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CU9

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1d
1w
1m

Analysis and statistics

  • Open
    378.7512$
  • Previous Close
    378.8184$
  • 52 Week Change
    --
  • Day Range
    -0.07$
  • 52 Week High/Low
    --
  • Dividend Per Share
    --
  • Market cap
    --$
  • EPS
    --
  • Beta
    --
  • Volume
    --

About

CU9.PA refers to the Amundi Index MSCI Europe SRI UCITS ETF DR. This is an Exchange Traded Fund (ETF) listed on the Euronext Paris stock exchange. It aims to replicate the performance of the MSCI Europe SRI Filtered PAB Index, which focuses on large and mid-cap companies in developed European countries with high environmental, social, and governance (ESG) ratings and excludes companies involved in controversial activities. The fund provides investors with exposure to a diversified portfolio of sustainable and responsible European equities.
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Factors

Underlying Asset Performance: CU9.PA tracks an index. The ETF's price closely mirrors the performance of the assets within that index.

Supply and Demand: High demand relative to supply will increase the ETF's price, while increased supply and reduced demand will decrease it.

Net Asset Value (NAV): NAV is the total value of the ETF's holdings, divided by the number of outstanding shares. Market price tends to track NAV.

Investor Sentiment: Overall market optimism or pessimism can influence the demand for ETFs like CU9.PA, impacting its price regardless of underlying fundamentals.

Expense Ratio: While the expense ratio doesn't directly affect the *price*, higher expenses can make it less attractive compared to similar, lower-cost ETFs, indirectly affecting demand.

Currency Fluctuations: If the ETF holds assets denominated in a currency other than the trading currency, exchange rate changes will impact the ETF's price.

Index Reconstitution: Changes to the underlying index (additions or deletions of constituents) can lead to price adjustments as the ETF rebalances its portfolio.

Market Liquidity: Higher trading volumes and tighter bid-ask spreads usually indicate greater liquidity, leading to more efficient price discovery and potentially less price volatility.

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