Congratulations to the following faculty members on their recently published research:
Huaizhi Chen
Assistant Professor of Finance
“Don't Take Their Word for It: The Misclassification of Bond Mutual Funds” (The Journal of Finance)
We show a significant gap between how bond fund managers classify their credit risks and their actual credit risks. This phenomenon results in the pervasive misclassification of bond mutual funds."
Assistant Professor of Finance
“Don't Take Their Word for It: The Misclassification of Bond Mutual Funds” (The Journal of Finance)
We show a significant gap between how bond fund managers classify their credit risks and their actual credit risks. This phenomenon results in the pervasive misclassification of bond mutual funds."
John Donovan
Assistant Professor of Accountancy
“Measuring Credit Risk Using Qualitative Disclosure” (Review of Accounting Studies)
We use machine learning to create a measure of credit risk using information disclosed in conference calls. In out-of-sample tests, we find that our measure improves the ability to predict bankruptcies, interest spreads, and credit rating downgrades.
Rob Easley
John W. Berry Sr. Department Chair and Professor of IT, Analytics, and Operations
“Data-Driven Sports Ticket Pricing for Multiple Sales Channels with Heterogeneous Customers” (Manufacturing & Service Operations Management)
In this project, we develop a framework that estimates the demand of season tickets and single-game tickets and optimizes prices by taking into account the multiple sales channels which run sequentially and aim to target different customer groups.
Xinxue (Shawn) Qu
Assistant Professor of IT, Analytics, and Operations
"Predicting Upgrade Timing for Successive Product Generations: An Exponential-Decay Proportional Hazard Model" (Production and Operations Management)
The presence of successive product generations renders traditional diffusion models unsuitable for characterizing consumers’ upgrade decisions. This research proposes a parsimonious and interpretable model to predict consumers’ time to product upgrade based on their previous adoption and usage experience.
Adam Wowak
Associate Professor of Management & Organization
“Corporate Directors as Heterogeneous Network Pipes: How Director Political Ideology Affects the Interorganizational Diffusion of Governance Practices” (Strategic Management Journal)
This study shows that the political ideologies of interlocking directors (i.e., directors who simultaneously serve on multiple boards) influence their relative propensities to act as conduits in the spread of governance practices from firm to firm.
Assistant Professor of Accountancy
“Measuring Credit Risk Using Qualitative Disclosure” (Review of Accounting Studies)
We use machine learning to create a measure of credit risk using information disclosed in conference calls. In out-of-sample tests, we find that our measure improves the ability to predict bankruptcies, interest spreads, and credit rating downgrades.
Rob Easley
John W. Berry Sr. Department Chair and Professor of IT, Analytics, and Operations
“Data-Driven Sports Ticket Pricing for Multiple Sales Channels with Heterogeneous Customers” (Manufacturing & Service Operations Management)
In this project, we develop a framework that estimates the demand of season tickets and single-game tickets and optimizes prices by taking into account the multiple sales channels which run sequentially and aim to target different customer groups.
Xinxue (Shawn) Qu
Assistant Professor of IT, Analytics, and Operations
"Predicting Upgrade Timing for Successive Product Generations: An Exponential-Decay Proportional Hazard Model" (Production and Operations Management)
The presence of successive product generations renders traditional diffusion models unsuitable for characterizing consumers’ upgrade decisions. This research proposes a parsimonious and interpretable model to predict consumers’ time to product upgrade based on their previous adoption and usage experience.
Adam Wowak
Associate Professor of Management & Organization
“Corporate Directors as Heterogeneous Network Pipes: How Director Political Ideology Affects the Interorganizational Diffusion of Governance Practices” (Strategic Management Journal)
This study shows that the political ideologies of interlocking directors (i.e., directors who simultaneously serve on multiple boards) influence their relative propensities to act as conduits in the spread of governance practices from firm to firm.
Thank you to Huaizhi, John, Rob, Shawn and Adam for your contributions.
In Notre Dame,
Martijn
Martijn