary-Field Quantum Monte Carlo significantly enhances the accuracy of these models, as evidenced by the minimal error and consistent estimations achieved in the FOREX market. This research holds valuable implications for both the general public and financial institutions, empowering them to effectively anticipate significant volatility in exchange rate trends and the associated risks. These insights provide crucial guidance for future decision-making processes. Alaminos, D., Salas, M. B., & Fernández-Gámez, M. Á. (2023). Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience. Humanities and Social Sciences Communications, 10(1), 1-21. https://hdl.handle.net/10630/32298 10.1057/s41599-023-01836-2 Método de Monte Carlo - Cambio exterior Método de Monte Carlo - Simulación por ordenador Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience.