![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>)
Profil
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.
Anciens postes connus de Roger L. Fenningdorf
| Sociétés | Poste | Fin |
|---|---|---|
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. | Fondateur | 01/04/2019 |
Formation de Roger L. Fenningdorf
Expériences
Fonctions occupées
Actives
Inactives
Sociétés cotées
Entreprise privées
Relations
13
Relations au 1er degré
3
Entreprises liées au 1er degré
Homme
Femme
Administrateurs
Exécutifs
Sociétés liées
| Entreprise privées | 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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