This is an actively managed exchange-traded fund that selects stocks showing value characteristics from developed-market equities outside the US and Canada, seeking income and capital growth. Rather than relying on index replication, it uses the output of a quantitative artificial intelligence model in its investment decisions.

It suits long-term investors who want to add exposure to developed-market value stocks outside the US to their portfolios and who can tolerate the volatility of active management based on a quantitative model.

This is an actively managed ETF run by WisdomTree.

The fund builds its portfolio from candidates identified by a quantitative artificial intelligence model within a universe of international developed-market stocks that focuses on value characteristics. It does not mechanically replicate index weightings; instead, its process incorporates both value metrics and company-specific characteristics.

• Investment scope centered on developed-market value stocks outside the US
• Active selection using a quantitative artificial intelligence model

Assets under management (AUM) stand at $58.0M, and the total expense ratio is 0.58% per year.

As a micro-cap-sized fund, the AIVI ETF may see trading costs affected by trading volume and bid-ask spreads, so it is worth checking order types and execution conditions as well. The use of a quantitative model offers selection criteria different from those of index-tracking products, but there remains a possibility that the model's results fall short of expectations.

Performance can vary with market conditions for developed-market value stocks outside the US, currency movements, and economic trends in individual countries. In phases when preference for value stocks persists, the fund may be relatively supported, but volatility may widen in growth-led markets or risk-off phases.

Fund flows into international equity products can be affected by global risk appetite, exchange rates, regional monetary policy, and geopolitical variables. Because this fund combines active management with quantitative selection, its results and distribution policy need to be monitored continuously, compared with simple index-tracking products.

The fund is characterized by exposure to developed-market value stocks outside the US and the use of a quantitative model, but investors must also consider reliance on the model, international market variables, and trading conditions.

The DFIV ETF and AVIV ETF listed in the table are comparison candidates offering international value exposure, while the DFEV ETF and AVES ETF include emerging-market value styles and therefore differ in regional scope. The SFGV ETF is also a comparison for value-stock approaches, but each product differs in expense level, assets under management, management approach, and country weightings. The AIVI ETF can be compared mainly on the basis of its active management using a quantitative artificial intelligence model, and no direct substitute ticker could be identified in the data provided for separate citation.

Before investing, you should confirm whether the fund's exposure to developed-market value stocks outside the US fits your current asset allocation and whether you understand the characteristics of active management based on a quantitative model. In particular, it is necessary to check trading conditions resulting from its micro-cap size, the quarterly distribution structure, and currency risk together.

International securities can be affected by exchange rates, policy, economic conditions, and geopolitical variables, and there is also a possibility that value stocks remain out of favor in the market for an extended period. In addition, if the quantitative model's assumptions or data quality differ from expectations, the holdings and performance may develop unfavorably.

The WisdomTree International AI Enhanced Value Fund is a product that investors seeking to add quantitative selection to developed-market value stocks outside the US may consider. However, investors should check whether it tracks an index, international market risk, micro-cap trading conditions, and the quarterly distribution structure against their portfolio objectives.