Research Methodology

Quantitative research is the heartbeat of Helios.  For many Advisors, this is a new conversation and way of thinking about investing.


Partnership with S&P Dow Jones

Helios is the largest client of S&P Dow Jones custom index services.  In early 2017 we partnered with them to create a transparent reporting process you can trust.  All data related to Helios’ performance, returns and risk are independently calculated and reported by S&P Dow Jones.

 

 Compound Focused

Each model we design is built around the principle of efficient compounding – the most powerful force in investing.  To achieve this, our algorithms must simultaneously seek risk mitigation of downside losses without sacrificing the growth potential of equity markets.  In other words, we see risk management as a two-sided problem.  Most asset managers only manage the risk of portfolios losses, leading to a lower compound effect over time.

In order to maximize compound efficiency, we have developed complex quantitative approaches that are designed to work in concert with each other.  We call this the Helios Ecosystem.  

 


 

The Helios Ecosystem

In the investment world, there is no such thing as “perfection.”  Every model - no matter how advanced - has its weak spots.  To mitigate this reality, we train our Advisors to utilize their models as an ecosystem.

The infographic to the right illustrates how the models are blended together into a single 'ecosystem.'   It is our objective to equip Advisors with a variety of options to enhance the quality of an individual's portfolio, and also to help them engage in value-oriented discussions with their clients.  With Helios, Advisors answer the what and how questions, and the 'why' questions too.

Because each series shown below is different mathematically, building a portfolio that includes multiple models can dramatically increase durability and reduce the risk of poor outcomes because each model has different vulnerabilities.  This concept is a powerful tool utilized by institutional asset managers now available to you.    

 


Dynamic Risk Series (Dynamic Risk indices)

These models are the workhorse of the Helios ecosystem.  They appear and act like a diversified strategy most retail investors are comfortable with.  However, the algorithm seeks to enhance the compound effect through a complex risk-targeting algorithm that allows the equity allocation to float within a pre-defined range (risk tolerance).

  • Dynamic Risk 65/35
  • Dynamic Risk 50/50
  • Dynamic Risk 35/65
  • Dynamic Risk 20/80

 

Helios Growth Series (Helios indices)

This binary, econocentric algorithm is designed to provide multiple ways of approaching growth.  By aggregating a deep set of economic and market data, an “environment” is formed that can have highly accurate statistical relationships with both long and short run market performance.  The goal is to maximize the compound effect through this on/off approach – while staying strategically invested.

  • Helios Growth Opportunity
  • Helios Growth Alpha
  • Helios Growth Equity
  • Helios Growth Diversified
  • Helios Growth Balanced

 

Systematic Series (Researched indices)

This series is unique because it is made up of multiple algorithms, each designed to solve a specific problem facing retail Financial Advisors.

Researched Fixed Income (RFI) and Researched Strategic Income (RSI) models

These strategies are designed to deliver bond only/heavy allocations by tactically using specific types of risks, such as duration and credit.  This is accomplished through an algorithmic mapping of regime changes in risk cycles and applied to the potential holding set.  The goal is to provide more attractive total return than the Barclays Aggregate Bond Index for similar levels of risk.

  • Systematic Fixed Income (RFI)
  • Systematic Strategic Income (RSI)

 

Systematic Balanced Income Model

This unique, targeted 50/50 strategy is designed to tactically deliver a level of income equal to the 10-year Treasury rate +2%.  Through a specifically designed root-square solving algorithm, the model seeks to accomplish the target yield taking the least amount of expected risk to maintain a moderate allocation.

  • Systematic Balanced Income (RBI)

 

Sustainability

We consider our models among the most sustainable available for multiple reasons:

  1. All Helios indices utilize traded ETFs and returns are shown net of expenses
  2. Utilizing the Helios Ecosystem, we provide a way to reduce the reliance on a single strategy to succeed – which increases durability and sustainability
  3. Returns are not based on a heavy concentration in a low number of securities (idiosyncratic risk), specific high-risk bets, basic moving average strategies or simple stop-loss triggers
  4. No derivatives or levered products are utilized in the indices