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Trending ETFs

QRAFT AI-Enhanced U.S. High Dividend ETF

Active ETF
HDIV
Payout Change
Pending
Price as of:
$31.37 +0.07 +0.22%
primary theme
N/A
HDIV (ETF)

QRAFT AI-Enhanced U.S. High Dividend ETF

Payout Change
Pending
Price as of:
$31.37 +0.07 +0.22%
primary theme
N/A
HDIV (ETF)

QRAFT AI-Enhanced U.S. High Dividend ETF

Payout Change
Pending
Price as of:
$31.37 +0.07 +0.22%
primary theme
N/A

Name

As of 01/20/2023

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

$31.37

$5.57 M

2.99%

$0.94

0.75%

Vitals

YTD Return

3.2%

1 yr return

3.1%

3 Yr Avg Return

N/A

5 Yr Avg Return

N/A

Net Assets

$5.57 M

Holdings in Top 10

47.9%

52 WEEK LOW AND HIGH

$31.4
$27.51
$32.78

Expenses

OPERATING FEES

Expense Ratio 0.75%

SALES FEES

Front Load N/A

Deferred Load N/A

TRADING FEES

Turnover N/A

Redemption Fee N/A


Min Investment

Standard (Taxable)

N/A

IRA

N/A


Fund Classification

Fund Type

Exchange Traded Fund


Name

As of 01/20/2023

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

$31.37

$5.57 M

2.99%

$0.94

0.75%

HDIV - Profile

Distributions

  • YTD Total Return 3.2%
  • 3 Yr Annualized Total Return N/A
  • 5 Yr Annualized Total Return N/A
  • Capital Gain Distribution Frequency N/A
  • Net Income Ratio 2.05%
DIVIDENDS
  • Dividend Yield 3.0%
  • Dividend Distribution Frequency Quarterly

Fund Details

  • Legal Name
    QRAFT AI-Enhanced U.S. High Dividend ETF
  • Fund Family Name
    Exchange Traded Concepts
  • Inception Date
    Feb 26, 2020
  • Shares Outstanding
    175005
  • Share Class
    N/A
  • Currency
    USD
  • Domiciled Country
    United States
  • Manager
    Andrew Serowik

Fund Description

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 dividend paying securities of U.S.-listed companies. The Fund generally invests in the common stock of U.S.-listed companies having a market capitalization in excess of $4 billion at the time of purchase (the “Universe”). 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 filters the securities in the Universe into an investment pool of 200 to 400 stocks using a proprietary dividend factor scoring formula based on dividend and quality factors including but not limited to dividend yield and dividend growth. QRAFT AI then estimates each stock’s relative superiority of price appreciation (i.e., increase in stock price) over the rest of the pool for the next three month 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 Bayesian neural networks that estimate the uncertainty of its forecast, and selects the top 100 stocks based on the average of the distribution of each stock’s relative superiority of price appreciation for inclusion in the database. The stocks included in the database are weighted based on their market capitalization.

The Fund expects to hold 100 companies in its portfolio. While it is anticipated that the Adviser will purchase and sell securities based on recommendations by the QRAFT AI database described above, 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 QRAFT AI 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 RIC under Subchapter M of 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. Due to frequency of the rebalancing of the QRAFT AI database, 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, 2022, a significant portion of the Fund’s assets consisted of securities of companies in the Consumer Staples Sector, Health Care Sector, and Information Technology Sector, although this may change from time to time. The Fund is non-diversified and may invest a greater percentage of its assets in a particular issuer than a diversified fund.

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HDIV - Performance

Return Ranking - Trailing

Period HDIV Return Category Return Low Category Return High Rank in Category (%)
YTD 3.2% -21.2% 27.4% 65.28%
1 Yr 3.1% -61.6% 51.5% 6.36%
3 Yr N/A* -24.7% 59.8% N/A
5 Yr N/A* -17.9% 29.3% N/A
10 Yr N/A* -16.3% 14.8% N/A

* Annualized

Return Ranking - Calendar

Period HDIV Return Category Return Low Category Return High Rank in Category (%)
2023 -3.4% -65.1% 38.0% 11.16%
2022 11.0% -25.3% 29.0% 19.14%
2021 N/A -8.4% 56.7% N/A
2020 N/A -24.3% 10.4% N/A
2019 N/A -17.8% 21.9% N/A

Total Return Ranking - Trailing

Period HDIV Return Category Return Low Category Return High Rank in Category (%)
YTD 3.2% -21.2% 27.4% 65.20%
1 Yr 3.1% -61.6% 61.5% 8.41%
3 Yr N/A* -24.7% 59.8% N/A
5 Yr N/A* -16.9% 32.3% N/A
10 Yr N/A* -3.4% 21.6% N/A

* Annualized

Total Return Ranking - Calendar

Period HDIV Return Category Return Low Category Return High Rank in Category (%)
2023 -3.4% -65.1% 38.0% 11.16%
2022 11.0% -25.3% 29.0% 19.14%
2021 N/A -8.4% 56.7% N/A
2020 N/A -24.3% 10.4% N/A
2019 N/A -8.9% 21.9% N/A

HDIV - Holdings

Concentration Analysis

HDIV Category Low Category High HDIV % Rank
Net Assets 5.57 M 390 K 151 B 97.64%
Number of Holdings 104 2 1727 28.82%
Net Assets in Top 10 2.66 M 2.1 K 32.3 B 95.06%
Weighting of Top 10 47.92% 2.8% 99.2% 6.53%

Top 10 Holdings

  1. Johnson & Johnson 8.08%
  2. UnitedHealth Group Inc 6.88%
  3. Walmart Inc 6.74%
  4. Eli Lilly and Co 5.64%
  5. Procter & Gamble Co 5.30%
  6. AbbVie Inc 4.92%
  7. The Home Depot Inc 4.48%
  8. International Business Machines Corp 4.41%
  9. Merck & Co Inc 4.39%
  10. PepsiCo Inc 4.38%

Asset Allocation

Weighting Return Low Return High HDIV % Rank
Stocks
99.47% 10.06% 125.26% 28.75%
Cash
0.54% -88.20% 89.94% 68.82%
Preferred Stocks
0.00% 0.00% 19.30% 36.96%
Other
0.00% -2.02% 26.80% 33.16%
Convertible Bonds
0.00% 0.00% 3.66% 34.07%
Bonds
0.00% 0.00% 80.18% 34.90%

Stock Sector Breakdown

Weighting Return Low Return High HDIV % Rank
Healthcare
35.91% 0.00% 35.91% 0.08%
Consumer Defense
19.56% 0.00% 34.10% 2.75%
Technology
10.84% 0.00% 54.02% 47.56%
Communication Services
8.74% 0.00% 26.58% 11.83%
Energy
8.27% 0.00% 54.00% 38.55%
Financial Services
5.92% 0.00% 58.05% 99.31%
Consumer Cyclical
3.62% 0.00% 22.74% 85.50%
Industrials
3.48% 0.00% 42.76% 96.64%
Basic Materials
1.89% 0.00% 21.69% 79.77%
Real Estate
1.15% 0.00% 90.54% 71.37%
Utilities
0.60% 0.00% 27.04% 85.95%

Stock Geographic Breakdown

Weighting Return Low Return High HDIV % Rank
US
98.12% 9.63% 121.23% 21.67%
Non US
1.35% 0.00% 45.02% 71.79%

HDIV - Expenses

Operational Fees

HDIV Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.75% 0.01% 4.02% 55.69%
Management Fee 0.75% 0.00% 1.50% 85.51%
12b-1 Fee 0.00% 0.00% 1.00% 7.59%
Administrative Fee N/A 0.01% 0.50% N/A

Sales Fees

HDIV Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A 0.00% 5.75% N/A
Deferred Load N/A 0.95% 5.50% N/A

Trading Fees

HDIV Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A 1.00% 2.00% N/A

Related Fees

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.

HDIV Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover N/A 0.00% 488.00% N/A

HDIV - Distributions

Dividend Yield Analysis

HDIV Category Low Category High HDIV % Rank
Dividend Yield 2.99% 0.00% 42.08% 6.42%

Dividend Distribution Analysis

HDIV Category Low Category High Category Mod
Dividend Distribution Frequency Quarterly Annually Monthly Monthly

Net Income Ratio Analysis

HDIV Category Low Category High HDIV % Rank
Net Income Ratio 2.05% -1.51% 4.28% 14.12%

Capital Gain Distribution Analysis

HDIV Category Low Category High Capital Mode
Capital Gain Distribution Frequency Annually Semi-Annually Annually

Distributions History

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HDIV - Fund Manager Analysis

Managers

Andrew Serowik


Start Date

Tenure

Tenure Rank

Feb 26, 2020

2.26

2.3%

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.

Gabriel Tan


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.

Todd Alberico


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.

Tenure Analysis

Category Low Category High Category Average Category Mode
0.09 86.59 7.87 16.42