{
    "fund_name": "iShares Global High Yield Corp Bond CHF Hedged UCITS ETF (Dist)",
    "type": "ETF",
    "ucits": true,
    "leverage": false,
    "derivatives": true,
    "swaps": false,
    "inverse": false,
    "replication_method": "physical",
    "complex_factors": [
        "FX forward contracts for hedging",
        "High yield corporate bonds (sub-investment grade)",
        "Counterparty risk from derivatives"
    ],
    "classification": "non-complex",
    "supporting_data": "The ETF primarily uses physical replication to track its benchmark index, which consists of high-yield corporate bonds. While it employs FX forward contracts for currency hedging and may use derivatives for efficient portfolio management, these are not used for leverage or to create a complex payoff structure. The fund's risk profile is driven by the underlying high-yield bonds rather than derivative strategies. The KIID and factsheet indicate that derivatives are used for hedging and optimization rather than as a core investment strategy, and the fund does not exhibit features like leverage, inverse exposure, or structured products that would typically classify it as complex under MiFID II.",
    "confidence": 85,
    "risk_level": "medium",
    "counter_argument": "Some might argue that the use of FX forwards and potential derivative instruments could introduce complexity. However, these are standard tools for currency hedging and efficient portfolio management in bond ETFs, and the fund's overall structure remains straightforward and transparent. The high-yield nature of the bonds is a risk factor but does not inherently make the product complex under MiFID II rules.",
    "final_reasoning": "The fund is classified as non-complex because it primarily uses physical replication, and any derivatives are employed for hedging or optimization rather than as a core or complex strategy. The risks are largely driven by the underlying high-yield bonds, which are clearly disclosed, and the fund does not exhibit features like leverage or structured payoffs that would trigger a complex classification."
}