Author
Listed:
- KEROLLY KEDMA FELIX DO NASCIMENTO
(Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos 52171-900, Recife/PE, Brazil)
- FÃ BIO SANDRO DOS SANTOS
(Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos 52171-900, Recife/PE, Brazil)
- KELLYMA KELLYASHIN FELIX DO NASCIMENTO
(��Federal Institute of ParaÃba, Campus Sousa (São Gonçalo), Rua Pedro Antunes s/n, São Gonçalo 58814-000, São Gonçalo Sousa/PB, Brazil)
- KENIKYWAYNNE KEROWAYNNE FELIX DO NASCIMENTO
(��Federal Institute of ParaÃba, Campus Sousa (São Gonçalo), Rua Pedro Antunes s/n, São Gonçalo 58814-000, São Gonçalo Sousa/PB, Brazil)
- SILVIO FERNANDO ALVES XAVIER JÚNIOR
(��Department of Statistics, State University of ParaÃba, Rua Baraúnas No. 351, Bodocongó, Campina Grande/PB 58109-753, Campina Grande, ParaÃba, Brazil)
- JADER SILVA JALE
(Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos 52171-900, Recife/PE, Brazil)
- TIAGO A. E. FERREIRA
(Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos 52171-900, Recife/PE, Brazil)
Abstract
This study evaluates the Brazilian agricultural commodities market and the dollar–real exchange price variation using the multifractal detrended fluctuations analysis methodology. We investigated the period from January 1, 2019 to September 25, 2019, outside the COVID-19 pandemic, and from January 1, 2020 to September 25, 2020, during the COVID-19 pandemic. We verified the fluctuations of commodities and dollar–real exchange prices during the pandemic caused by COVID-19 showed a record price. The results of Hurst exponent and multifractal parameters α0, w, and r indicate that during the COVID-19 pandemic, sugar was the most efficient commodity, while pork the less one. Compared to the identical months in 2019, the dollar–real exchange was the most efficient market, while ethanol was the least efficient.
Suggested Citation
Kerolly Kedma Felix Do Nascimento & Fã Bio Sandro Dos Santos & Kellyma Kellyashin Felix Do Nascimento & Kenikywaynne Kerowaynne Felix Do Nascimento & Silvio Fernando Alves Xavier Jãšnior & Jader Silva, 2022.
"Covid-19 Influence Over Brazilian Agricultural Commodities And Dollar–Real Exchange,"
FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(06), pages 1-10, September.
Handle:
RePEc:wsi:fracta:v:30:y:2022:i:06:n:s0218348x22501006
DOI: 10.1142/S0218348X22501006
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:fracta:v:30:y:2022:i:06:n:s0218348x22501006. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: https://www.worldscientific.com/worldscinet/fractals .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.