![Chris Cesare](data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="%231b1b1b" class="bi bi-person-fill" viewBox="0 0 16 16"><path d="M3 14s-1 0-1-1 1-4 6-4 6 3 6 4-1 1-1 1zm5-6a3 3 0 1 0 0-6 3 3 0 0 0 0 6"/></svg>)
Profil
Christopher Cesare is the founder.
He founded Rocaton Investment Advisors LLC in 2002 and held the title of Principal from 2002 to 2019.
Mr. Cesare has an MBA from Emory University and an undergraduate degree from the University of Connecticut.
Tidigare kända positioner av Chris Cesare
| Företag | Position | Slut |
|---|---|---|
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. | Grundare | 2019-04-01 |
Chris Cesares utbildningar
Erfarenheter
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Börsnoterade företag
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Relationer
13
Första gradens relationer
3
Företag kopplade till första graden
Man
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Kopplade företag
| Privata företag | 3 |
|---|---|
Emory University
 Emory University Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
University of Connecticut
 University of Connecticut 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 |
