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Trending ETFs

Capital Link Global Green Energy Transport & Technology Leaders ETF

ETF
EKAR
Payout Change
Pending
Price as of:
$29.0 -0.05 -0.17%
primary theme
N/A
EKAR (ETF)

Capital Link Global Green Energy Transport & Technology Leaders ETF

Payout Change
Pending
Price as of:
$29.0 -0.05 -0.17%
primary theme
N/A
EKAR (ETF)

Capital Link Global Green Energy Transport & Technology Leaders ETF

Payout Change
Pending
Price as of:
$29.0 -0.05 -0.17%
primary theme
N/A

Name

As of 01/11/2023

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

$29.00

$8.04 M

0.34%

$0.10

0.65%

Vitals

YTD Return

0.2%

1 yr return

-23.9%

3 Yr Avg Return

11.0%

5 Yr Avg Return

N/A

Net Assets

$8.04 M

Holdings in Top 10

18.8%

52 WEEK LOW AND HIGH

$29.0
$27.83
$40.58

Expenses

OPERATING FEES

Expense Ratio 0.65%

SALES FEES

Front Load N/A

Deferred Load N/A

TRADING FEES

Turnover 22.00%

Redemption Fee N/A


Min Investment

Standard (Taxable)

N/A

IRA

N/A


Fund Classification

Fund Type

Exchange Traded Fund


Name

As of 01/11/2023

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

$29.00

$8.04 M

0.34%

$0.10

0.65%

EKAR - Profile

Distributions

  • YTD Total Return 0.2%
  • 3 Yr Annualized Total Return 11.0%
  • 5 Yr Annualized Total Return N/A
  • Capital Gain Distribution Frequency N/A
  • Net Income Ratio 0.48%
DIVIDENDS
  • Dividend Yield 0.3%
  • Dividend Distribution Frequency Annually

Fund Details

  • Legal Name
    Capital Link Global Green Energy Transport & Technology Leaders ETF
  • Fund Family Name
    Innovation Shares
  • Inception Date
    Feb 09, 2018
  • Shares Outstanding
    225017
  • Share Class
    N/A
  • Currency
    USD
  • Domiciled Country
    United States
  • Manager
    Andrew Serowik

Fund Description

The Fund will normally invest at least 80% of its net assets in securities of the Index. The Index is designed to measure the performance of a portfolio of companies that have business involvement in the development or use of or investment in new energy vehicles, autonomously driven vehicles, battery technology, renewable energy, and energy storage (“Green Energy Transport and Technology Leaders”). Under normal circumstances, the Fund will invest at least 80% of its net assets, plus the amount of any borrowings for investment purposes, in securities of Green Energy Transport and Technology Leaders.

The Index was designed by Capital Link (the “Index Provider”) using a proprietary natural language processing (“NLP”) algorithmic stock selection methodology developed by ALLINDEX (the “Methodology”). The eligible universe of Index components includes companies that: (1) are listed on major stock exchanges of developed and emerging markets countries, as defined by ALLINDEX according to the rules-based Methodology; (2) have a minimum market capitalization of $100 million and a minimum average daily traded value for the last 6 months greater than or equal to $1 million; and (3) have a minimum free float market capitalization (shares publicly available for purchase on the stock market) equivalent to 10% of shares outstanding. Shares of common stock, units, tracking stocks, American Depository Receipts (“ADRs”) and Global Depository Receipts (“GDRs”) are eligible for inclusion in the Index. Where securities of eligible companies have multiple share classes listed on major exchanges, the most liquid share class as determined by the average daily traded value for the sixth month period preceding the date companies are screened for inclusion. The Index may include China A-shares, which are shares of mainland China-based companies that trade on the Chinese stock exchanges.

From this eligible universe, companies are screened according to the Methodology for their investment in, production of materials and components for, or development of technologies for Green Energy Transport and Technology Leaders using ALLINDEX’s NLP algorithm. The algorithm identifies a relationship between certain keywords that are representative of targeted investment trends and themes, as well as investment securities whose short- and long-term values are affected by such trends and themes. The algorithm reads through a large volume of textual data on an online media platform and databases and identifies companies that are Green Energy Transport and Technology Leaders.

These companies are then grouped into the following “stakeholder” categories: (1) Battery Producers (companies that mine or produce materials, chemicals, and components that are used in the production of batteries and renewable energy); (2) Original Equipment Manufacturers (OEMs) (companies that design, manufacture or distribute new energy vehicles, autonomous vehicles, renewable energy, and energy storage); (3) Suppliers (companies that produce or distribute parts and components used for the remaining four categories, including thermal management (heating/cooling) systems and drive-train elements (other than batteries)); (4) Semiconductors & Software (companies that produce semiconductors & software used in new energy vehicles and autonomously driven vehicles, including advanced driver-assistance systems (ADAS), Light Detection & Ranging (LiDAR), and infotainment, and companies that develop software necessary for sensing, mapping and providing driving policy within new energy vehicles and autonomously driven vehicles); and (5) Renewable Energy Producers (companies that produce renewable energy, such as wind, photovoltaics, or water).

Once eligible companies are grouped into the stakeholder categories, companies are ranked within their category based on a score applied using the Methodology. In order to limit overconcentration of the Index in a stakeholder category, the following rules are applied in constructing the final Index: (1) Index components are selected based on rankings within their stakeholder category; (2) the maximum number of Index components in each stakeholder category is capped consistent with the index methodology; and (3) components chosen for inclusion in the Index are equally weighted. Index components are reconstituted in June and December and rebalanced in March and September. As of March 1, 2022, the Index comprised 69 component securities with an average market capitalization of $83 billion.

The Fund employs a “passive management” investment strategy designed to track the performance of the Index. The Adviser generally will use a replication methodology, meaning it will invest in all of the securities comprising the Index in proportion to their respective weightings in the Index. However, the Adviser may utilize a sampling methodology under various circumstances, including when it may not be possible or practicable to purchase all of the securities in the Index. The Adviser expects that over time, if the Fund has sufficient assets, the correlation between the Fund’s performance, before fees and expenses, and that of the Index will be 95% or better. A figure of 100% would indicate perfect correlation.

The Fund may invest up to 20% of its net assets in investments that are not included in the Index, but that the Adviser believes will help the Fund track the performance of the Index.

The Fund will concentrate its investments (i.e., invest more than 25% of its total assets) in a particular industry or group of industries to approximately the same extent that the Index concentrates in an industry or group of industries. As of March 1, 2022, the Index was not concentrated in any industry. In addition, in replicating the Index, the Fund may from time to time invest a significant portion of its assets in the securities of companies in one or more sectors. As of March 1, 2022, a significant portion of the Index consisted of companies in the Consumer Discretionary Sector and Information Technology Sector.

Capital Link and ALLINDEX are not affiliates of the Fund or the Adviser. The Index is calculated and administered by Solactive AG, which is not an affiliate of the Fund, the Adviser or the Index Provider.

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EKAR - Performance

Return Ranking - Trailing

Period EKAR Return Category Return Low Category Return High Rank in Category (%)
YTD 0.2% -42.7% 29.0% 24.24%
1 Yr -23.9% -50.5% 60.1% 68.18%
3 Yr 11.0%* 4.5% 39.5% 36.20%
5 Yr N/A* 0.1% 29.5% N/A
10 Yr N/A* 6.4% 24.6% N/A

* Annualized

Return Ranking - Calendar

Period EKAR Return Category Return Low Category Return High Rank in Category (%)
2023 -25.9% -78.5% 59.2% 34.67%
2022 8.1% -63.4% 154.1% 14.91%
2021 17.7% -3.0% 63.7% 83.80%
2020 5.1% -49.7% 16.4% N/A
2019 N/A -17.3% 83.6% N/A

Total Return Ranking - Trailing

Period EKAR Return Category Return Low Category Return High Rank in Category (%)
YTD 0.2% -46.2% 29.0% 38.12%
1 Yr -23.9% -50.5% 68.9% 68.87%
3 Yr 11.0%* 4.5% 39.5% 48.49%
5 Yr N/A* 0.1% 30.0% N/A
10 Yr N/A* 6.4% 24.6% N/A

* Annualized

Total Return Ranking - Calendar

Period EKAR Return Category Return Low Category Return High Rank in Category (%)
2023 -25.9% -78.5% 59.2% 34.67%
2022 8.1% -63.4% 154.1% 14.91%
2021 17.7% -3.0% 63.7% 83.80%
2020 5.1% -49.7% 16.4% N/A
2019 N/A -17.3% 83.6% N/A

EKAR - Holdings

Concentration Analysis

EKAR Category Low Category High EKAR % Rank
Net Assets 8.04 M 1.01 M 57.9 B 89.15%
Number of Holdings 78 1 462 17.75%
Net Assets in Top 10 1.51 M 2.68 K 35 B 84.17%
Weighting of Top 10 18.81% 6.3% 100.0% 98.08%

Top 10 Holdings

  1. Daimler AG 4.57%
  2. Daimler AG 4.57%
  3. Daimler AG 4.57%
  4. Daimler AG 4.57%
  5. Daimler AG 4.57%
  6. Daimler AG 4.57%
  7. Daimler AG 4.57%
  8. Daimler AG 4.57%
  9. Daimler AG 4.57%
  10. Daimler AG 4.57%

Asset Allocation

Weighting Return Low Return High EKAR % Rank
Stocks
100.45% 0.00% 116.59% 38.13%
Preferred Stocks
0.00% 0.00% 0.79% 84.89%
Other
0.00% -1.44% 30.69% 84.89%
Convertible Bonds
0.00% 0.00% 0.32% 84.17%
Bonds
0.00% 0.00% 3.85% 85.37%
Cash
-0.45% -16.60% 100.00% 56.59%

Stock Sector Breakdown

Weighting Return Low Return High EKAR % Rank
Consumer Cyclical
34.94% 0.00% 36.75% 0.48%
Technology
29.07% 0.00% 100.00% 92.31%
Industrials
19.18% 0.00% 52.26% 5.05%
Basic Materials
12.37% 0.00% 45.90% 0.96%
Communication Services
2.98% 0.00% 96.76% 75.24%
Utilities
1.46% 0.00% 8.35% 3.37%
Real Estate
0.00% 0.00% 24.65% 87.26%
Healthcare
0.00% 0.00% 70.95% 93.27%
Financial Services
0.00% 0.00% 55.06% 95.43%
Energy
0.00% 0.00% 8.61% 84.13%
Consumer Defense
0.00% 0.00% 36.89% 87.26%

Stock Geographic Breakdown

Weighting Return Low Return High EKAR % Rank
Non US
79.71% 0.00% 99.29% 0.96%
US
20.74% 0.00% 106.47% 99.04%

EKAR - Expenses

Operational Fees

EKAR Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.65% 0.08% 2.97% 51.09%
Management Fee 0.95% 0.00% 1.95% 90.85%
12b-1 Fee 0.00% 0.00% 1.00% 36.60%
Administrative Fee N/A 0.02% 0.50% N/A

Sales Fees

EKAR 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 1.00% 5.00% N/A

Trading Fees

EKAR 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.

EKAR Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover 22.00% 0.69% 284.00% 25.00%

EKAR - Distributions

Dividend Yield Analysis

EKAR Category Low Category High EKAR % Rank
Dividend Yield 0.34% 0.00% 21.03% 18.90%

Dividend Distribution Analysis

EKAR Category Low Category High Category Mod
Dividend Distribution Frequency Annually Annually Monthly Annually

Net Income Ratio Analysis

EKAR Category Low Category High EKAR % Rank
Net Income Ratio 0.48% -2.30% 2.08% 12.13%

Capital Gain Distribution Analysis

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

Distributions History

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EKAR - Fund Manager Analysis

Managers

Andrew Serowik


Start Date

Tenure

Tenure Rank

Dec 31, 2020

1.41

1.4%

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

Dec 31, 2020

1.41

1.4%

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

Dec 31, 2020

1.41

1.4%

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
0.03 32.27 5.94 1.25