2018
DOI: 10.21919/remef.v13i2.277
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Is Mexico's Forward Exchange Rate Market Efficient?

Abstract: This study proves the hypothesis of no bias in the forward exchange rate for the Mexican exchange market. A nonlinear Markov model with regime change was used instead of a linear regression model. The model identifies two states in the behavior of the forward exchange rate: one in which the null hypothesis of efficiency holds and the other one in which it does not. With the linear model the hypothesis is rejected for both forward rates, 30 and 90 days. However, when using the two-state model it is not possible… Show more

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Cited by 2 publications
(3 citation statements)
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“…Smoothed probabilities, which are calculated recursively based on the estimation sample, generally provide the most informative inference about the state in which the data generating process lies at a particular time. Overall, similar to Balcilar et al (2017), Islas‐Camargo et al (2018), Rabta et al (2016), and Spagnolo et al (2005), the Markov chain that drives changes in regime is highly persistent, so if the system is in either of the two regimes, it is likely to remain in that regime. However, given daily data estimations, Figures 6 and 7 show that both regimes shift back and forth very often.…”
Section: Empirical Analysis and Interpretation Of Resultssupporting
confidence: 71%
“…Smoothed probabilities, which are calculated recursively based on the estimation sample, generally provide the most informative inference about the state in which the data generating process lies at a particular time. Overall, similar to Balcilar et al (2017), Islas‐Camargo et al (2018), Rabta et al (2016), and Spagnolo et al (2005), the Markov chain that drives changes in regime is highly persistent, so if the system is in either of the two regimes, it is likely to remain in that regime. However, given daily data estimations, Figures 6 and 7 show that both regimes shift back and forth very often.…”
Section: Empirical Analysis and Interpretation Of Resultssupporting
confidence: 71%
“…The model specification in monthly data based on the Bayes factor criteria, coincides with Islas-Camargo et al (2017) supporting a MS specification over the linear autoregressive model, who studied the efficiency in the forward exchange rate. However, in high frequency exchange rate (Peso/Dollar) data, the MS specification suggests three states instead of two.…”
Section: Figure 2 Smoothed Probabilities and Exchange Growth Ratessupporting
confidence: 58%
“…The present paper is very close to Ibarra Salazar et al (2017) and Islas-Camargo et al (2017). In the first, determinants of the nominal exchange rate by structural models 205 suggested by the financial theory were studied.…”
Section: Introductionmentioning
confidence: 67%