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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