{
    "ucits": true,
    "type": "ETF",
    "leverage": false,
    "derivatives": true,
    "swaps": false,
    "inverse": false,
    "replication_method": "physical",
    "complex_factors": "Use of derivatives for hedging and investment purposes; exposure to structured green bonds",
    "classification": "complex",
    "supporting_data": "The Franklin Sustainable Euro Green Sovereign UCITS ETF is a UCITS-compliant ETF investing primarily in European sovereign green bonds, including bonds with fixed or floating rates issued by sovereign, sub-sovereign, supranational, and agency entities. The fund may use derivatives for hedging, efficient portfolio management, and investment purposes, which indicates derivatives are integral to the strategy rather than solely for EPM. The ETF invests in sustainable bonds, some of which may be structured or have complex features related to green bond frameworks. Although the replication method is physical (holding bonds), the use of derivatives beyond mere EPM and the exposure to structured green bonds introduce complexity. According to MiFID II Article 25(4)(a)(iv) and Article 57, UCITS ETFs are presumed non-complex unless they embed derivatives integral to the investment strategy or invest in structured products that alter risk profiles. The presence of derivatives for investment purposes and the nature of the underlying bonds (green sovereign bonds with possible complex features) mean the ETF does not meet all Article 57 criteria for non-complex instruments. ESMA guidance and CESR advice confirm that UCITS ETFs using derivatives as part of their investment strategy or investing in structured products like CLOs or complex bonds are classified as complex. Therefore, this ETF is classified as complex under MiFID II, requiring an appropriateness assessment for retail investors to ensure understanding of risks such as counterparty risk, derivative exposure, and sustainability-related risks. No significant leverage beyond UCITS limits is noted, and replication is physical, but the derivative use and structured bond exposure drive the complexity classification."
}