All functions

NelPlo

Nelson–Plosser Macroeconomic Time Series

USeconomic

U.S. Economic Variables

adf.test()

Augmented Dickey–Fuller Test

coef(<arma>) vcov(<arma>) residuals(<arma>) fitted(<arma>) print(<arma>) plot(<arma>)

Methods for Fitted ARMA Models

arma()

Fit ARMA Models to Time Series

bds.test()

BDS Test

bev

Beveridge Wheat Price Index, 1500–1869.

camp

Mount Campito Yearly Treering Data, -3435–1969.

predict(<garch>) coef(<garch>) vcov(<garch>) residuals(<garch>) fitted(<garch>) print(<garch>) plot(<garch>) logLik(<garch>)

Methods for Fitted GARCH Models

garch() garch.control()

Fit GARCH Models to Time Series

get.hist.quote()

Download Historical Finance Data

ice.river

Icelandic River Data

daysecond() approx.irts() is.businessday() is.weekend() read.irts() weekday() write.irts()

Basic Functions for Irregular Time-Series Objects

lines(<irts>) plot(<irts>) points(<irts>) print(<irts>) time(<irts>) value(<irts>) `[`(<irts>)

Methods for Irregular Time-Series Objects

irts() as.irts() is.irts()

Irregularly Spaced Time-Series

jarque.bera.test()

Jarque–Bera Test

kpss.test()

KPSS Test for Stationarity

maxdrawdown()

Maximum Drawdown or Maximum Loss

na.remove()

NA Handling Routines for Time Series

nino

Sea Surface Temperature (SST) Nino 3 and Nino 3.4 Indices

plotOHLC()

Plot Open-High-Low-Close Bar Chart

po.test()

Phillips–Ouliaris Cointegration Test

portfolio.optim(<default>)

Portfolio Optimization

pp.test()

Phillips–Perron Unit Root Test

quadmap()

Quadratic Map (Logistic Equation)

read.matrix()

Read Matrix Data

read.ts()

Read Time Series Data

runs.test()

Runs Test

seqplot.ts()

Plot Two Time Series

sharpe()

Sharpe Ratio

sterling()

Sterling Ratio

summary(<arma>) print(<summary.arma>)

Summarizing ARMA Model Fits

summary(<garch>) print(<summary.garch>)

Summarizing GARCH Model Fits

surrogate()

Generate Surrogate Data and Statistics

tcm

Monthly Yields on Treasury Securities

tcmd

Daily Yields on Treasury Securities

terasvirta.test(<ts>) terasvirta.test(<default>)

Teraesvirta Neural Network Test for Nonlinearity

tsbootstrap()

Bootstrap for General Stationary Data

white.test(<ts>) white.test(<default>)

White Neural Network Test for Nonlinearity