Search Results for author: Sudheer Chava

Found 10 papers, 5 papers with code

HYPHEN: Hyperbolic Hawkes Attention For Text Streams

1 code implementation ACL 2022 Shivam Agarwal, Ramit Sawhney, Sanchit Ahuja, Ritesh Soun, Sudheer Chava

Analyzing the temporal sequence of texts from sources such as social media, news, and parliamentary debates is a challenging problem as it exhibits time-varying scale-free properties and fine-grained timing irregularities.

Stock Price Prediction

Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis

no code implementations18 Feb 2024 Agam Shah, Arnav Hiray, Pratvi Shah, Arkaprabha Banerjee, Anushka Singh, Dheeraj Eidnani, Bhaskar Chaudhury, Sudheer Chava

In this paper, we investigate the influence of claims in analyst reports and earnings calls on financial market returns, considering them as significant quarterly events for publicly traded companies.

Shifting Cryptocurrency Influence: A High-Resolution Network Analysis of Market Leaders

no code implementations31 Jul 2023 Arnav Hiray, Pratvi Shah, Vishwa Shah, Agam Shah, Sudheer Chava, Mukesh Tiwari

We use novel hourly-resolution data and Kendall's Tau correlation to explore the interconnectedness of the cryptocurrency market.

Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks

1 code implementation26 May 2023 Agam Shah, Sudheer Chava

Recently large language models (LLMs) like ChatGPT have shown impressive performance on many natural language processing tasks with zero-shot.


Abnormal Trading Detection in the NFT Market

no code implementations25 May 2023 Mingxiao Song, Yunsong Liu, Agam Shah, Sudheer Chava

The Non-Fungible-Token (NFT) market has experienced explosive growth in recent years.


Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis

1 code implementation13 May 2023 Agam Shah, Suvan Paturi, Sudheer Chava

Monetary policy pronouncements by Federal Open Market Committee (FOMC) are a major driver of financial market returns.

Benchmarking Machine Learning Models to Predict Corporate Bankruptcy

no code implementations22 Dec 2022 Emmanuel Alanis, Sudheer Chava, Agam Shah

Using a comprehensive sample of 2, 585 bankruptcies from 1990 to 2019, we benchmark the performance of various machine learning models in predicting financial distress of publicly traded U. S. firms.


WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

no code implementations31 Oct 2022 Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang

To this end, we contribute the Financial Language Understanding Evaluation (FLUE), an open-source comprehensive suite of benchmarks for the financial domain.

FLUE Language Modelling

Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models

1 code implementation NAACL 2022 Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava

Further, we develop a set of sequence-to-sequence hyperbolic models suited to this multi-span identification task based on the power-law dynamics of cryptocurrencies and user behavior on social media.

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