A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality

Given that the prices of gold and silver have witnessed large and substantial swings in recent years, policymakers and investors need readily available and reliable forecasts of the prices of these two precious metals. Survey data of forecasts of the prices of gold and silver provide a particularly rich data environment for policymakers and investors to study developments in the markets for gold and silver. Our research helps to develop a deeper understanding of the properties of survey data of the prices of gold and silver. We study the shape of forecasters’ loss function and the rationality of their forecasts. Assuming an asymmetric loss function weakens evidence against forecast rationality, but results depend on the empirical model being studied.     

Quality competition and entry deterrence: When to launch a second brand

We study the rationale for an incumbent to launch a second brand when facing potential entry into a market with quality‐differentiated products and a fringe producer. Depending on market size, the cost of a second brand and a potential entrant's setup cost the incumbent might use a second brand both when deterring and when accommodating entry. For low costs of brand proliferation, the high‐quality firm will prevent entry with limit qualities or multiple brands. The high‐quality incumbent will accommodate entry only if it cannot be prevented. Accommodation is always accompanied by an additional brand safeguarding the premium brand.     

中国游客赴欧旅游组织机构的发展与未来任务

本文试图从全新思维角度阐明全球背景下中国出境旅游,特别是赴欧洲的出境旅游的特征.通过系统分析中国游客在不同文化情境下的旅游行为、中国游客赴欧旅游的动机和不同游客群体、中国和欧洲游客之间的知识鸿沟以及跨文化差异等基础上,提出中国与欧洲旅游组织机构的未来发展任务,并进一步指出从事中国出境游的经销商和企业应以顾客为定向,发展适合中国游客市场的旅游产品和营销战略.     

Why Distinguish Between Statistics and Mathematical Statistics–The Case of Swedish Academia

A separation between the academic subjects statistics and mathematical statistics has existed in Sweden almost as long as there have been statistics professors. The same distinction has not been maintained in other countries. Why has it been kept for so long in Sweden, and what consequences may it have had? In May 2015, it was 100 years since Mathematical Statistics was formally established as an academic discipline at a Swedish university where Statistics had existed since the turn of the century. We give an account of the debate in Lund and elsewhere about this division during the first decades after 1900 and present two of its leading personalities. The Lund University astronomer (and mathematical statistician) C. V. L. Charlier was a leading proponent for a position in mathematical statistics at the university. Charlier's adversary in the debate was Pontus Fahlbeck, professor in political science and statistics, who reserved the word statistics for ‘statistics as a social science’. Charlier not only secured the first academic position in Sweden in mathematical statistics for his former PhD student Sven Wicksell but also demonstrated that a mathematical statistician can be influential in matters of state, finance as well as in different natural sciences. Fahlbeck saw mathematical statistics as a set of tools that sometimes could be useful in his brand of statistics. After a summary of the organisational, educational and scientific growth of the statistical sciences in Sweden that has taken place during the last 50 years, we discuss what effects the Charlier–Fahlbeck divergence might have had on this development.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.     

Corporate Strategies for Managing Climate Risks

This paper focuses on organizations and their management of climate risks. Climate risks stem from continued changes in climate means and the increase in frequency and intensity of extreme weather events. We ask whether companies also apply the usual process of corporate risk management to climate risks. In seeking to answer this question, we review several literature streams in order to set out an initial theoretical reflection. Based on this we conducted an exploratory case study with 11 electric utilities. Our results illustrate that these companies perceive climatic changes as a material issue for their business. However, management has restricted knowledge about such climatic changes and thus cannot precisely determine the potential negative impacts on business activities. As a consequence, the companies have implemented a climate risk management that does not differ from the usual process of managing other business risks. Our results further illustrate that there is some variation in how individual firms manage climate risks: While risk identification and risk assessment are equally important for all electric utilities, there are differences in how management determines the direction of the individual response to climate risks. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.     

The people behind the scenes: Episodic volunteering at fundraising events

Nonprofit organizations (NPOs) have become increasingly dependent on episodic volunteers (EVs), those that would help carry out an event with little training and expectation to commit to future events. Despite its importance to the survival of NPOs, the use of EVs with respect to fundraising has received little research focus. Furthermore, none of the existing studies identified examined how fundraising EVs differ from other EVs. This study seeks to contribute to our understanding of fundraising EVs using a global perspective. Data were generated using surveys distributed in seven countries, tallying more than 4,000 respondents. Variables included demographic characteristics, previous donation and volunteer history, motives, mode of volunteering, and overall experience. The data were analyzed by applying between-group (logistic regression on participation) and within-group analysis (ordered logistic regression on willingness to participate in the future). Data were further analyzed by examining differences by country. We found that country, gender, religion, income, employment, history of donations, mode of volunteering, and several motives, both intrinsic and extrinsic, were significant in the logistic regression analysis of participation in fundraising episodic volunteering. The ordered logistic analysis unexpectedly found that the only predictors to foster a willingness to engage again were the responsiveness of the event team and a desire to fulfill spiritual satisfaction. In recruiting and selecting EVs for fundraising events, NPOs should consider previous or current donors and those with regular volunteering experience and they should market volunteer opportunities towards those in search of spiritual fulfillment and meaning. Moreover, NPOs should prioritize quick and clear communication with fundraising EVs in order to foster a willingness to volunteer again. Lastly, NPOs should regularly assess for country-specific factors and contexts that may affect episodic volunteering in fundraising events. Our paper illustrates who fundraising EVs are, their motives, how they choose to volunteer, and what contributes to their willingness to volunteer again. Given the limited research on fundraising EVs, this study serves to help lay the foundation of research for this unique subgroup. Our aim was to not only address the dearth of literature but serve as a springboard for future research on fundraising EVs.     

Incorporating sustainability criteria into credit risk management

Does a commercial debtor's economic, environmental and social performance in terms of sustainability affect its credit risk rating? Does adding criteria aimed at assessing a lender's environmental, social or sustainability practices provide added value to traditional financial rating criteria? Many analyses have reported that a correlation exists between companies' environmental and their financial performance. We checked out the assertion that it ‘pays to be sustainable’ by analyzing the role that criteria pertaining to sustainability and environmental orientation play in the commercial credit risk management process. Our results show that sustainability criteria can be used to predict the financial performance of a debtor and improve the predictive validity of the credit rating process. We conclude that the sustainability a firm demonstrates influences its creditworthiness as part of its financial performance. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.     

Does competitive pricing cause market breakdown under extreme adverse selection?

We study market breakdown in a finance context under extreme adverse selection with and without competitive pricing. Adverse selection is extreme if for any price there are informed agent types with whom uninformed agents prefer not to trade. Market breakdown occurs when no trade is the only equilibrium outcome. We present a necessary and sufficient condition for market breakdown. If the condition holds, then trade is not viable. If the condition fails, then trade can occur under competitive pricing. There are environments in which the condition holds and others in which it fails.