Description Usage Arguments Details References See Also Examples
Tools for exchange rate regime classification, currently under development.
1 |
model |
an object of class |
peg |
character with the name of the currency the target currency is pegged to. By default this is chosen to be the currency with the maximal absolute coefficient. |
... |
arguments passed to |
These tools should help to automate exchange rate regime classification.
The first building block is the function fxpegtest, a simple convenience
interface to linearHypothesis. It assess the null hypothesis
that only the peg currency has coefficient 1 and all other
currencies have coefficient 0.
Shah A., Zeileis A., Patnaik I. (2005), What is the New Chinese Currency Regime?, Report 23, Department of Statistics and Mathematics, Wirtschaftsuniversitaet Wien, Research Report Series, November 2005. http://epub.wu.ac.at.
Zeileis A., Shah A., Patnaik I. (2010), Testing, Monitoring, and Dating Structural Changes in Exchange Rate Regimes, Computational Statistics and Data Analysis, 54(6), 1696–1706. http://dx.doi.org/10.1016/j.csda.2009.12.005.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## load package and data
library("fxregime")
data("FXRatesCHF", package = "fxregime")
## compute returns for CNY (and explanatory currencies)
## after abolishing fixed USD regime until end of 2005
cny <- fxreturns("CNY", frequency = "daily",
start = as.Date("2005-07-25"), end = as.Date("2005-12-31"),
other = c("USD", "JPY", "EUR", "GBP"))
## estimate full-sample exchange rate regression model
fm <- fxlm(CNY ~ USD + JPY + EUR + GBP, data = cny)
## check for plain USD peg:
fxpegtest(fm)
## no deviation from a plain USD peg
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