library(gtsummary)
library(dplyr)
##Major European Stock Indices, 1991–1998
head(EuStockMarkets)
Time Series:
Start = c(1991, 130)
End = c(1991, 135)
Frequency = 260
DAX SMI CAC FTSE
1991.496 1628.75 1678.1 1772.8 2443.6
1991.500 1613.63 1688.5 1750.5 2460.2
1991.504 1606.51 1678.6 1718.0 2448.2
1991.508 1621.04 1684.1 1708.1 2470.4
1991.512 1618.16 1686.6 1723.1 2484.7
1991.515 1610.61 1671.6 1714.3 2466.8
DAX: German Stock Index SMI: Swiss Market Index CAC: French CAC 40 Index FTSE: UK FTSE 100 Index
str(EuStockMarkets)
Time-Series [1:1860, 1:4] from 1991 to 1999: 1629 1614 1607 1621 1618 ...
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:4] "DAX" "SMI" "CAC" "FTSE"
summary(EuStockMarkets)
DAX SMI CAC FTSE
Min. :1402 Min. :1587 Min. :1611 Min. :2281
1st Qu.:1744 1st Qu.:2166 1st Qu.:1875 1st Qu.:2843
Median :2141 Median :2796 Median :1992 Median :3247
Mean :2531 Mean :3376 Mean :2228 Mean :3566
3rd Qu.:2722 3rd Qu.:3812 3rd Qu.:2274 3rd Qu.:3994
Max. :6186 Max. :8412 Max. :4388 Max. :6179
plot(EuStockMarkets)
Interpretation:
A multivariate time series object (Time-Series [1:1860, 1:4]) with:
1860 observations
4 stock indices: DAX (Germany), SMI (Switzerland), CAC (France), FTSE (UK)
Time span: 1991–1999
So, this is daily or near-daily stock market data for those indices across ~9 years.
Summary statistics
For each index, R gives descriptive stats:
Index Min 1st Qu. Median Mean 3rd Qu. Max DAX 1402 1744 2141 2531 2722 6186 SMI 1587 2166 2796 3376 3812 8412 CAC 1611 1875 1992 2228 2274 4388 FTSE 2281 2843 3247 3566 3994 6179 Interpretation
Growth over time
All indices show large upward trends between their minimums (early 1990s) and maximums (late 1990s).
Example: DAX rose from ~1400 to ~6186 → more than 4x increase.
SMI shows the steepest growth (min ~1587 → max ~8412, over 5x increase).
Central tendency vs volatility
The mean > median in all cases, meaning the distributions are right-skewed (driven up by later higher values).
Example: FTSE mean ~3566, but median ~3247.
Comparative performance
By absolute value, FTSE had the highest average level (~3566), followed by SMI (~3376), DAX (~2531), CAC (~2228).
By growth rate, SMI and DAX outpaced CAC and FTSE.
Market implications
The 1990s were a strong bull market period, especially leading into the dot-com bubble.
The rapid increases and wide ranges reflect the speculative boom in European equity markets during that time.
✅ In short: This output tells you that from 1991–1999, the European stock indices (DAX, SMI, CAC, FTSE) all rose significantly, with SMI and DAX showing the strongest growth. The data are skewed upward because of the late-1990s stock boom.