Quant thesis: In February-March, spikes in spring break travel searches lead actual bookings by 1-2 weeks, signaling near-term surge in travel/hospitality demand.
Plain English: Uses attention, search, or sentiment data to test whether crowd behavior can predict sector ETF movement.
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In February-March, spikes in spring break travel searches lead actual bookings by 1-2 weeks, signaling near-term surge in travel/hospitality demand.
Uses attention, search, or sentiment data to test whether crowd behavior can predict sector ETF movement.
Uses attention, search, or sentiment data to test whether crowd behavior can predict sector ETF movement.
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