| ibovespa.its | R Documentation |
Daily high and low values of the Brazilian IBOVESPA stock market index from January 3, 2000 to December 28, 2012 (3216 trading days). This dataset matches the period used by Maciel, Ballini and Gomide (2016) for evolving granular analytics for interval time series forecasting.
data(ibovespa.its)
A data frame with 3216 observations and 3 variables:
date: Trading date (Date class).
low: Daily low value of the IBOVESPA index.
high: Daily high value of the IBOVESPA index.
The IBOVESPA (Indice Bovespa) is the benchmark index of the Brazilian stock exchange (B3, formerly BM&FBOVESPA). It tracks the performance of the most actively traded stocks on the Sao Paulo stock exchange. The 13-year span of this dataset covers multiple market regimes including the 2008 global financial crisis, making it suitable for evaluating forecasting models under diverse conditions.
| Sample size (n) | 3216 |
| Variables (p) | 3 (date, low, high) |
| Subject area | Finance |
| Symbolic format | Interval time series |
| Analytical tasks | Forecasting, Time series analysis |
Yahoo Finance, ticker ^BVSP. Downloaded via the
quantmod package.
Maciel, L., Ballini, R. and Gomide, F. (2016). Evolving granular analytics for interval time series forecasting. Granular Computing, 1(4), 213–224.
data(ibovespa.its)
head(ibovespa.its)
plot(ibovespa.its$date, ibovespa.its$high, type = "l", col = "red",
ylab = "Index Value", xlab = "Date",
main = "IBOVESPA Daily High/Low (2000-2012)")
lines(ibovespa.its$date, ibovespa.its$low, col = "blue")
legend("topleft", c("High", "Low"), col = c("red", "blue"), lty = 1)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.