Finding 5804Emerging EvidenceValidation V0
Presenting a pioneering multi-modal dataset, this paper focuses on Indian earnings calls, diverging from US-centric literature. By integrating textual, visual, and tabular data to predict stock prices, it introduces innovative fusion techniques that advance AI-based forecasting, making the work both original and compelling, with significant implications for global finance research.
78%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting78% linkage confidence
Presenting a pioneering multi-modal dataset, this paper focuses on Indian earnings calls, diverging from US-centric literature. By integrating textual, visual, and tabular data to predict stock prices, it introduces innovative fusion techniques that advance AI-based forecasting, making the work both original and compelling, with significant implications for global finance research.
key_findings bullet 4 · key_findings
Inspect source: MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.