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Financial data vendor

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From ticker tape to television cameras, from databases to websites this multibillion-dollar industry provides data utilized in the financial sector. Paper ticker tape became obsolete in the 1960s, as television and computers were increasingly used to transmit financial information. The concept of
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vendors offer non-traditional datasets, typically defined as those that do not originate from securities exchanges, regulatory disclosures, or economic release indicators. These are used by quantitative and fundamental investors to enhance portfolio returns. Examples include consumer transaction
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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. Analysis of historical market data provides a larger snapshot of the market at the expense of timely information (time inbetween
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data, satellite imagery, vehicle movements, and web data, including social media data. With an estimated three out of four financial institutions housing alt-data teams as of 2020, and 90% of firms expanding their alt-data strategy, alternative data is now arguably mainstream.
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According to the 2009 Burton-Taylor report, the Market Data industry exited 2009 at US$ 22.68 billion after closing 2008 at US$ 23.01 billion. In 2009, Thomson Reuters and Bloomberg market share were virtually even, at 29.4% and 29.2% respectively.
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Local experience - Larger data vendors have sales and service offices and data centers worldwide in major financial centers in the US, Europe and Asia. This allows their customers to access local expertise without having to have a local
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Delivery method - Data is delivered either in a streaming format, or as snapshot files of streamed data, or as "end of day" files showing the position at the close of business of a certain market or region
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Delivery latency - vendors offer different amounts of data latency, with lower latency typically being more expensive and more complex. An individual vendor may offer different products with different
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Normalization and Data Model - Vendors collect from sources all around the world and then translates all of those formats into a single format (by vendor or by product) for consumption by either a
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Because the financial investment needed to provide the services needed, the industry had become ever more consolidated, but in 2004 it was forecast that the industry was beginning to fragment.
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Value Added Services - Data value can be improved by adding on related services such as listing information, share data, fundamental data, time series, historical data, etc.
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Financial data vendors have been in existence as long as financial data has been available. The first technology that allowed data vendors to disseminate was the
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There are many different types of instruments (including stocks, bonds, funds, options, futures, currencies, etc.) and hundreds of different
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As of 2008, the largest four financial data vendors capture the $ 15.222 billion in annual revenues and employ tens of thousands of people.
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Ekster, Gene; Kolm, Petter N. (20 October 2020). "Alternative Data in Investment Management: Usage, Challenges and Valuation".
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Delivery format - Data can be encoded heavily to optimize performance, or can be left in simple formats to simplify databasing
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The types of data offered vary by vendor, and most typically cover information about entities (companies) and instruments (
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Delivery transportation - Data can be delivered via Broadcast, Multicast, Satellite, Private Line, VPN, or Internet
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etc.) which companies might issue. Typically, pricing data is sold separately from other related data, such as
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Most of the market differentiation between competitors is based on some combination of the following:
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starting in the 1870s. Financial data includes "pre-trade" such as bid-ask data necessary to price a
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The following are some notable financial data vendors that distribute data from multiple exchanges:
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to financial firms, traders, and investors. The data distributed is collected from sources such as
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This article is about financial data vendor in finance. For the concept related to economics, see
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or by the end user. Each vendor typically has a different way of modelling financial data.
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Delivery frequency - Data can be updated in real-time, delayed, conflated, or end of day.
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Reliability - High availability of data is a primary concern in the financial markets
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Intraday data is any data that is released within the same day or trading session.
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for investment, leading to an extremely large and hard to define universe of data.
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seen on brokerage walls and on news and financial television channels.
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The Handbook of World Stock, Derivative and Commodity Exchanges
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The Handbook of World Stock, Derivative and Commodity Exchanges
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and post-trade data such as the last trade price and other
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Index

Supplier risk management
market data
stock exchange
brokers
SEC filing
ticker tape
financial instrument
transaction data
scrolling electronic tickers
markets
shares
bonds
corporate actions and events
valuation information
fundamental data
reference data
market price data
market reference data
Alternative data (finance)
financial data processor
Bloomberg
Factset
Fidessa
ICE Data Services
Markit
Morningstar
Refinitiv
SIX Financial Information
World Vest Base (WVB)
Bloomberg Terminal

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