PEDAKSI: Methodology for Collecting Data about Survey Non-Respondents

The effects of unit non-response on survey errors are of great concern to researchers.However, direct assessment of non-response bias in survey estimates is rarely possible.Attempts are often made to adjust for the effects of non-response by weighting, but thisusually relies on the use of frame data or external population data, which are at bestmodestly correlated with the survey variables. This paper reports the development ofa method to collect limited survey data from non-respondents to personal interviewsurveys and a large-scale field test of the method on the British Crime Survey (BCS).The method is shown to be acceptable and low cost, to provide valid data, and to haveno detrimental effect on the main survey. The use of the resultant data to estimatenon-response bias is illustrated and some substantive conclusions are drawn for the BCS.     

Exchange rate exposure and foreign exchange derivatives: do ineffective hedgers modify future derivatives use?

Recent studies examining the relationship between stock returns and exchange rate changes have provided evidence that the exchange rate exposure of non-financial companies is reduced by the use of foreign exchange derivatives. Building on such research, this study investigates whether past ineffective derivative hedging contributes to explaining future derivatives use. To the extent that companies monitor the effectiveness of their currency risk management practices, past ineffective hedgers can be expected to modify their future use of foreign exchange derivatives accordingly. In our study of 94 non-financial US multinationals, we provide evidence that the change in derivatives use from 1996–1998 to 1998–2000 can be explained in part by the ineffective hedging of currency risk in 1996–1998, controlling for variables associated with theories of optimal hedging. Additional analyses confirm that such primary results are robust to firm size, the level of foreign operations, and the use of derivatives to partially hedge currency risk. Our results imply that as exchange markets and risk management practices change, the use of derivatives to manage exchange rate risk also changes. Our contribution to this field of study is that we find evidence that past ineffective hedgers tend to increase their future use of FXDs.     

Analysts' Forecasts and the Broker Relationship

Analysts' ability to forecast earnings per share has been the subject of considerable debate. A concern highlighted in previous research is the agency problem which may arise when analysts have a close working relationship with the firms for which they are providing forecasts. This paper provides evidence that this relationship does not improve the accuracy of the earnings forecasts, but stimulates optimistic forecasts. In addition, the paper examines whether firm size is a factor in forecast accuracy or bias.     

Ex-Day Price Behaviour, Market Microstructure and Settlement Costs

It is well documented that share prices on ex-dividend days drop by less than the value of the dividends paid. However, the explanations offered to date remain inconclusive. This study examines the behaviour of share prices on ex-dividend days using data from the UK after the introduction of the 1988 Income and Corporation Taxes Act. Following [10] we sub-divide the data conditional on the size of the dividend paid. We find that for the large dividend sub-sample, when the impact of market micro-structure is taken into account, the ex-dividend price drop is not significantly different to the value of the dividend paid.     

中美生物技术合作

I see a big growth potential for the US and Chinese biotechnology partnerships for the next years. US biotechnology sector is generating already more than $50 billion dollars. Chinese bio-technology will grow in the next 20 years to more than 11 billion yuan (US 1.33 billion) annually.     

Cross-sectional earnings risk and occupational sorting: The role of risk attitudes

This paper investigates to what extent individuals' risk preferences are correlated with the cross-sectional earnings risk of their occupation. We exploit data from the German Socio-Economic Panel, which contains a direct survey question about willingness to take risks that has been shown to be a behaviorally valid measure of risk aversion. As a measure of earnings risk, we use the cross-sectional variation in earnings that is left unexplained by human capital variables in Mincerian wage regressions. Our evidence shows that individuals with low willingness to take risks are more likely to work in occupations with low earnings risk. This pattern is found regardless of the level of occupation categories, region, gender and labor market experience.     

Potential implications of COVID-19 on the Canadian pork industry

Canada and the United States have strong economic ties and form part of an integrated North American pork industry. Canada's pork industry is export-oriented, and the United States represents a key market for both live pigs and pork. Pork value chain stakeholders include input suppliers, pig producers, transportation companies, slaughter plants, wholesalers, and retailers. There are three overriding areas of concern for the Canadian pork industry with respect to potential impacts of the current pandemic (COVID-19). The first is Canada/US trade and the ability to continue exporting Canadian live pigs and pork to the United States. The second is labor and the impact of potential absenteeism on all sectors of the pork value chain. The third is global trade, because Canada's pork industry relies heavily on exporting pork to markets around the world.