![Roger L. Fenningdorf](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>)
Profiel
Roger L.
Fenningdorf is the founder of Rocaton Investment Advisors LLC, which was founded in 2002.
He held the title of Principal from 2002 to 2019.
Fenningdorf has an MBA from Yale University and an undergraduate degree from Tufts University.
Eerdere bekende functies van Roger L. Fenningdorf
| Bedrijven | Functie | Einde |
|---|---|---|
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. | Oprichter | 01-04-2019 |
Opleiding van Roger L. Fenningdorf
Ervaring
Beklede functies
Actief
Inactief
Beursgenoteerde bedrijven
Bedrijven in privébezit
Connecties
13
Eerstegraads connecties
3
Bedrijven verbonden in de eerste graad
Man
Vrouw
Besturend
Uitvoerend
Verwante bedrijven
| Bedrijven in privébezit | 3 |
|---|---|
Yale University
 Yale University Other Consumer ServicesConsumer Services Functions as a College/University | Consumer Services |
Tufts University
 Tufts University 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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