Our Process – RAAMPS – Risk Averse Actively Managed Portfolios

Nearly 20 years ago, RAAMPS was developed for family offices, foundations and endowments; whose Ultra-High Net Worth clients are risk and volatility averse. The initial goal was to create market-like returns with less volatility by actively managing the risk of holding a particular stock during a correction within the portfolio. We assembled a team of PhDs in Mathematics, Computer Science and Quantitative Physics to develop a program that would provide buy and sell signals to meet these objections. Initially, we set out to capture 90% of the upside and 65% of the downside. Historically, these ratios would have given us market-like returns with much less volatility. However, we found that by optimizing a combination of fundamental, qualitative and quantitative variables, we were able to do much better on both ends of the spectrum. Historically, on a monthly basis, we have captured well over 100% of the upside while limiting our losses to less than 50% during monthly corrections; these figures vary please check the latest performance summary report for the most recent capture ratios.

To do this RAAMPS set up to limit or ideally, completely eliminate as many variables as possible. We optimized the program by running back-testing from 1996 through 2006 and found that by removing variables we were able to provide most consistent predictable returns. Screening can also skew the results. To eliminate “picking great historical stocks” we created our teams based strictly on size; thereby eliminating another variable. We decided to base our quant program on term sentiment or momentum as stocks tend to continue in a certain direction, either up or down, for a considerable amount of time. Past performance shows that while we achieved the goal of reducing losses during corrections we actually have not had to forgo significant gains during market runs. We were focused on producing the highest alpha possible by maximizing the spread between upside and downside capture ratios. We are a diversified long-only tactical portfolio that may hold a significant position in cash during market corrections. We believe we can actively manage our portfolios not only to achieve solid returns but also to mitigate risk. Currently, our Hidden Levers scores have a delta in the high 30s and low 40s.

Disclosures

RAAMPS, LLC is not licensed. We are not Broker Dealers, Registered Investment Advisors, financial analysts, investment brokers or financial advisors. The Information on The Site is provided for information purposes only. The Information is not intended to be and does not constitute financial advice or any other advice. The Company is not responsible for any investment decision made by you. Investors should always evaluate their client to determine the suitability of any investment. We have provided this information regarding your account(s) based on sources we believe to be accurate.

This material (or any portion thereof) may not be copied or distributed without RAAMPS’ prior written approval. Statements are current as of the date of the material only. The information provided on this site should not be considered a recommendation to purchase or sell a particular security. You should not assume that investment decisions the program makes in the future will be profitable or will equal the investment performance of the past.

Performance results for one year and less are not annualized. The performance shown is for the stated period only; due to market volatility, each account’s performance may be different. Returns are shown gross of management fees, trading costs, and other direct expenses, and before custody charges, withholding taxes, and other indirect expenses. The returns do NOT include any dividends and other income.

Past results are not necessarily indicative of future performance and are no guarantee that losses will not occur in the future. Future returns are not guaranteed, and a loss of principal may occur. The standard deviations, information ratios and allocation targets may be higher or lower at any time. There is no guarantee that these measurements will be achieved.

Results based on simulated or hypothetical performance have certain inherent limitations. Unlike the results shown in an actual performance records, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.