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.     

Technology infusion in service encounters

Service encounters are critical in all industries, including those that have not been traditionally defined as service industries. The increasing deployment of technology is altering the essence of service encounters formerly anchored in a “low-tech, high-touch” paradigm. This article explores the changing nature of service, with an emphasis on how encounters can be improved through the effective use of technology. The authors examine the ability of technology to effectively (1) customize service offerings, (2) recover from service failure, and (3) spontaneously delight customers. The infusion of technology is examined as an enabler of both employees and customers in efforts to achieve these three goals. Although the infusion of technology can lead to negative outcomes and may not be embraced by all customers, the focus of this article is on the benefits of thoughtfully managed and effectively implemented technology applications. Past research and industry examples are featured and future research directions and managerial implications are highlighted. Mary Jo Bitner is the AT&T Professor of Services Marketing and Management and the research director of the Center for Services Marketing & Management at Arizona State University. Her research focuses on customer evaluations of service, selfservice technologies, and service delivery issues. She has published in theJournal of Marketing, theJournal of the Academy of Marketing Science, theJournal of Business Research, theJournal of Retailing, and theInternational Journal of Service Industry Management. She is coauthor of the textServices Marketing (McGraw-Hill, 2d ed., 2000). Stephen W. Brown holds the Edward M. Carson Chair of Services Marketing and Management, is Professor of Marketing, and director of the Center for Services Marketing & Management at Arizona State University. His research focuses on services marketing strategy, service delivery, customer loyalty, and service recovery. He has published in theJournal of Marketing, theJournal of Marketing Research, theJournal of the Academy of Marketing Science, theJournal of Business Research, and theJournal of Retailing. He is the coeditor of theAdvances in Services Marketing and Management series. Matthew L. Meuter is Assistant Professor of Marketing at Villanova University with a Ph.D. in marketing from Arizona State University. His research interests focus on the impact technology has on the marketing function, the changing nature of technologically based service encounters, customer satisfaction with self-service technologies, and customer adoption of technologically based service delivery innovations. His research has been published in the American Marketing Association's (AMA)Educators' Proceedings and has been presented at several national conferences.     

TOWARD BRIDGING THE GAP BETWEEN THEORY AND EMPIRICAL REALITY

Introductory (i.e. first year) undergraduate learners often perceive economics to be remote from reality and overly theoretical, leading to a lack of motivation and enthusiasm to study economics. A general survey of curriculum practice reveals that lecture materials and the pedagogic approach to teaching introductory economics often do not place the current “mainstream” economic theory into its philosophical context. The result being that the learners are unable to bridge the gap between abstract economic theory and empirical reality. This paper argues that research into effective teaching and learning should focus not only on learner characteristics but also on curriculum content and its philosophical underpinnings, in order to research why students hold these negative perceptions. The paper recommends that introductory undergraduate teaching needs to engage in a critical examination, with the learner, of the philosophical underpinnings of “mainstream” economic theory and to introduce debates about the implications of these into the curriculum. This would create exciting new opportunities for teachers and learners to explore the connections between economic theory and social science in general and should come a long way in changing the negative perceptions of introductory undergraduate economics.     

Measurement of patient-reported outcomes. 1: The search for the Holy Grail

Abstract

Patient-reported outcome measures (PROMs) are used to collect information directly from patients. They may cover several different types of outcomes ranging from symptoms, functioning, utility, satisfaction, through to quality-of-life (QoL). They generally consist of self-completed questionnaires that can be administered by means of hard copies or in a range of electronic formats. PROMs vary considerably in terms of the constructs they assess, the care with which they are developed, and their scientific quality. However, none of the PROMs available approach the quality of measurement achieved by measures/instruments used in physics. PROs are examples of latent variables. These are not directly observable, but can be inferred from, for example, responses to a questionnaire. The only measure of a latent variable that approaches the quality of measurement achieved by the physical sciences is the Lexile Framework for Reading. This framework is based on a construct theory that grew out of an analysis of several available reading measures. A specification equation was generated that was able to link the construct theory to scores obtained with the Lexile measure. A fundamental requirement of this quality of measurement is that the data collected with the model fit Rasch Measurement Theory (RMT). It is argued that PROM developers should aspire to match this level of measurement sophistication if their instruments are to provide valid insights into the impacts of disease and its treatment.     

The Effect of Changes in Monetary Policy on Consumer and Business Confidence

This article examines the response of consumer and business confidence to five measures of change in Australian monetary policy. Actual, expected and surprise increases in the official cash rate target and related interest rates are shown to negatively impact consumer sentiment. Business confidence is less affected by increases in the cash rate target, but is negatively affected by an increase in the 90-day bank accepted bill rate. Tests for model stability and asymmetries in the response of sentiment to increases and decreases in interest rates otherwise find only limited evidence for monetary policy having a perverse signalling effect on sentiment.