| crude_oil_wti.its | R Documentation |
Daily high and low prices of WTI (West Texas Intermediate) crude oil futures from January 2, 2003 to December 30, 2011 (2261 trading days). This dataset matches the period used by Yang, Han, Hong and Wang (2016) for analyzing crisis impacts on crude oil prices using interval time series modelling.
data(crude_oil_wti.its)
A data frame with 2261 observations and 3 variables:
date: Trading date (Date class).
low: Daily low price (USD per barrel).
high: Daily high price (USD per barrel).
WTI crude oil is a benchmark for oil prices in the Americas. This dataset covers a period that includes the 2003 Iraq War, the 2007–2008 oil price spike (reaching nearly USD 150/barrel), the 2008 global financial crisis, and the subsequent recovery. The wide variation in price levels and volatility regimes makes this dataset ideal for evaluating interval time series models under structural breaks.
| Sample size (n) | 2261 |
| Variables (p) | 3 (date, low, high) |
| Subject area | Finance / Commodities |
| Symbolic format | Interval time series |
| Analytical tasks | Forecasting, Structural break analysis |
Yahoo Finance, ticker CL=F. Downloaded via the
quantmod package.
Yang, W., Han, A., Hong, Y. and Wang, S. (2016). Analysis of crisis impact on crude oil prices: A new approach with interval time series modelling. Quantitative Finance, 16(12), 1917–1928.
data(crude_oil_wti.its)
head(crude_oil_wti.its)
plot(crude_oil_wti.its$date, crude_oil_wti.its$high, type = "l",
col = "red", ylab = "Price (USD/barrel)", xlab = "Date",
main = "WTI Crude Oil Daily High/Low (2003-2011)")
lines(crude_oil_wti.its$date, crude_oil_wti.its$low, col = "blue")
legend("topleft", c("High", "Low"), col = c("red", "blue"), lty = 1)
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