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DB Stock Market Daily Time Series Data
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About
This is a collection of daily time series data detailing the equity performance of Deutsche Bank across key international exchanges, specifically New York (NYQ), Germany, and France. It provides fundamental financial indicators from 2010 up to the present day, enabling detailed analysis of the bank's stock valuation, volatility, and trading volume over more than a decade.
Columns
The dataset contains seven distinct columns detailing the daily trading metrics:
- Date: The calendar date associated with the trading day.
- Open: The price at which the stock opened trading on the specified date.
- High: The highest trading price reached during the day.
- Low: The lowest trading price reached during the day.
- Close: The final trading price at the close of the market for that day.
- Adj Close: The closing price adjusted for corporate actions (e.g., dividends or stock splits).
- Volume: The total number of shares traded during the day.
Distribution
The data is organised into three separate datasets based on location and currency: DB.csv (New York, USD), DBk.DE (Germany, EUR), and DBK.F.csv (France, EUR). The sample file, DB.csv, is approximately 196.45 kB in size. Each file contains 7 columns and details approximately 3288 valid records, with no missing values observed in the sample data. Data files are typically provided in CSV format.
Usage
This financial data is ideally suited for:
- Time Series Analysis: Predicting future stock prices and volatility based on historical trends.
- Financial Modelling: Developing algorithms for arbitrage or portfolio risk assessment.
- Banking Research: Studying the impact of macroeconomic events or policy changes on global banking sector equity.
- Data Analytics: Generating visualisations and reports on historical stock performance.
Coverage
The data covers the Deutsche Bank equity listings in three major geographic regions: New York, Germany, and France. The time frame spans from 2010 to the present, offering a significant historical depth. Currencies are tailored to the market: USD for the New York listing and EUR for the German and French listings.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To track and model the market performance of Deutsche Bank.
- Data Scientists: For training and testing predictive market models.
- Quantitative Researchers: To investigate correlations between national markets and banking stability.
- Students: For academic projects focused on finance and macroeconomics.
Dataset Name Suggestions
- Deutsche Bank Global Equity Prices (2010–Present)
- DB Stock Market Daily Time Series Data
- European and US Banking Equity Performance
Attributes
Original Data Source: DB Stock Market Daily Time Series Data
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