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CDAR

Leading research at the intersection of financial economics and data science.

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ARTICLES

Portfolio optimization via strategy-specific eigenvector shrinkage by Lisa Goldberg, Hubeyb Gurdogan, and Alec Kercheval
Ownership of ESG Characteristics by Mark Bateman and Lisa Goldberg
Sustainable investing and the cross-section of returns and maximum drawdown by Lisa Goldberg and Saad Mouti
2022-02: A propagation model to quantify business interruption losses in supply chain networks by Hubeyb Gurdogan, Nariman Maddah, Reyhaneh Mohammadi, Elena Pesce, Alicia Montoya, Jeffrey Bohn, and Katherine Dalis
2022-01: CENTRAL BANK DIGITAL CURRENCIES (CBDCs): The coming of national e-currencies by Jeffrey Bohn, Gilles Papadopoulos, and Jurg Unger
Is Index Concentration an Inevitable Consequence of Market-Capitalization Weighting? by Lisa Goldberg, Ananth Madhavan, Harrison Selwitz, and Alex Shkolnik
On Existence Of Berk-Nash Equilibria In Misspecified Markov Decision Processes With Infinite Spaces by Robert Anderson, Haosui Duanmu, Aniruddha Ghosh, and M. Ali Khan
James-Stein for the Leading Eigenvector by Lisa Goldberg and Alec Kercheval
The Dispersion Bias by Lisa Goldberg, Alex Papanicolaou, and Alex Shkolnik
A synthesis of pathways linking diet, metabolic risk and cardiovascular disease: a framework to guide further research and approaches to evidence-based practice by Marjorie Lima do Vale, Luke Buckner, Claudia Gabriela Mitrofan, Claudia Raulino Tramontt, Sento Kai Kargbo, Ali Khalid, Sammyia Ashraf, Saad Mouti, Xiaowu Dai, David Unwin, Jeffrey Bohn, Lisa Goldberg, Rajna Golubic, and Sumantra Ray
Sustainable Investing From a Practioner's Viewpoint: What's in Your ESG Portfolio? by Jeffrey Bohn, Lisa Goldberg, and Simge Ulucam
James-Stein estimation of the first principal component by Alex Shkolnik
Multiple Anchor Point Shrinkage for the Sample Covariance Matrix by Hubeyb Gurdogan and Alec Kercheval
High Dimensional Decision Making, Upper and Lower Bounds by Farzad Pourbabaee
A resampling approach for causal inference on novel two-point time-series with application to identify risk factors for type-2 diabetes and cardiovascular disease, by Xiaowu Dai, Saad Mouti, Marjorie Lima Do Vale, Sumantra Ray, Jeffrey Bohn, and Lisa Goldberg
The Implied Futures Financing Rate, by Nicholas Gunther, Robert Anderson, Lisa Goldberg, and Alex Papanicolau
Tax-Rate Arbitrage: Realization of Long-Term Gains to Enable Short-Term Loss Harvesting, by Lisa Goldberg, Taotao Cai, and Pete Hand
Katrine Paaby Joensen and Anders Christjansen of Innovation Centre Denmark talk about the greening of corporate America
Computers Cannot Understand the Coronavirus by Kathleen Houssels and Stephen Dean
Hot or Not? A Nonparametric Formulation of the Hot Hand in Baseball
The Sustaining Thread of Mathematics: An Interview with Lisa Goldberg
Is There ESG Alpha? A Marketing Question in Research Clothing by Lisa Goldberg

CURRENT EVENTS

SEM217: Emmanouil Platanakis, University of Bath: When Bayes-Stein Meets Machine Learning: A Generalized Approach for Portfolio Optimization

Tuesday, October 3rd @ 11:00-12:30 PM via Zoom

The Bayes-Stein model is widely used to tackle parameter uncertainty in the classical Markowitz mean-variance portfolio optimization framework. In practice, however, it suffers from estimation errors and often fails to outperform the naive 1/N asset allocation rule. To address this, we develop a generalized counterpart that leverages machine learning (ML) techniques to estimate some core model parameters.