Profile
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.
Former positions of Roger L. Fenningdorf
| Companies | Position | End |
|---|---|---|
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. | Founder | 01/04/2019 |
Training of Roger L. Fenningdorf
Experiences
Positions held
Active
Inactive
Listed companies
Private companies
Connections
1st degree connections
1st degree companies
Male
Female
Members of the board
Executives
Linked companies
| Private companies | 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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