Perfil
James Rhodes es Director de Tecnología de Morningstar, Inc. El Sr. Rhodes ocupó anteriormente el cargo de Director de Tecnología de Rocaton Investment Advisors LLC. Se licenció en el Muhlenberg College y se graduó en la Universidad Carnegie Mellon.
Cargos activos de James Rhodes
| Empresas | Cargo | Inicio |
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Antiguos cargos conocidos de James Rhodes.
| Empresas | Cargo | Fin |
|---|---|---|
| MORNINGSTAR, INC. | Director Técnico/Científico/I+D | - |
Rocaton Investment Advisors LLC
Rocaton Investment Advisors LLC Investment ManagersFinance Rocaton develops its asset allocation recommendations through the use of proprietary risk, return and correlation assumptions to assess the expected risk and expected return of different asset mixes over a variety of market environments. Specifically, the firm often utilizes a Monte Carlo portfolio optimization process to forecast risk and return inputs over different scenarios. Recommended allocations are generally based on forecasted risk and forecasted return characteristics, including expected volatility and correlation of returns, liquidity and transaction costs, as well as on client objectives. | Director Técnico/Científico/I+D | 01/09/2016 |
Formación de James Rhodes.
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Empresas relacionadas
| Empresas privadas | 4 |
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Carnegie Mellon University
Carnegie Mellon University Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
Morningstar, Inc.
Morningstar, Inc. Financial Publishing/ServicesCommercial Services Operates as a investment insights company that provides investment and wealth management & credit rating services | Commercial Services |
Muhlenberg College
Muhlenberg College Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
Rocaton Investment Advisors LLC
Rocaton Investment Advisors LLC Investment ManagersFinance Rocaton develops its asset allocation recommendations through the use of proprietary risk, return and correlation assumptions to assess the expected risk and expected return of different asset mixes over a variety of market environments. Specifically, the firm often utilizes a Monte Carlo portfolio optimization process to forecast risk and return inputs over different scenarios. Recommended allocations are generally based on forecasted risk and forecasted return characteristics, including expected volatility and correlation of returns, liquidity and transaction costs, as well as on client objectives. | Finance |
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