Our Approach
Our focus is using a quantitative and systematic investment approach. We rely on data to continuously monitor the performance characteristics of the multiple asset models that make up our portfolios. There is no attempt to predict market trends, risks, or returns. Instead, we use our quantitative models for a data-driven process to remove human error in managing and monitoring risk.
The Quoin Investment Quotient (IQ)
Risk Assessment
Risk Analytics
Return Analysis
Stock Universe
A trading universe provides a set of characteristics for an algorithm to search for securities based on predetermined criteria.
Algorithms
Securities Selection
Models
Portfolio Construction
Risk Management
ALGORITHMS
The proprietary algorithms are defined by their strategic focus on Fundamental and Technical characteristics. Each algorithm represents a different investment objective that has been stress tested to verify its alpha-generating ability throughout historical scenarios to prove that the idea is worth pursuing. Several of these factors, or ideas, are combined to construct our individual models. Based on a clients’ risk and return objectives, a unique portfolio is designed from the models using our Risk Analytics Dashboard.
Our algorithms not only contain buy rules, but also contain sell rules which is part of our risk management process. Through back testing we have refined this mathematical process of when sell decisions should be made.
SECURITIES SELECTION
Algorithms screen and rank stocks from their stock universe based on different criteria. Securities are then selected for each factor and held as long as they fit the pre-defined rules for that factor.
MODELS
We use a diversification of ideas (algorithms) to capture market opportunities and maximize return potential, rather than using broad diversification to reduce risk.
PORTFOLIO CONSTRUCTION
Building high-conviction portfolios, by constructing portfolios based on risk factors instead of asset classes, we can potentially build more efficient portfolios that require less risk to achieve competitive returns. This also helps minimize overexposure to a particular risk factor within a portfolio. Using our proprietary stock selection model and portfolio constructed algorithms we aim to achieve lower absolute risk than the market with a similar or higher return.
RISK MANAGEMENT
Our proprietary Corrections and Crashes Blueprint is an additional overlay that provides emergency sell rules, manual sell overrides, and hedging rules. These have been stress tested during times of high volatility and market downturns to create an added layer of risk management to decrease human error in protecting capital.
Volatility-based risk management: Selective exposure to volatility can provide an effective hedge to the rest of the portfolio through uncorrelated diversification. This strategy opportunistically invests in VIX-linked exchange-traded products based on changing volatility environments.