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George Bonne
Executive Director, MSCI Research
About the Contributor
George Bonne is an Executive Director in the Equity Core Research team, which develops new factors for MSCI’s analytics and index products. Previously, George was Director of Quantitative Research at Thomson Reuters StarMine, where he created alpha signals and quantitative. He has also worked at Applied Materials and KLA-Tencor. George received his Ph.D. in Physical Chemistry from Harvard University and a Bachelor of Science degree in Chemistry from University of California, Irvine. George is a certified Professional Risk Manager.
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Blog posts by George Bonne
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BLOG
Eyeing the Crowds from Multiple Perspectives
Jul 8, 2021 George Bonne , Jay Yao , Howard Zhang
Learn MoreWe observed historically notable crowding across factors, industries and stocks through the first half of 2021. Examining crowding from multiple perspectives and incorporating multiple data elements provides investors a more holistic view.
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Hedge funds held heavy, relatively illiquid short positions in crowded stocks before the January 2021 short squeeze. We created a risk factor that added explanatory power and may provide insights into potential short squeezes and other risks.
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How does one identify or quantify a bubble? We propose a framework for assessing the “bubbliness” of stocks and portfolios, rooted in the idea that bubbles are driven by the same forces, and share characteristics with crowded trades.
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Positive vaccine news on Nov. 9 caused big moves in industry and style factors. Those hit hardest this year jumped, while previous high performers slumped. Did this mark new factors leadership and a long-awaited rotation from momentum to value?
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Can we identify a COVID-19 factor and quantify companies’ exposure to it? We explored three ways to do so — from very simple to more complex methods.
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The coronavirus market impact spreads globally
Mar 5, 2020 Jun Wang , Jay Yao , George Bonne
Learn MoreFear of a coronavirus pandemic and ensuing economic impacts caused sharp drops in global markets after an initially mild response. We look at recent performance from a factor perspective and how quickly factor returns and volatility reverted in past crises.
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Technological advances have expanded the application of factors. What was the realm of quantitative investors has become more accessible, bringing greater transparency and potential insight into portfolio characteristics and performance drivers.
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The U.S. price momentum factor, which we highlighted for elevated crowding scores and vulnerability to negative performance at the end of June, suffered sizable drawdowns in the first seven trading days of September.
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BLOG
Where were the (factor) crowds this summer?
Aug 21, 2019 George Bonne , Leon Roisenberg
Learn MoreWhen factors have historically become crowded, they’ve often experienced significant drawdowns in subsequent months. Which factors were relatively crowded at the end of 2018 — and how did they perform in the first half of 2019?
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More than a feeling: Quantifying consumer sentiment
Jul 17, 2019 George Bonne , Rohit Mendiratta
Learn MoreAmong a flood of alternative data sources, consumer sentiment based on citations online stood out.
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BLOG
Should we be surprised by earnings surprises?
Feb 1, 2019 Rohit Mendiratta , George Bonne
Learn MoreEarly 2019 earnings season has already contained a number of high-profile surprises, such as Facebooks's, but how predictable are these surprises, and what happens when earnings surprises return to trend?
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Equity markets in October – Has the tide turned?
Nov 5, 2018 Leon Roisenberg , George Bonne
Learn MoreOctober’s market sell-off reflected investors’ concerns with the sustainability of economic growth, the longer-term impact of trade tariffs and rising interest rates. In all, it seemed to be a shift away from pro-cyclical themes. Do risks remain for those areas of the market?
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Is momentum a crowded trade that is starting to unwind?
Aug 29, 2018 George Bonne , Leon Roisenberg
Learn MoreThe momentum factor has been on a tear the last year and a half. Is momentum a crowded trade that has started to unwind?
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Elon Musk, founder and CEO of Tesla, suggested in a series of tweets that going private could help Tesla avoid the scrutiny of quarterly reporting and pressure from short selling. Do companies targeted by short sellers share common characteristics? Could factor analysis help investors identify stocks that may become short-selling targets?
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FAANG stocks (Facebook, Apple, Amazon, Netflix and Google) make up nearly 40% of the NASDAQ 100 index, and smaller but significant weights in many others. Commonly grouped as tech stocks or growth companies, it seems reasonable to assume they share many similar characteristics. However, when examined through the lens of performance-driving factors, their characteristics are far from homogeneous.
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Investors need a clear and consistent way to talk about factors. For more than 40 years, MSCI has defined how investors use factors to analyze risk and return, from individual stocks to entire portfolios. Factors are important drivers of portfolio performance and are well documented in academic research. They are used to quantify how much risk and return is attributable to different countries, sectors and styles.
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Although global uncertainties remain high, the CBOE VIX Index — also known as the “fear index,” recently reached its lowest level since 1993. Some observers have questioned whether VIX remains a reliable indicator.