The market value impact of operational loss events for US banks and insurers

This paper conducts an event study analysis of the impact of operational loss events on the market values of banks and insurance companies, using the OpVar database. We focus on financial institutions because of the increased market and regulatory scrutiny of operational losses in these industries. The analysis covers all publicly reported banking and insurance operational risk events affecting publicly traded US institutions from 1978 to 2003 that caused operational losses of at least $10 million – a total of 403 bank events and 89 insurance company events. The results reveal a strong, statistically significant negative stock price reaction to announcements of operational loss events. On average, the market value response is larger for insurers than for banks. Moreover, the market value loss significantly exceeds the amount of the operational loss reported, implying that such losses convey adverse implications about future cash flows. Losses are proportionately larger for institutions with higher Tobin’s Q ratios, implying that operational loss events are more costly in market value terms for firms with strong growth prospects.     

Ex ante loss control by insurers: Public interest for higher profit

This article examines the incentives of an insurer to modify loss distributions prior to the sale of insurance. While actions such as lobbying Congress for mandatory airbags in automobiles are undertaken by insurers for the stated purpose of reducing the aggregate loss in society, they also change the nature of the risk being insured and, hence, affect the profitability of insurance sales. For the case of loss prevention (reducing the probabilty of a loss), insurers do not always have an incentive to invest in loss control. For loss reduction (reducing the severity of any loss that does occur), the incentive is to reduce the size of small losses while simultaneously increasing the size of large losses. Venezian Associates     

Italian government debt and sovereign credit risk: an empirical exploration and some thoughts about consequences for European insurers

The current sovereign debt crisis in the Euro-Zone is a cause of major concern for European insurers. Especially the fears about increased sovereign credit risk in Italy??leading to higher risk premia??may result in major difficulties because many insurance companies have invested in Italian government bonds. Therefore, this paper examines the relationship between German and Italian government bond yields using techniques of cointegration analysis. Furthermore, implications for insurance companies and regulators (focussing on Solvency II) are discussed.     

On the medical loss ratio (MLR) and sticky selling general and administrative costs: Evidence from health insurers

The Patient Protection and Affordable Care Act of 2010 (ACA) imposed an important constraint on health insurers: if the medical loss ratio (MLR), determined as the ratio of claims paid to premiums collected, declined below certain legislative targets, the insurer would be obliged to rebate a portion of the premiums to the customer. It might be expected that this increase in the MLR would result in a decrease in premium dollars available to cover selling, general and administrative costs (SG&A) and a concomitant decrease in profits. However, there is earlier evidence that SG&A “cost stickiness” presents a counter-effect in this instance: namely, that an increase in SG&A costs per each dollar of revenue increase is more than the magnitude of a decrease in SG&A costs per each dollar of revenue decrease. In this context, this paper offers the first preliminary evidence of the impact of the MLR regulatory change on SG&A cost stickiness in the health insurance industry.Applying the Anderson et al. (2003) methodology, our sample of publicly-traded health insurers shows evidence of significant mitigation of the SG&A cost stickiness after the implementation of the ACA medical loss ratio rules and that in periods of revenue declines, SG&A costs decreased more significantly post-ACA than pre-ACA. These results further illustrate the tension created by regulatory policy designed to improve healthcare cost efficiency and its impact on the profit seeking activities of for-profit healthcare enterprises. Thus, this paper contributes to both healthcare and accounting literature by documenting a significant effect of regulatory policy on managerial decisions regarding cost control.     

The resolution of cross-border banks: Issues for deposit insurers and proposals for cooperation

This paper reviews critical legal and policy issues created by cross-border banking insolvencies. These include (I) Insolvency principles, such as (1) criteria for intervention; (2) deposit insurance; (3) power to manage; (4) ability to maximize recoveries. Also included is (II) International legal complications. Critical issues in cross-border crisis management involve: (1) division of labor between home and host countries; (2) the availability of information; (3) the legal, regulatory and supervisory framework; (4) the law governing initiation of proceedings; (5) grounds for intervention; (6) deposit insurance; (7) legal powers of controlling authorities; (8) the potential financial and economic effects. We conclude with a few proposals for cooperation.     

Global systemic risk measures and their forecasting power for systemic events

Since the financial crisis of 2007–2009, many market-based systemic risk measures have been proposed. Prominent examples are MES, SRISK or ΔCoVaR. Based on a simulation study in an extended banking network model that incorporates several sources of systemic risk, we analyze how well these systemic risk measures perform in indicating the risk of a systemic event. For this analysis, the systemic risk measures of the banks that default and whose default is followed by a systemic event are compared with the systemic risk measures of those defaulting banks for which no subsequent systemic event can be observed. Within the simulation study, we find that many bank-individual systemic risk measures are statistically significant in explaining the likelihood of a systemic event after a bank’s default. However, the economic significance of the bank-individual systemic risk measures is relatively low.     

An analysis of pricing and basis risk for industry loss warranties

In recent years, industry loss warranties (ILWs) have become increasingly popular in the reinsurance market. The defining feature of ILW contracts is their dependence on an industry loss index. The use of an index reduces moral hazard and generally results in lower prices compared to traditional, purely indemnity-based reinsurance contracts. However, use of the index also introduces basis risk since the industry loss and the reinsured company’s loss are usually not fully correlated. The aim of this paper is to simultaneously examine basis risk and pricing of an indemnity-based industry loss warranty contract, which is done by comparing actuarial and financial pricing approaches for different measures of basis risk. Our numerical results show that modification of the contract parameters to reduce basis risk can either raise or lower prices, depending on the specific parameter choice. For instance, basis risk can be reduced by decreasing the industry loss trigger, which implies higher prices, or by increasing the reinsured company attachment, thus inducing lower prices.     

A folding methodology for multivariate extremes: estimation of the spectral probability measure and actuarial applications

In this paper, the folding methodology developed in the context of univariate Extreme Value Theory (EVT) by You et al. is extended to a multivariate framework. Under the usual EVT assumption of regularly varying tails, our multivariate folding allows for the estimation of the spectral probability measure. A new weakly consistent estimator based on the classical empirical estimator is proposed. Its behaviour is illustrated through simulations and an actuarial application relative to reinsurance pricing in the case of an insurance data-set.     

Myopic loss aversion and margin of safety: the risk of value investing

Abstract

Most modern financial markets use a continuous double auction mechanism to store and match orders and facilitate trading. In this paper we develop a microscopic dynamical statistical model for the continuous double auction under the assumption of IID random order flow, and analyse it using simulation, dimensional analysis, and theoretical tools based on mean field approximations. The model makes testable predictions for basic properties of markets, such as price volatility, the depth of stored supply and demand versus price, the bid–ask spread, the price impact function, and the time and probability of filling orders. These predictions are based on properties of order flow and the limit order book, such as share volume of market and limit orders, cancellations, typical order size, and tick size. Because these quantities can all be measured directly there are no free parameters. We show that the order size, which can be cast as a non-dimensional granularity parameter, is in most cases a more significant determinant of market behaviour than tick size. We also provide an explanation for the observed highly concave nature of the price impact function. On a broader level, this work suggests how stochastic models based on zero intelligence agents may be useful to probe the structure of market institutions. Like the model of perfect rationality, a stochastic zero intelligence model can be used to make strong predictions based on a compact set of assumptions, even if these assumptions are not fully believable.     

Communication management during risk events and crises in a globalised world: Predictability of domestic media attention for calamities

While governments are concerned with controlling domestic safety issues and preventing resulting potential societal disruptions, events abroad can trigger similar effects. Globalisation magnifies the media attention for events, domestic and abroad, which poses new challenges for authorities. This paper suggests additional approaches for governments to address such situations. Based on interviews with experts and representatives of authorities and analysis of Dutch media attention for external safety events, this paper identifies criteria that can predict media attention and factors that may contribute to effective policy responses. Both can contribute to help to manage external safety risk events. The study shows that media response is predictable to a certain extent. This insight can be a tool in the wider range of measures for authorities to help manage a crisis situation and in particular strategies to cope with the media.     

Interaction between securitization gains and abnormal loan loss provisions: Credit risk retention and fair value accounting

This study investigates whether managers use asset securitization gains to substitute loan loss provision (LLP) management for earnings management, and, if so, whether the percentage of credit risk retained affects such a relationship. The literature provides evidence that managers have used securitization transactions to boost earnings. Using 2001?2014 data for a sample of bank holding companies, I find that managers use securitization gains and LLPs as partial substitutes and that earnings management from securitization gains grows at an increasing rate to substitute income increasing LLP management as the level of risk retention increases. These findings are consistent with the argument that the higher the level of risk retention, the greater the potential impact on achieving earnings targets, given banks’ exercise of discretion over securitization gains through estimation of fair value of retained interest. In addition, I document that the substitution effect between the two tools is non‐existent in the post‐SFAS 166/167 period. Taken together, the findings have timely implications for accounting standards by informing the effect of risk retention that I measure through earnings management techniques. Moreover, my findings provide additional support for improved disclosures on assets‐backed securities.     

Pricing and capital requirements for with profit contracts: modelling considerations

The aim of this paper is to provide an assessment of alternative frameworks for the fair valuation of life insurance contracts with a predominant financial component, in terms of impact on the market consistent price of the contracts, the embedded options, and the capital requirements for the insurer. In particular, we model the dynamics of the log-returns of the reference fund using the so-called Merton (1976 Merton, RC. 1976. Option pricing when underlying stock returns are discontinuous. J. Finan. Econ., : 125–144.  [Google Scholar]) process, which is given by the sum of an arithmetic Brownian motion and a compound Poisson process, and the Variance Gamma (VG) process introduced by Madan and Seneta (1990 Madan, DB and Seneta, E. 1990. The variance gamma (VG) model for share market returns. J. Bus., 63: 511–524. [Crossref], [Web of Science ®] , [Google Scholar]), and further refined by Madan and Milne (1991 Madan, DB and Milne, F. 1991. Option pricing with VG martingale components. Math. Finan., 1: 39–45. [Crossref] , [Google Scholar]) and Madan et al. (1998 Madan, DB, Carr, P and Chang, E. 1998. The variance gamma process and option pricing. Eur. Finan. Rev., 2: 79–105. [Crossref] , [Google Scholar]). We conclude that, although the choice of the market model does not affect significantly the market consistent price of the overall benefit due at maturity, the consequences of a model misspecification on the capital requirements are noticeable.     

Portfolio selection under institutional procedures for short selling: Normative and market-equilibrium considerations

In view of the acceptance of short selling of stocks as an investment tool in the portfolio context by a growing number of institutional investors in recent years, the present study considers both normative and market-equilibrium aspects of portfolio selection with short selling. Under the full-information covariance structure of security returns, the study accurately captures institutional procedures for short selling without sacrificing analytical tractability. While short selling enhances the portfolio's risk-return trade-off from a normative perspective, the equilibrium analysis reveals that there is a continuum of market-clearing prices within two boundaries for each security. Economic implications of the equilibrium pricing relationship are also explored in the study.     

Perception of technological risk: insights from research and lessons for risk communication and management

Technology has become a familiar companion in all areas of life. Production consumption, administration, education, communication, and leisure activities are all shaped by the use of technologies. However, people often associate with the term ‘technology’ attributes, such as catastrophic and potentially dangerous, and tend to take the benefits of technological products for granted. This asymmetry in risk–benefit perception is one of the main reasons why many consumers are concerned about ‘hidden’ risks of technologies and why they demand stringent regulatory actions when they feel unduly exposed to potential emissions or waste products associated with the lifecycle of technologies. This situation is often aggravated by social amplification processes, by which even small risks receive high media attention and are blown out of proportion in the public arena. At the same time, however, one needs to acknowledge that many technologies have the potential to harm the human health and the environment. The purpose of this article is to review our knowledge about risk perception with respect to technologies, in particular emerging technologies, and to suggest possible strategies to use this knowledge for improving our risk management practice. Technological risk perception is defined in this article as the processing of physical signals and/or information about a potentially harmful impact of using technology and the formation of a judgment about seriousness, likelihood, and acceptability of the respective technology. Based on the review of psychological, social, and cultural factors that shape individual and social risk perceptions, we have attempted to develop a structured framework that provides an integrative and systematic perspective on technological risk perception and that may assist risk management and regulation in taking perceptions into account.     

Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China

Recent research has found a number of scaling law relationships in foreign exchange data. These relationships, estimated using simple ordinary least squares, can be used to forecast losses in foreign exchange time series from as little as one month’s tick data. We compare the loss forecasts from a new scaling law against six parametric Value at Risk models. Compared to these models, the new scaling law is easier to fit, provides more stable forecasts and is very accurate.     

采用信用风险模型计提监管资本:问题和对策

实施基于商业银行内部信用风险模型的资本监管制度对监管当局和商业银行都提出了严峻的挑战。信用风险计量模型不仅在理论上应经得起推敲,其计量结果在实证上需经得起检验,并且在不同银行间应具有可比性。本文为美联储的五位高级监管人员(Beverly J.Hirtle,Mark Levonian,Marc Saidenberg,Stefan Walter,David Wright)发表在《纽约联储经济政策评论》2001年3月号上的研究报告。该报告对采用风险计量模型计提信用风险资本所涉及的许多重大问题进行了深入讨论,揭示了内部评级法的技术原理,业界关于内部评级法的许多争论很大程度上都围绕这些问题展开,部分问题在新资本协议最终稿以及巴塞尔委员会发表的监管文件中可以找到答案,如时间跨度、使用测试、贷款损失准备处理、报告频率等;但有些问题仍未解决,讨论还在继续,如计量模型的具体形式、模型验证技术。本报告对于读者深入理解内部评级技术和监管要求具有很强指导作用。     

Quantitative models for operational risk: Extremes,dependence and aggregation

Due to the new regulatory guidelines known as Basel II for banking and Solvency 2 for insurance, the financial industry is looking for qualitative approaches to and quantitative models for operational risk. Whereas a full quantitative approach may never be achieved, in this paper we present some techniques from probability and statistics which no doubt will prove useful in any quantitative modelling environment. The techniques discussed are advanced peaks over threshold modelling, the construction of dependent loss processes and the establishment of bounds for risk measures under partial information, and can be applied to other areas of quantitative risk management.¹