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Stock Market Data for Banks in the 2023 Financial Crisis
Stock & Market Data
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About
Share prices for banks impacted by the 2023 banking crisis are contained in this dataset. It includes data for notable institutions such as Silicon Valley Bank, Signature Bank, Credit Suisse, and Deutsche Bank. This collection is significant for analysing the financial performance and volatility of these banks leading up to and during the crisis period, offering valuable insights for financial analysis and risk assessment.
Columns
- Date: The specific date of the stock market data, ranging from 3rd January 2017 to 6th April 2023.
- Open: The price at which a stock first traded upon the opening of an exchange on a given day.
- High: The highest price at which a stock traded during the course of a trading day.
- Low: The lowest price at which a stock traded during the course of a trading day.
- Close: The price of a stock at the end of the trading day.
- Adj Close: The closing price after adjustments for all applicable splits and dividend distributions.
- Volume: The number of shares traded on a given day.
Distribution
The data is provided in CSV format. The sample file, CS.csv, contains 1,589 records and 7 columns. The dataset is complete, with no missing or mismatched values reported in the provided sample.
Usage
This dataset is ideal for financial market analysis, academic research into banking crises, and developing predictive models for stock price movements. It can be used to track the impact of economic events on bank stocks and for historical volatility analysis.
Coverage
The dataset provides time-series data covering the period from 3rd January 2017 to 26th April 2023. It specifically focuses on the stock prices of banks that were victims of the 2023 banking crisis, including institutions based in the United States and Europe.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To perform technical analysis and evaluate the performance of bank stocks during a period of crisis.
- Data Scientists: To build and test machine learning models for stock market prediction and risk assessment.
- Academic Researchers: For studying the causes and effects of the 2023 banking crisis.
- Investors: To analyse historical data to inform investment strategies concerning the banking sector.
Dataset Name Suggestions
- 2023 Banking Crisis: Collapsed Banks' Stock Prices 2017-2023
- Stock Market Data for Banks in the 2023 Financial Crisis
- Historical Stock Prices: SVB, Signature, Credit Suisse, Deutsche Bank
- 2017-2023 Share Price Analysis of Crisis-Hit Banks
Attributes
Original Data Source: Stock Market Data for Banks in the 2023 Financial Crisis
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