pa (version 1.2-4)

regressionMulti-class: Class "regressionMulti"

Description

Class "regressionMulti" holds the results of an original portfolio, its benchmark, and the results of regression analysis of a multi-period portfolio.

Slots

date.var:

Object of class "character" storing the date(s) in the class object.

ret.var:

Object of class "character" storing the name of the return variable.

reg.var:

Object of class "character" storing the name of the regressors.

benchmark.weight:

Object of class "character" storing the name of the benchmark weight variable.

portfolio.weight:

Object of class "character" storing the name of the portfolio weight variable in the universe dataframe.

coefficients:

Object of class "matrix" storing the estimated coefficients of the regression model for each time period.

benchmark.ret:

Object of class "matrix" storing the benchmark return of the input portfolio for each time period.

portfolio.ret:

Object of class "matrix" storing the portfolio return of the input portfolio for each time period.

act.ret:

Object of class "matrix" storing the active return of the input portfolio for each time period.

act.expo:

Object of class "matrix" storing the active exposure according to the regressors for each time period.

contrib:

Object of class "matrix" storing the contribution of the regressors according to the input for each time period.

universe:

Object of class "list" storing the entire input data frame.

Methods

exposure

signature(object = "regressionMulti"): Calculate and display the exposure of the input category of a portfolio.

plot

signature(x = "regressionMulti", y = "missing"): Plot the exposure or the return of a regressionMulti class object.

returns

signature(object = "regressionMulti"): Calculate the contribution of various effects based on the regression analysis.

show

signature(object = "regressionMulti"): Summarize the essential information about the portfolio.

summary

signature(object = "regressionMulti"): Summarize the portfolio and the regression-based attribution.

Author

Yang Lu

Examples

## Multi-period regression analysis

data(quarter)

r2 <-regress(x = quarter, date.var = "date", ret.var = "return", reg.var = c("sector",
"value", "growth"), benchmark.weight = "benchmark", portfolio.weight =
"portfolio")

summary(r2)