Investment
ML Models Need Better Training Data: The GenAI Solution
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As complex ML models become more prevalent in investment management, their tendency to overfit to specific historical conditions poses a growing risk to investment outcomes.
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Carlsson-Szlezak and Swartz attempt to add fresh thinking on framing macro shocks that may often prove to be false alarms. Any general reader will obtain some key fresh insights with this work, and CFA charterholders will be offered an alternative to the conventional Wall Street approach to macro discussions.
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New technologies always face resistance, but demographic shifts imply there is a fierce tailwind behind crypto adoption, politically, economically, and financially.
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Do the products and services of the companies you invest in create negative or positive material outcomes?
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Investing In Learning