Forecasting the fragility of the banking and insurance sectors

Linkages between banks and insurance companies are important when forecasting the fragility of the banking and insurance sectors. We propose a novel empirical framework that allows us to estimate unobserved linkages in panel data sets that contain observed regressors. We find that taking unobserved common factors into account reduces the root mean square forecasts error of firm specific forecasts by up to 9%, of system forecasts by up to 14%, and by up to 39% for systemic forecasts of more distressed firms relative to a model based on observed variables only. Estimates of the factor loadings suggest that the correlation of financial institutions has been relatively stable over the forecast period.     

Analyst Earnings Forecasts for Publicly Traded Insurance Companies

Several trends in the insurance and financial services industry, including demutualizationconsolidation, and deregulation, have attracted increasing attention from investors and financial analysts. This paper investigates the accuracy of the earnings forecasts of financial analysts for insurance companies. Our empirical results indicate that analyst forecasts outperform random walk time-series forecasts. Furthermore, we find that both disagreement over earnings forecasts among analysts and the relative forecasting error in the mean forecasts is smaller for life insurers than for property-casualty insurers, whereas the relative errors for forecasts for multiple-line insurers are in between the two. Forecasting error is a negative function of firm size and the number of analysts who are following a company, and is a positive function of the disagreement among analysts.Analyst forecasts have a timing advantage over the random walk model. Our results also suggest that the fair value reporting requirement (SFAS 115), which has been in effect since 1994, has enhanced the accuracy of analyst forecasts. The SFAS 115 has improved the superiority of analyst forecasts over the random walk forecasts for life insurers, but not for property-casualty insurers, and there is a weak improvement for multiple-line insurers. JEL Classification: G15     

Reliability of risk management: Market insurance,self-insurance and self-protection reconsidered

This paper examines the three main tools of risk management in a setting where reliability cannot be guaranteed. Thus, for example, insurers might be insolvent, sprinkler systems might be inoperative and alarm systems might be faulty. These types of nonreliability are shown to have significant consequences for risk management. In particular, the relationships between increased risk aversion and the use of the various risk management tools do not carry over from models with full reliability. Moreover, the well-known result of Ehrlich and Becker, that market insurance and selfinsurance are substitutes, is shown to fail in the presence of nonreliability risk.     

A Simultaneous Equations Analysis of Analysts' Forecast Bias, Analyst Following, and Institutional Ownership

In this paper we use a simultaneous equations model to examine the relationship between analysts' forecasts, analyst following, and institutions' investment decisions. Estimates of our three equation model using US data indicate that higher institutional demand leads to greater optimism among analysts and lower analyst following. At the same time, institutional demand increases with increasing optimism in analysts' forecasts but decreases with analyst following. We also investigate firm characteristics as determinants of analysts' and institutions' decisions. Empirical estimates of the effects of these characteristics indicate that agency‐driven behavioral considerations are significant.     

Asset management in the German insurance industry: the quality of interest rate forecasts

Chopra and Ziemba (J.?Portf. Manag. 19: 6?C11, 1993) show that for asset only allocations the return forecasts are more important than assumptions about the variance-covariance matrix of the returns. Following Basse et al. (ZVersWiss 96: 617?C648, 2007) the same holds true for the asset liability management (ALM) of insurance companies. Given the high quotas of bonds in the real as well as optimized insurance portfolios, interest rate forecasts are of exceptional importance. Therefore this paper examines some of these estimates for the European market using techniques of time series analysis. A?set of criteria for the evaluation of the forecasts is presented. While some results seem to be quite favorable for forecasters, others indicate that none of the analyzed forecasts seems to provide relevant information about the future development. There is lot of evidence showing that interest rates are very difficult to predict. Some hints clearly point towards herd behavior among forecasters.     

Linear pooling of potentially related density forecasts in crop insurance

Accurate pricing of crop insurance policies relies on forecasts of probability densities of crop yields. Yield densities are dynamic, time series data on yields are often limited, and yield data are spatially correlated. We examine linear pooling of potentially related, but almost surely misspecified, crop yield density forecasts. The pooled forecasts combine densities from other spatial units based on out-of-sample forecast performance. The pooled densities result in more accurate premium rates which can reduce incentives for adverse selection. The approach is applicable to any insurance setting where the statistical model for the loss variable is likely to be misspecified and the underlying data-generating processes are potentially related.     

Processes and Accuracy of Cash Flow Forecasting: A Case Study of a Multinational Corporation

Despite its pivotal importance in enterprise management, cash flow forecasting gets little attention from academics perhaps because few of them have access to internal processes and data. In this article, however, the authors explain how cash flow forecasting is organized at Bayer, a large multinational company headquartered in Germany, and which factors influence the accuracy of its forecasts. The research focuses on cash flow forecasts based on the direct method, prepared three times a yearat Bayer, involving about 62,000 individual forecasting items each time. These forecasts form the basis of the company's liquidity and financial risk management, in particular, its foreign exchange risk hedging. The authors explain how local managers in Bayer's entities across the world derive the forecasts, i.e., what information they use as input, how they validate it, and how they deal with potential bias caused by managerial incentive systems. They also analyze whether forecasting processes are affected by characteristics such as business area, size, region, or specific local conditions, and ultimately whether forecasting practices and entity characteristics affect forecast accuracy. The findings show that cash flow forecasting procedures vary substantially across Bayer. While the central finance department gives general guidance on the required cash flow forecasting output and provides direction on the input to be used, there are no detailed instructions on how forecasts are to be prepared. Instead, local managers are free to determine their own forecasting practices. They use different forecasting inputs and validate forecasting inputs and output with different intensities, and they also differ in how they treat possible biases in input data. These findings document the limits of standardization and central control in large multinational corporations resulting from local managers’ need for flexibility to cope with the heterogeneity and dynamism of their environments. At the same time, however, local differentiation increases complexity and may increase errors. Quantitative analysis of forecasting errors shows that forecasts of receipts from customers (cash inflows) are more accurate than forecasts of payments to suppliers (cash outflows). Moreover, forecasting practices affect forecast accuracy. Outflow forecasts are more accurate if managers intensively validate forecasting input; inflow forecasts, if they eliminate input biases that may result from internal target setting or from other managerial incentives, and if they carefully validate their forecasting output. The study provides several insights.

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农村小额人身保险的制度经济学分析

在我国,农村小额人身保险作为低收入农村居民的风险管理手段,其产生与发展是一定制度环境下的创造性变革。以新制度经济学理论为基础,立足于我国农村居民风险管理初始制度安排,指出农民风险管理制度供给不足是促使小额人身保险制度产生的基础,并对商业保险公司在农村小额人身保险制度变迁中的收益和成本进行分析,最后从政府行为选择、制度耦合等角度探讨建立可持续性的小额人身保险制度安排。     

Insurance Derivatives: A New Asset Class for the Capital Markets and a New Hedging Tool for the Insurance Industry

The number and severity of natural catastrophes has increased dramatically over the last decade. As a result, there is now a shortage of capacity in the property catastrophe insurance industry in the U.S. This article discusses how insurance derivatives, particularly the Chicago Board of Trade's catastrophe options contracts, represent a possible solution to this problem. These new financial instruments enable the capital markets to provide the insurance industry with the reinsurance capacity it needs. The capital markets are willing to perform this role because of the new asset class characteristics of securitized insurance risk: positive excess returns and diversification benefits.
The article also demonstrates how insurance companies can use insurance derivatives such as catastrophe options and catastrophe-linked bonds as effective, low-cost risk management tools. In reviewing the performance of the catastrophe contracts to date, the authors report promising signs of growth and liquidity in these markets.     

Flu Fallout: Information Production Constraints and Corporate Disclosure

Using influenza epidemic data, we examine how constraints on corporate information production affect disclosure policies. We find that firms in areas with higher flu activity are less likely to issue short-run earnings forecasts and more likely to issue long-run earnings forecasts. These results are more pronounced when the information production process is more complex, when managers face a greater reputational loss for issuing low-quality short-run forecasts, and when firms’ costs of switching the forecast horizon are lower. Further analysis implies that the effect of flu activity on these forecast issuance decisions is not driven by firm performance or information uncertainty. Our results suggest that managers do not simply avoid issuing forecasts in response to information production constraints. Instead, they shift the forecast horizon from short-run to long-run, appearing to balance the costs of issuing low-quality forecasts with those of not issuing forecasts at all.     

Confirming Management Earnings Forecasts, Earnings Uncertainty, and Stock Returns

In this study we examine the association among confirming management forecasts, stock prices, and analyst expectations. Confirming management forecasts are voluntary disclosures by management that corroborate existing market expectations about future earnings. This study provides evidence that these voluntary disclosures affect stock prices and the dispersion of analyst expectations. Specifically, we find that the market's reaction to confirming forecasts is significantly positive, indicating that benefits accrue to firms that disclose such forecasts. In addition, although we find no significant change in the mean consensus forecasts (a proxy for earnings expectations) around the confirming forecast date, evidence indicates a significant reduction in the mean and median consensus analyst dispersion (a proxy for earnings uncertainty). Finally, we document a positive association between the reduction of dispersion of analysts' forecasts and the magnitude of the stock market response. Overall, the evidence suggests that confirming forecasts reduce uncertainty about future earnings and that investors price this reduction of uncertainty.     

Asymmetry,Complementarities, and State Dependence in Federal Reserve Forecasts

Forecasts are a central component of policymaking; the Federal Reserve's forecasts are published in a document called the Greenbook. Previous studies of the Greenbook's inflation forecasts have found them to be rationalizable but asymmetric if considering particular subperiods, for example, before and after the Volcker appointment. In these papers, forecasts are analyzed in isolation, assuming policymakers value them independently. We analyze the Greenbook forecasts in a framework in which the forecast errors for different variables are allowed to interact. We find that allowing the losses to interact makes the unemployment forecasts virtually symmetric, the output forecasts symmetric prior to the Volcker appointment, and the inflation forecasts symmetric after the onset of the Great Moderation.     

人寿保险行业市场开放度效率研究

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Unterschriftenpads in der Kranken- und Lebensversicherung – Zur Vereinbarkeit der Verwendung eigenhändig unterzeichneter elektronischer Dokumente mit den Formvorschriften für den Vertragsabschluss in der Kranken- und Lebensversicherung

Insurance business is more and more based upon ecommerce and internet. But this situation causes legal problems. Insurance regulations are often based on the obligation to close contracts or to submit documents in a written form. This obligation prevents insurance business from using new modern tools like for instance PADs and tablet computers for the transmission of consumer data to the IT center of an insurance company. The following considerations deal with the use of tablet PCs and internet in life and health insurance business and tries to demonstrate that the written form required by law is not a real obstacle in insurance business.     

From me to you: Measuring connectedness between Eurozone financial institutions

This paper aims to analyse the tail risk spillover between banks, insurance companies and the shadow banking system in the Eurozone contest. These intra-sectoral interdependencies between financial market participants have contributed to the spread of instability in the financial system. Therefore mapping these links is important for policy-makers to provide supervisory tools and can be a key input into the design of macroprudential policies. For this purpose, we adopt the Tail-Event driven NETwork (TENET) risk model. The TENET is a useful method to map the tail interconnection between the three sectors and to provide systemic risk measures that take into account the “too big to fail” and “too big to interconnected” concepts. The results suggest that each financial sector has a significant impact on the other. By comparing the contribution of each sector, we show that banks are the largest emitters of risk. However, also shadow banking firms are systemic important, given their high level of connection. The work provides a clear view of risk spillovers and interconnection dynamics during the crisis providing a meaningful ranking of the systemic important financial institutions.     

Dementia screening using computerized tests

The preclinical phase of dementia usually precedes the clinical diagnosis by many years. Early detection of dementing conditions during this preclinical phase may provide opportunities for treatments that may slow or mitigate progression. Conventional assessment tools usually can only detect dementia when the symptoms are overt and the disease is well-established. Computerized neurocognitive screening tools hold promise for diagnosing dementia in its early phase. The use, performance and development of several computerized screening tools to diagnose and monitor patients with pre-dementias and dementia are reviewed. The ability to accurately assess the presence of dementia clearly has direct relevance to insurance risk assessment and risk management. As new treatments appear, their role in clinical management of dementia patients will increase as well. In a future issue, the differential diagnosis of dementias related to the findings on these screening tools will be reviewed.     

Management earnings forecasts,insider trading,and information asymmetry

We investigate whether senior officers use accrual-based earnings management to meet voluntary earnings disclosure (i.e., management earnings forecasts) before selling or buying their own shares when they have private information. This study is the first to use the differences in timing of trades by senior officers and other insiders (e.g., directors or large shareholders) to infer information asymmetry. We hypothesize that the timing of senior officers' trades with no other insiders' trades at the same time indicates opportunistic trades and asymmetric information between senior officers and other insiders. Our results show that senior officers' exclusive sales are negatively associated with future returns, indicating that they tend to use insider information. Moreover, senior officers are more likely to meet their earnings forecasts when they plan to sell stocks.     

技术进步、保险保障与农民收入——基于东中西部地区地级单位的面板GMM方法

使用面板GMM方法,对我国322个地级行政单位2007-2015年数据进行实证研究,结果发现,总体上农业技术进步与农业保险保障对农民收入具有正向作用,但部分区域存在不同结论;同时,农业技术与农业保险的协同效应并没有在保障农民收入方面很好地发挥作用.为此,在政策制定过程中,一方面应重视区域间的差异性,另一方面应强化技术与保障两种工具之间的协同效应.     

Drought risk in Nicaragua: a crop,region and technology-specific empirical evaluation

Nicaraguan agriculture is largely rainfed. Drought risk is endemic, consistently wiping out large proportions of potential crop production. An insurance programme that would shift drought risk from farmers could therefore have significant welfare effects. A first step towards analysing drought insurance is the establishment of the empirical connection between rainfall levels and the risk of low returns to crop production. Having reviewed the nature of the agricultural insurance problem and the promise held out by drought insurance, we carry out a preliminary empirical analysis of drought risk. This is done by combining agronomic, economic and meteorological data to predict the probability that economic returns to a particular crop-region-technology combination will fall below a minimum. Four insights emerge: (1) Of the crops analysed, maize, sesame, soybeans and sorghum are the most affected by drought risk; (2) drought risk levels vary considerably across regions; (3) risk levels are also considerably affected by the choice of technology, the shifting of risks via insurance may remove a significant impediment to agricultural modernization; and (4) for some crops in some regions, the risk levels may be too high to allow successful operation of private drought insurance markets. Hence government subsidies may be in order.     

Capital mobility,wage bargaining,and social insurance policies in an economic union

In a two-country model with mobile capital we analyse decentralized social insurance policies. These policies are a compromise between the preferences of workers and capital owners. Due to wage bargaining, worker-based social insurance contributions are borne by capital owners. These contributions affect the profitability of investment, and consequently the direction and size of capital flows. Countries will take account of these effects in determining social insurance policy. Noncooperative decision making results in tax competition and an underprovision of social insurance. In addition, increasing economic integration, represented by increasing capital mobility, could imply a divergence of social insurance levels in the two countries.