Our market update is a collaboration between the KraneShares internal research department and our industry-leading subadvisors and partners. Our research covers global growth themes in both public and private markets.
Machine learning is a part of artificial intelligence that creates algorithms to improve from data without explicit programming. The Underlying Index depends on a machine learning model using various inputs, including historical data. If the model fails, the Index and Fund may lose value. Biases or errors in the model or data can lead to poor selections and may not be quickly corrected, harming the Fund. Additionally, machine learning models may overfit historical data and struggle with unexpected market conditions, negatively impacting the Index and the Fund.
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