Temporal relational graph convolutional network approach to financial performance prediction

Temporal relational graph convolutional network approach to financial performance prediction

Accurately predicting financial entity performance remains a challenge due to the dynamic nature of financial markets and vast unstructured textual data. Financial knowledge graphs (FKGs) offer a structured representation for tackling this problem by representing complex financial relationships and...

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Bibliographic Details
Main Authors: JEYARAMAN BRINDHA PRIYADARSHINI, DAI, Bing Tian, FANG, Yuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
knowledge graph
finance
BERT
tweets
text
LSTM
RGCN
news
NLP
commercial entities
concept entities
Databases and Information Systems
Finance and Financial Management
Online Access:https://ink.library.smu.edu.sg/sis_research/9618
https://ink.library.smu.edu.sg/context/sis_research/article/10618/viewcontent/make_06_00113_pvoa_cc_by.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9618
https://ink.library.smu.edu.sg/context/sis_research/article/10618/viewcontent/make_06_00113_pvoa_cc_by.pdf

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