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Cboe US - Nasdaq Real Time Price USD

NEOS Real Estate High Income ET (IYRI)

46.36 +0.02 (+0.04%)
At close: October 30 at 4:00:00 PM EDT
46.00 -0.36 (-0.78%)
After hours: October 30 at 6:21:11 PM EDT
Trade IYRI on Coinbase

ETF Summary

The fund is an actively-managed ETF that seeks to achieve its investment objective by (i) investing, under normal circumstances, at least 80% of its net assets, plus borrowings for investment purposes, in securities of real estate companies, which the managers define as those companies included in the Dow Jones U.S. Real Estate Capped Index (the “Index”); and (ii) utilizing a call options strategy to provide high monthly income, which primarily consists of writing (selling) call options on one or more ETFs that seek to track the index. The fund is non-diversified.

ETF Overview

Category Derivative Income
Fund Family Neos Funds
Net Assets 298.2M
YTD Daily Total Return 4.38%
Yield 2.85%
Legal Type Exchange Traded Fund

ETF Operations

Attributes IYRI Category Average
Annual Report Expense Ratio (net)
0.68% 0.88%
Holdings Turnover
0.00% 68.08%
Total Net Assets
37,779.30 37,779.30

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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