Atreya Dey | University of Cambridge

Atreya Dey

Postdoctoral Research Associate, Cambridge Judge Business School

I am a Postdoctoral Research Associate at Cambridge Judge Business School, affiliated with the Cambridge Endowment for Research in Finance and Trinity Hall. My research examines how biodiversity loss and changing climate patterns affect financial markets and corporate behaviour, using ecological, geospatial, and satellite data alongside standard financial data. I completed my PhD in Financial Technology at the University of Edinburgh in 2025 and was a visiting scholar at Columbia University. Before the PhD, I worked as an economist at Moody's Analytics, building stress-testing models for large U.S. and international banks.

Research interests: Environmental finance · Institutional asset management · Empirical asset pricing · Corporate finance

Portrait of Atreya Dey

Recent presentations & awards

Presentations

  • Oct 2026 NBER Climate Finance Conference, Cambridge MA (upcoming)
  • Oct 2026 FMA Annual Meeting, Tampa (upcoming)
  • Oct 2026 Cambridge Judge Business School seminar (upcoming)
  • Aug 2026 Aarhus Finance Forum (upcoming)
  • Jun 2026 International Symposium on Climate, Finance, and Sustainability, Paris
  • Jun 2026 Workshop on Sustainable, Green & International Finance, EDHEC Nice
  • Jun 2026 CERF 25th Anniversary Conference, University of Cambridge
  • Sep 2025 Financial Fraud, Misconduct and Market Manipulation Conference, Lancaster University
  • Sep 2025 BIOECON Annual Conference, St John's College, Cambridge
  • Jun 2025 JFQA/Baruch Climate Finance Conference (poster)
  • Jan 2025 Sustainable and Impact Investments International Conference, Dublin
  • Jan 2025 American Finance Association poster session, San Francisco

Awards

  • 2025 Best PhD Paper Award, Global Research Alliance for Sustainable Finance and Investment
  • 2024 Best PhD Paper Award, PRI Academic Network Conference
  • 2023, 2025 American Finance Association Travel Grants
  • 2023 European Finance Association Travel Grant
  • 2022 Best Data-Driven Research Award, Edinburgh Centre for Data, Culture & Society

Selected research

  • Climate Finance
  • Sovereign Risk
  • Geospatial Data

Inattention to the coming storm? Rising seas and sovereign credit risk

Working paper · Last revised: February 2025

Do sovereign credit markets price the risk of coastal flooding? I show that medium- and long-term credit default swap spreads rise for countries with large populations exposed to coastal flooding when climate news arrives, but the market incorporates changing coastal vulnerabilities only gradually — consistent with investor inattention. A real-options model examines the debt financing trade-offs of sovereign adaptation investment.

Best PhD Paper Award, Principles for Responsible Investment Academic Conference 2024

Abstract

This study examines whether the sovereign credit market incorporates expectations of coastal flooding and sea level rise (SLR). The results indicate that medium- and long-term credit default swap spreads increase for sovereigns with a substantial portion of their population vulnerable to ex-ante coastal flooding in response to news around climate summits. Predictability tests suggest that the market asynchronously incorporates changing vulnerabilities of regions into its risk assessment with such news, consistent with theories of inattention to information. A real-options model is used to consider debt financing trade-offs associated with sovereign inaction or investment into adaptation.

  • Climate Finance
  • Asset Pricing

What Do Weather Shocks Reveal? Realized Temperature Variability and Equity Returns

with Leonardo Bortolan, Luca Taschini · Working paper · Last revised: May 2026

How do U.S. equities respond to abnormal temperature variability — a localized, transitory weather shock with real consequences for firms? Sorting firms each month by realized exposure in their operating states, low-exposure firms outperform high-exposure firms by 4.8% annually. The evidence supports a cash-flow channel that investors find difficult to infer: analyst disagreement rises and earnings surprises are more negative among high-exposure firms.

Best Data-Driven Research Award 2022, Edinburgh Centre for Data, Culture & Society

Abstract

We study how US equities respond to abnormal temperature variability — a localized and transitory shock with significant firm-level consequences. Sorting US firms each month by realized exposure in their operating states, we find that low-exposure firms have contemporaneously greater returns than high-exposure firms, with a return differential of 4.8% annually. Firm-level evidence supports a cash-flow channel, as elevated variability reduces revenues and profits. Consistent with these operating consequences, household spending falls in affected consumer-facing sectors, and workers supply fewer hours. These shocks attract attention as they occur, yet their cash-flow implications are difficult for investors to infer. Analyst disagreement rises and earnings surprises are more negative among high-exposure firms.

Media

Discussing "Inattention to the coming storm?" with Tom Gosling (London Business School) after receiving the Best PhD Paper Award at the PRI Academic Network Conference 2024.