Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sarmah, Bhaskarjit"'
Autor:
Sarmah, Bhaskarjit, Hall, Benika, Rao, Rohan, Patel, Sunil, Pasquali, Stefano, Mehta, Dhagash
Extraction and interpretation of intricate information from unstructured text data arising in financial applications, such as earnings call transcripts, present substantial challenges to large language models (LLMs) even using the current best practi
Externí odkaz:
http://arxiv.org/abs/2408.04948
Autor:
Li, Mingshu, Sarmah, Bhaskarjit, Desai, Dhruv, Rosaler, Joshua, Bhagat, Snigdha, Sommer, Philip, Mehta, Dhagash
Due to the dynamic nature of financial markets, maintaining models that produce precise predictions over time is difficult. Often the goal isn't just point prediction but determining uncertainty. Quantifying uncertainty, especially the aleatoric unce
Externí odkaz:
http://arxiv.org/abs/2408.02355
Autor:
Rosaler, Joshua, Desai, Dhruv, Sarmah, Bhaskarjit, Vamvourellis, Dimitrios, Onay, Deran, Mehta, Dhagash, Pasquali, Stefano
We initiate a novel approach to explain the predictions and out of sample performance of random forest (RF) regression and classification models by exploiting the fact that any RF can be mathematically formulated as an adaptive weighted K nearest-nei
Externí odkaz:
http://arxiv.org/abs/2310.12428
For a financial analyst, the question and answer (Q\&A) segment of the company financial report is a crucial piece of information for various analysis and investment decisions. However, extracting valuable insights from the Q\&A section has posed con
Externí odkaz:
http://arxiv.org/abs/2310.10760
Understanding non-linear relationships among financial instruments has various applications in investment processes ranging from risk management, portfolio construction and trading strategies. Here, we focus on interconnectedness among stocks based o
Externí odkaz:
http://arxiv.org/abs/2207.07183