Dasha Selivanova
Former Quantitative ESG Analyst, Index Investment Strategy, S&P Dow Jones Indices
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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.
Register to attend complimentary webinars and deepen your knowledge of current trends and issues impacting the index universe today.
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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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Former Quantitative ESG Analyst, Index Investment Strategy, S&P Dow Jones Indices

U.S. large-cap growth has been outperforming this quarter, thanks in part to unusually strong contributions from a few single-stock winners. With higher dispersion among performance, market participants might conclude that it’s a good time to pick stocks or appoint a fund manager to do it for them. However, while the rewards for picking winners may…

The S&P 500® Momentum Index has been one of the best-performing of all the S&P 500 Factor Indices in the past few years. A closer inspection of the drivers of performance identifies constituent selection as paramount, highlighting the importance of dynamically retreating from the largest of the mega caps in periods when smaller names took…

The ever-evolving artificial intelligence (AI) landscape has generated excitement, interest and investment; it has also triggered important questions regarding AI’s impact on businesses, on investment portfolios, on society and on the environment. When factoring in elements such as the high energy requirements of training large language models (LLMs), direct and indirect emissions and the diversity…