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Critical Facts You Need to Know About Preferred Stocks
Have you ever wished for the safety of bonds, but the return potential...
Name
As of 11/19/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
YTD Return
21.6%
1 yr return
29.0%
3 Yr Avg Return
5.1%
5 Yr Avg Return
15.8%
Net Assets
$8.47 M
Holdings in Top 10
40.7%
Expense Ratio 0.75%
Front Load N/A
Deferred Load N/A
Turnover N/A
Redemption Fee N/A
Standard (Taxable)
N/A
IRA
N/A
Fund Type
Exchange Traded Fund
Name
As of 11/19/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
The Fund is an actively-managed exchange-traded fund (“ETF”) that seeks to achieve its investment objective by utilizing an investment strategy enhanced by the use of artificial intelligence, as described below. Under normal circumstances, the Fund invests at least 80% of its net assets (plus the amounts of any borrowings for investment purposes) in securities of U.S.-listed large capitalization companies. The Fund defines large capitalization companies as those that, at the time of investment, have a minimum market capitalization equal to or greater than the minimum market capitalization of a widely recognized index of large capitalization companies based upon the composition of the index at the time of investment (the “Universe”). The Fund invests in equity securities of such companies, including common stock, American Depositary Receipts (“ADRs”), and Global Depositary Receipts (“GDRs”). The Fund’s adviser, Exchange Traded Concepts, LLC (the “Adviser”), uses an investment process based on a proprietary artificial intelligence security selection process that extracts patterns from analyzing data, as discussed below, developed by QRAFT Technologies, Inc. (“Qraft”). Qraft is a South Korea-based provider of artificial intelligence investment systems and currently offers services to various financial institutions in Korea. Qraft has licensed its proprietary artificial intelligence security selection process to the Adviser for purposes of managing the Fund.
In pursuing the Fund’s investment objective, the Adviser consults a database generated by Qraft’s AI Quantitative Investment System (“QRAFT AI”), which automatically evaluates and filters data according to parameters supporting a particular investment thesis. For the Fund’s database, QRAFT AI selects and weights portfolios of companies in the Universe listed on the New York Stock Exchange and NASDAQ to provide a balanced exposure to a variety of factors affecting the U.S. market including, but not limited to, quality (generally, a company’s profitability), size (market capitalization), value (comparison of a company’s market value versus its book value), momentum (a security’s recent price returns compared to the overall market over time), and volatility (a security’s systematic risk as compared to the market as a whole) (the “U.S. Large Cap Database”). QRAFT AI first estimates each stock’s relative superiority of price appreciation (i.e., increase in stock price) over the rest of the pool of companies for the next four week investment period using deep learning technologies (i.e., exposure to and processing of large amounts of data) and the distribution of each stock’s relative superiority of price appreciation for the same period using deep learning architectures such as Bayesian neural networks that estimate the uncertainty of its forecast, and selects the top 300 to 350 stocks based on the average of the distribution of each stock’s relative superiority of price appreciation for inclusion in the database. QRAFT AI compresses such data and evaluates how each individual factor would change and/or affect a company over time, identifying the companies that have the greatest potential to outperform their U.S. large cap peers over the next four week period. The stocks included in the database are then weighted pursuant to a methodology designed to maximize risk-adjusted return as compared to other companies, and the final portfolios are then delivered to the U.S. Large Cap Database for use by the Adviser. QRAFT AI repeats such processes every four weeks, and the Adviser makes or changes investments in the Fund based on the newly generated information.
The Fund expects to hold 300 to 350 companies in its portfolio. While it is anticipated that the Adviser will purchase and sell securities based on recommendations by the U.S. Large Cap Database, the Adviser has full discretion over investment decisions for the Fund. Therefore, the Adviser has full decision-making power not only if it identifies a potential technical issue or error with the U.S. Large Cap Database, but also if it believes that the recommended portfolio does not further the Fund’s investment objective or fails to take into account company events such as corporate actions, mergers and spin-offs. Additionally, the Adviser has discretion over the amount of cash maintained in the Fund’s portfolio and the reinvestment of dividends in the Fund’s portfolio, subject to the Fund’s distribution requirements as a regulated investment company (“RIC”) under Subchapter M of the Internal Revenue Code of 1986, as amended (the “Internal Revenue Code”). See “Federal Income Taxes” in the Fund’s Statement of Additional Information (the “SAI”) for a more complete discussion. Notwithstanding the foregoing, the Fund limits the weighting of a single company to 10% and no more than 40% of the Fund’s assets may be invested in securities with a more than 5% weighting in the Fund’s portfolio. Because the U.S. Large Cap Database is adjusted every four weeks, the Adviser expects that the Fund will frequently purchase and sell shares of securities.
While investing in a particular market sector is not a strategy of the Fund, its portfolio may be significantly invested in one or more sectors as a result of the security selection decisions made pursuant to its strategy. As of August 1, 2024, a significant portion of the Fund’s assets consisted of securities of companies in the Information Technology Sector, although this may change from time to time.
Period | QRFT Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | 21.6% | -0.3% | 50.1% | 76.81% |
1 Yr | 29.0% | 3.3% | 68.8% | 75.18% |
3 Yr | 5.1%* | -25.9% | 24.2% | 57.56% |
5 Yr | 15.8%* | -14.0% | 29.6% | 52.28% |
10 Yr | N/A* | -4.9% | 19.8% | 79.74% |
* Annualized
Period | QRFT Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | 23.1% | -74.1% | 72.4% | 80.34% |
2022 | -23.3% | -85.9% | 4.7% | 9.30% |
2021 | 22.7% | -52.4% | 60.5% | 9.39% |
2020 | 37.6% | -34.3% | 145.0% | 20.13% |
2019 | N/A | -6.9% | 49.4% | N/A |
Period | QRFT Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | 21.6% | -0.3% | 50.1% | 76.81% |
1 Yr | 29.0% | 3.3% | 68.8% | 75.18% |
3 Yr | 5.1%* | -25.9% | 24.2% | 57.56% |
5 Yr | 15.8%* | -14.0% | 29.6% | 52.28% |
10 Yr | N/A* | -4.9% | 19.8% | N/A |
* Annualized
Period | QRFT Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | 24.2% | -4.6% | 72.4% | 88.59% |
2022 | -22.7% | -61.7% | 5.6% | 17.13% |
2021 | 22.7% | -39.8% | 118.1% | 44.42% |
2020 | 40.1% | 2.8% | 149.2% | 32.37% |
2019 | N/A | -5.2% | 49.4% | N/A |
QRFT | Category Low | Category High | QRFT % Rank | |
---|---|---|---|---|
Net Assets | 8.47 M | 296 K | 287 B | 98.29% |
Number of Holdings | 351 | 2 | 3061 | 5.23% |
Net Assets in Top 10 | 5.25 M | 126 K | 151 B | 98.38% |
Weighting of Top 10 | 40.73% | 0.7% | 205.0% | 84.46% |
Weighting | Return Low | Return High | QRFT % Rank | |
---|---|---|---|---|
Stocks | 99.77% | 0.00% | 115.30% | 15.05% |
Cash | 0.24% | 0.00% | 173.52% | 78.47% |
Preferred Stocks | 0.00% | 0.00% | 10.69% | 47.39% |
Other | 0.00% | -31.50% | 50.35% | 51.98% |
Convertible Bonds | 0.00% | 0.00% | 1.94% | 39.44% |
Bonds | 0.00% | 0.00% | 102.71% | 41.44% |
Weighting | Return Low | Return High | QRFT % Rank | |
---|---|---|---|---|
Financial Services | 26.27% | 0.00% | 43.06% | 1.53% |
Technology | 14.64% | 0.00% | 65.70% | 97.11% |
Industrials | 11.25% | 0.00% | 30.65% | 9.30% |
Consumer Cyclical | 10.63% | 0.00% | 62.57% | 82.40% |
Healthcare | 10.54% | 0.00% | 39.76% | 70.40% |
Real Estate | 6.75% | 0.00% | 16.05% | 1.90% |
Utilities | 6.53% | 0.00% | 16.07% | 1.71% |
Consumer Defense | 4.03% | 0.00% | 25.50% | 43.41% |
Communication Services | 3.98% | 0.00% | 66.40% | 93.05% |
Energy | 3.10% | 0.00% | 41.09% | 19.49% |
Basic Materials | 2.27% | 0.00% | 18.91% | 26.44% |
Weighting | Return Low | Return High | QRFT % Rank | |
---|---|---|---|---|
US | 99.77% | 0.00% | 115.30% | 11.26% |
Non US | 0.00% | 0.00% | 75.51% | 58.02% |
QRFT Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Expense Ratio | 0.75% | 0.01% | 28.71% | 68.35% |
Management Fee | 0.75% | 0.00% | 1.50% | 80.94% |
12b-1 Fee | 0.00% | 0.00% | 1.00% | 6.27% |
Administrative Fee | N/A | 0.01% | 1.02% | N/A |
QRFT Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Front Load | N/A | 2.25% | 8.50% | N/A |
Deferred Load | N/A | 1.00% | 5.00% | N/A |
QRFT Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Max Redemption Fee | N/A | 1.00% | 2.00% | N/A |
Turnover provides investors a proxy for the trading fees incurred by mutual fund managers who frequently adjust position allocations. Higher turnover means higher trading fees.
QRFT Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Turnover | N/A | 0.00% | 316.74% | N/A |
QRFT | Category Low | Category High | QRFT % Rank | |
---|---|---|---|---|
Dividend Yield | 0.44% | 0.00% | 27.58% | 26.87% |
QRFT | Category Low | Category High | Category Mod | |
---|---|---|---|---|
Dividend Distribution Frequency | Quarterly | Annually | Annual | Annual |
QRFT | Category Low | Category High | QRFT % Rank | |
---|---|---|---|---|
Net Income Ratio | -0.06% | -6.13% | 3.48% | 30.39% |
QRFT | Category Low | Category High | Capital Mode | |
---|---|---|---|---|
Capital Gain Distribution Frequency | Annually | Annually | Annually |
Date | Amount | Type |
---|---|---|
Sep 24, 2024 | $0.059 | OrdinaryDividend |
Jun 24, 2024 | $0.046 | OrdinaryDividend |
Mar 25, 2024 | $0.040 | OrdinaryDividend |
Dec 26, 2023 | $0.131 | OrdinaryDividend |
Sep 26, 2023 | $0.071 | OrdinaryDividend |
Jun 27, 2023 | $0.103 | OrdinaryDividend |
Mar 27, 2023 | $0.036 | OrdinaryDividend |
Dec 27, 2022 | $0.120 | OrdinaryDividend |
Sep 27, 2022 | $0.088 | OrdinaryDividend |
Jun 24, 2022 | $0.082 | OrdinaryDividend |
Mar 25, 2022 | $0.006 | OrdinaryDividend |
Sep 27, 2021 | $0.024 | OrdinaryDividend |
Dec 28, 2020 | $0.687 | OrdinaryDividend |
Dec 23, 2019 | $1.104 | OrdinaryDividend |
Start Date
Tenure
Tenure Rank
May 20, 2019
3.03
3.0%
Mr. Serowik joined Exchange Traded Concepts, LLC from Goldman Sachs in May 2018. He began his career at Spear, Leeds & Kellogg, continuing with Goldman after its acquisition of SLK in September 2000. During his career of more than 18 years at the combined companies, he held various roles, including managing the global Quant ETF Strats team and One Delta ETF Strats. He designed and developed systems for portfolio risk calculation, algorithmic ETF trading, and execution monitoring, with experience across all asset classes. He graduated from the University of Michigan with a Bachelor of Business Administration degree in Finance.
Start Date
Tenure
Tenure Rank
May 18, 2021
1.04
1.0%
Mr. Tan joined Exchange Traded Concepts, LLC in May 2019 as an Associate Portfolio Manager and was promoted to Portfolio Manager in December 2020. He began his career at UBS and BBR Partners where he worked as a financial planning analyst and a portfolio strategist for over four years. During his time there, he developed comprehensive wealth management solutions focused on portfolio optimization, trust and estate planning, and tax planning.
Start Date
Tenure
Tenure Rank
May 18, 2021
1.04
1.0%
Mr. Alberico joined Exchange Traded Concepts, LLC in November 2020, having spent the past 14 years in ETF trading at Goldman Sachs, Cantor Fitzgerald, and, most recently, Virtu Financial. He spent most of that time focused on the Trading and Portfolio Risk Management of ETFs exposed to international and domestic equity. He has worked on several different strategies including lead market-making and electronic trading, to customer facing institutional business developing models for block trading as well as transitional trades. Mr. Alberico graduated from St. John’s University in NY with a Bachelor of Science degree in Finance.
Category Low | Category High | Category Average | Category Mode |
---|---|---|---|
0.04 | 54.45 | 8.24 | 3.08 |
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