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Dong Shu · Yanguang Liu · Huopu Zhang · Mengnan Du
Predicting corporate earnings surprises is a profitable yet challenging task, as accurate forecasts can inform significant investment decisions. However, progress in this domain has been constrained by a reliance on expensive, proprietary, and text-only data, limiting the development of advanced...
Dong Shu · Haoyang Yuan · Yuchen Wang · Yanguang Liu · Huopu Zhang · Mengnan Du
Large vision-language models (LVLMs) have made significant progress in chart understanding. However, financial charts, characterized by complex temporal structures and domain-specific terminology, remain notably underexplored. We introduce FinChart-Bench, the first benchmark specifically focused...
Huopu Zhang · Yanguang Liu · Miao Zhang · Zirui He · Mengnan Du
Predicting earnings surprises through the analysis of earnings conference call transcripts has attracted increasing attention from the financial research community. Conference calls serve as critical communication channels between company executives, analysts, and shareholders, offering valuable...