Conference Time: 17th May 2024, 04:02:44am CEST
Conference AgendaOverview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 04:02:44am CEST
PS III.6: Climate Change
Time:
Saturday, 21/Oct/2023:
4:45pm - 6:15pm
Session Chair: Yuna Heo , University of Basel, SwitzerlandSession Chair: Neil Michael Kellard , University of Essex, United Kingdom
Location: T 15.04
Presentations
ID: 236
/ PS III.6: 1
Track A: Sustainable Corporate Governance
Submission Type: Full-paper (empirical) Keywords: climate change, firm-level climate change exposure, cash holdings, precautionary savings, financial constraints, climate adaptation, vulnerable industry
Climate Change Exposure and Firm Cash Holdings
Yuna Heo
University of Basel, Switzerland;
yuna.heo{at} unibas ch
ID: 235
/ PS III.6: 2
Track A: Sustainable Corporate Governance
Submission Type: Full-paper (empirical) Keywords: climate uncertainty, climate change, transition policy, corporate investment, climate adaptation, climate change news index, climate resilience, investment irreversibility
Climate Change, Adaptation Policy, and Corporate Investment Decisions
Yuna Heo
University of Basel, Switzerland;
yuna.heo{at} unibas ch
ID: 249
/ PS III.6: 3
Track A: Sustainable Corporate Governance
Submission Type: Full-paper (empirical) Keywords: Greenhouse gas emissions; EU ETS, Corporate governance; CSR; ESG
Greenhouse Gas Emissions: Switching on Good Corporate Governance
Panagiotis Andreou2 , Neil Michael Kellard1
1 University of Essex, United Kingdom; 2 Cyprus University of Technology, Cyprus;
nkellard{at} essex.ac uk
ID: 306
/ PS III.6: 4
Track A: Sustainable Corporate Governance
Submission Type: Full-paper (empirical) Keywords: Climate change, natural language processing, earnings conference calls, physical exposure, transition exposure, cross-section of stock returns
A Machine Learning-based Anatomy of Firm-level Climate Change Exposure
Weiwei Hu1 , Kai Li1 , Tingyu Yu2
1 Peking University HSBC Business School; 2 The University of Zurich, Switzerland;
tingyu.yu{at} bf.uzh ch