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Behzad Azadie Faraz

Sharif University of Technology

Tehran

Iran

University of Toronto - RiskLab

1 Spadina Crescent

Toronto, ON M5S 3G3

Canada

SCHOLARLY PAPERS

6

DOWNLOADS

2,165

TOTAL CITATIONS

1

Scholarly Papers (6)

1.

Towards Automating Causal Discovery in Financial Markets and Beyond

Number of pages: 36 Posted: 24 Jan 2024
University of Toronto, University of Montreal - Department of Mathematics and Statistics, Sharif University of Technology, University of Montreal - Department of Mathematics and Statistics and University of Toronto
Downloads 1,819 (23,910)
Citation 1

Abstract:

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Machine Learning, Finance, Investment Management, Factor Investing, Large Language Models, NLP, LLM, Causal Discovery, Causal Modelling

2.

Data to DAGs to Dividends: A Scalable, LLM-Driven Pipeline for Causal Inference in Sustainability

Number of pages: 51 Posted: 01 Dec 2025
Luis A. Seco, Luis Ganssloser and Behzad Azadie Faraz
University of Toronto, Technical University of Munich and Sharif University of Technology
Downloads 120 (617,542)

Abstract:

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Causal Discovery, Causal Inference, LLM, Sustainability, Statistics

3.

Portfolio Optimization under Shifted and Markov-Modulated Shifted Wishart Processes

Number of pages: 36 Posted: 03 Jun 2025
Hamid R. Arian, Behzad Azadie Faraz and Marcos Escobar-Anel
York University, Sharif University of Technology and University of Western Ontario
Downloads 79 (823,616)

Abstract:

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Markov Modulated Wishart Process, Shifted Wishart Process, Stochastic Correlation, Portfolio Optimization, Expected Utility, CRRA utility

4.

Methane Emission Drivers and Baseline Calculations

Number of pages: 17 Posted: 28 Jan 2025
Jennifer Yuntong Zhang, Behzad Azadie Faraz and Luis A. Seco
University of Toronto, Sharif University of Technology and University of Toronto
Downloads 62 (961,006)

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Methane Emission, Environment, Sustainability, and Governance (ESG), Machine Learning, Feature Importance

5.

Methane Emission Index

Number of pages: 17 Posted: 21 Nov 2024
Yuntong Zhang, Behzad Azadie Faraz and Luis A. Seco
University of Toronto, Sharif University of Technology and University of Toronto
Downloads 54 (1,031,043)

Abstract:

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Methane Emission, Environment, Sustainability, Governance, ESG, Machine Learning, Feature Importance, Benchmarking

6.

Data to DAGs to Dividends: A Scalable, LLM-Driven Pipeline for Causal Inference in

Number of pages: 51 Posted: 14 Jan 2026
Luis Ganssloser, Luis A. Seco and Behzad Azadie Faraz
Technical University of Munich, University of Toronto and Sharif University of Technology
Downloads 31 (1,332,057)

Abstract:

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Causal Discovery, Causal Inference, LLM, Statistical Algorithms, Sustainability