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The purpose of this paper is to illustrate how risk capital can be calculated and allocated in a multi‐year context. This is an important issue, since strategic management and decision making within insurance companies require a multi‐year time horizon (instead of a one‐year time horizon, as set out in solvency models).

After defining risk capital in a multi‐year context, the paper discusses the different properties of the multi‐year risk capital concept. The paper also presents an allocation rule of how to allocate the multi‐year risk capital to individual years as well as to individual segments. The paper applies the author's model framework in an application study to illustrate the different effects.

The paper shows how multi‐year risk capital can be used as a basis for analyzing different management strategies within risk and return indicators in the context of value‐based management. Furthermore, the paper demonstrates the effect of allocating risk capital in a multi‐year context.

The analysis provides new and relevant information to insurance companies' management. Whereas usually solvency rules set out a time horizon of one year, in the context of internal risk models a multi‐year planning horizon is taken into account. Management needs to get an idea of how much risk capital is necessary in order to survive the next five years without external capital supply. The paper presents an answer to these questions.

The purpose of this paper is to present a simulation‐based approach for modeling multi‐year non‐life insurance risk in internal risk models. Strategic management in an insurance company requires a multi‐year time horizon for economic decision making, for example, in the context of internal risk models. In the literature to date, only the ultimate perspective and, more recently, the one‐year perspective (for Solvency II purposes) are considered.

The authors present a way of defining and calculating multi‐year claims development results and extend the simulation‐based algorithm (“re‐reserving”) for quantifying one‐year non‐life insurance risk, presented in Ohlsson and Lauzeningks, to a multi‐year perspective.

The multi‐year algorithm is applied to the chain ladder reserving model framework of Mack (1993).

The usefulness of the new multi‐year horizon is illustrated in the context of internal risk models by means of a case study, where the multi‐year algorithm is applied to a claims development triangle based on Mack and on England and Verrall. This algorithm has been implemented in an excel tool, which is given as supplemented material.

To the best of the authors' knowledge, there are no model approaches or studies on insurance risk for projection periods of not just one, but several, new accident years; this requires a suitable extension of the classical Mack model; however, consideration of multiple years is crucial in the context of enterprise risk management.

The purpose of this paper is to illustrate the importance of modeling parameter risk in premium risk, especially when data are scarce and a multi‐year projection horizon is considered. Internal risk models often integrate both process and parameter risks in modeling reserve risk, whereas parameter risk is typically omitted in premium risk, the modeling of which considers only process risk.

The authors present a variety of methods for modeling parameter risk (asymptotic normality, bootstrap, Bayesian) with different statistical properties. They then integrate these different modeling approaches in an internal risk model and compare their results with those from modeling approaches that measure only process risk in premium risk.

The authors show that parameter risk is substantial, especially when a multi‐year projection horizon is considered and when there is only limited historical data available for parameterization (as is often the case in practice). The authors' results also demonstrate that parameter risk substantially influences risk‐based capital and strategic management decisions, such as reinsurance.

The authors' findings emphasize that it is necessary to integrate parameter risk in risk modeling. Their findings are thus not only of interest to academics, but of high relevance to practitioners and regulators working toward appropriate risk modeling in an enterprise risk management and solvency context.

To the authors' knowledge, there are no model approaches or studies on parameter uncertainty for projection periods of not just one, but several, accident years; however, consideration of multiple years is crucial when thinking strategically about enterprise risk management.

Property and casualty (“P&C”) insurance companies rely on “risk capital” to absorb large losses that unexpectedly deplete claims‐paying resources and reduce underwriting capacity. The purpose of this paper is to review the similarities and differences between two different types of risk capital raised by insurers to cover losses arising from natural catastrophes: internal risk capital provided by investors in insurance company debt and equity; and external risk capital provided by third parties. The paper also explores the distinctions between four types of external catastrophe risk capital: reinsurance, industry loss warranties, catastrophe derivatives, and insurance‐linked securities. Finally, how the credit crisis has impacted alternative sources of catastrophe risk capital in different ways is considered.

The discussion is based on the conceptual framework for analyzing risk capital developed by Merton and Perold.

In 2008, the P&C insurance industry was adversely affected by significant natural catastrophe‐related losses, floundering investments, and limited access to capital markets, all of which put upward pressure on catastrophe reinsurance premiums. But the influx of new risk capital that generally accompanies hardening markets has been slower than usual to occur in the wake of the credit crisis. Meanwhile, disparities between the relative costs and benefits of alternative sources of catastrophe risk capital are even more pronounced than usual.

Although many insurance companies focus on how much reinsurance to buy, this paper emphasizes that a more important question is how much risk capital to acquire from external parties (and in what form) vis‐à‐vis investors in the insurance company's own securities.

Examines the rapid advances in risk measurement capabilities of financial institutions with the Basle Accord standards firmly in mind. Gives firm guidelines from the Basle Committee and recommendations and examples. States many financial institutions have developed methods for relating risk to capital, similar to the framework outlined in the recommendations. Looks at applications of economic capital and explores how these can be used to improve management decision making. Sums up that the need for financial institutions to design and implement what is required is pressing indeed.

This article explores the value creation process from player sales in football to understand if the related capital gains correspond to significant increases in the stock value of selling companies. In addition, it aims to detect any potential drivers for higher (or slower) abnormal stock returns.

The authors analyze all the capital gains of the Italian and Portuguese listed football companies (the only ones for which, based on their annual reports, it was possible to trace the net book value for each player sold and, consequently, if any, the related capital gain) from 2012 to 2020 and use event study analysis to calculate the abnormal returns of the football companies' stocks. Moreover, the authors use a multiple linear regression model to identify the factors affecting investors' reactions and value creation process intensity.

The results show that, on average, the capital gains from player transfers in football are positive income components and produce statistically significant higher abnormal returns. In addition, the authors identified some relevant drivers related to their intensity which could guide the choices of corporate executives regarding future disposals of the multi-year performance rights of players in the roster.

This study considers only Italian and Portuguese football listed companies. It would be helpful to consider some of the companies from other countries which are also outstanding from the sports perspective, but, in practice, it was not possible due to the impossibility to trace the net book value of the single footballers sold in those clubs' public financial disclosure.

The value relevance of the capital gains from player trading activities should increase their importance, creating cascade effects on several activities generating value for football clubs (youth sector management, player scouting, technical improvement of the players). In addition, financial data show that the capital gains from player transfers are a basic income of European football clubs nowadays. Their executives consider these operations recurrent and continually search for more valuable transfers. Hence, it is reasonable to think that they (will) choose the players to sell considering both sports and financial aspects.

To the best of the authors' knowledge, this is the first study exploring the effects of capital gains from player trading activities on professional football clubs' stock value. The results obtained are even more relevant if one considers the importance these income components have in the profit formula of professional football clubs nowadays, also because of the negative repercussions caused by the recent COVID-19 pandemic.

As real estate departments and workplace organisations devote more attention to strategic planning, most of the work has focused on improving performance metrics and developing dashboards to communicate this information clearly and concisely. Yet these steps will take these organisations only part of the way. Once they have this information, they need to devote more time to developing strategies and plans. This review examines one of these activities ‐ developing high‐level occupancy plans. Representatives of the strategy and planning groups at ten leading corporations and the occupancy planning experts at seven service providers and system developers were interviewed for this survey. It was found that most firms continue to complete high‐level occupancy plans with tedious and time‐consuming data‐collection processes and spreadsheet analyses. These organisations could improve efficiency and the success of their plans in two ways: better analysis approaches and better data collection and organisation. This review summarises the best practices identified in these areas.

It is essential for the welfare and growth of a society that it is able to share risk efficiently in the economy. However, extreme events have increased enormously during the last decades, so that catastrophe risks seem to become uninsurable in a free-market economy. With insurance-linked securities (ILS) or catastrophe bonds (cat bonds), the limits of insurability can be ex-tended by using the resources of capital markets worldwide. Interestingly, to date the issuers of cat bonds must guarantee excessively high returns in order to attract investors from the financial markets. Therefore, the authors aim to discuss in this paper the hypothesis that at least parts of these excessively high returns can be explained by an individual innovation resistance to cat bonds.

In the first step, the authors examine the criteria for insurability of catastrophe risks and explore the potential reasons for lack of insurance, specifically for extreme events such as catastrophic environmental risks. The authors especially focus on the criteria which are considered to be problematic for the insurance of catastrophic events. In the next step, the authors discuss the new financial products “ILS” or “cat bonds” and analyze to what extent ILS represent an innovative opportunity to increase the insurability of catastrophe risks. Starting from the model of the consumer resistance by RAM, the authors consider different factors that can prevent the acceptance of ILS by private investors.

The authors found out that catastrophe risks do not really fulfil important actuarial criteria in order to be insurable. Thus, insurance exists only if risk can be transferred, not only to reinsurance companies but also to capital markets (through securitization or catastrophe options). In line with Ram's seminal model of consumer resistance, the authors assume that product-related, diffusion mechanism-related and psychographic factors influence individuals' resistance to cat bonds. In particular, the authors expect that perceptions of immorality influence private investors' decision-making. Within this context, Robin and Reidenbach's “Multi-dimensional ethics”-scale represents a possibility to assess perceptions of immorality.

In this paper, the authors provide a new approach to explain the excess spreads on cat bonds versus comparable corporate bonds. These abnormal high turns from cat bonds have been subject of intensive research in the last decade. To date, the insurance literature has identified “novelty premium”, “market size” and “cliff risk” as the reasons for the excess spreads. The authors assume that at least parts of these excessively high returns can be explained by an individual innovation resistance against ILS. In the authors' opinion, persuasive communication can be used to alleviate individual resistance towards ILS. The paper provides implications for management and suggestions for further research.