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APCB is an actively-managed fund that blends active and passive investment strategies to optimize costs, tracking and potential return over the Bloomberg U.S. Aggregate Bond Index, the Fund’s benchmark index. The ratio of the Fund’s investment portfolio that is actively versus passively managed is determined by a variety of factors, including Envestnet’s proprietary methodologies and academic research on factor investing. APCB will invest at least 80% of its net assets in fixed income securities that are rated investment grade or better and up to 20% of its net assets in high yield debt securities.
APIE is an actively-managed fund that blends active and passive investment strategies to optimize costs, tracking and potential return over the S&P Classic ADR Composite Index, the Fund’s benchmark index. The Fund also employs a strategic beta strategy for a portion of the Fund’s investment portfolio. The ratio of the Fund’s investment portfolio that is actively versus passively managed is determined by a variety of factors, including Envestnet’s proprietary methodologies and academic research on factor investing.
APMU is an actively-managed fund that blends active and passive investment strategies to optimize costs, tracking and potential return over the Bloomberg Municipal 1-10 Year Blend Index, the Fund’s benchmark index. The ratio of the Fund’s investment portfolio that is actively versus passively managed is determined by a variety of factors, including Envestnet’s proprietary methodologies and academic research on factor investing. APMU will invest at least 80% of its net assets in U.S. municipal bond securities that are exempt from U.S. federal income tax and are rated investment grade or better.
APUE is an actively-managed fund that blends active and passive investment strategies to optimize costs, tracking and potential return over the CRSP US Large Cap Index, the Fund’s benchmark index. The Fund also employs a strategic beta strategy for a portion of the Fund’s investment portfolio. The ratio of the Fund’s investment portfolio that is actively versus passively managed is determined by a variety of factors, including the firm’s proprietary methodologies and academic research on factor investing.
MAYW intends to invest substantially all of its assets in FLexible EXchange Options (“FLEX Options”) that reference the SPDR S&P 500 ETF Trust (“Underlying ETF”). The Fund uses FLEX Options to seek to deliver returns that match, at the end of a specified Outcome Period, the share price returns of the Underlying ETF (i.e., the market price returns of the Underlying ETF) up to the Cap. The Fund seeks to provide shareholders that hold shares for the entire Outcome Period with a downside loss buffer against the first 20% of Underlying ETF losses (the “Buffer”).
An actively managed strategy that takes a thematic approach to identify disruptive leaders across sectors and geographies. FWD seeks to outperform global growth equity markets by investing in innovative market leaders who are poised to disrupt their respective industries. Selects companies at the rapid adoption phase of the S-curve in an effort to provide access to durable high-growth opportunities, with proven business models and a clear path to potential profitability.
CHAT is an actively-managed fund designed to provide exposure to companies involved in the investment theme of artificial intelligence, generative artificial intelligence, and related technologies. Generative AI is a type of artificial intelligence technology that uses neural networks to generate new data that is similar in structure and format to existing data. Unlike other AI techniques that use existing data to make predictions or classifications, generative AI can create entirely new data that is original and unique. This is accomplished through the use of complex algorithms that learn to recognize patterns and relationships within large datasets, allowing the AI system to generate new content or ideas that are similar in style or format.
IQSM seeks investment results that track, before fees and expenses, the price and yield performance of the IQ Candriam ESG US Mid Cap Equity Index, which is designed to deliver exposure to U.S. mid cap equity securities of companies that satisfy environmental, social, and governance (ESG) criteria, developed by Candriam.
JUNZ utilizes a buffer protect options strategy, that seeks to provide investors with returns (before fees and expenses) that track those of the S&P 500 Index while seeking to provide an 8-12% downside buffer (with the advisor targeting 10%) on the first of that index’s losses over a 12-month investment period. The JUNZ defined investment period begins on June 1, 2021 and resets exactly 12 months later. The strategy is implemented through the purchase and sale of options on the S&P 500 Price Index or an ETF that tracks the S&P 500 Price Return Index.
IQHI is an actively managed high yield strategy that seeks high current income and risk-adjusted returns while incorporating the Subadvisor’s ESG investment criteria. The Fund seeks to achieve its investment objective through investments in debt instruments offering attractive levels of yield. This Fund expects to invest primarily in U.S. corporate debt securities, non-U.S. corporate debt securities, convertible corporate securities, loans and loan participation interests that are rated below investment grade by a nationally recognized statistical rating organization (“NRSRO”) or that are unrated but are considered to be of comparable quality by MacKay Shields LLC (the “Subadvisor”).
QGRW seeks to track the price and yield performance, before fees and expenses, of the WisdomTree U.S. Quality Growth Index. The WisdomTree U.S. Quality Growth Index is a market-cap weighted index that consists of companies with quality and growth characteristics. The top 500 U.S. companies by market capitalization are ranked on a composite score of two fundamental factors: growth and quality, which are equally weighted. The Index is comprised of the 100 U.S. companies with the highest composite scores.
KLIP seeks to provide current income by following a “covered call” or “buy-write” strategy. KLIP buys shares of the KraneShares CSI China Internet ETF (ticker: KWEB) and “writes” or “sells” corresponding call options on KWEB. Both KLIP and KWEB are benchmarked to the CSI Overseas China Internet Index, which tracks the performance of the investable universe of publicly traded China-based companies in the Internet sector.
The investment objective of GMAY is to seek to provide investors with returns (before fees and expenses) that match the price return of the SPDR S&P 500 ETF Trust, up to a predetermined upside cap of 14.60% while providing a buffer (before fees and expenses) against the first 15% of Underlying ETF losses, over the period from May 22, 2023 through May 17, 2024.
RNEM seeks investment results that correspond generally to the price and yield (before the Funds fees and expenses) of an equity index called the Nasdaq Riskalyze Emerging Markets Index. The Fund will normally invest at least 90% of its net assets (including investment borrowings) in common stocks and depositary receipts that comprise the Index. The Fund, using an indexing investment approach, attempts to replicate, before fees and expenses, the performance of the Index. The Fund’s investment advisor seeks a correlation of 0.95 or better (before fees and expenses) between the Fund’s performance and the performance of the Index; a figure of 1.00 would represent perfect correlation.
MEM seeks to invest in companies capable of sustainable growth based on the fundamental characteristics of those companies, including balance sheet information; number of employees; size and stability of cash flow; management’s depth, adaptability and integrity; product lines; marketing strategies; corporate governance; and financial health. Matthews expects that the companies in which the Fund invests typically will be of medium or large size, but the Fund may invest in companies of any size. Matthews measures a company’s size with respect to fundamental criteria such as, but not limited to, market capitalization, book value, revenues, profits, cash flow, dividends paid and number of employees.
The investment objective of BUFQ is to seek to provide investors with capital appreciation. The Fund seeks to achieve its investment objective by providing investors with large-cap equity market exposure while attempting to limit downside risk through a laddered portfolio of four FT Cboe Vest Nasdaq-100 Buffer ETFs (the “Underlying ETFs”). Under normal market conditions, the Fund will invest substantially all of its assets in the Underlying ETFs, which seek to provide investors with returns (before fees, expenses and taxes) that match the price return of the Invesco QQQ TrustSM, Series 1 (“QQQ”), up to a predetermined upside cap, while providing a buffer against the first 10% (before fees, expenses and taxes) of QQQ losses, over a defined one-year period.
APRH invests in FLexible Exchange Options (FLEX Options) that reference the S&P 500 Price Return Index (the U.S. Equity Index) and U.S. Treasury bills (U.S. Treasuries) to employ an income-oriented defined outcome strategy. Defined outcome strategies seek to produce pre-determined investment outcomes based upon the performance of an underlying security or index. The outcomes sought by the Fund, which include the defined distributions and barrier discussed below (the Outcomes), are contingent on the performance of the U.S. Equity Index price return and the yield of the U.S. Treasuries over an approximately one-year period from April 1 through March 31 of the following year (the Outcome Period).
