Colliery Closures and the Decline of the UK Coal Industry

In the 10 years after the 1984–5 miners' strike, employment by British Coal and the number of pits it operated fell by more than 90%. In this paper data for each of British Coal's collieries are used to analyse the pattern of pit closure. The pits that closed were systematically smaller, less productive and less profitable than those that survived. A model is estimated to capture the degree to which closure decisions reflect performance variables, and it is found that low productivity was the most important indicator of vulnerability to closure. However, closures were by no means exclusively concentrated on the worst performers, and many of the pits that were closed at the end of the period had achieved very large increases in productivity over the years preceding closure.     

Contagion or Competition: Going Concern Audit Opinions for Real Estate Firms

We examine whether intra–industry information transfers from going–concern audit opinion announcements create contagion or competitive stock price reactions for other real estate firms operating in the same line of business. Using returns from publicly-traded land subdivision/development firms and Real Estate Investment Trusts, we find modest evidence supporting a competitive effect among rival firms as a result of another real estate firm announcing the receipt of a Going Concern Opinion (GCO) from its independent auditors.     

Technology and Rights

What do we know about technology and rights? This article provides a fairly comprehensive overview of current issues regarding this topic. We explore and analyse a wide spectrum of rights that are challenged in this current era of technological convergence. We use the United States Bill of Rights as an example of the vulnerability of legal protections for rights against particular political and technological changes in this post 9-11 climate. New streams of rights acting as a safeguard against further incursions of technology into civil liberties are explored. We also address intellectual property rights and international trends in copyright, patent and trademark laws. We question whether these issues of technology and rights have a place in current technological literacy scenarios.     

Measuring new product success: an empirical investigation of Australian SMEs

New product development (NPD) has long been recognised as one of the corporate core functions. However, measuring new product success has remained elusive. This paper attempts to examine several conceptual issues underlining the measurement of new product success and the measurement practice adopted in Australian small and medium enterprises (SMEs). The sample included 276 SMEs from two most innovative industries: chemical and machinery industries. Results have indicated that four factors underline the commonly used success measurement: financial performance, objective market acceptance, subjective market acceptance, and product-level measures. These four factors are related to each other and can be used to well predict the overall measurement. The most frequently used specific measures in Australian SMEs are customer acceptance, customer satisfaction, product performance, and quality.     

Compensation, Incentives, and the Duality of Risk Aversion and Riskiness

The common folklore that giving options to agents will make them more willing to take risks is false. In fact, no incentive schedule will make all expected utility maximizers more or less risk averse. This paper finds simple, intuitive, necessary and sufficient conditions under which incentive schedules make agents more or less risk averse. The paper uses these to examine the incentive effects of some common structures such as puts and calls, and it briefly explores the duality between a fee schedule that makes an agent more or less risk averse, and gambles that increase or decrease risk.     

Scientific methods in finance

Computer software can easily produce many financial models with technical skill, but investigators need to interpret and adapt computer output. Such analysis requires a deep knowledge of scientific fundamentals. We argue that an evidential perspective is more appropriate than a decision framework for model selection. We discuss four necessary conditions for any scientific investigation: observables, interpretables, replicables, and robustness in the context of examples familiar to finance professionals. Carefully planning the design of an experiment is the best way to address many econometric maladies. Furthermore, we emphasize the need for more sensitivity testing and for independent replication of empirical results within the finance profession.     

How Banks' Value-at-Risk Disclosures Predict their Total and Priced Risk: Effects of Bank Technical Sophistication and Learning over Time

Using a sample of eight large commercial banks from 1994 to 2000, Jorion (2002) finds that banks' VaR disclosures for their trading portfolios predict trading income variability. We extend Jorion's findings using a larger sample of 17 banks from 1997 to 2002 reporting trading VaRs under FRR No. 48 (1997). We find that banks' trading VaRs have predictive power for trading income variability that increases with bank technical sophistication and over time. We find that banks' trading VaRs have predictive power for a bank-wide measure of total risk, return variability, and for two bank-wide measures of priced risk, beta and realized returns.     

Short-Sale Restrictions and Price Clustering: Evidence from SEC Rule 201

We provide a novel test of information-based theories of price clustering by examining trade, order, and the National Best Bid and Offer (NBBO) quote price clustering during periods when information is removed from the market. We use a natural experiment of short-sale restrictions resulting from Securities and Exchange Commission (SEC) Rule 201 to more effectively determine the impact of information on price clustering. We find evidence of increased price clustering for trades, orders, and NBBO prices during short-sale restrictions. Overall, our findings indicate that short-sale restrictions harm the price discovery process and lead to a reduction in market efficiency.     

Credit Risk Research: Review and Agenda

This article provides a comprehensive review of scholarly research on credit risk measurement during the last 57 years applying bibliometric citation analysis and elaborates an agenda for future research. The bibliography is compiled using the Institute for Scientific Information (ISI) Web of Science (WOS) database and includes all articles with citations over the period 1960–2016. Specifically, the review is carried out using 1695 articles across 72 countries published in 442 journals by 2928 authors. The findings suggest that credit risk research is multifaceted and can be classified into six streams: (1) defaultable security pricing, (2) default intensity modeling, (3) comparative analysis of credit models, (4) comparative analysis of credit markets, (5) credit default swap (CDS) pricing, and (6) loan loss provisions. The article contributes through synthesizing and identifying existing as well as emerging research streams.