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MNA — NYLI Merger Arbitrage ETF

NYLI Merger Arbitrage ETF (ticker: MNA) is a alternatives ETF issued by New York Life tracking IQ Merger Arbitrage Index. It was launched on 2009-11-17.

Live Price$36.5784
Change0.17%
AUM$250.53M
Expense Ratio0.01%
Avg Volume61,394.077

Returns (Total Return)

PeriodReturn
1 Day0.44%
1 Week0.47%
1 Month0.36%
3 Months0.72%
6 Months1.95%
YTD2.26%
1 Year3.68%
3 Years18.61%
5 Years11.00%
10 Years
Since Inception

Top Holdings

#SecuritySymbolWeight
1 DREY INST PREF GOV MM INS N/A 16.43%
2 DREY INST PREF GOV MM INS N/A 16.43%
3 DREY INST PREF GOV MM INS N/A 16.43%
4 DREY INST PREF GOV MM INS N/A 16.43%
5 DREY INST PREF GOV MM INS N/A 15.53%
6 DREY INST PREF GOV MM INS N/A 15.53%
7 DREY INST PREF GOV MM INS N/A 15.53%
8 DREY INST PREF GOV MM INS N/A 15.53%
9 DREY INST PREF GOV MM INS N/A 15.53%
10 DREY INST PREF GOV MM INS N/A 12.21%

Fund Profile

IssuerNew York Life
BrandNew York Life Investments
Asset Classalternatives
StrategyMulti-factor
StructureETF
CategoryHedge Fund
SegmentAlternatives: Hedge Fund Strategies
RegionDeveloped Markets
Index TrackedIQ Merger Arbitrage Index
Inception Date2009-11-17
Tax on DistributionsOrdinary income

Quick Facts

TickerMNA
Full NameNYLI Merger Arbitrage ETF
IssuerNew York Life
Asset Classalternatives
Expense Ratio0.01%
AUM$250.53M
Inception2009-11-17
Index TrackedIQ Merger Arbitrage Index

Frequently Asked Questions

What does MNA track?

MNA (NYLI Merger Arbitrage ETF) tracks IQ Merger Arbitrage Index, a alternatives benchmark.

What is the expense ratio of MNA?

MNA has an expense ratio of 0.01% per year.

What is the AUM of MNA?

MNA has approximately $250.53M in assets under management.

Does MNA pay a dividend?

MNA distributes income according to its prospectus (Ordinary income tax treatment). Check the dividend history tab for ex-dividend dates and yield.

Who issues MNA?

MNA is issued by New York Life under the New York Life Investments brand, launched on 2009-11-17.

Open the interactive MNA dashboard for charts, historical fund flows, holdings breakdown and seasonality patterns.