Seeks to provide current income while maintaining prospects for capital appreciation
Aims to generate income through a combination of selling options and investing in U.S. large cap growth stocks, seeking to deliver a monthly income stream from associated option premiums and stock dividends1.
Seeks to deliver a significant portion of the returns associated with the Nasdaq 100 Index with less volatility2.
Constructs a long equity portfolio through a proprietary data science driven investment approach seeking to drive portfolio allocations while maximising risk-adjusted expected returns.
1 The fund seeks to meet its stated objectives, there is no guarantee they will be met.
2 Risk management does not imply elimination of risks. Provided to illustrate the investment process. Dividend or returns are not guaranteed. Please refer to offering documents for details on distribution policy. Diversification does not guarantee positive returns or eliminate risks of loss.
The investment objective of the Fund is to seek current income while maintaining prospects for capital appreciation.
This Fund is likely to be appropriate for an investor seeking capital growth and regular income, to be used as a satellite/small allocation within a portfolio where the investor has a high risk-return profile and is seeking daily access to capital.
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15 years with J.P. Morgan / 37 years in the Industry
Hamilton Reiner, Managing Director, is a portfolio manager and head of U.S. Equity Derivatives at J.P. Morgan Asset Management. He has been managing U.S. equities and U.S. equity derivatives since 1987, at firms such as Barclays Capital, Lehman Brothers, and Deutsche Bank. He started his career at the options investing firm O'Connor and Associates, where he developed his passion for derivatives investing. Hamilton obtained a B.S.E. in Finance from the Wharton School of the University of Pennsylvania.
9 years with J.P. Morgan / 9 years in the Industry
Eric Moreau, executive director, is a data scientist on the Equity Data Science team. An employee since 2014, Eric focuses on alternative data and machine learning research. Eric previously worked on data initiatives as a member of the U.S. Structured Equity Quant Research and Core Research teams. Eric obtained a B.A. in Statistical Science and a B.A. in Economics from Cornell University.
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