Fund Details

The i³ Investments^TM Team combines quantitative and fundamental analysis in managing investment portfolios. The quantitative component of the team’s investment process has evolved as new tools and datasets have become available and, over time, new quantitative models which incorporate aspects of artificial intelligence have been incorporated.  The i³ Investments^TM Team provides a modern approach to portfolio construction, combining the advantages of quantitative analysis, big data, and artificial intelligence with the experience, perspective, and decision-making of our investment team.  The application of quantitative investment analysis that incorporates artificial intelligence and machine learning in a forecast model is forward-looking and the simulated results are subject to inherent limitations. Investment strategies which rely on predictive artificial intelligence and quantitative models may perform differently than expected, as a result of, among other things, the factors used in the models, the weight placed on each factor, changes from the factors’ historical trends and the limitations of technology in the construction and implementation of the models. There is no guarantee that the use of the quantitative model and artificial intelligence will result in effective investment decisions. There are no guarantees that dividend paying stocks will continue to pay dividends. All investments are subject to risk, including loss. There is no assurance that any investment strategy will be successful.

¹ The Inception Date is the start date of investment performance and may not coincide with the date the fund or series was first offered for sale under a prospectus or its legal date of creation.

² Management Expense Ratio (“MER”) represents the trailing 12-month management expense ratio, which reflects the cost of running the fund, inclusive of applicable taxes including HST, GST and QST (excluding certain portfolio transaction costs) as a percentage of daily average net asset value the period, including the fund’s proportionate share of any underlying fund(s) expenses, if applicable. The MER is reported in each fund’s Management Report of Fund Performance (“MRFP”).

³ The Risk Classification of a fund has been determined in accordance with a standardized risk classification methodology in National Instrument 81-102, that is based on the fund’s historical volatility as measured by the 10-year standard deviation of the fund’s returns. Where a fund has offered securities to the public for less than 10 years, the standardized methodology requires that the standard deviation of a reference mutual fund or index that reasonably approximates the fund’s standard deviation be used to determine the fund’s risk rating. Please note that historical performance may not be indicative of future returns and a fund’s historical volatility may not be indicative of future volatility.

⁴ The indicated rates of return in the charts above are used only to illustrate the effects of the compound growth rate and are not intended to reflect the future value of the fund or returns on investment in the fund.

⁵ The Growth of $10,000 chart shows the final value of a hypothetical $10,000 investment in securities of this series of the fund as at the end of the investment period indicated and is not intended to reflect future values or returns on investment in such securities.

⁵ The Growth of $10,000 chart shows the final value of a hypothetical $10,000 investment in securities of this series of the fund as at the end of the investment period indicated and is not intended to reflect future values or returns on investment in such securities.