Finding 2494Emerging EvidenceValidation V0
Offers a testable, state-dependent mechanism: attention-driven information backlogs link YouTube news pressure to subsequent returns and volatility. Innovatively measures supply (video duration) and demand (views) from identical channels, resolving identification. Introduces geometric-decay backlogs with a 1--23-day predictability window, yielding aggregate-only effects, informing asset pricing and mid- to low-frequency trading practice.
75%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting75% linkage confidence
Offers a testable, state-dependent mechanism: attention-driven information backlogs link YouTube news pressure to subsequent returns and volatility. Innovatively measures supply (video duration) and demand (views) from identical channels, resolving identification. Introduces geometric-decay backlogs with a 1--23-day predictability window, yielding aggregate-only effects, informing asset pricing and mid- to low-frequency trading practice.
key_findings bullet 4 · key_findings
Inspect source: Attention Deficits and Asset Prices: A Theory of Information Backlogs →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.