Why Do Property‐Liability Insurers Destroy Liquidity? Evidence from South Africa

This paper examines liquidity creation behaviour in the property‐liability insurance market in South Africa. Using annual data on 76 insurers from 2007 to 2014, the paper employs the three‐stage approach to estimate liquidity creation. The results suggest that property‐liability insurers are characterised by liquidity destruction by transforming liquid assets in cash and investable securities into illiquid reserves liabilities. The findings also indicate that the R1.32 billion in liquid assets were transformed into illiquid reserves liabilities in 2014, an increase from the R700 million liquidity de‐created in 2007. The increases were mainly driven by large insurers which accounted for about 70% liquidity de‐created. The results of panel regression analysis provide evidence in support of the “risk‐absorption” hypothesis which argues that high levels of capital increases liquidity creation. In addition, size, leverage and reinsurance were also identified as the firm‐level factors that explain liquidity creation. The policy implications of the findings are discussed.     

The Attributes of a Costly Recall: Evidence from the Automotive Industry

While researchers have extensively documented the equity response to product recalls and subsequent shareholder losses, less attention in the literature has been given to examining the damaging recall attributes. Using 1973–1998 automotive safety recall data, this study identifies the kinds of recalls that cause significant shareholder losses. After constructing an equally-weighted automotive market index to control for industry effects and adjusting the abnormal returns to account for the degree of surprise in the recall announcement, the study estimates both percentage and real dollar abnormal returns. We find that the indirect costs of automotive recalls are likely larger than the direct costs.     

An alternative definition of individual bioequivalence

Several definitions of individual bioequivalence of two formulations of a medical treatment (drug) have been proposed recently. These definitions attempt to adapt the criterion of average bioequivalence, which would be deficient if substantive treatment heterogeneity were present. In some of the proposed definitions, relatively large differences of means can be compensated by differences in the measurement-error variances. We propose a definition based on a simple latent-variable model which overcomes this anomaly and need not involve the U.S. Food and Drug Administration's 80/125 rule. Our approach is based on a moment-matching estimator of the discrepancy between the outcomes underlying the subjects' responses. The distribution of this estimator is a linear combination of independent χ² variates; asymptotically, it can be approximated by a normal distribution. Evidence of individual bioequivalence corresponds to rejecting the hypothesis that the discrepancy is greater than a specified threshold. The approach is illustrated by reanalysing two bioequivalence trials.     

Organizational ambidexterity and financial performance in the banking industry: evidence from a developing economy

Journal of Financial Services Marketing - The paper examined the relationship between organizational ambidexterity on the attitude of employees and the financial performance of the banking sector...     

Expected shortfall estimation for apparently infinite-mean models of operational risk

Statistical analyses on actual data depict operational risk as an extremely heavy-tailed phenomenon, able to generate losses so extreme as to suggest the use of infinite-mean models. But no loss can actually destroy more than the entire value of a bank or of a company, and this upper bound should be considered when dealing with tail-risk assessment. Introducing what we call the dual distribution, we show how to deal with heavy-tailed phenomena with a remote yet finite upper bound. We provide methods to compute relevant tail quantities such as the Expected Shortfall, which is not available under infinite-mean models, allowing adequate provisioning and capital allocation. This also permits a measurement of fragility. The main difference between our approach and a simple truncation is in the smoothness of the transformation between the original and the dual distribution. Our methodology is useful with apparently infinite-mean phenomena, as in the case of operational risk, but it can be applied in all those situations involving extreme fat tails and bounded support.     

The evolution of the January effect

This paper extends recent studies of the January effect by investigating the evolution of the daily pattern of the effect across size deciles. Our evidence documents a sizable mean reverting component beginning in the latter part of January and a shorter duration of the seasonal effect. Despite lower abnormal returns in the second part of January, higher abnormal returns in the first part of January keep the magnitude of the January effect unchanged. Further analysis of daily trading volumes suggests a stable trading volume intensity in the first part of January and a substantial decline in trading volume intensity in the second part of January.     

Election predictions as martingales: an arbitrage approach

The more volatile the prediction the closer to an even call     

中国经济再平衡的算术题

本文认为,只要中国经济保持较快增长,降低投资增速,扩大消费支出,实现年均GDP增速7.5%,投资占GDP比重年均下降1%,消费水平年均增长9.7%,中国可能在10年内实现经济再平衡。而且,政治改革并非经济再平衡的前提条件。