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Brazilian IBOV Historical Stock Data
Finance & Banking Analytics
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About
Data provides daily historical quotes for the Bovespa Index (IBOV), the largest Brazilian stock market index. This collection spans nearly three decades, from 1992 through 2019, documenting key market activity. The material offers valuable insight into the performance of the Brazilian market, particularly relevant given the country's traditionally low rate of stock ownership compared to highly conservative saving methods. The data includes standard daily pricing metrics alongside temporal features such as the day of the week and month.
Columns
The data includes 8 features, all of which are 100% valid across 6,887 records:
- date: The specific date of the quote, recorded in dd/mm/yy format. This field contains 6,887 unique values.
- day_of_week: The day of the week as a string. Wednesday and Tuesday are the most frequently recorded days, each accounting for 20% of the records. There are 5 unique values.
- month: The month of the year as a string. August and July are the most common months recorded, each representing 9% of the data. There are 12 unique values.
- year: The year as an integer, ranging from 1992 (Min) to 2019 (Max). The mean year value is approximately 2005.
- open: The opening price in points. Values range from 1,157 up to 110k points, with a mean of 35.5k points.
- close: The closing price in points. Values range from 1,157 up to 110k points, with a mean of 35.5k points.
- high: The highest price achieved during the trading day, recorded in points. Values range from 1,194 up to 110k points, with a mean of 35.9k points.
- low: The lowest price recorded during the trading day, measured in points. Values range from 1,115 up to 108k points, with a mean of 35.1k points.
Distribution
The material is stored in a single CSV file named
ibov_data.csv, which is 423.22 kB in size. The dataset consists of 6,887 records across 8 columns. Data quality is exceptionally high, as all fields exhibit 100% validity with zero missing or mismatched entries. The expected update frequency is Never.Usage
This resource is ideally suited for time series analysis and modelling the historical behaviour of the IBOV index. Users can calculate the average annual return, investigate market performance trends based on the specific month or day of the week, and explore long-term market volatility. It supports advanced quantitative analysis in finance and economics.
Coverage
The geographic scope covers the largest Brazilian stock index, IBOV (Bovespa Index). The temporal scope is extensive, spanning 28 years of daily quotes, from 1992 up to 2019. The content focuses exclusively on standard daily stock pricing metrics and associated calendar data.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for financial analysts, quantitative researchers, data scientists, and academics interested in emerging market economics, stock market behaviour, and long-term investment trends. The material has a maximum usability rating of 10.00.
Dataset Name Suggestions
- Brazilian IBOV Historical Stock Data
- Bovespa Index Daily Quotes 1992-2019
- Brazil Stock Market Performance Metrics
Attributes
Original Data Source:Brazilian IBOV Historical Stock Data
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