Reputation and Asset Prices: Evidence from Trump Real Estate

We assess the impact of #brandreputation on asset prices, focusing on Donald Trump’s presence in Manhattan real estate. Analyzing from mid-2015 to 2022, we find a 19% markdown on condos in Trump-branded buildings due to controversies around his candidacy. The drop was swift and substantial, indicating the relevance of #reputationalrisk in pricing. Using #twitter data, […]

The influence of ESG Ratings on the Credit Spread of Corporate Bonds

#esg practices enhance #riskmanagement, performance, stakeholder interest, and capital access. Strong ESG ratings reduce credit spread, benefiting firms’ financials. ESG disclosure aligns with principal-agent theory, lowering debt costs. Even modest ESG improvement cuts credit spread by 0.0035%, aiding companies’ interest expenses. Transparent ESG commitment yields #european market rewards, aiding corporate bonds. Study aids policymakers, credit […]

Acceptable Risks in Europe’s Proposed AI Act: Reasonableness and Other Principles for Deciding How Much Risk Management Is Enough

This paper critically assesses the proposed #euaiact regarding #riskmanagement and acceptability of #highrisk #ai systems. The Act aims to promote trustworthy AI with proportionate #regulations but its criteria, “as far as possible” (AFAP) and “state of the art,” are deemed unworkable and lacking in proportionality and trustworthiness. The Parliament’s proposed amendments, introducing “reasonableness” and cost-benefit […]

Introduction to Bayesian Data Imputation

#bayesian data imputation is a technique used to fill in missing data in a variety of fields, including #riskmanagement. By employing imputation techniques to fill in the gaps, #riskmanagers can obtain a more comprehensive and reliable understanding of the underlying #risk factors, enabling them to make informed decisions and develop effective strategies for #riskmitigation. Lire

Climate Change Stress Testing for the Banking System

The paper explores the potential inclusion of #climatechange #risks in the #prudential #regulatoryframework, specifically discussing adjustments to #capitalrequirements and changes to the #riskmanagement and #governance framework. The paper argues in favor of the latter but is more cautious regarding the former. Lire

Expert Evaluation of ChatGPT Performance for Risk Management Process based on ISO 31000 Standard

“… its ability to provide relevant #riskmitigation strategies was identified as its strongest aspect. However, the research also revealed that #chatgpt’s consistency in #riskassessment and prioritization was the least effective aspect. This research serves as a foundation for future studies and developments in the field of #ai-driven #riskmanagement, advancing our theoretical understanding of the application […]

Divergence Based Quadrangle and Applications

The proposed φ-Divergence Quadrangle presents a refined methodology for understanding and #managing #risk, contributing to the ongoing development of #riskassessment and #riskmanagement strategies. Lire

Extending and Improving Current Frameworks for Risk Management and Decision-Making: A New Approach for Incorporating Dynamic Aspects of Risk and Uncertainty

The paper discusses the importance of #riskinformed #decisionmaking -and the use of #riskassessment to support decisions. It highlights the need for a more dynamic approach to #riskmanagement, which takes into account #uncertainty, changes in systems, phenomena, or values that could alter the underlying premises of the initial risk assessment. Lire

Risk Sharing in Blockchain-Based Insurance with Costs

This study examines the #riskallocation problem in distributed #insurance using #blockchaintechnology, considering different charging methods. Through #gametheory analysis, the research explores the #pareto optimal risk allocation method. The findings reveal that when charges occur during insurance signing, risk is proportionally distributed based on policyholders’ #riskaversion coefficient. However, if the platform provider charges a fee proportional […]

Application of Deep Reinforcement Learning in Asset Liability Management

This paper introduces the application of Deep Reinforcement Learning (#drl) in #alm, addressing limitations of traditional methods reliant on human judgement. The findings highlight the potential of DRL to enhance #riskmanagement outcomes for #insurers, #banks, #pensionfunds, and #assetmanagers, providing improved adaptability to changing market conditions. Lire

Using Differential Privacy to Define Personal, Anonymous and Pseudonymous Data

This paper introduces the concept of differential privacy (DP) as a novel technical tool that can quantifiably assess the identification #risks of #databases, thereby aiding in the classification of data. By allocating a privacy budget in advance, data controllers can establish auditable and reviewable boundaries between #personal, #anonymous, and #pseudonymous data, while integrating this framework into broader data #riskmanagement practices. Lire

Correlation Pitfalls With ChatGPT: Would You Fall for Them?

“This paper presents an intellectual exchange with #chatgpt, … , about correlation pitfalls in #riskmanagement. … Our findings indicate that ChatGPT possesses solid knowledge of basic and mostly non-technical aspects of the topic, but falls short in terms of the mathematical goring needed to avoid certain pitfalls or completely comprehend the underlying concepts.” Lire

Crisis Risk and Risk Management

#crisis #riskmanagement“The existing data show that #political #crises make #economiccrises crises more likely, so that, as suggested by the concept of #polycrisis, feedback between non-economic crises and economic crises can be important, but there is no comparable evidence for #climate events.” Lire

Assessing ChatGPT’s Proficiency in Quantitative Risk Management

“We provide guidance on the types of applications for which consulting #chatgpt can be useful to enhance your knowledge about #quantitative #riskmanagement in #actuarial practice, and point out those for which ChatGPT should better not be invoked.” Lire