Rolando Rubilar

Abstract

With broad experience as a methodological expert in data science, statistics, applied economics and analysis of social phenomena, which I have been able to develop in my academic career over the last 5 years, developing high impact research in these areas.

In 2023, I obtained the Ph.D degree in Statistic awarded by the Universidad de Valparaíso.

I also have over 10 years experience in finance, risk management, intellectual property protection, patenting processes, licensing of high technology and negotiating contracts with private companies and public institutions.

Academic Background

• Ph.D. In Statistics, Universidad de Valparaíso, 2023.

• Master in Finance, Universidad de Chile, 2018.

Refereed Publications (WoS)

• Rubilar-Torrealba, R. & Ruiz, J. L. (2025). Risk perception and risky asset allocation: A new approach. Finance Research Letters, 107843.
• Rubilar-Torrealba, R., Fermín, L. & Torres, S. (2025). Fractional Poisson process for modeling extreme values in financial data using the ABC methodology in parameter estimation. Journal of Applied Statistics, 1–25.
• Chahuán-Jiménez, K., Lara-Yergues, E., Garrido-Araya, D., Salum-Alvarado, E., Hurtado-Arenas, P., & Rubilar-Torrealba, R. (2025). Cluster Analysis of Digital Competencies Among Professors in Higher Education. In Frontiers in Education (Vol. 10, p. 1499856). Frontiers.
• Rojas, C. A., Chávez-Bustamante, F. & Rubilar-Torrealba, R. (2024). Human development and entrepreneurship: A cross-country analysis of early-stage, intention, and discontinuation. PloS one, 19(11), e0313678.
• Cabrera-Paniagua, Daniel, Rolando Rubilar-Torrealba, Nelson Castro & Joaquín Taverner. (2024). Artificial Punishment Signals for Guiding the Decision-Making Process of an Autonomous System. Applied Sciences 14, no. 17: 7595.
• Cabrera, D., Rubilar, R. & Cubillos, C. (2019). Resilience in the decision-making of an artificial autonomous system on the stock market. IEEE Access, 7, 145246-145258.
• Cabrera-Paniagua, D. & Rubilar-Torrealba, R. (2021). A novel artificial autonomous system for supporting investment decisions using a Big Five model approach. Engineering applications of artificial intelligence, 98, 104107.
• Cabrera-Paniagua, D. & Rubilar-Torrealba, R. (2022). Adaptive intelligent autonomous system using artificial somatic markers and Big Five personality traits. Knowledge-Based Systems, 249, 108995.
• Rubilar-Torrealba, R., Chahuán-Jiménez, K., & de la Fuente-Mella, H. (2023). A Stochastic Analysis of the Effect of Trading Parameters on the Stability of the Financial Markets Using a Bayesian Approach. Mathematics, 11(11), 2527.
• Cabrera-Paniagua, D., & Rubilar-Torrealba, R. (2023). Affective autonomous agents for supporting investment decision processes using artificial somatic reactions. Journal of Ambient Intelligence and Humanized Computing, 14(1), 677-696.
• Cabrera-Paniagua, D., Azola, C., & Rubilar-Torrealba, R. (2023). Using affective criteria in the decision-making of cognitive agents on flexible passenger transportation domain. Journal of Ambient Intelligence and Humanized Computing, 14(8), 10715-10729.
• Cabrera-Paniagua, Flores, D., Rubilar-Torrealba, R., & Cubillos, C. (2023). Bio-inspired artificial somatic index for reflecting the travel experience of passenger agents under a flexible transportation scenario. Scientific Reports.
• Chahuán-Jiménez, K., Rubilar, R., de la Fuente-Mella, H., & Leiva, V. (2021). Breakpoint analysis for the COVID-19 pandemic and its effect on the stock markets. Entropy, 23(1), 100.
• De la Fuente-Mella, H., Rubilar, R., Chahuán-Jiménez, K., & Leiva, V. (2021). Modeling COVID-19 cases statistically and evaluating their effect on the economy of countries. Mathematics, 9(13), 1558.
• Chahuan, K., Rubilar, R., & De la Fuente-Mella, H. (2021). Market openness and its relationship to the failure of financial markets due to COVID-19. Sustainability, 13, 10964.
• Chahuán-Jiménez, K., Rubilar-Torrealba, R., & De la Fuente-Mella, H. (2022). Econometric Modeling to Measure the Efficiency of Sharpe’s Ratio with Strong Autocorrelation Portfolios. Complexity, 2022, 1-10.
• Rubilar-Torrealba, R., Chahuán-Jiménez, K., De La Fuente-Mella, H., & Marzo-Navarro, M. (2022). Econometric Modeling to Measure the Social and Economic Factors in the Success of Entrepreneurship. Sustainability, 14(13), 7573.
• Rubilar-Torrealba, R., Chahuán-Jiménez, K., & de la Fuente-Mella, H. (2022). Analysis of the Growth in the Number of Patents Granted and Its Effect over the Level of Growth of the Countries: An Econometric Estimation of the Mixed Model Approach. Sustainability, 14(4), 2384.
• Scapini, V., Torres, S., & Rubilar-Torrealba, R. (2023). Meteorological, PM2.5 and PM10 factors on SARS-COV-2 transmission: The case of southern regions in Chile. Environmental Pollution, 322, 120961.
• Chahuán-Jiménez, K., Rubilar-Torrealba, R., Montenegro, P. M., Rivera, C. C., & de la Fuente-Mella, H. (2023). Impact of Scientific Productivity on Different Geographical Areas. Journal of Southwest Jiaotong University, 58(3).
• Rubilar-Torrealba, R., Chahuán-Jiménez, K., Geldres, V., & de la Fuente-Mella, H. (2023). Cluster analysis and macroeconomics indicators and its effect on the evolution of the use of clean energies. Energies.
• Rubilar-Torrealba, R., Chahuán-Jiménez, K., de la Fuente-Mella, H., Elórtegui-Gómez, C. (2024). Bayesian approach to stochastic estimation of population survival curves in Chile using ABC techniques and its impact over social structures. Computation.
• Araya, H. Garzón, J. Rubilar-Torrealba, R. (2023). Gamma mixed fractional Levy Ornstein – Uhlenbeck process. Theory of Probability and Its Applications.

Research Projects

• Fondecyt Iniciación: Evaluation of inequality in the Chilean pension system: role of incomplete information and decision making.

Social Research Networks

• Research Gate: Click Here
• Google Scholar: Click Here