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Profil
Dr. Chris M.
Strong is a Director of Research & Senior Portfolio Manager at Liberty Funds Group, Inc. He has been with Liberty Funds Group since June 2004.
He was previously employed at Anchor Asset Management LLC, Brandywine Asset Management, Inc., Bloomberg LP, and Capital Fund Management, Inc.
Dr. Strong received his BS, magna cum laude, in Atmospheric Sciences from the University of Michigan and MS and PhD in Atmospheric Sciences from the University of California, Los Angeles.
Anciens postes connus de Chris M. Strong
| Sociétés | Poste | Fin |
|---|---|---|
Liberty Funds Group, Inc.
 Liberty Funds Group, Inc. Investment ManagersFinance Liberty Funds Group focuses on the managed futures and commodities industry. Their Liberty Wealth Protection strategy is designed to protect the purchasing power of the US dollar. The strategy represents the firm's best ideas and cumulative experience and, like other managed futures vehicles, does not correlate to the performance of stock and bond markets. The strategy seeks to deliver outsized returns during periods of economic duress. In managing the strategy, Liberty Funds Group uses proprietary computerized multi-time scale mathematical models which trade on timeframes from a few hours to a year. These models trade a basket of futures and options markets and generate alpha from multiple, non-correlated sources such as trends, short-term mean reversion and expansion and option time decay. The trend following or directional component of the strategy is robust and adaptive. It allows for market behavior to establish time scales most suitable for capturing material price moves in a particular market. The directional component has a slight bias towards trades that would participate in rising commodity prices, rising interest rates and a weakening US dollar. The short term component considers tick data across multiple time frames from 4 days to 50 days to locate trading opportunities. The model looks for set ups that would tend to signal a break out from an area of price congestion. It also searches for an opportunity to profit from a trending market as it shows signs of reverting to a mean. The option component is built around two concepts: (1) trend following signals are false more often than they are true and (2) the time value of an option declines rapidly as it approaches expiration. Combining these concepts together with a futures based option defense strategy creates a unique stand-alone trading strategy. | Directeur de Recherche - Fxd Inc | - |
Formation de Chris M. Strong
Expériences
Fonctions occupées
Actives
Inactives
Sociétés cotées
Entreprise privées
Relations
99
Relations au 1er degré
3
Entreprises liées au 1er degré
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Femme
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Sociétés liées
| Entreprise privées | 3 |
|---|---|
Liberty Funds Group, Inc.
Liberty Funds Group, Inc. Investment ManagersFinance Liberty Funds Group focuses on the managed futures and commodities industry. Their Liberty Wealth Protection strategy is designed to protect the purchasing power of the US dollar. The strategy represents the firm's best ideas and cumulative experience and, like other managed futures vehicles, does not correlate to the performance of stock and bond markets. The strategy seeks to deliver outsized returns during periods of economic duress. In managing the strategy, Liberty Funds Group uses proprietary computerized multi-time scale mathematical models which trade on timeframes from a few hours to a year. These models trade a basket of futures and options markets and generate alpha from multiple, non-correlated sources such as trends, short-term mean reversion and expansion and option time decay. The trend following or directional component of the strategy is robust and adaptive. It allows for market behavior to establish time scales most suitable for capturing material price moves in a particular market. The directional component has a slight bias towards trades that would participate in rising commodity prices, rising interest rates and a weakening US dollar. The short term component considers tick data across multiple time frames from 4 days to 50 days to locate trading opportunities. The model looks for set ups that would tend to signal a break out from an area of price congestion. It also searches for an opportunity to profit from a trending market as it shows signs of reverting to a mean. The option component is built around two concepts: (1) trend following signals are false more often than they are true and (2) the time value of an option declines rapidly as it approaches expiration. Combining these concepts together with a futures based option defense strategy creates a unique stand-alone trading strategy. | Finance |
University of California, Los Angeles
 University of California, Los Angeles Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
University of Michigan
 University of Michigan Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
