![Chris Hammond](https://cdn.zonebourse.com/static/resize/768/576//static/images/insiders/unknown.png)
Chris Hammond
Onderzoeksdirecteur - Fxd Inc bij Quantitative Services Group LLC
Momenteel actieve connecties
Naam | Geslacht | Leeftijd | Verwante bedrijven | Samenwerking |
---|---|---|---|---|
Tim Sargent | M | - |
Quantitative Services Group LLC
![]() Quantitative Services Group LLC Investment ManagersFinance Founded in 2001, Quantitative Services Group LLC (QSG) is a research firm located in Naperville, Illinois. The firm is a subsidiary of Markit Group Holdings Ltd. They seek to leverage the latest technology, construction techniques and specialty data to provide institutional investors a variety of global stock selection models focused on outperformance. QSG's Value Momentum Model provides a balanced approach to stock selection within the U.S. market. This model favors stocks with strong earnings quality, good valuation, strong balance sheets, positive momentum, and good earnings growth. The Value Momentum Model's approach is best for investors seeking broad exposure to a variety of proven stock selection methods and a core approach portfolio construction. The model is applied across all market-caps, investment styles and asset classes. The firm's Relative Value Model includes themes of price multiples, profitability, earnings expectations, intrinsic value and financial strength. This model is designed to avoid value traps, augment sector-relative and industry-relative viewpoints and provide a consistent source of value. QSG's Price Momentum Model provides a powerful, consistent 1- to 3-month investment signal. This model leverages put and call options and trading volume information to reduce the inherent risk-seeking nature of momentum-based strategies. The firm's GARP Model identifies growth stocks with strong value characteristics. The model consists of a proprietary combination of long-term earnings growth and relative value signals. It employs first-order partial correlation to create a blend of sustainable earnings growth and current cheapness. This model is best for strategies targeting stocks that demonstrate high long-term growth potential and the sustainability to realize that potential. QSG's Deep Value Model is a proven approach to selecting undervalued stocks across the broad US market. The Deep Value Model is designed to select future out performers over the next 9 to 12 months. The firm's Deep Value Model uses free-cash-flow, dividend yield and asset turnover to identify stocks that are currently trading at a deep discount to their intrinsic value. The Deep Value model provides discriminatory power for both long-only and long-short strategies and compliments more short term-oriented momentum and growth strategies. QSG's Earnings Momentum Model uses a proprietary search algorithm to combine analyst forecasts with the company's past earnings strength, along with several indicators of future earnings potential. The Earnings Momentum model has consistently outperformed in both pre- and post- Regulation FD environments. Utilizing a unique k-clustering factor selection technique, QSG's Historical Growth Model selects stocks with an above-average track-record of earnings growth, strong sales growth and high sustainable growth. This blended approach enables the model to identify traditional growth stocks, as well as value stocks on the verge of growth. | 23 jaar |
John Weil | M | 83 |
Washington University in St. Louis
| 20 jaar |
Siddhesh Barot | M | - |
Quantitative Services Group LLC
![]() Quantitative Services Group LLC Investment ManagersFinance Founded in 2001, Quantitative Services Group LLC (QSG) is a research firm located in Naperville, Illinois. The firm is a subsidiary of Markit Group Holdings Ltd. They seek to leverage the latest technology, construction techniques and specialty data to provide institutional investors a variety of global stock selection models focused on outperformance. QSG's Value Momentum Model provides a balanced approach to stock selection within the U.S. market. This model favors stocks with strong earnings quality, good valuation, strong balance sheets, positive momentum, and good earnings growth. The Value Momentum Model's approach is best for investors seeking broad exposure to a variety of proven stock selection methods and a core approach portfolio construction. The model is applied across all market-caps, investment styles and asset classes. The firm's Relative Value Model includes themes of price multiples, profitability, earnings expectations, intrinsic value and financial strength. This model is designed to avoid value traps, augment sector-relative and industry-relative viewpoints and provide a consistent source of value. QSG's Price Momentum Model provides a powerful, consistent 1- to 3-month investment signal. This model leverages put and call options and trading volume information to reduce the inherent risk-seeking nature of momentum-based strategies. The firm's GARP Model identifies growth stocks with strong value characteristics. The model consists of a proprietary combination of long-term earnings growth and relative value signals. It employs first-order partial correlation to create a blend of sustainable earnings growth and current cheapness. This model is best for strategies targeting stocks that demonstrate high long-term growth potential and the sustainability to realize that potential. QSG's Deep Value Model is a proven approach to selecting undervalued stocks across the broad US market. The Deep Value Model is designed to select future out performers over the next 9 to 12 months. The firm's Deep Value Model uses free-cash-flow, dividend yield and asset turnover to identify stocks that are currently trading at a deep discount to their intrinsic value. The Deep Value model provides discriminatory power for both long-only and long-short strategies and compliments more short term-oriented momentum and growth strategies. QSG's Earnings Momentum Model uses a proprietary search algorithm to combine analyst forecasts with the company's past earnings strength, along with several indicators of future earnings potential. The Earnings Momentum model has consistently outperformed in both pre- and post- Regulation FD environments. Utilizing a unique k-clustering factor selection technique, QSG's Historical Growth Model selects stocks with an above-average track-record of earnings growth, strong sales growth and high sustainable growth. This blended approach enables the model to identify traditional growth stocks, as well as value stocks on the verge of growth. | 17 jaar |
Relatiegrafiek
Connectie in verschillende bedrijven
Oude connecties
Naam | Geslacht | Leeftijd | Verwante bedrijven | Samenwerking |
---|---|---|---|---|
Dan J. Bukowski | M | - |
Quantitative Services Group LLC
![]() Quantitative Services Group LLC Investment ManagersFinance Founded in 2001, Quantitative Services Group LLC (QSG) is a research firm located in Naperville, Illinois. The firm is a subsidiary of Markit Group Holdings Ltd. They seek to leverage the latest technology, construction techniques and specialty data to provide institutional investors a variety of global stock selection models focused on outperformance. QSG's Value Momentum Model provides a balanced approach to stock selection within the U.S. market. This model favors stocks with strong earnings quality, good valuation, strong balance sheets, positive momentum, and good earnings growth. The Value Momentum Model's approach is best for investors seeking broad exposure to a variety of proven stock selection methods and a core approach portfolio construction. The model is applied across all market-caps, investment styles and asset classes. The firm's Relative Value Model includes themes of price multiples, profitability, earnings expectations, intrinsic value and financial strength. This model is designed to avoid value traps, augment sector-relative and industry-relative viewpoints and provide a consistent source of value. QSG's Price Momentum Model provides a powerful, consistent 1- to 3-month investment signal. This model leverages put and call options and trading volume information to reduce the inherent risk-seeking nature of momentum-based strategies. The firm's GARP Model identifies growth stocks with strong value characteristics. The model consists of a proprietary combination of long-term earnings growth and relative value signals. It employs first-order partial correlation to create a blend of sustainable earnings growth and current cheapness. This model is best for strategies targeting stocks that demonstrate high long-term growth potential and the sustainability to realize that potential. QSG's Deep Value Model is a proven approach to selecting undervalued stocks across the broad US market. The Deep Value Model is designed to select future out performers over the next 9 to 12 months. The firm's Deep Value Model uses free-cash-flow, dividend yield and asset turnover to identify stocks that are currently trading at a deep discount to their intrinsic value. The Deep Value model provides discriminatory power for both long-only and long-short strategies and compliments more short term-oriented momentum and growth strategies. QSG's Earnings Momentum Model uses a proprietary search algorithm to combine analyst forecasts with the company's past earnings strength, along with several indicators of future earnings potential. The Earnings Momentum model has consistently outperformed in both pre- and post- Regulation FD environments. Utilizing a unique k-clustering factor selection technique, QSG's Historical Growth Model selects stocks with an above-average track-record of earnings growth, strong sales growth and high sustainable growth. This blended approach enables the model to identify traditional growth stocks, as well as value stocks on the verge of growth. | 3 jaar |
Joshua Chan | M | - |
Washington University in St. Louis
| 4 jaar |
Louis Hsu | M | - |
Washington University in St. Louis
| 4 jaar |
Gregory Mayhew | M | - |
Washington University in St. Louis
| 2 jaar |
Alex Hagmeyer | M | - |
Quantitative Services Group LLC
![]() Quantitative Services Group LLC Investment ManagersFinance Founded in 2001, Quantitative Services Group LLC (QSG) is a research firm located in Naperville, Illinois. The firm is a subsidiary of Markit Group Holdings Ltd. They seek to leverage the latest technology, construction techniques and specialty data to provide institutional investors a variety of global stock selection models focused on outperformance. QSG's Value Momentum Model provides a balanced approach to stock selection within the U.S. market. This model favors stocks with strong earnings quality, good valuation, strong balance sheets, positive momentum, and good earnings growth. The Value Momentum Model's approach is best for investors seeking broad exposure to a variety of proven stock selection methods and a core approach portfolio construction. The model is applied across all market-caps, investment styles and asset classes. The firm's Relative Value Model includes themes of price multiples, profitability, earnings expectations, intrinsic value and financial strength. This model is designed to avoid value traps, augment sector-relative and industry-relative viewpoints and provide a consistent source of value. QSG's Price Momentum Model provides a powerful, consistent 1- to 3-month investment signal. This model leverages put and call options and trading volume information to reduce the inherent risk-seeking nature of momentum-based strategies. The firm's GARP Model identifies growth stocks with strong value characteristics. The model consists of a proprietary combination of long-term earnings growth and relative value signals. It employs first-order partial correlation to create a blend of sustainable earnings growth and current cheapness. This model is best for strategies targeting stocks that demonstrate high long-term growth potential and the sustainability to realize that potential. QSG's Deep Value Model is a proven approach to selecting undervalued stocks across the broad US market. The Deep Value Model is designed to select future out performers over the next 9 to 12 months. The firm's Deep Value Model uses free-cash-flow, dividend yield and asset turnover to identify stocks that are currently trading at a deep discount to their intrinsic value. The Deep Value model provides discriminatory power for both long-only and long-short strategies and compliments more short term-oriented momentum and growth strategies. QSG's Earnings Momentum Model uses a proprietary search algorithm to combine analyst forecasts with the company's past earnings strength, along with several indicators of future earnings potential. The Earnings Momentum model has consistently outperformed in both pre- and post- Regulation FD environments. Utilizing a unique k-clustering factor selection technique, QSG's Historical Growth Model selects stocks with an above-average track-record of earnings growth, strong sales growth and high sustainable growth. This blended approach enables the model to identify traditional growth stocks, as well as value stocks on the verge of growth. | 5 jaar |
Kimberly Walker | F | 65 |
Washington University in St. Louis
| 10 jaar |
Keryn Gold | M | - |
Washington University in St. Louis
| 9 jaar |
James Cuber | M | - |
Washington University in St. Louis
| 4 jaar |
Guan Dong Wang | M | 50 |
Washington University in St. Louis
| 3 jaar |
Nick Vom Brack | M | - |
Washington University in St. Louis
| 6 jaar |
James Cox | M | 81 |
Washington University in St. Louis
| 11 jaar |
Ron Watson | M | - |
Washington University in St. Louis
| 6 jaar |
Shing Chun Chung | M | 36 |
Washington University in St. Louis
| 4 jaar |
Arif Sorathia | M | - |
Washington University in St. Louis
| 4 jaar |
Crystal Winkeler | M | - |
Washington University in St. Louis
| 5 jaar |
Benjamin Blum | M | - |
Washington University in St. Louis
| 4 jaar |
Lana Alamat | F | - |
Washington University in St. Louis
| 3 jaar |
Corey Hawk | M | - |
Washington University in St. Louis
| 4 jaar |
Andrew Bergeron | M | - |
Washington University in St. Louis
| 4 jaar |
Derek A. Gluckman | M | - |
Washington University in St. Louis
| 4 jaar |
Brian Thomas | M | - |
Washington University in St. Louis
| 4 jaar |
Michael Frost | M | - |
Washington University in St. Louis
| 2 jaar |
Alex Tannenbaum | M | - |
Washington University in St. Louis
| 4 jaar |
John L. Lueken | M | - |
Washington University in St. Louis
| 4 jaar |
Gary Kliegman | M | - |
Washington University in St. Louis
| 4 jaar |
Sam Wen | M | 38 |
Washington University in St. Louis
| 4 jaar |
Sasi Vikram | M | - |
Washington University in St. Louis
| 4 jaar |
Benjamin Scruggs | M | - |
Washington University in St. Louis
| 6 jaar |
Chris Chism | M | - |
Washington University in St. Louis
| 4 jaar |
Kelly McEttrick | F | - |
Washington University in St. Louis
| 4 jaar |
Martin Fan | M | - |
Washington University in St. Louis
| 4 jaar |
Seth Greenberg | M | - |
Washington University in St. Louis
| 4 jaar |
Brian Collet | M | - |
Washington University in St. Louis
| 2 jaar |
Richard Yang | M | - |
Washington University in St. Louis
| 4 jaar |
Khalid bin Ahmed bin Othman Al-Hokail | M | 40 |
Washington University in St. Louis
| 1 jaar |
bryan li | M | - |
Washington University in St. Louis
| 2 jaar |
Ben Birnbaum | M | - |
Washington University in St. Louis
| 4 jaar |
Dave Bend | M | - |
Washington University in St. Louis
| 4 jaar |
Yi Lan | M | 54 |
Washington University in St. Louis
| 2 jaar |
Ted Thurmond | M | - |
Washington University in St. Louis
| 2 jaar |
Miraj Sanghvi | M | - |
Washington University in St. Louis
| 4 jaar |
Yang Xie | M | 54 |
Washington University in St. Louis
| 2 jaar |
Phillip Wool | M | - |
Washington University in St. Louis
| 4 jaar |
Liang Song | M | 42 |
Washington University in St. Louis
| 3 jaar |
Andrew Cyrus Oskoui | M | - |
Washington University in St. Louis
| 3 jaar |
Chia-Hung Hsu | M | 51 |
Washington University in St. Louis
| 2 jaar |
Jonah Glick | M | - |
Washington University in St. Louis
| 4 jaar |
Jarrod Michael Feinstein | M | - |
Washington University in St. Louis
| 3 jaar |
Darren Weiss | M | 40 |
Washington University in St. Louis
| 4 jaar |
Lawrence Jeremy Sadaka | M | - |
Washington University in St. Louis
| 4 jaar |
Larry Page | M | - |
Washington University in St. Louis
| 5 jaar |
Eric Nusbaum | M | - |
Washington University in St. Louis
| 4 jaar |
Justin A. Simon | M | - |
Washington University in St. Louis
| 2 jaar |
James McClurken | M | - |
Washington University in St. Louis
| 4 jaar |
Russell J. Kohn | M | - |
Washington University in St. Louis
| 4 jaar |
Jerome Lay | M | 35 |
Washington University in St. Louis
| 4 jaar |
David Karandish | M | - |
Washington University in St. Louis
| 4 jaar |
Jake Greenblatt | M | - |
Washington University in St. Louis
| 4 jaar |
Michael J. Ewens | M | - |
Washington University in St. Louis
| 5 jaar |
Akiva Y. Felt | M | - |
Washington University in St. Louis
| 4 jaar |
Tracey Jackson | F | - |
Washington University in St. Louis
| 4 jaar |
Phil Daniels | M | - |
Washington University in St. Louis
| 2 jaar |
Jody Shechtman | F | - |
Washington University in St. Louis
| 4 jaar |
Edward Mui | M | - |
Washington University in St. Louis
| 4 jaar |
James T. Dobson | M | - |
Washington University in St. Louis
| 4 jaar |
Carolyn J. Otten | M | - |
Washington University in St. Louis
| 4 jaar |
Mike McLarney | M | - |
Washington University in St. Louis
| 2 jaar |
Aaron D. Young | M | - |
Washington University in St. Louis
| 2 jaar |
Alex Fak | M | - |
Washington University in St. Louis
| 4 jaar |
David Aaron Sandell | M | - |
Washington University in St. Louis
| 4 jaar |
William A. Peck | M | 91 |
Washington University in St. Louis
| 10 jaar |
Mark Birk | M | 59 |
Washington University in St. Louis
| 2 jaar |
Ryan Hwang | M | - |
Washington University in St. Louis
| 4 jaar |
Michael W. Sher | M | - |
Washington University in St. Louis
| 4 jaar |
Maddy Rai | M | - |
Quantitative Services Group LLC
![]() Quantitative Services Group LLC Investment ManagersFinance Founded in 2001, Quantitative Services Group LLC (QSG) is a research firm located in Naperville, Illinois. The firm is a subsidiary of Markit Group Holdings Ltd. They seek to leverage the latest technology, construction techniques and specialty data to provide institutional investors a variety of global stock selection models focused on outperformance. QSG's Value Momentum Model provides a balanced approach to stock selection within the U.S. market. This model favors stocks with strong earnings quality, good valuation, strong balance sheets, positive momentum, and good earnings growth. The Value Momentum Model's approach is best for investors seeking broad exposure to a variety of proven stock selection methods and a core approach portfolio construction. The model is applied across all market-caps, investment styles and asset classes. The firm's Relative Value Model includes themes of price multiples, profitability, earnings expectations, intrinsic value and financial strength. This model is designed to avoid value traps, augment sector-relative and industry-relative viewpoints and provide a consistent source of value. QSG's Price Momentum Model provides a powerful, consistent 1- to 3-month investment signal. This model leverages put and call options and trading volume information to reduce the inherent risk-seeking nature of momentum-based strategies. The firm's GARP Model identifies growth stocks with strong value characteristics. The model consists of a proprietary combination of long-term earnings growth and relative value signals. It employs first-order partial correlation to create a blend of sustainable earnings growth and current cheapness. This model is best for strategies targeting stocks that demonstrate high long-term growth potential and the sustainability to realize that potential. QSG's Deep Value Model is a proven approach to selecting undervalued stocks across the broad US market. The Deep Value Model is designed to select future out performers over the next 9 to 12 months. The firm's Deep Value Model uses free-cash-flow, dividend yield and asset turnover to identify stocks that are currently trading at a deep discount to their intrinsic value. The Deep Value model provides discriminatory power for both long-only and long-short strategies and compliments more short term-oriented momentum and growth strategies. QSG's Earnings Momentum Model uses a proprietary search algorithm to combine analyst forecasts with the company's past earnings strength, along with several indicators of future earnings potential. The Earnings Momentum model has consistently outperformed in both pre- and post- Regulation FD environments. Utilizing a unique k-clustering factor selection technique, QSG's Historical Growth Model selects stocks with an above-average track-record of earnings growth, strong sales growth and high sustainable growth. This blended approach enables the model to identify traditional growth stocks, as well as value stocks on the verge of growth. | 7 jaar |
Hero Choudhary | M | - |
Washington University in St. Louis
| 2 jaar |
Eric Martin Hovey | M | - |
Washington University in St. Louis
| 4 jaar |
John Eddy Klein | M | 79 |
Washington University in St. Louis
| 3 jaar |
William Joyce | M | - |
Washington University in St. Louis
| 3 jaar |
Jason M. Oetting | M | - |
Washington University in St. Louis
| 4 jaar |
Alex Latushkin | M | - |
Washington University in St. Louis
| 4 jaar |
Saul Kopelowitz | M | - |
Washington University in St. Louis
| 4 jaar |
Reggie Binford | M | - |
Washington University in St. Louis
| 4 jaar |
Li Jiao Li | M | 50 |
Washington University in St. Louis
| 1 jaar |
Joseph Hodes | M | - |
Washington University in St. Louis
| 2 jaar |
Justin Barstein | M | - |
Washington University in St. Louis
| 4 jaar |
Dane Vrabac | M | - |
Washington University in St. Louis
| 4 jaar |
Wai Kwan Wong | M | 56 |
Washington University in St. Louis
| 2 jaar |
Nick Petri | M | - |
Washington University in St. Louis
| 3 jaar |
Scott B. Phillips | M | 58 |
Washington University in St. Louis
| 2 jaar |
Justin Daniel Galen | M | - |
Washington University in St. Louis
| 4 jaar |
Robert Palmer | M | - |
Washington University in St. Louis
| 2 jaar |
Jesse X. Zhai | M | - |
Washington University in St. Louis
| 3 jaar |
Matt Miller | M | - |
Washington University in St. Louis
| 3 jaar |
Evan Stampler | M | - |
Washington University in St. Louis
| 4 jaar |
Randall W. Chin | M | - |
Washington University in St. Louis
| 4 jaar |
Shyam Srinivas | M | - |
Washington University in St. Louis
| 2 jaar |
Statistieken
Land | Connecties | % van het totaal |
---|---|---|
Verenigde Staten | 100 | 100.00% |
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