variances, and firm-specific event periods. Their method, which nests traditional methods, also permits systematic risk to … systematic risk of the acquiring firms, significant ARCH effects, and an event period that ends before the date of the … cannot account for information leakage may be biased, and (2) changes in systematic risk can occur in the absence of abnormal …

This paper uses minimum-variance (MV) admissible kernels to estimate risk premia associated with economic risk … variables and to test multi-beta models. Estimating risk premia using MV kernels is appealing because it avoids the need to 1 …) identify all relevant sources of risk and 2) assume a linear factor model for asset returns. Testing multi-beta models in terms …

The agriculture of the Central-Eastern European countries were considerably transformed during the 1990s. The property … competitiveness. Producers in the agriculture of Western European countries represent major market power due to the cooperation models …

Risk plays an important role in agricultural decision-making, particularly in those regions that are remarkably exposed … conditions, risk attitudes and risk management techniques with respect to the requirements of a functioning crop insurance system …

main aspects of insurance as one tool of risk management in agriculture. Thus, our purpose is to give the reader … to receive more up-to-date information about insurance in agriculture. Accordingly, we have tried to shed light on the …

leads to significantly larger agricultural investment and riskier production choices in agriculture. The salient constraint … to farmer investment is uninsured risk: when provided with insurance against the primary catastrophic risk they face … basis risk associated with the index insurance, and with imperfect trust that promised payouts will be delivered. …

of insurance. Third, we help answer the puzzle why the most risk averse are least likely to take up agricultural …