![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>)
Profilo
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.
Precedenti posizioni note di Chris Cesare
| Società | Posizione | Fine |
|---|---|---|
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. | Fondatore | 01/04/2019 |
Formazione di Chris Cesare
Esperienze
Posizioni ricoperte
Attive
Inattive
Società nel listino
Aziende private
Relazioni
13
Relazioni di 1° grado
3
Aziende connesse in 1º grado
Uomo
Donna
Amministratori
Dirigenti
Società collegate
| Aziende private | 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 |
