Analysis of Risk Premium Determinants on Cat Bonds

To encourage further development of catastrophe (cat) bond, understanding the causes of cat bond premium puzzle is necessitated. Considering the property of entropy to measure uncertainty, this paper establishes an entropy model about risk assessment in catastrophe bond investors' decision making. Moreover, this article analyzes the model and compares relative influence through simulating actual behavior of both rational and non-rational investors. The conclusions obtained show that with inadequate information, cognitive biases and collecting cost increase the high yield demand of investors in cat bond market.

Insurance securitization has long been hailed as an important tool to increase the underwriting capacity for companies exposed to catastrophe-related risks. However, global volumes of insurance securitization have remained surprisingly low to date which raises questions over its benefits. In this paper, we examine changes in the market value of insurance and reinsurance firms which announce their engagement in insurance securitization by issuing catastrophe (Cat) bonds. Consistent with the hitherto underwhelming contribution of Cat bonds to global catastrophe coverage, we do not find evidence that Cat bonds lead to strong wealth gains for shareholders in the issuing firm. More importantly, we report large variations in the distribution of wealth effects in response to the issue announcement. We show that the wealth effects for shareholders in firms which issue Cat bonds appear to be driven by explanations according to which Cat bonds offer cost savings relative to other forms of catastrophe risk management (and less by the potential of Cat bonds to hedge catastrophe risk). Thus, abnormal returns are particularly large for issues by firms which face low levels of loss uncertainty (which reduces the information acquisition costs in financial markets) as well as for issues during periods when prices for catastrophe coverage (including Cat bonds) are low.

Natural catastrophes lead to problems of insurance and reinsurance industry. Classic insurance mechanisms are often inadequate for dealing with consequences of catastrophic events. Therefore, new financial instruments, including catastrophe bonds (cat bonds), were developed. In this paper we price the catastrophe bonds with a generalized payoff structure, assuming that the bondholder’s payoff depends on an underlying asset driven by a stochastic jump-diffusion process. Simultaneously, the risk-free spot interest rate has also a stochastic form and is described by the multi-factor Cox–Ingersoll–Ross model. We assume the possibility of correlation between the Brownian part of the underlying asset and the components of the interest rate model. Using stochastic methods, we prove the valuation formula, which can be applied to the cat bonds with various payoff functions. We use adaptive Monte Carlo simulations to analyze the numerical properties of the obtained pricing formula for various settings, including some similar to the practical cases.

The study of natural catastrophe models plays an important role in the prevention and mitigation of disasters. After the occurrence of a natural disaster, the reconstruction can be financed with catastrophe bonds (CAT bonds) or reinsurance. This paper examines the calibration of a real parametric CAT bond for earthquakes that was sponsored by the Mexican government, which is based on the estimation of the intensity rate of the arrival process of earthquake (which would trigger this particular CAT bond) from the two sides of the contract: the reinsurance and the capital markets. Additionally, the intensity rate from the historical data was estimated to conduct a comparative analysis. The results demonstrate that, under specific conditions, the financial strategy of the government, a mix of reinsurance and CAT bond, is optimal in the sense that it provides coverage of USD 450 million for a lower cost than the reinsurance itself. <italic>JEL Classification: G19, G29, N26, N56, Q29, Q54</italic>

Reinsurance and CAT bonds are two alternative risk management instruments used by insurance companies. Insurers should be indifferent between the two instruments in a perfect capital market. However, the theoretical literature suggests that insured risk characteristics and market imperfections may influence the effectiveness and efficiency of reinsurance relative to CAT bonds. CAT bonds may add value to insurers’ risk management strategies and may therefore substitute for reinsurance. Our study is the first to empirically analyse if and under what circumstances CAT bonds can substitute for traditional reinsurance. Our analysis of a comprehensive data set comprising U.S. P&C insurers’ financial statements and CAT bond use shows that insurance companies’ choice of risk management instruments is not arbitrary. We find that the added value of CAT bonds mainly stems from non-indemnity bonds and reveal that (non-indemnity) CAT bonds are valuable under high reinsurer default risk, low basis risk and in high-risk layers.

The scale of wildfires, in terms of acreage burned and mortality rates, is risingdue to climate change. There are various causes for wildfire ignition; however, power lines are one of the most significant factors, leading to some of the most devastating wildfire events over the past decade and even bankrupting electric utilities. Traditional insurance strategies are often not applicable for providing financial resilience to electric utilities against such catastrophic events. This paper quantifies the associated risk and proposes a catastrophe bond (CAT bond) as a form of parametric insurance to cover a portion of the risk. Vegetative fuel, weather, power grid, and historical wildfire ignition data are integrated into a proposed simulation-based methodology to accurately price the risk of the third-party wildfire liability, transmission line reconstruction, and the cost of load-shedding. The proposed methodology offers a useful tool for transmission system owners to transfer a portion of the risk of wildfire ignition to CAT bond investors. In addition, the premium calculation is analyzed through a sensitivity analysis to calibrate the indemnity-based CAT bond parameters.

Risk-based catastrophe bond design for a spatially distributed portfolio

Common Risk Factors in the Cross Section of Catastrophe Bond Returns

The HuT (The Human-Tech Nexus) project, funded by Horizon Europe initiative, is focused on risk assessment and disaster risk reduction for distinct types of hazards (wildfires, landslide, droughts, etc.), over the European territory, by means of a series of demonstrators representing a multi-hazard arena. In the framework of this project, we present an innovative Catastrophe Bond (Cat Bond) designed to enhance disaster risk reduction strategies. Cat Bonds are a key financial instrument for transferring the risk of extreme events from insurers to capital markets, thereby increasing resilience and reducing the economic impact of disasters. Our approach lies in the use of the recently developed E3CI (European Extreme Events Climate Index) as the trigger mechanism for the bond. The E3CI is a suite of indicators designed to monitor and quantify the occurrence and intensity of climate extremes across Europe. It integrates multiple variables into a single, scientifically robust metric, enabling consistent and transparent assessment of climate-related risks. By using E3CI as the trigger for our Cat Bond, we ensure that payouts are based on objective, observed climate conditions rather than loss estimates, improving reliability and fairness in risk transfer mechanisms. The coupon here reckoned for the Cat Bond are based on hypothetical portfolios over the Italian territory. The proposed Cat Bond ensures transparency, objectivity, and a strong link to observed climate extremes. This solution represents an interesting case study in integrating climate science into risk financing solutions, supporting both insurers and communities in managing the growing risks associated with climate change.

2444 - Analysis of Bicycle Environment Using Instrumented Probe Bicycle

Financial Adaptation to Climate Change via Public Interest Weather Derivatives and Catastrophe Bonds in the Wake of the Financial Meltdown

Recent catastrophic events such as floods and earthquakes have underlined the need for rapid infusion of financial and other resources to facilitate repair and reconstruction of damaged facilities and lifeline infrastructure. Because bridge structures are a major component of the essential transportation infrastructure, they require timely application of maintenance and repair. To mitigate risks associated with natural hazards and associated impacts on bridges, it is necessary to adopt suitable financial tools. Hazard-linked securities such as catastrophe (CAT) bonds are financial tools that have called the attention of investors as a risk-mitigating instrument that supports fast recovery of communities and businesses. The benefits of CAT bonds are twofold: the bonds ensure that financial resources are readily available to cover potential losses in the wake of a natural hazard, and they provide attractive returns with risks uncorrelated with other, more traditional financial assets, such as stocks or corporate bonds. This paper presents a model for determining the risk premium (spread) implied by the default-triggering event and structural design parameters. A risk-neutral cost–benefit method for pricing the risk premium (spread) is presented. Examples of conventionally designed and seismically designed bridges illustrate the implication of structural design parameters on the risk premium and the corresponding utility of these structures as potential CAT bond investments.

Climate change implications for the catastrophe bonds market: An empirical analysis

Disasters have significant environmental, human, social, economic, and financial impacts. These effects are potentially long-lasting and have multi-generational consequences. Due to climate change, disasters have cascading and compound effects, heightening the financial risks. However, the number of countries issuing CAT Bonds as a financial instrument for tackling the financial burden of disasters is less than 5% as of 2023.&amp;#160;This study explores the need to use CAT Bonds as a risk transfer mechanism that allows governments and insurers to spread their climate change risk across capital markets. It presents a comprehensive cross-country level analysis of the potential drivers that influence the CAT bond issuance at a sovereign level for 131 countries from 2016 to 2021 to understand their significance for issuers and non-issuers of CAT Bonds. These potential drivers were filtered after an exploratory factor analysis. Nonetheless, the imbalance between the number of issuers and non-issuers has resulted in poor classification accuracy results and bias. Hence, this study employs Logistic Regression with Synthetic Minority Over-sampling Technique (SMOTE) and without SMOTE. Further, a comparison study between the effective CAT Bond issuance in the Philippines against non-issuance in India was conducted to determine the obstacles in the Indian setting. The result from the study indicates that a country&amp;#8217;s exposure to hazards, population growth, investment freedom, regulatory quality, gross budget balance, stock traded and rule of law have statistically significant impact on the issue of CAT Bond. Highlighting the Indian context, the major challenges the country faces in issuing CAT Bonds are its stringent rule of law, regulatory inferiority, economic uncertainty, and less stock traded.

In this study we have examined the occurrence probability of solar proton events and their peak fluxes depending on three flare parameters (X‐ray peak flux, longitude, and impulsive time). For this we used NOAA solar energetic particle events from 1976 to 2006 and their associated X‐ray flare data. As a result, we selected 166 proton events that were associated with major flares: 85 events associated with X‐class flares and 81 events associated with M‐class flares. The occurrence probability especially strongly depends on three parameters as follows. (1) We found that about only 3.5% (1.9% for M‐class and 21.3% for X‐class) of the flares are associated with the proton events. (2) It is also found that this fraction strongly depends on longitude; for example, the fraction for 30°W &lt; L ≤ 90°W is about three times larger than that for 30°E &lt; L ≤ 90°E. (3) We also note that the occurrence probability of solar proton events associated with long‐duration (≥0.3 h) flares is about 2 (X‐class flare) to 7 (M‐class flare) times larger than that with short‐duration (&lt;0.3 h) flares. (4) The largest difference is found between the eastern short‐duration M‐class flare group (0.3%) and the western long‐duration X‐class flare group (46.5%). In addition, the relationship between X‐ray flare peak flux and proton peak flux as well as its correlation coefficient are strongly dependent on longitude and impulsive time.