Year-2020http://repository.iiitd.edu.in/xmlui/handle/123456789/9712026-04-11T22:14:09Z2026-04-11T22:14:09ZMultimodal multi-speaker merger & acquisition (M3A) financial forecasting: a new task, dataset, and neural baselinesGoel, PrakharGoyal, MihirShah, Rajiv Ratn (Advisor)http://repository.iiitd.edu.in/xmlui/handle/123456789/9972022-03-31T22:00:21Z2020-12-01T00:00:00ZMultimodal multi-speaker merger & acquisition (M3A) financial forecasting: a new task, dataset, and neural baselines
Goel, Prakhar; Goyal, Mihir; Shah, Rajiv Ratn (Advisor)
Financial risk prediction is an essential task in today’s financial markets, especially with the disclosure of
important information such as Merger and Acquisition (M&A) calls nowadays. M&A calls often provide
key insights into the confidence levels and agreeability between the different high ranking members of
an organization concerning a merger or acquisition in the form of subtle vocal cues and verbal messages.
Variations in vocal features such as pitch can suggest doubt and a lack of confidence that may discredit
the message spoken. Additionally, information about the speaker of the message can assist the system
in making better predictions. To aid the analysis of M&A calls, we curate a dataset of conference call
transcripts and audios from the past 5 years. We propose strong baseline architectures to accompany
the model that takes advantage of the multimodal multi-speaker input to perform financial forecasting.
Empirical results show the improvement that our architecture gives over existing models.
2020-12-01T00:00:00ZOnline schooling during covid-19 eraWalia, AngelEden, Grace (Advisor)http://repository.iiitd.edu.in/xmlui/handle/123456789/9722022-03-30T22:00:24Z2020-12-01T00:00:00ZOnline schooling during covid-19 era
Walia, Angel; Eden, Grace (Advisor)
2020-12-01T00:00:00Z