Did the Federal Crop Insurance Reform Act Alter Farm Enterprise Diversification?

We estimate how much United States farms changed enterprise diversification in response to a marked increase in crop insurance coverage brought about by the 1994 Federal Crop Insurance Reform Act, which substantially increased insurance subsidies. The analysis exploits farm‐level panel census data to compare farm‐specific changes in enterprise diversification over time. By examining diversification decisions of the same farms over time, we control for time‐invariant unobserved individual heterogeneity. We then use pooled cross‐sectional data from the United States Department of Agriculture (USDA) Agricultural Resource Management Survey to estimate the relationship between farm diversification and average returns. We find that the insurance subsidies caused a modest increase in enterprise specialisation and production efficiency. Estimated efficiency gains are far less than the subsidies.     

China Adopts EVA: An Essential Step in the Great Leap Forward*

At the start of 2010, the Central SASAC initiated a three‐year “Performance Assessment Policy” that has the potential to transform Chinese business practices. Since 2010, return on capital has been a major criterion in the performance evaluation and compensation of the senior managements of the 100 largest Chinese state‐owned enterprises. Although sales growth will still count for 60% of executive assessment, 40% will be determined by a simplified version of EVA, or Economic Value Added. The guiding principle behind the new policy is simple and straightforward: Executives of state‐owned enterprises are now being asked to manage capital more efficiently than they have in the past—and in much the same way that private enterprises are now expected to do. Observers might be inclined to downplay this change. The assessed cost for capital, at 5.5%, is well below the market's required rate of return. And SASAC may not allow the firms to close plants, make positions redundant, and lay off employees. Veteran managers may try to outlive the interest in EVA, expecting SASAC's new standards to be unenforced. But SASAC's leaders expect a few pioneering companies to take the framework farther than the guidelines demand. To the extent they succeed in creating value for their shareholders, these companies could help bring about important change at many other Chinese companies.     

Spatial statistical modelling of insurance risk: a spatial epidemiological approach to car insurance

Spatial models, such as the Besag, York and Mollie (BYM) model, have long been used in epidemiology and disease mapping. A common research question in these subjects is modelling the number of disease events per region; here the BYM models provides a holistic framework for both covariates and dependencies between regions. We use these tools to assess the relative insurance risk associated with the policyholders geographical location. A Bayesian modelling approach is presented and an elastic net is used to reduce the large number of possible geographic covariates. The final inference is performed using Integrated Nested Laplace Approximation. The model is applied to car insurance data from If P&C Insurance together with spatially referenced covariate data of high resolution, provided by Insightone. The entire analysis is performed using freely available R-packages. Including spatial dependence when modelling the number of claims significantly improves on the result obtained using ordinary generalised linear models. However, the support for adding a spatial component to the model for claims cost is weaker.     

The Stambaugh bias in panel predictive regressions

This paper analyzes predictive regressions in a panel data setting. The standard fixed effects estimator suffers from a small sample bias, which is the analogue of the Stambaugh bias in time-series predictive regressions. Monte Carlo evidence shows that the bias and resulting size distortions can be severe. A new bias-corrected estimator is proposed, which is shown to work well in finite samples and to lead to approximately normally distributed t-statistics. Overall, the results show that the econometric issues associated with predictive regressions when using time-series data to a large extent also carry over to the panel case. The results are illustrated with an application to predictability in international stock indices.     

Competition between Exchanges: Euronext versus Xetra

Exchanges in Europe are in a process of consolidation. After the failure of the proposed merger between Deutsche Börse and Euronext, these two groups are likely to become the nuclei for further mergers and co‐operation with currently independent exchanges. A decision for one of the groups entails a decision for the respective trading platform. Against that background we evaluate the attractiveness of the two dominant continental European trading systems. Though both are anonymous electronic limit order books, there are important differences in the trading protocols. We use a matched‐sample approach to compare execution costs in Euronext Paris and Xetra. We find that both quoted and effective spreads are lower in Xetra. The differences are more pronounced for less liquid stocks. When decomposing the spread we find no systematic differences in the adverse selection component. Realised spreads, on the other hand, are significantly higher in Euronext. Neither differences in the number of liquidity provision agreements nor differences in the minimum tick size or in the degree of domestic competition for order flow explain the different spread levels. We thus conclude that Xetra is the more efficient trading system.     

Labor unemployment risk and firm risk

This paper examines the effect of labor unemployment risk on firm risk. Using unemployment insurance benefits as a proxy for unemployment risk, we find an economically significant positive relation between unemployment risk and firm risk. This positive relation is more pronounced for firms that are more labor-intensive, have a higher layoff propensity and are more financially constrained. While existing literature that employs corporate policy measures such as debt and cash holdings suggests an opposite relationship, our paper presents evidence that the effects stemming from earnings management, earnings quality and reporting quality appear to dominate.     

Stock Recommendations in Swedish Printed Media: Leading or Misleading?

Abstract

This paper analyses the initiated and changed recommendations published in six well-known Swedish newspapers and business magazines for the period 1996–2000 using a buy-and-hold abnormal returns (BHARs) approach. The results distinguish between recommendations from analysts and journalists. Buy recommendations were misleading investors, whereas sell recommendations were leading them correctly, overall yielding returns in line with the market. This asymmetry is due to positive information from the management of the company being more intricate to interpret than negative. Both good and bad information provided by the management is generally positively biased, a phenomenon influencing both analyst and journalist recommendations. Following buy and sell recommendations from analysts yielded BHARs in line with those from journalists, which in turn generates returns in line with their peers. Going short in the recommended stocks, irrespective of type and origin, would lead to a 24-month BHAR of 14%.     

Genetische Untersuchungen im Versicherungsbereich – Offene Fragen im Rahmen von § 18 GenDG

The paper refers to legal questions that arise in connection with the collection and use of genetic data in the context of private insurance. The content and meaning of § 18 GenDG is described. Then, § 18 GenDG is set in relation to notification requirements out of the VVG. The paper exemplarily emphasizes that, despite the codification of GenDG, specific legal problems arise. Accordingly, the paper provides solutions to overcome these problems. Particular problems refer to the role of genetic data of third parties and according relations to the family history, possibilities to communicate genetic data by the insured in case of medical indication, the ratio of predictive and diagnostic genetic testing and the range of the total limits of § 18 I 2 GenDG.     

Market Response to Investor Sentiment

This paper reconsiders the effect of investor sentiment on stock prices. Our main contribution is that, in addition to the intermediate term return predictability, we also analyze the immediate price reaction to the publication of survey‐based investor sentiment indicators. We find that the sign of the immediate market response is the same as that of the predictability at intermediate time horizons. This is consistent with underreaction to cash flow news or with investor sentiment being related to mispricing. It is inconsistent with the alternative explanations of a rational response to cash flow news or sentiment indicators providing information about future expected returns.