Sinking Fund Preferred Stock

IN THE 1970S THERE was a noticeable increase in the amount of preferred stock issued by utility companies. During this period the historically positive yield differential between high grade preferred stocks and high grade corporate bonds turned negative. A substantial fraction of the demand for preferred stock has come from casualty and stock life insurance companies [10]. Much of the corporate demand for preferred stock may be attributed to the 85 percent exclusion of preferred dividends from net income for federal income tax purposes. Insurance companies must follow the valuation rules of the National Association of Insurance Commissioners (NAIC). For example, bonds may be carried at amortized original cost (book value) if they are investment grade (equivalent to Moody's Baa or higher), but they have to be carried at a lower value if they have lower ratings. Common stock is carried at market price. The NAIC recently adopted a rule permitting insurance companies to carry sinking fund preferreds at book value rather than marking them to the market. The 1979 edition of the Valuation of Securities: Procedures and Instructions booklet published by the NAIC allows preferred stock held by property and casualty companies to: Commencing with the December 31, 1978 Annual Statement, be valued for statement purposes at cost, providing the is subject to a 100% mandatory sinking fund ... over a period not longer than 40 years from the date of issue [11]. Holding assets which are accounted for at book value rather than market value reduces the variance of reported equity. The benefit of this provision for insurance companies is that during a period of rising interest rates, sinking fund preferred stock held by insurance companies will not contribute to erosion of reported asset base and balance sheet equity. It is likely that in some instances the provision would enable insurance companies to continue to write new policies at a growth rate that would not otherwise be possible due to state statutes which limit the maximum value of policies written in relation to balance sheet asset value. Whether or not bookkeeping rules have a significant impact on security prices has long been an interesting question [4] [6]. This paper examines the impact of the change in NAIC rules upon the pricing of preferred stock.1

Insurance (MIC: 8.2 SIC: 6331 NAIC: 524126)State Auto Financial is a property and casualty insurance holding company primarily engaged in writing both personal and business lines of insurance. Co. operates through its subsidiaries: State Auto Property and Casualty Insurance Company, Milbank Insurance Company, Farmers Casualty Insurance Company, State Auto Insurance Company of Ohio, State Auto National Insurance Company, Stateco Financial Services, Inc., Strategic Insurance Software, Inc. and 518 Property Management and Leasing, LLC.. Co.'s principal lines of business include personal and commercial automobile, homeowners and farmowners, commercial multi‐peril, workers' compensation, general liability and property insurance.

Artificial intelligence (AI) technologies are revolutionizing underwriting, claims processing, customer experience, and risk management. AI allows insurers to automate, be more precise, and tailor products. These advances also bring challenges, such as refreshing legacy systems, managing vast amounts of data, and protecting data. This chapter explores how AI may change the property and casualty (P&C) insurance business, including its benefits and drawbacks. In addition to operational issues, P&C insurance AI adoption has ethical issues. Ethical AI usage depends on algorithmic fairness, transparency, and equitable decision-making processes. Insurers must balance automation and human oversight to reduce risks and maintain customer trust. Insurers must navigate complex data protection laws and ethical guidelines as they adopt AI. The chapter also discusses the future of P&C insurance AI. Real-time data analytics, IoT integration, and AI-blockchain synergy can further transform the industry. AI will improve pricing models, catastrophe response, and insurance personalization as it continues to develop. Insurers must overcome AI adoption hurdles and prioritize ethics in their strategy in order to capitalize fully on these opportunities.

The global transition to net zero emissions presents a significant challenge and opportunity for the insurance industry. This paper explores how property and casualty (PC) insurers are adapting their business models to the realities of a changing climate. It examines the key challenges, including increased risk of catastrophic losses, changing regulatory landscapes, and evolving customer demands. The paper then analyzes a range of adaptation strategies, such as risk modeling enhancements, product innovation, proactive risk mitigation services, and sustainable investment practices. Through a proactive approach to climate risk management, these insurers can not only ensure their own long -term sustainability but also play a crucial role in enabling a smoother transition towards a low -carbon economy. PC insurers that successfully adapt to the net -zero landscape will reap significant benefits, including enhanced resilience, improved risk selection, and a competitive advantage in a sustainable marketplace.

In 2010, the Affordable Care Act was signed into law with various provisions taking effect over the following years, specifically the individual mandate in 2014. This reform drastically impacted the entire insurance industry, not simply health insurance. Many prior studies, however, focused only on how ACA impacted health insurance. Early estimates indicated that health insurers might transfer costs to property and casualty insurers, which would significantly impact the profitability of these companies. Despite the association of medical malpractice with healthcare, property and casualty insurers actually write the policies for medical malpractice incidents. Therefore, I chose to exclusively examine how the Affordable Care Act impacts the practices of property and casualty insurers that write medical malpractice policies. My study worked to answer three questions: (i) the change in the number of medical malpractice reports, especially in Medicaid expansion states, (ii) the change in the dollar amount of these claims, and (iii) the impact to the industry’s net income. Using statistical tests and regressions based on sample data of the number of medical malpractice reports and the inflation-adjusted dollar amounts of these claims in each of the 50 states from 2003 to 2018, healthcare consumption expenditures, and the number of individuals with health insurance, I concluded that the number of malpractice reports has increased and the dollar amount of claims has decreased since the enactment of the Affordable Care Act. However, only a portion of these changes can be attributed to the Affordable Care Act, as the additional number of people insured played a small role in the variations of the medical malpractice environment; rather, healthcare consumption expenditures substantially altered the medical malpractice statistics. Ultimately, I concluded that the changes that occurred in the medical malpractice claims after the passage and enactment of the Affordable Care Act had very little impact on the profitability of the property and casualty insurance industry.

In this paper we investigate a significant innovation in preferred stock securities issued over the 1993–1996 period. We document trends in preferred stock use which indicate that the introduction of a preferred stock variant, trust preferred securities (TPS), is changing the landscape of corporate balance sheets with an increasing number of companies reporting securities in the “mezzanine” section of the balance sheet (between equity and debt). Referred to by many as the “Holy Grail” of financial instruments, TPS are treated as debt for tax purposes, but not for financial reporting or debt-rating purposes. Since their introduction in late 1993, they have quickly become the primary variant of new preferred stock issues, representing the majority of all new issues of preferred stock. We (1) document this trend in preferred stock issues, (2) discuss the resulting financial reporting effects of this new security, (3) identify the motivations for this trend and (4) evaluate a new FASB proposal that addresses these and other redeemable preferred securities.

This paper provides an overview of property and casualty insurance industry functions, insurance terminology descriptions, and special insurance coverage considerations for photovoltaic (PV) system owners, asset managers, operators, PV operation-and-maintenance service providers, utilities, and other parties. The paper includes the results of an analysis of 6 years of property and casualty insurance claims for PV equipment and discusses considerations for purchasing property and casualty insurance for owners and operators of PV systems. PV is a relatively new asset type, and insurance companies are revisiting rates and offerings as actuarial data become available. This paper seeks to inform decisions that optimize the balance of the cost of insurance with enabling benefits to finance, permitting, utility connections, and the operation of PV plants.

The property and casualty insurance sector is experiencing profound technological transformation driven by digital innovations that fundamentally restructure traditional insurance models. This technical review explores how cloud-native architectures, artificial intelligence, telematics, and regulatory technologies are reshaping core insurance functions. Cloud platforms with microservices architectures enable superior scalability while significantly reducing operational costs across the insurance value chain. AI-driven algorithmic underwriting systems transcend traditional actuarial models through ensemble learning techniques and deep neural networks, delivering enhanced risk assessment accuracy and processing efficiency. Telematics infrastructure with multiple data acquisition mechanisms has revolutionized auto insurance risk assessment, while RegTech solutions have transformed regulatory compliance through automated monitoring systems and blockchain frameworks. Autonomous vehicle insurance requires fundamentally different technical approaches including Bayesian networks and digital twin simulations, while advanced analytics architectures incorporate sophisticated security implementations such as homomorphic encryption and federated learning. Despite implementation challenges related to legacy system integration, data standardization, and model explainability, emerging directions including quantum computing, edge AI deployment, and decentralized insurance platforms promise to further evolve the technological landscape of property and casualty insurance.

Mean reversion in asset returns with varying debt and equity components: Evidence and implications from preferred stock

The principle of “equal shares, equal rights” was established by the Company Law of 1993 of the People’s Republic of China. At the initial stage only issuance of common stocks was allowed and the issuance of preferred stocks was interpreted as prohibited. The Company Law of 2006 has changed the rigidity of provisions of the Company Law of 1993 and laid down the legal foundation for issuance of preferred stock. The Rule for Administration of the Pilot Project for Preferred Stocks released on March 21, 2014 by the China Securities Regulatory Commission started the issuance of the preferred stocks in the Chinese capital market. The establishment of the legal system for issuance of preferred stock in China is not the symbol of overthrowing the principle of “equal shares, equal rights,” but the expansion and development of the principle of “equal shares, equal rights” in a new era.

Insurance (MIC: 8.2 SIC: 6331 NAIC: 524126)Harleysville Group underwrites property and casualty insurance in both the personal and commercial lines of insurance. As an underwriter of property and casualty insurance, Co. has three segments which consisted of the personal lines of insurance, the commercial lines of insurance and the investment function. Co.'s personal lines of insurance include both auto and homeowners, while its commercial lines include auto, commercial multi‐peril and workers compensation. Co.'s business is marketed primarily in the eastern and midwestern U.S. through independent agents. As of Dec 31 2007, these insurance coverages were marketed through approximately 1,500 insurance agencies.

Returns Post Catastrophe Induced Seasoned Equity Offerings of Property and Casualty Insurance Companies

The Development Mode of Chinese Property Insurance After Financial Crisis Period

Disparities in Geographic Performance: Some Effects on the Cost of Capital and the Payout Policy

Insurance (MIC: 8.2 SIC: 6331 NAIC: 524126)Harleysville Group is an insurance holding company that engages, through its subsidiaries, in the property and casualty insurance business on a regional basis. Co. underwrites property and casualty insurance in both the personal and commercial lines of insurance. The personal lines of insurance include both auto and homeowners, and the commercial lines include auto, commercial multi‐peril and workers compensation. At Dec 31 2006, these insurance coverages are marketed primarily in the Eastern and Midwestern U.S. through about 1,500 insurance agencies.