Capturing asymmetry in real exchange rate with quantile autoregression
Mauro S. Ferreira
Additional contact information
Mauro S. Ferreira: Cedeplar-UFMG
Textos para Discussão Cedeplar-UFMG from Cedeplar, Universidade Federal de Minas Gerais
Quantile autoregression is used to explore asymmetries in the adjustment process of pair wise real exchange rate between the Italian lire, French franc, Deutsch mark, and the British pound. Based on the best specification for each quantile we construct predicted conditional density functions which guided us to identify two sources of asymmetry: 1) dispersion depends on the conditioned value of the real exchange rate, i.e., “conditional” heterokedasticity; 2) the probability of increases and falls also changes according to the conditioned value, i.e., there is higher probability for the real exchange rate to appreciate (depreciate) given the currency is depreciated (appreciated).We only verified strong heterokedasticity in relations among the lire, franc, and mark, which was resolved by estimating quadratic autoregressive model for some quantiles. Relations involving the pound presented stable but higher dispersion indicating larger probability of wider oscillation.
Keywords: exchange rate; quantile autoregression; unit root; asymmetry (search for similar items in EconPapers)
JEL-codes: C14 C22 F31 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ets, nep-ifn and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cdp:texdis:td306
Ordering information: This working paper can be ordered from
Cedeplar-FACE-UFMG Av. Antonio Carlos, 6627 Belo Horizonte, MG 31270-901 Brazil
Access Statistics for this paper
More papers in Textos para Discussão Cedeplar-UFMG from Cedeplar, Universidade Federal de Minas Gerais Cedeplar-FACE-UFMG Av. Antonio Carlos, 6627 Belo Horizonte, MG 31270-901 Brazil. Contact information at EDIRC.
Series data maintained by Gustavo Britto ().