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NYSE - Nasdaq Real Time Price USD

TCW Artificial Intelligence ETF (AIFD)

25.34
+0.73
+(2.98%)
As of 10:25:05 AM EDT. Market Open.

ETF Summary

The fund will invest, under normal circumstances, at least 80% of the value of its net assets, plus the amount of any borrowings for investment purposes, in securities of businesses that the Adviser has identified, through annual reports, press releases and other public statements by an issuer, as well as the Adviser’s due diligence process, as using, or as having demonstrated an intent to use, predictive or generative AI in a way that is or has the potential to deliver a material improvement in the company’s financial condition. The fund is non-diversified.

ETF Overview

Category Technology
Fund Family TCW ETF
Net Assets 53.76M
YTD Daily Total Return -15.98%
Yield 0.00%
Legal Type Exchange Traded Fund

ETF Operations

Attributes AIFD Category Average
Annual Report Expense Ratio (net) 0.75% 0.92%
Holdings Turnover 25.00% 69.92%
Total Net Assets 267,261.22 267,261.22

Morningstar Style Box

Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund. Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund.

Morningstar Category

While the investment objective stated in a fund's prospectus may or may not reflect how the fund actually invests, the Morningstar category is assigned based on the underlying securities in each portfolio. Morningstar categories help investors and investment professionals make meaningful comparisons between funds. The categories make it easier to build well-diversified portfolios, assess potential risk, and identify top-performing funds. We place funds in a given category based on their portfolio statistics and compositions over the past three years. If the fund is new and has no portfolio history, we estimate where it will fall before giving it a more permanent category assignment. When necessary, we may change a category assignment based on recent changes to the portfolio.

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