A Framework for Assessing Climate Risk Integration in Banking Capital Models
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Framework for Climate Risk in Banking Capital Models
- 2.2Evolution of Banking Capital Models and Climate Risk Integration
- 2.3Theoretical Foundations: Basel Frameworks and Resilience Theories
- 2.4Climate Risk Measurement and Assessment in Financial Sectors
- 2.5Empirical Studies on Climate Risk and Bank Capital Adequacy
- 2.6Regulatory Approaches to Climate Risk in Banking
- 2.7Challenges in Incorporating Climate Risks into Capital Models
- 2.8Identified Gaps in Climate Risk Modeling for Banks
- 2.9Existing Frameworks for Climate Risk Integration
- 2.10Conceptual Models for Climate-Resilient Banking
- 2.11Summary and Critical Appraisal of the Literature
- 2.12Development of a Conceptual Model for Climate Risk Assessment in Capital Models
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design and Approach
- 3.2Philosophical Paradigm Guiding the Study
- 3.3Population of the Banking Sector and Climate Data
- 3.4Sampling Techniques and Sample Size Determination
- 3.5Data Sources: Primary and Secondary Data
- 3.6Data Collection Instruments and Procedures
- 3.7Validity, Reliability, and Pilot Testing of Instruments
- 3.8Analytical Framework and Model Specification
- 3.9Data Analysis Techniques and Software Tools
- 3.10Ethical Considerations in Climate Risk Data Collection and Analysis
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Descriptive Statistics of Banking and Climate Data
- 4.2Presentation of Climate Risk Indicators in Banks
- 4.3Testing of the Hypotheses Using Statistical Models
- 4.4Interpretation of Regression and Other Analytical Results
- 4.5Validation of the Proposed Framework
- 4.6Comparative Analysis with Existing Models
- 4.7Discussion of Findings in Light of Literature
- 4.8Limitations and Robustness Checks of Results
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Key Findings
- 5.2Conclusions on Climate Risk Integration into Banking Capital Models
- 5.3Contributions to Banking and Climate Finance Literature
- 5.4Policy and Practical Recommendations for Banks and Regulators
- 5.5Recommendations for Framework Adoption and Implementation
- 5.6Limitations and Implications for Future Research
- 5.7Suggestions for Further Studies in Climate-Resilient Banking Capital Models
Thesis Abstract
The increasing recognition of climate change as a critical factor influencing financial stability underscores the urgent need to integrate climate-related risks into banking capital adequacy frameworks. Despite growing awareness among regulators and financial institutions, a standardized and comprehensive model for evaluating climate risk within banking capital models remains underdeveloped, leading to significant vulnerabilities that could undermine financial resilience in the face of escalating climate events. This study aims to develop a robust framework for assessing the integration of climate risk into banking capital models, with specific objectives including identifying existing gaps in current risk assessment practices, evaluating the applicability of advanced analytical techniques for climate risk quantification, and proposing a practical model adaptable across various banking contexts. The research adopts a mixed-methods approach, combining qualitative and quantitative techniques to provide a comprehensive understanding of climate risk integration. The qualitative component involves a thematic analysis of regulatory guidelines, banking policies, and expert interviews to elucidate key dimensions of climate risk and the current limitations in incorporation practices. The quantitative component employs a cross-sectional survey of 150 senior risk managers and chief risk officers across commercial banks within a major financial jurisdiction to gauge current practices and perceptions concerning climate risk modeling. Data collection instruments include semi-structured interviews, structured questionnaires, and documentary analysis of bank risk reports. Validity and reliability are ensured through pilot testing, expert validation, and Cronbach’s alpha assessments. Analytical techniques encompass thematic analysis for qualitative data, and multivariate regression analysis to examine the relationship between existing risk models and climate risk incorporation, as well as factor analysis to identify underlying dimensions influencing integration practices. The study proposes a conceptual framework based on the integration of the Theory of Risk Management and the Climate Change Adaptation Theory, emphasizing the interaction between institutional capabilities, regulatory environment, and climate risk factors. The proposed framework aims to guide banks in systematically assessing and embedding climate-related risks into their capital adequacy processes. It is anticipated that findings will reveal substantial variability in the extent and quality of climate risk integration among banks, influenced by factors such as regulatory mandates, institutional expertise, and available data. The analysis is expected to demonstrate that banks with advanced risk management practices and proactive regulatory engagement are better positioned to incorporate climate risks effectively, leading to more resilient capital models. The results will also highlight specific gaps, including limited use of climate scenario modeling and insufficient quantitative metrics tailored to climate phenomena. This research contributes to existing knowledge by providing a novel, tailored framework that bridges current methodological gaps, integrating climate risk considerations into mainstream banking capital models. It extends the theoretical understanding of risk management in the context of climate change and offers practical guidelines for policymakers and financial institutions seeking to enhance resilience against climate-related financial risks. The study concludes that a standardized, flexible framework is essential for meaningful climate risk integration, which requires capacity building, improved data quality, and regulatory support. Recommendations include the adoption of climate scenario analysis tools, increased investment in training risk personnel, and stronger regulatory incentives to embed climate considerations into capital planning. Future research should explore the application of the proposed framework in different banking jurisdictions and extend inquiry into the quantification of non-financial climate risks, thereby fostering a more sustainable and resilient banking sector globally.
Thesis Overview
This research aims to develop a clear and practical framework to help banks evaluate how well they are incorporating climate-related risks into their capital adequacy models. In recent years, climate change has posed significant financial risks to banks, such as increased loan defaults from climate-related disasters or stranded assets in the energy sector. Despite this, many banks struggle to systematically include these risks in their core financial models, which can lead to underestimating potential losses and weaken financial stability.
The main problem the study addresses is the lack of a standardized method for assessing whether banks are effectively integrating climate risks into their existing capital models. The research will fill this gap by constructing a comprehensive framework that banks can use to evaluate their current practices, identify gaps, and adopt more accurate risk assessment methods.
To achieve this, the researcher will undertake a step-by-step process. Firstly, they will review existing literature on climate risks in banking and current risk assessment techniques. Next, they will conduct interviews and surveys with risk managers at a sample of 20 banks to gather data on how climate risks are currently incorporated into their models. The research will analyze these data using qualitative thematic analysis for interview responses and quantitative methods such as regression analysis to identify factors that influence effective climate risk integration.
The expected contribution of this study is a practical, easy-to-apply framework that banks can use to assess and strengthen their climate risk management within capital models. It aims to support banks in aligning their risk assessments with emerging regulatory requirements and evolving climate risks. The main outcome will be a validated tool that enhances understanding of climate risk integration, guiding future risk management strategies and policy development. Overall, the study hopes to promote more resilient banking practices in the face of climate change.