![Robin Pellish](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
Robin Sherry Pellish is the founder of Rocaton Investment Advisors LLC, holding the title of Chief Executive Officer since 2002.
Education includes an MBA from The University of Chicago and an undergraduate degree from Union College (New York).
Precedenti posizioni note di Robin Pellish
| 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. | Amministratore Delegato | - |
Formazione di Robin Pellish
Esperienze
Posizioni ricoperte
Attive
Inattive
Società nel listino
Aziende private
Relazioni
19
Relazioni di 1° grado
3
Aziende connesse in 1º grado
Uomo
Donna
Amministratori
Dirigenti
Società collegate
| Aziende private | 3 |
|---|---|
The University of Chicago
 The University of Chicago Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
Union College (New York)
 Union College (New York) 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 |
