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S&P DJI combines global reach with local expertise, working with exchanges around the world to build indices for both the local and international investment communities.
For over 20 years, our renowned SPIVA research has measured actively managed funds against their index benchmarks worldwide.
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S&P DJI combines global reach with local expertise, working with exchanges around the world to build indices for both the local and international investment communities.
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S&P DJI combines global reach with local expertise, working with exchanges around the world to build indices for both the local and international investment communities.
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For over 20 years, our renowned SPIVA research has measured actively managed funds against their index benchmarks worldwide.
Register to attend complimentary webinars and deepen your knowledge of current trends and issues impacting the index universe today.
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For over 20 years, our renowned SPIVA research has measured actively managed funds against their index benchmarks worldwide.
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S&P DJI has an extensive history of delivering robust and transparent benchmarks to the financial industry and always endeavors to deliver high quality indices in conformity with our core values and in compliance with all applicable laws and regulations as well as industry standards and guidelines. S&P Global's Code of Business Ethics coupled with S&P DJI policies and procedures set the standard for an effective governance program.
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The S&P 500® RavenPack AI Sentiment Balanced Index measures exposure to the S&P 500 RavenPack AI Sentiment Index, applying a rotation between U.S. equities and fixed income, complemented by a daily risk control mechanism that seeks to maintain a target volatility of 5%. The index has a LIBOR to SOFR transition of July 3, 2023, on the underlying equity component and 0.5% decrement factor. On March 27, 2024, S&P DJI started calculating and administering the index as a successor to the Credit Suisse RavenPack AI Sentiment Balanced, which launched on Oct. 6, 2017. The index does not measure performance of AI companies.
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