![]() She earned her bachelor’s degree from Universidad Nacional de Tucumán, a master’s degree from Centro de Estudios Monetarios y Financieros in Spain in addition to master’s and doctoral degrees in economics from Brown University. Many of her current research projects focus on financial networks estimation and, more recently, at the intersection with NLP methods. She is particularly interested in applied econometrics and econometric methodology for time series. Her research interests lie in the areas of time series analysis, financial econometrics and financial networks. Scidá, who is originally from Tucumán, a small province in northern Argentina, joined the Richmond Fed in 2016. Until recently, she was the co-coordinator of the Quantitative Supervision and Research unit’s Seminars and Brown Bags series. Her supervisory experience includes model development and forecasting under stress conditions as well as examination from participation in the Comprehensive Capital Analysis and Review program. In her previous role, she served as the Deputy Lead of the Pre-Prevision Net Revenue modeling team of the Federal Reserve System Stress Testing program. On the supervisory side, she leads an innovation project that leverages Natural Language Processing (NLP) methods and mapping techniques. IT IS A VIOLATION PUNISHABLE UNDER LAW FOR ANY PERSON UNDER THE AGE OF TWENTY-ONE TO PRESENT ANY WRITTEN EVIDENCE OF AGE WHICH IS FALSE, FRAUDULENT OR NOT ACTUALLY HIS/HER OWN FOR THE PURPOSE OF ATTEMPTING TO PURCHASE ANY ALCOHOLIC BEVERAGE.Daniela Scidá is a manager and financial economist in the Supervision, Regulation and Credit department.
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