Research

My research examines corporate disclosure, auditing, and cybersecurity risk using quantitative archival methods, large-scale textual analysis, and machine learning.

Job market paper Under review at Management Science

‘Learning to Talk’ Cybersecurity: Evidence from SEC Item 1C Mandate

With Mark Aleksanyan, Charalampos Stasinakis, and Arpine Maghakyan · First author

Examines how mandatory cybersecurity disclosure under SEC Item 1C changes the way firms communicate cyber risk.

Manuscript details are available for academic and recruiting enquiries.

Working papers

Preparing for submissionFirst author

Firm Exposure to Governance Agencies and Audit Fees: Business Risk or External Monitoring?

With Mark Aleksanyan, Charalampos Stasinakis, and Arpine Maghakyan

Investigates whether firm exposure to governance agencies affects audit pricing through business-risk or external-monitoring channels.

Early-stage draftFirst author

“Mind the Language”: Data Breach Notifications and Stock Market Reactions

Studies how the language used in data-breach notifications shapes stock-market reactions.

Work in progressFirst author

Measuring Cross-Narrative Contextualisation

Develops measures for studying how meaning and context travel across corporate narratives.

Selected presentations

11th Workshop on Audit Quality
Italy · Presenter

Finance and Business Analytics Conference
Greece · Presenter and discussant

48th European Accounting Association Annual Congress
Prague · Presenter and discussant

British Accounting & Finance Association Annual Conference with Doctoral Masterclasses
Birmingham · Presenter and discussant

Nordic Accounting Conference
Denmark · Presenter and discussant

Scottish Doctoral Colloquium
UK · Presenter

Methods

Python · Stata · SAS · Quantitative archival research · Textual analysis · Machine learning · Statistical analysis