Rodrigo S. Targino

Rodrigo S. Targino

Assistant Professor of Statistics

Getulio Vargas Foundation (FGV)

Biography

I am an Assistant Professor in Statistics at the School of Applied Mathematics (EMAp), at the Getulio Vargas Foundation (FGV). Since 2021, I am an Associate Editor of the Brazilian Review of Finance (RBFin). For the academic year 2022/23 I was on a sabbatical from FGV EMAp, working as a Visiting Associate Professor at the Department of Statistics and Applied Probability (PSTAT) at the University of California, Santa Barbara (UCSB).

From 2012 to 2016, I was a PhD candidate at the Department of Statistical Science, at the University College London (UCL). In 2014 I was also a recipient of the Australia Award Endeavour Research Fellowship.

After a completing a BSc in Applied Mathematics and a MSc in Statistics (both from Federal University of Rio de Janeiro, Brazil) I spent 2.5 years working at the financial industry in Brazil, first as a Credit Risk Modelling Analyst at Itaú-Unibanco Bank and then as a Market Risk Analyst at Credit-Suisse Hedging-Griffo. During the Masters I also collaborated on a IMPA / Petrobras research project, mainly focused on Real Options problems.

Interests

  • Bayesian Statistics
  • Financial and Actuarial Risk Management

Education

  • PhD in Statistics, 2017

    University College London

  • MSc in Statistics, 2010

    Federal University of Rio de Janeiro (UFRJ)

  • BSc in Applied Mathematics, 2007

    Federal University of Rio de Janeiro (UFRJ)

Experience

 
 
 
 
 

Visiting Associate Professor

University of California, Santa Barbara (UCSB)

Sep 2022 – Jun 2023 Santa Barbara, CA, USA
 
 
 
 
 

Assistant Professor

Getulio Vargas Foundation (FGV)

Jan 2017 – Present Rio de Janeiro, RJ, Brazil
 
 
 
 
 

Market Risk Analyst

Credit-Suisse Hedging-Griffo

Mar 2011 – Aug 2012 São Paulo, SP, Brazil
 
 
 
 
 

Credit Risk Modelling Analyst

Itaú-Unibanco Bank

Mar 2010 – Mar 2011 São Paulo, SP, Brazil

Recent & Upcoming Talks

Risk Budgeting Portfolios from Simulations
Jul 31, 2023 12:00 AM Escola de Séries Temporais, Florianópolis, Brazil
Avoiding zero probability events when computing Value at Risk contributions
Jun 6, 2023 12:00 AM SIAM Financial Mathematics 2023
Risk Budgeting Portfolios from Simulations
May 9, 2023 12:00 AM Financial and Actuarial Mathematics (FAM) seminar, UCLA
See all talks

Publications

Bernardo Freitas Paulo da Costa, Silvana Pesenti, Rodrigo S. Targino (2023). Risk Budgeting Portfolios from Simulations. European Journal of Operational Research.

DOI

Cyril Benezet, Emmanuel Gobet, Rodrigo S. Targino (2023). Transform MCMC schemes for sampling intractable factor copula models. Methodology and Computing in Applied Probability.

URL

Takaaki Koike, Yuri F Saporito, Rodrigo S Targino (2022). Avoiding zero probability events when computing Value at Risk contributions. Insurance: Mathematics and Economics.

DOI

See all publications

Preprints

Helton Graziadei, Paulo C. Marques F., Eduardo F. L. de Melo, Rodrigo S. Targino (2023). Conformal prediction for frequency-severity modeling.

URL

Sebastian Jaimungal, Silvana Pesenti, Yuri Saporito, Rodrigo S. Targino (2023). Risk Budgeting Allocation for Dynamic Risk Measures.

URL

Luiz Fernando G. N. Maia, Teemu Pennanen, Moacyr A. H. B. da Silva, Rodrigo S. Targino (2023). Stochastic modelling of football matches.

URL

David Evangelista, Yuri F Saporito, Rodrigo S Targino (2021). Uma análise do risco de fundos de ações brasileiros em 2020.

PDF URL

Diogo Duarte, Yuri F Saporito, Rodrigo S Targino (2018). The Impact of the Freedom of the Press on Risk.

PDF URL

Students

StartEndNameLevelInstitutionProjectPosition
20232023Victor BombardaBScFGVInferência Bayesiana em Processos GaussianosBIX Tecnologia
2023Leandro GuilheiroMScIMPATBD
20222023Rener de Souza OliveiraBScFGVA Survey On Fully Homomorphic Encryption With Statistical ApplicationsBOCOM BBM Bank
20222023André Lorenzo BittencourtMScIMPAOptimal Investment-Consumption Decision Using Reinforcement LearningUniversity of Warwick (MSc)
20212021Denner da Silva SantosBScFGVEstudo do filtro de Kalman para modelos dinâmicos lineares
20212021Vitoria Mesquita LeiteBScFGVEstudo da utilização de redes neurais recorrentes para geração de manchetes1STi
20202021Luiz Fernando G. N. MaiaMScFGVModelos in-play para partidas do Campeonato Brasileiro de FutebolEBAPE/FGV
20192023Hugo BarretoMScFGVEstimating Risk Measures of multiple Portfolio Optimization Strategies
2019Christiano Lo Bianco ClementinoMScIMPATBD
20192020Pedro Medeiros TeixeiraMScFGVIdentification of causal effects: a methodological reviewCERI/FGV
20192020Marcelo OrglerMScFGVMultivariate loss reserving using factor copulasAI Consult
20182019Lucas Paiva de CarvalhoMScIMPAPricing interest rate derivatives under monetary changesB2W Digital
20182019João Marcos Amorim dos SantosMScFGVPrevisões de Resultados em Partidas do Campeonato Brasileiro de FutebolBrazilian Navy
20182019Yuri Resende Fonseca*MScIMPATree Based Model for Estimating the Local Volatility SurfaceColumbia University (PhD)
20172018Renan Lima Novais*MScFGVEstudo de aplicações de Processos Gaussianos na predição de valor de oferta de venda de apartamentosFGV Projetos
20192020Matheus BorghiBScFGVImpacto da sensibilidade a variáveis Macroeconômicas no Risco de Crédito Corporativo Norte-americanoSPX Capital
20172017Paulo de Tarso Silva Santos*BScFGVModelos de previsão do resultado de atas do Copom baseados em processamento de linguagem natural e curvas de ativos financeirosBOCOM BBM Bank
20162016Helder Rezende*BScFGVO Cálculo do VaR usando Modelos de VolatilidadeBTG Pactual
(*) Second supervisor.

Teaching

StartEndLevelInstitutionCourse
20232023BScUCSBRegression Analysis
20222023BScUCSBIntroduction to Bayesian Data Analysis
20172018BScFGVProbability
20172018BScFGVStatistics
20172021*MScIMPAStatistics and Econometrics
20182019MScFGVStatistics
20192022*BScFGVMachine Learning
20192022MScFGVProbability
20202022MSc/PhDFGVMachine Learning
20202020BScFGVStatistics and Econometrics

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