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Market Data
FactSet全面的市场数据为您提供跨资产类别和地域的覆盖.

Connect global data and turn insight into action

Comprehensive coverage of equity and fixed-income benchmarks, within our applications or your own in-house systems, provides the breadth of content and scale to meet your needs.

With quality data you can depend on, 从800多个数据库收集和整合数据30年的经验, 加上正规外围买球app全球主题专家和技术专家团队无与伦比的客户服务, FactSet market data keeps you connected to the global exchanges.

Access benchmark data, economic intelligence, 市场整合数据可以帮助你分析关系以及风险模型, real-time exchange, and pricing data that help you monitor and manage risk.

connect global data and turn insight into action

    Benchmarks

    Benchmarks

    从性能测量和客户报告中访问基准测试信息.

    FactSet's benchmark solution aggregates content, streamlines implementation, 并为一系列全球股票和固定收益基准提供最高质量的数据.

    A normalized format across vendors, 结合一致的符号和正规外围买球app的全球支持团队24小时可用, 7 days a week, 365 days a year—ensures a truly cost-effective, 外包数据管理解决方案,使您可以专注于业务.

    • Index-level and constituent data for thousands of indices.
    • Flexible output formats. 轻松下载核心基准数据跨多个提供商在一个标准化, efficient format that supports the customization you require.
    • Outsourced data management. 利用FactSet全面、高质量的数据收集、整合和管理基准测试内容.

    Benchmark vendors available on FactSet:

    • 23家股票基准供应商,包括富时罗素、摩根士丹利资本国际、纳斯达克、S- network、S&P Dow Jones, STOXX, and Wilshire.
    • 29 fixed-income benchmark vendors, including Bloomberg Barclays Indices, FTSE Russell, ICE BofA Merrill Lynch Bond Indices, IHS Markit, NASDAQ, and S&P/LSTA Leverage Loan Series.
    • 50 local exchange vendors, including Euronext Stock Exchange, Hong Kong Stock Exchange, Nikkei Stock Exchange, NASDAQ Stock Exchange, NYSE Stock Exchange, Switzerland Stock Exchange, and Toronto Stock Exchange.
    • 涵盖各种资产类型的多个可供选择的资产基准供应商,包括:
      • CDS – IHS Markit
      • Commodity – Bloomberg, S&P GSCI
      • Crypto Currencies – MV Index Solutions
      • Hedge Funds – Hedge Fund Research & Credit Suisse
      • Private Equity - LPX Group
      • Real Estate – Global Property Research & KGAST
    solutions-for-benchmark-data-brochure

    Economics

    Economics

    利用FactSet的全面全球经济数据分析和监控经济、行业和公司.

    Access 1.900万经济系列,经济数据随时可用,深入的公司和市场统计数据使合理化, centralized analysis and economic intelligence.

    • 集中分析整合的公司、基准和经济数据.
    • 节省时间与国家报告和国家概要概述报告.
    • Analyze aggregate data for more than 45 countries and 20 regions.
    • 从11个不同的专有和外部数据库检索统计数据和历史数据,包括FactSet aggregate, Economist Intelligence Unit, ICAP, and Markit.
    • Retrieve historical economic data from as early as 1900.
    market data economics

    Market Aggregates

    Market Aggregates

    使用FactSet Market aggregate值为超过100个数据项创建定制的行业或市场篮子.

    结合数据集,计算特定比率和每股价值的合计水平,并对整个投资组合进行相关分析,透明度低至安全级别的数据.

    • 将一家公司的预期市盈率与一篮子定制的竞争对手进行比较.
    • Audit all underlying calculations down to security-level data, including pricing, fundamentals, and estimates.
    • 追踪单个公司相对于其行业的企业价值与EBITDA的比率.
    • 查看全球任何市场的估值指标,了解时间趋势.
    market data market aggregates

    Real-Time Exchange Data & Prices

    Real-Time Exchange Data & Prices

    访问来自200多个全球交易所的统计数据的多个资产类别的安全参考数据.

    Get real-time data and market intelligence for equities, derivatives, fixed income, mutual funds, commodities, currencies, and short interest.

    • 查看已发布交易的报价、实际价格和条件代码(交易类型).
    • Access end-of-day prices.
    • 请参阅交易所和经纪商层面的订单、价格和交易前成交量数据.
    • 跟踪公司活动数据,包括事件、发行、回购等.

    使用FactSet Global Prices查看30年来固定收益产品的历史价格, derivative instruments, equities, mutual funds, 短线交易,更新周期从实时到半月不等.

    Leverage our other solutions to ease the administrative burden of regulatory requirements.

    market data real-time exchange data and prices

    Risk Models

    Risk Models

    利用FactSet选择的风险模型来监控风险并推动投资组合的表现.

    推动风险预测、风险分析、基于风险的绩效归因和情景分析. 正规外围买球app的风险模型为您提供了灵活的选择,通过多角度的风险分析您的投资组合. 正规外围买球app是唯一的风险解决方案,集成并交付包括Axioma在内的领先提供商的股权风险模型, Barra, and Northfield.

    FactSet的多资产类别风险模型为股票提供了全球资产覆盖范围, fixed income, currency, 并为商品市场提供了投资组合中风险分布的透明视图, factor, and asset level.

    • FactSet Monte Carlo Multi-Asset Class Risk Model 让您使用覆盖全球股票的基于模拟的风险模型得出投资组合的绝对风险或基准相对风险, fixed income, commodity, currency, alternative, and derivative markets. 模拟数千个相关市场情景中的所有因素回报, 然后在每个模拟场景中对每种资产重新定价,以产生投资组合输出的收益分布,并从中导出各种风险统计数据, such as Value-at-Risk, Expected Tail Loss, and Tracking Error. 准确捕捉表现出可选性或非线性偿付的证券的风险.
    • FactSet Linear Multi-Asset Class Risk Model 允许风险分解与投资组合经理用于投资组合构建和优化的变量精确一致,并基于覆盖全球股票的一组因素模型, fixed income, commodity, currency, and derivative markets. 线性风险模型允许计算各种风险统计数据, such as Tracking Error Volatility (TEV), Value-at-Risk (VaR), and Expected Tail Loss (ETL). 它结合了时间序列和基本模型,并结合了特定于每一资产类别的相关因素.
    • Cognity Fat-Tail Risk Model 是基于深入的科学研究和知识产权. It incorporates dynamic probability of extreme events, tail dependence and asymmetry, and improves VaR backtesting results on risk factor, asset, 和投资组合水平,并进一步验证投资组合风险预测.
    market data risk models

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