paramPersist {ttrTests} | R Documentation |
Divides the given data set into subperiods and computes the relative performance of several different parameterizations of the TTR in each subperiod. These are checked for correlation using standard linear regression.
paramPersist(x, ttr = "macd4", start = 0, nSteps = 0, stepSize = 0, burn = 0, short = FALSE, silent = TRUE, TC = 0.001, loud = TRUE, plot = TRUE, alpha = 0.05, periods = 0, file = "", latex = "")
x |
A univariate series |
ttr |
The TTR to be used. Can be a character string for built-in TTRs, or a user defined function whose output is a position series s(t). See 'defaults' for a list of built-in TTRs. |
start |
Initial values for parameters |
nSteps |
How many parameter choices to use for each parameter |
stepSize |
The difference between successive choices of a parameter. |
burn |
When computing the position function s(t), values for t < burn will be forced to 0, i.e. no position held during the 'burn' period |
short |
Logical. If false the position function s(t) will be forced to 0 when it would otherwise be -1, i.e. no short selling |
silent |
Logical. If TRUE, supresses output from subroutines |
TC |
Percentage used to compute returns adjusted for trading costs. |
loud |
Logical. If FALSE, supresses output from the main function(s) |
plot |
Logical. If FALSE, supresses plot of regression data |
alpha |
Confidence level for 2-sided hypothesis testing |
periods |
How many periods to split up the original data. If default, the number of periods is decided based on the length of the data. |
file |
The full writable path string for a file to which output will be appended. Ideal for reviewing results. |
latex |
Full path name for a writable file. The laTeX code that generates a figure with a summary of the output will be appended to file. |
See the help file for 'paramStats' for important information about using "start,nSteps,stepSize" to define a domain of parameters
Output is a list of outputs from the subroutine "paramStats". Each
list item contains, when read as a matrix, the results from each choice
of parameters in their respective subsets, one choice per row.
Last item in output list is the regression resulst, and object of type 'glm'
EXTREMELY IMPORTANT NOTE: The functions in this package evaluate past performance only. No warranty is made that the results of these tests should, or even can, be used to inform business decisions or make predictions of future events.
The author does not make any claim that any results will predict future performance. No such prediction is made, directly or implied, by the outputs of these function, and any attempt to use these function for such prediction is done solely at the risk of the end user.
David St John
This test was invented by the author to the best of his knowledge.
spData <- as.vector(getYahooData("SPY",start="20060101",end="20081231")[,"Close"]) pp <- paramPersist(spData) summary(pp[[length(pp)]])