Professor of Financial Econometrics at Sao Paulo School of Economics - FGV since 2008.
Professor of Finance at INSPER from 2000 to 2008
Associate Professor at Statistics Departament, Universidade de São Paulo 1990 to 2000
EDUCATION
Habilitation (Livre Docente) Universidade de São Paulo (1990)
PhD, Economics (Statistics) London School of Economics (1983)
MSc Statistics - IMPA (1978)
BSc Applied Mathematics - PUC-Rio (1974)
RESEARCH INTERESTS
Financial Econometrics; High Dimensional Model; Forecasting; Factor Models.
23
Scopus Publications
1574
Scholar Citations
22
Scholar h-index
43
Scholar i10-index
Scopus Publications
Modeling how macroeconomic Shocks Affect Regional Employment: Analyzing the Brazilian Formal Labor Market Using the Global VAR Approach Bruno Tebaldi Q. BARBOSA, Emerson Fernandes MARÇAL, Pedro Luiz Valls PEREIRA Estudos Economicos, 2026 Using a Global Vector Autoregressive (GVAR) framework that addresses the curse of dimensionality, we assess linkages between regions and examine how macroeconomic shocks spread across them. This study examines the Brazilian labor market by identifying and quantifying the regional and temporal propagation of shocks in aggregate economic activity. A key innovation is our use of data from the Brazilian Institute of Geography and Statistics to measure regional linkages by analyzing the infrastructure connections of Brazilian municipalities. We capture regional interdependence by incorporating both economic and infrastructure connections. Our findings indicate that macroeconomic shocks have a particularly strong effect in Brazil’s South, Southeast, and Midwest regions.
Forecasting Industrial Production Using Its Aggregated and Disaggregated Series or a Combination of Both: Evidence from One Emerging Market Economy Diogo de Prince, Emerson Fernandes Marçal, Pedro L. Valls Pereira Econometrics, 2022 In this paper, we address whether using a disaggregated series or combining an aggregated and disaggregated series improves the forecasting of the aggregated series compared to using the aggregated series alone. We used econometric techniques, such as the weighted lag adaptive least absolute shrinkage and selection operator, and Exponential Triple Smoothing (ETS), as well as the Autometrics algorithm to forecast industrial production in Brazil one to twelve months ahead. This is the novelty of the work, as is the use of the average multi-horizon Superior Predictive Ability (aSPA) and uniform multi-horizon Superior Predictive Ability (uSPA) tests, used to select the best forecasting model by combining different horizons. Our sample covers the period from January 2002 to February 2020. The disaggregated ETS has a better forecast performance when forecasting horizons that are more than one month ahead using the mean square error, and the aggregated ETS has better forecasting ability for horizons equal to 1 and 2. The aggregated ETS forecast does not contain information that is useful for forecasting industrial production in Brazil beyond the information already found in the disaggregated ETS forecast between two and twelve months ahead.
Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach Carlos Trucíos, João H. G. Mazzeu, Marc Hallin, Luiz K. Hotta, Pedro L. Valls Pereira, et al. Journal of Business and Economic Statistics, 2022 Based on a General Dynamic Factor Model with infinite-dimensional factor space and MGARCH volatility models, we develop new estimation and forecasting procedures for conditional covariance matrices in high-dimensional time series. The finite-sample performance of our approach is evaluated via Monte Carlo experiments and outperforms the most alternative methods. This new approach is also used to construct minimum one-step-ahead variance portfolios for a high-dimensional panel of assets. The results are shown to match the results of recent proposals by Engle, Ledoit, and Wolf and achieve better out-of-sample portfolio performance than alternative procedures proposed in the literature.
Dynamic D-Vine Copula Model with Applications to Value-at-Risk (VaR) Paula V. Tófoli, Flávio A. Ziegelmann, Osvaldo Candido, Pedro L. Valls Pereira Journal of Time Series Econometrics, 2019 Vine copulas are multivariate dependence models constructed from pair-copulas (bivariate copulas). In this paper, we allow the dependence parameters of the pair-copulas in a D-vine decomposition to be potentially time-varying, following a restricted ARMA(1, m) process, in order to obtain a very flexible dependence model for applications to multivariate financial return data. We investigate the dependence among the broad stock market indexes from Germany (DAX), France (CAC 40), Britain (FTSE 100), the United States (S&P 500) and Brazil (IBOVESPA) both in a crisis and in a non-crisis period. We find evidence of stronger dependence among the indexes in bear markets. Surprisingly, though, the dynamic D-vine copula indicates the occurrence of a sharp decrease in dependence between the indexes FTSE and CAC in the beginning of 2011, and also between CAC and DAX during mid-2011 and in the beginning of 2008, suggesting the absence of contagion in these cases. We evaluate the dynamic D-vine copula with respect to Value-at-Risk (VaR) forecasting accuracy in crisis periods. The dynamic D-vine outperforms the static D-vine in terms of predictive accuracy for our real data sets. We also investigate the dynamic D-vine copula in a simulation study and the overall results of the Monte Carlo experiments are quite favorable to the dynamic D-vine copula in comparison with a static D-vine copula.
Modeling how macroeconomic Shocks Affect Regional Employment: Analyzing the Brazilian Formal Labor Market Using the Global VAR Approach BTQ BARBOSA, EF MARÇAL, PLV Pereira Estudos Econômicos (São Paulo) 56 (01), e53575615 , 2026 2026
Abordagens de multiplicador ótimo para estratégia de investimento do portfólio de proporção constante com segurança AB Oliveira, PLV Pereira Revista Brasileira de Economia 80 (1) , 2026 2026
Forecasting intraday volatility and densities using deep learning B Morier, PLV Pereira The Quarterly Review of Economics and Finance, 102076 , 2025 2025 Citations: 4
Transmuting Unequally Spaced Data: A MIDAS Regression Touch to Forecast Real GDP Growth in Brazil J Ladeira Ferreira, PL Valls Pereira Journal of Business Cycle Research, 1-24 , 2025 2025
Understanding and Forecasting the Effects of Global Shocks on Fuel Prices: The Brazilian case B Tebaldi, PL Valls Pereira, EF Marçal Pedro L. and Marçal, Emerson Fernandes, Understanding and Forecasting the … , 2025 2025
Forecasting Regional Employment in the Presence of Structural Breaks: Analyzing the Brazilian Formal Labor Market using the Global VAR & IIS Approach B Tebaldi, PL Valls Pereira, EF Marçal Pedro L. and Marçal, Emerson Fernandes, Forecasting Regional Employment in … , 2025 2025
Forecasting Bitcoin and Ethereum risk measures through MSGARCH models: Does the specification matter? L Hotta, C Trucíos, PLV Pereira, M Zevallos Brazilian Review of Finance 23, e202503-e202503 , 2025 2025 Citations: 6
Transmuting Unequally Spaced Data JL Ferreira, PLV Pereira Journal of Business Cycle Research 21 (1), 25-48 , 2025 2025 Citations: 1
Exploring co-explosive dynamics: Bitcoin price, attractiveness, and sentiment variables D de Prince, EF Marcal, PLV Pereira Economics Letters 246, 112072 , 2025 2025 Citations: 4
Does the private database help to explain Brazilian inflation? EF Marçal, PLV Pereira, D de Prince Time Series and Wavelet Analysis: Festschrift in Honor of Pedro A. Morettin … , 2024 2024
Portfolio resampling in the Brazilian stock market: Can it outperforms Markowitz optimization? AB Oliveira, C Trucíos, PLV Pereira Brazilian Review of Finance 22 (3), 57-75 , 2024 2024 Citations: 3
Modelling Intraday Covariance PL Valls Pereira, B Morier Available at SSRN 5216831 , 2023 2023
Modeling High Frequency Intraday Returns by Non-Linear State Space Models PL Valls Pereira, B Morier Available at SSRN 5216819 , 2023 2023
Comparing the Accuracy of Inflation Forecasting in Brazil: A MIDAS Approach with Daily Online Prices versus Dynamic Factor Models B Tebaldi, D de Prince, PL Valls Pereira, H Vicente Diogo and Valls Pereira, Pedro L. and Vicente, Hully, Comparing the Accuracy … , 2022 2022 Citations: 1
Forecasting industrial production using its aggregated and disaggregated series or a combination of both: evidence from one emerging market economy D de Prince, EF Marçal, PL Valls Pereira Econometrics 10 (2), 27 , 2022 2022 Citations: 9
The analysis of default in a fan membership program: the use of credit scoring as sports management tool. VB Monteiro, PLV Pereira 2022
Análise da inadimplência em um programa sócio-torcedor: o uso do credit scoring como ferramenta de gestão esportiva VB Monteiro, PLV Pereira PODIUM Sport, Leisure and Tourism Review 11 (1), 145-174 , 2022 2022 Citations: 4
Are Professional Forecasters rational? What is the role of instability and what variables affect them? D de Prince, PL Valls Pereira, EF Marçal What is the role of instability and what variables affect them , 2022 2022 Citations: 1
Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach C Trucíos, JHG Mazzeu, M Hallin, LK Hotta, PL Valls Pereira, M Zevallos Journal of Business & Economic Statistics 41 (1), 40-52 , 2022 2022 Citations: 26
Strategies of portfolio investment with estimates of bull and bear markets PLV Pereira, AB Oliveira Brazilian Review of Finance 19 (4), 160-185 , 2021 2021 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Small sample properties of GARCH estimates and persistence S Hwang, PL Valls Pereira The European Journal of Finance 12 (6-7), 473-494 , 2006 2006 Citations: 197
Convergence clubs among Brazilian municipalities E Andrade, M Laurini, R Madalozzo, PLV Pereira Economics letters 83 (2), 179-184 , 2004 2004 Citations: 122
Income convergence clubs for Brazilian municipalities: a non-parametric analysis M Laurini, E Andrade, PL Valls Pereira Applied Economics 37 (18), 2099-2118 , 2005 2005 Citations: 110
Evaluation of contagion or interdependence in the financial crises of Asia and Latin America, considering the macroeconomic fundamentals EF Marçal, PL Valls Pereira, DML Martin, WT Nakamura Applied Economics 43 (19), 2365-2379 , 2011 2011 Citations: 65
How persistent is stock return volatility? an answer with markov regime switching stochastic volatility models S Hwang, SE Satchell, PL Valls Pereira Journal of Business Finance & Accounting 34 (5‐6), 1002-1024 , 2007 2007 Citations: 60
Analysis of contagion from the dynamic conditional correlation model with Markov Regime switching PN Rotta, PL Valls Pereira Applied Economics 48 (25), 2367-2382 , 2016 2016 Citations: 47
APT e variáveis macroeconômicas: Um estudo empírico sobre o mercado acionário brasileiro A Schor, M BONOMO, PLV Pereira Finanças Aplicadas ao Brasil. BONOMO, Marco (Org.). 2nd ed. Rio de Janeiro … , 2004 2004 Citations: 40
Testing the hypothesis of contagion using multivariate volatility models EF Marçal, PLV Pereira Brazilian Review of Econometrics 28 (2), 191-216 , 2008 2008 Citations: 35
A estrutura a termo das taxas de juros no brasil: Testando a hipótese de expectativas EF Marçal, PLV Pereira Pesquisa e Planejamento Econômico , 2007 2007 Citations: 34
Alternative models to extract asset volatility: A comparative study PLV Pereira, LK Hotta, LAR de Souza, NMCG de Almeida Brazilian review of econometrics 19 (1), 57-109 , 1999 1999 Citations: 34
Taxa de câmbio real e paridade de poder de compra no Brasil PLV Pereira, M Holland Revista Brasileira de Economia 53 (3), 259-285 , 1999 1999 Citations: 33
Co-integração: uma resenha com aplicações a séries brasileiras PLV Pereira Brazilian Review of Econometrics 8 (2), 7-29 , 1988 1988 Citations: 31
Testes de exogeneidade fraca e superexogeneidade para a demanda por moeda no Brasil MI Nakane Banco Nacional de Desenvolvimento Econômico e Social , 1994 1994 Citations: 29
Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach C Trucíos, JHG Mazzeu, M Hallin, LK Hotta, PL Valls Pereira, M Zevallos Journal of Business & Economic Statistics 41 (1), 40-52 , 2022 2022 Citations: 26
Paridade do poder de compra: testando dados brasileiros EF Marçal, PLV Pereira, OC Santos Filho Revista Brasileira de Economia 57, 159-190 , 2003 2003 Citations: 26
" Ombro-Cabeça-Ombro": Testando a Lucratividade do Padrão Gráfico de Anáise Técnica no Mercado de Ações Brasileiro PG Boainain, PLV Pereira Revista Brasileira de Finanças 7 (3), 265-303 , 2009 2009 Citations: 24
The effects of structural breaks in ARCH and GARCH parameters on persistence of GARCH models S Hwang, PL Valls Pereira Communications in Statistics—Simulation and Computation 37 (3), 571-578 , 2008 2008 Citations: 24
Análise do Desempenho de Regras da Análise Técnica Aplicada ao Mercado Intradiário do Contrato Futuro do Í ndice Ibovespa RF de Figueiredo Baptista, PLV Pereira Revista Brasileira de Finanças 6 (2), 205-234 , 2008 2008 Citations: 24
Closed form formula for the arbitrage free price of an option for the one day interfinancial deposits index CA Viera Neto, PLV Pereira Finance Lab Working Papers , 1999 1999 Citations: 24
Robustness and the general dynamic factor model with infinite-dimensional space: Identification, estimation, and forecasting C Trucíos, JHG Mazzeu, LK Hotta, PLV Pereira, M Hallin International Journal of Forecasting 37 (4), 1520-1534 , 2021 2021 Citations: 23