Search Results for author: Stefano Pasquali

Found 8 papers, 0 papers with code

Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach

no code implementations19 Oct 2023 Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali

We initiate a novel approach to explain the out of sample performance of random forest (RF) models by exploiting the fact that any RF can be formulated as an adaptive weighted K nearest-neighbors model.

Towards reducing hallucination in extracting information from financial reports using Large Language Models

no code implementations16 Oct 2023 Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali

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.

Hallucination Optical Character Recognition +2

Company Similarity using Large Language Models

no code implementations15 Aug 2023 Dimitrios Vamvourellis, Máté Toth, Snigdha Bhagat, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

Identifying companies with similar profiles is a core task in finance with a wide range of applications in portfolio construction, asset pricing and risk attribution.

Quantifying Outlierness of Funds from their Categories using Supervised Similarity

no code implementations14 Aug 2023 Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali

Mutual fund categorization has become a standard tool for the investment management industry and is extensively used by allocators for portfolio construction and manager selection, as well as by fund managers for peer analysis and competitive positioning.

Management Metric Learning +1

Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning

no code implementations14 Jul 2022 Bhaskarjit Sarmah, Nayana Nair, Dhagash Mehta, Stefano Pasquali

In particular, the algorithm compresses the network into a lower dimensional continuous space, called an embedding, where pairs of nodes that are identified as similar by the algorithm are placed closer to each other.

BIG-bench Machine Learning Management

Learning Mutual Fund Categorization using Natural Language Processing

no code implementations11 Jul 2022 Dimitrios Vamvourellis, Mate Attila Toth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

Categorization of mutual funds or Exchange-Traded-funds (ETFs) have long served the financial analysts to perform peer analysis for various purposes starting from competitor analysis, to quantifying portfolio diversification.

Multi-class Classification

Supervised similarity learning for corporate bonds using Random Forest proximities

no code implementations10 Jul 2022 Jerinsh Jeyapaulraj, Dhruv Desai, Peter Chu, Dhagash Mehta, Stefano Pasquali, Philip Sommer

Financial literature consists of ample research on similarity and comparison of financial assets and securities such as stocks, bonds, mutual funds, etc.

Management Metric Learning

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