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starvars (version 1.1.11)

Realized: Monthly time series used to test VLSTAR models.

Description

This data set contains the series of realized covariances in 4 stock market indices, i.e. SP-500, Nikkei, DAX, and FTSE, Dividend Yield and Earning Price growth rate, inflation growth rates for U.S., U.K., Japan and Germany, from August 1990 to June 2018.

Usage

data(Realized)

Arguments

Format

A zoo data frame with 334 monthly observations, ranging from 1990:M8 until 2018:M6.

SPMonthly realized variances of S&P 500 index.
SP-NIKKEIMonthly realized covariances between S&P 500 and Nikkei.
SP-FTSEMonthly realized covariances between S&P 500 and FTSE.
SP-DAXMonthly realized covariances between S&P 500 and DAX.
NIKKEIMonthly realized variances of Nikkei index.
NIKKEI-FTSEMonthly realized covariances between Nikkei and FTSE.
NIKKEI-DAXMonthly realized covariances between Nikkei and DAX.
FTSEMonthly realized variances of FTSE index.
FTSE-DAXMonthly realized covariances between FTSE and DAX.
DAXMonthly realized variances of DAX index.
DPMonthly Dividends growth rate over the past year relative to current market prices; S&P 500 index.
EPMonthly Earnings growth rate over the past year relative to current market prices; S&P500 index.
Inf_USUS monthly Industrial Production growth.
Inf_UKUK monthly Industrial Production growth.
Inf_JPNJapan monthly Industrial Production growth.
Inf_GERGermany monthly Industrial Production growth.

Author

Andrea Bucci

See Also

rcov to build realized covariances from stock prices or returns.