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JPMorgan Fundamental Data Science Large Core ETF

ETF
LCDS
Payout Change
Pending
Price as of:
$56.0725 +0.36 +0.64%
primary theme
N/A
LCDS (ETF)

JPMorgan Fundamental Data Science Large Core ETF

Payout Change
Pending
Price as of:
$56.0725 +0.36 +0.64%
primary theme
N/A
LCDS (ETF)

JPMorgan Fundamental Data Science Large Core ETF

Payout Change
Pending
Price as of:
$56.0725 +0.36 +0.64%
primary theme
N/A

Name

As of 10/11/2024

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

JPMorgan Fundamental Data Science Large Core ETF

LCDS | ETF

$56.07

$12.3 M

0.53%

$0.30

0.30%

Vitals

YTD Return

N/A

1 yr return

N/A

3 Yr Avg Return

N/A

5 Yr Avg Return

N/A

Net Assets

$12.3 M

Holdings in Top 10

N/A

52 WEEK LOW AND HIGH

$55.7
$51.10
$56.07

Expenses

OPERATING FEES

Expense Ratio 0.30%

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 10/11/2024

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

JPMorgan Fundamental Data Science Large Core ETF

LCDS | ETF

$56.07

$12.3 M

0.53%

$0.30

0.30%

LCDS - Profile

Distributions

  • YTD Total Return N/A
  • 3 Yr Annualized Total Return N/A
  • 5 Yr Annualized Total Return N/A
  • Capital Gain Distribution Frequency N/A
  • Net Income Ratio N/A
DIVIDENDS
  • Dividend Yield 0.5%
  • Dividend Distribution Frequency None

Fund Details

  • Legal Name
    JPMorgan Fundamental Data Science Large Core ETF
  • Fund Family Name
    JPMorgan Funds
  • Inception Date
    Aug 08, 2024
  • Shares Outstanding
    N/A
  • Share Class
    N/A
  • Currency
    USD
  • Domiciled Country
    US

Fund Description

Under normal circumstances, the Fund invests at least 80% of its Assets in equity securities of large, well established companies. “Assets” means net assets, plus the amount of borrowings for investment purposes. Large, well-established companies are companies with market capitalizations similar to those within the universe of the S&P 500 Index, the Fund’s benchmark, at the time of purchase. As of June 28, 2024, the market capitalizations of the companies in the S&P 500 Index ranged from $3.2billion to $3.3 trillion. The adviser chooses the Fund’s equity securities so that the overall portfolio has similar growth and value characteristics to its benchmark. While the Fund invests in securities that have growth and value characteristics, the portfolio is not focused on either type of securities, and the Fund is considered a core portfolio.Derivatives, which are instruments that have a value based on another instrument, exchange rate or index, may be used as substitutes for securities in which the Fund can invest. To the extent the Fund uses derivatives, the Fund will primarily use futures contracts to more effectively gain targeted equity exposure from its cash positions.The Fund is non-diversified and may invest a greater percentage of its assets in a particular issuer or group of issuers than a diversified fund would.The Fund will not invest more than 25% of the value of its total assets in the securities of companies conducting their principal business activities in the same industry, except that, to the extent that an industry represents 20% or more of the Fund’s benchmark at the time of investment, the Fund may invest up to 35% of its total assets in that industry.Many of the equity securities in the Fund’s portfolio will be technology companies or companies that rely heavily on technological advances.Investment Process: In managing the Fund, the adviser employs a fundamental data science enabled investment approach that combines research, data insights, and risk management. The adviser defines data science as the discipline of extracting useful insights from collections of information, and the adviser utilizes the insights as a part of its investment process. The adviser utilizes proprietary techniques to process, analyze, and combine a wide variety of information, including the adviser’s multi-decade history of proprietary fundamental research, company financial statements, and a variety of other data sources that the adviser finds relevant to conducting fundamental analysis. The adviser combines insights derived from these sources to forecast the financial prospects of each security, also known as fundamental analysis. Alongside its own insights, the Fund’s portfolio management team uses the forecasts developed through data science techniques to help to identify securities that are priced favorably relative to their associated levels of risk. The Fund’s portfolio management team then constructs a portfolio that seeks to maximize expected future financial performance while controlling for key risks to the underlying companies’ businesses identified by the adviser’s analysis. The adviser assesses key risks by analyzing potential events or conditions that may have a negative impact on the adviser’s valuation of a particular security. Such key risks may include, but are not limited to, sensitivity to changes in macroeconomic conditions, competitive risks from existing companies or new entrants, and operational risks related to the companies’ business models. The adviser continuously evaluates the efficacy of the sources of information included within the investment process, and seeks to identify new data sources that will be additive to the adviser’s forecasts and portfolio construction.As part of its investment process, the adviser seeks to assess the impact of environmental, social and governance (ESG) factors on many issuers in the universe in which the Fund may invest. The adviser’s assessment is based on an analysis of key opportunities and risks across industries to seek to identify financially material issues with respect to the Fund’s investments in securities and ascertain key issues that merit engagement with issuers. These assessments may not be conclusive, and securities of issuers that may be negatively impacted by such factors may be purchased and retained by the Fund, while the Fund may divest or not invest in securities of issuers that may be positively impacted by such factors.The adviser may sell a security for several reasons. A security may be sold due to a change in the company’s fundamentals or if the adviser believes the security is no longer attractively valued relative to its associated levels of risk. Investments may also be sold if the adviser identifies a stock that it believes offers a better investment opportunity.
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LCDS - Performance

Return Ranking - Trailing

Period LCDS Return Category Return Low Category Return High Rank in Category (%)
YTD N/A N/A N/A N/A
1 Yr N/A N/A N/A N/A
3 Yr N/A* N/A N/A N/A
5 Yr N/A* N/A N/A N/A
10 Yr N/A* N/A N/A N/A

* Annualized

Return Ranking - Calendar

Period LCDS Return Category Return Low Category Return High Rank in Category (%)
2023 N/A N/A N/A N/A
2022 N/A N/A N/A N/A
2021 N/A N/A N/A N/A
2020 N/A N/A N/A N/A
2019 N/A N/A N/A N/A

Total Return Ranking - Trailing

Period LCDS Return Category Return Low Category Return High Rank in Category (%)
YTD N/A N/A N/A N/A
1 Yr N/A N/A N/A N/A
3 Yr N/A* N/A N/A N/A
5 Yr N/A* N/A N/A N/A
10 Yr N/A* N/A N/A N/A

* Annualized

Total Return Ranking - Calendar

Period LCDS Return Category Return Low Category Return High Rank in Category (%)
2023 N/A N/A N/A N/A
2022 N/A N/A N/A N/A
2021 N/A N/A N/A N/A
2020 N/A N/A N/A N/A
2019 N/A N/A N/A N/A

LCDS - Holdings

Concentration Analysis

LCDS Category Low Category High LCDS % Rank
Net Assets 12.3 M N/A N/A N/A
Number of Holdings N/A N/A N/A N/A
Net Assets in Top 10 N/A N/A N/A N/A
Weighting of Top 10 N/A N/A N/A N/A

Top 10 Holdings

Asset Allocation

Weighting Return Low Return High LCDS % Rank
Stocks 		0.00% N/A N/A N/A
Preferred Stocks 		0.00% N/A N/A N/A
Other 		0.00% N/A N/A N/A
Convertible Bonds 		0.00% N/A N/A N/A
Cash 		0.00% N/A N/A N/A
Bonds 		0.00% N/A N/A N/A

LCDS - Expenses

Operational Fees

LCDS Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.30% N/A N/A N/A
Management Fee 0.30% N/A N/A N/A
12b-1 Fee N/A N/A N/A N/A
Administrative Fee N/A N/A N/A N/A

Sales Fees

LCDS Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A N/A N/A N/A
Deferred Load N/A N/A N/A N/A

Trading Fees

LCDS Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A N/A N/A 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.

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

LCDS - Distributions

Dividend Yield Analysis

LCDS Category Low Category High LCDS % Rank
Dividend Yield 0.53% N/A N/A N/A

Dividend Distribution Analysis

LCDS Category Low Category High Category Mod
Dividend Distribution Frequency None

Net Income Ratio Analysis

LCDS Category Low Category High LCDS % Rank
Net Income Ratio N/A N/A N/A N/A

Capital Gain Distribution Analysis

LCDS Category Low Category High Capital Mode
Capital Gain Distribution Frequency

Distributions History

View More +

LCDS - Fund Manager Analysis

Tenure Analysis

Category Low Category High Category Average Category Mode
N/A N/A N/A N/A

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