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Market data allows traders and investors to know the latest price and see historical trends for instruments such as equities, fixed-income products, derivatives, and currencies. [1] The market data for a particular instrument would include the identifier of the instrument and where it was traded such as the ticker symbol and exchange code plus ...
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The majority of financial data vendors can access data during trading sessions but with the requirement that any inquiry be in reference to historical market analysis. [10] Analysis of historical market data provides a larger snapshot of the market at the expense of timely information (time inbetween database updates).
Historical simulation in finance's value at risk (VaR) analysis is a procedure for predicting the value at risk by 'simulating' or constructing the cumulative distribution function (CDF) of assets returns over time assuming that future returns will be directly sampled from past returns.
Total shareholder return (TSR) (or simply total return) is a measure of the performance of different companies' stocks and shares over time. It combines share price appreciation and dividends paid to show the total return to the shareholder expressed as an annualized percentage.
In 1863 Edward A. Calahan of the American Telegraph Company invented a stock telegraph printing instrument which allowed data on stocks, bonds, and commodities to be sent directly from exchanges to broker offices around the country. It printed the data on 0.75 inches (1.9 cm) wide paper tape wound on large reels.
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High frequency data employs the collection of a large sum of data over a time series, and as such the frequency of single data collection tends to be spaced out in irregular patterns over time. This is especially clear in financial market analysis, where transactions may occur in sequence, or after a prolonged period of inactivity. [7]