Description Usage Arguments Value References Examples
View source: R/estim_nss_zeroyields.R
The method performs an iterative term structure estimation procedure on a dynamic yield data set of the class "zeroyields". Available methods are Nelson/Siegel,  Diebold/Li and (adjusted) Svensson. 
1 2 3 4 5  | 
dataset | 
 dynamic bond data set of the class   | 
method | 
 
  | 
lambda | 
 parameter on a yearly time scale with fixed value for   | 
tauconstr | 
 This is vector with parameters for the grid search procedure containing: For parametrizations except Diebold/Li, a grid search for the tau-parameter is performed. The parameters must lie within the following bounds. lower bound < [tau_1, tau_2] < upper bound The width of the grid is given by gridsize. tau_2 - tau_1 > taudistance (upper bound, lower bound, gridsize, tau distance)  | 
optimtype | 
 use   | 
constrOptimOptions | 
 list with solver control parameters
(default: control=list(), outer.interations=30,
outer.eps.=1e-04). For further documentation please refer to
  | 
... | 
 further arguments  | 
The method returns an object of the class
"dyntermstrc_yields". There are print, plot and summary method available. 
Michiel De Pooter (2007): Examining the Nelson-Siegel Class of Term Structure Models: In-Sample Fit versus Out-of-Sample Forecasting Performance, Working paper.
F.X. Diebold and C. Li: Forecasting the Term Structure of Government Bond Yields. Journal of Econometrics, 130:337–364.
Charles R. Nelson and Andrew F. Siegel (1987): Parsimonious Modeling of Yield Curves. The Journal of Business, 60(4):473–489.
Lars E.O. Svensson (1994): Estimating and Interpreting Forward Interest Rates: Sweden 1992 -1994. Technical Reports 4871, National Bureau of Economic Research.
1  | ## Run: demo(zeroyields)
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