An investment concentrated in sectors and industries may involve greater risk and volatility than a more diversified investment. There are risks associated with Small- and Mid-Cap investing such as less liquidity, limited product lines, and small market share.
1 Quantitative models and the analysis of specific metrics are used to construct the Fund’s portfolio. The impact of these metrics on a stock’s performance can be difficult to predict, and stocks that previously possessed certain desirable quantitative characteristics may not continue to demonstrate those same characteristics in the future. In addition, relying on quantitative models entails the risk that the models themselves may be limited or incorrect, that the data on which the models rely may be incorrect or incomplete, and that ICON Advisers may not be successful in selecting companies for investment or determining the weighting of particular stocks in the Fund’s portfolio. Any of these factors could cause the Fund to underperform funds with similar strategies that do not select stocks based on quantitative analysis
2 Investing in an ETF will provide the Fund with exposure to the securities comprising the index on which the ETF is based and will expose the Fund to risks similar to those of investing directly in those securities. The Fund will pay brokerage commissions in connection with the purchase and sale of shares of ETFs. Risks associated with investing in inverse and leveraged ETFs include compounding risk, derivative securities risk, correlation risk and leverage. Their performance over longer periods of time – over weeks or months or years – can differ significantly from the performance (or inverse of the performance) of their underlying index or benchmark during the same period of time. This effect can be magnified in volatile markets.
3 Risks associated with investing in inverse and leveraged ETFs include compounding risk, derivative securities risk, correlation risk and leverage. Most leveraged and inverse ETFs “reset” daily, meaning that they are designed to achieve their stated objectives on a daily basis. Their performance over longer periods of time – over weeks or months or years – can differ significantly from the performance (or inverse of the performance) of their underlying index or benchmark during the same period of time. This effect can be magnified in volatile markets.