| Grant number: | 23/01728-0 |
| Support Opportunities: | Research Projects - Thematic Grants |
| Start date: | March 01, 2024 |
| End date: | February 28, 2029 |
| Field of knowledge: | Applied Social Sciences - Economics - Quantitative Methods Applied to Economics |
| Principal Investigator: | Pedro Luiz Valls Pereira |
| Grantee: | Pedro Luiz Valls Pereira |
| Host Institution: | Escola de Economia de São Paulo (EESP). Fundação Getúlio Vargas (FGV). São Paulo , SP, Brazil |
| Pesquisadores principais: | Emerson Fernandes Marçal ; Luiz Koodi Hotta ; Marcelo Fernandes |
| Associated researchers: | Alexandre Rubesam ; André Alves Portela Santos ; André Barbosa Oliveira ; Andreza Aparecida Palma ; Bruno Tebaldi de Queiroz Barbosa ; Carlos Cesar Trucios Maza ; Diogo de Prince Mendonça ; Eduardo Fonseca Mendes ; Emerson Fernandes Marçal ; Jéfferson Augusto Colombo ; João Henrique Gonçalves Mazzeu ; Mauricio Enrique Zevallos Herencia ; Pedro Luiz Paolino Chaim ; Ricardo Buscariolli Pereira ; Vitor Borges Monteiro |
Abstract
This project deals with new methodologies for econometric modelling and forecasting in high dimensional and/or frequency setting, as well as mixed-data frequencies setting. One of the challenges in econometrics in high dimensional problems is to deal with complex world, including structural changes, using sparce vector autoregressive models and dense (factors). Applications of these methodologies include: estimation of covariance matrix using robust methods and statistical learning; dynamic factor model; asset pricing using statistical learning techniques; forecasting economic and financial time series using mixed-data frequencies and regularization; construction of vintage for economic and financial time series; modelling cryptofinance; exploits cross-sectional information to improve forecasts of stock index returns and volatility at the high frequency; employs textual data from major newspapers to predict stock volatility at B3; aims to assess the risk-adjusted performance of semivariance-managed portfolios for a very broad set of anomaly portfolios; statistical analysis of curve time series in the high dimensional; use nonparametric factor models to identify clusters of time series in high dimension vectors; production frontier estimation to incorporate environmental conditioning variables, allow for the dimension increase of the covariate set without suffering from the curse of dimensionality; incorporate time series models in the study. Results will be published in international journals with selective editorial policies and shall be presented in scientific conferences. Forming human resources is one of our main concerns. For this effect we will supervise pos-docs, undergraduate research assistantships, master theses and PhD dissertations. Seminars will be held regularly, in which the presentation of results, exchange of ideas, and where prospective talents may get acquainted with these research areas. In order to bring a serious push in this area in Brazil we intend to start a "Summer or Winter School" which will reunite every year international and Brazilian guest speakers, the project team, advanced undergraduate and graduate students. Two intermediate short courses will be held as well as a workshop where the state of the art and open problems will be discussed, and new and/or established scientific collaborations will happen. (AU)
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