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.     

Decomposing the market,industry, and firm components of profitability: implications for forecasts of profitability

Academics and practitioners frequently highlight that overall market and industry performance is an important aspect of a firm’s profitability. However, few studies allow for the decomposition of a firm’s profitability into market, industry, and idiosyncratic components, and those that do often assume that the market and industry components are cross-sectional constants. In this study, we allow for variation in firm-specific sensitivities to market, industry, and idiosyncratic economic shocks, and then assess whether and when this decomposition results in improved forecasts of profitability. For the overall sample, we find significant improvements in terms of the magnitude of forecast errors and the frequency with which forecasts based on the decomposed values are superior versus forecasts using only total profitability. Across the sample as a whole, decomposing profitability in the forecasting process results in more accurate forecasts greater than two-thirds of the time (increasing to almost 80% within certain subsamples). Our results provide strong support for the role that firm-specific measures of market and industry profitability play in predicting a firm’s future performance, as well as highlighting settings where the decomposition provides the greatest benefit in terms of predicting future changes in profitability.     

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.     

Asymptotic behaviour of tests for a unit root against an explosive alternative

We compare the asymptotic local power of upper-tail unit root tests against an explosive alternative based on ordinary least squares (OLS) and quasi-differenced (QD) demeaning/detrending. We find that under an asymptotically negligible initialisation, the QD-based tests are near asymptotically efficient and generally offer superior power to OLS-based approaches; however, the power gains are much more modest than in the lower-tail testing context. We also find that asymptotically non-negligible initial conditions do not affect the power ranking in the same way as they do for lower-tail tests, with the QD-based tests retaining a power advantage in such cases.     

Marrying personality and job resources and their effect on engagement via critical psychological states

This study examined the process by which individuals become engaged with their jobs by integrating seminal engagement theory. More specifically, we suggest that an individual factor (i.e. autotelic personality) and two contextual factors (i.e. feedback environment, job autonomy) interact to predict work engagement through three critical psychological states – namely availability, meaningfulness, and safety. This moderated mediation framework was tested using a cross section of the US population (n = 284); data were collected at two points in time with 3 months in between. Availability and meaningfulness mediated the relationship between autotelic personality and work engagement. Autotelic personality’s indirect effect on work engagement through meaningfulness and safety was conditional such that the nature of feedback environment’s effect depended on job autonomy level. Theory and practice implications are discussed.     

Information,market power,and price volatility

We consider demand function competition with a finite number of agents and private information. We show that any degree of market power can arise in the unique equilibrium under an information structure that is arbitrarily close to complete information. Regardless of the number of agents and the correlation of payoff shocks, market power may be arbitrarily close to zero (the competitive outcome) or arbitrarily large (so there is no trade). By contrast, price volatility is always lower than the variance of the aggregate shock across all information structures. Alternative trading mechanisms lead to very distinct bounds as a comparison with Cournot competition establishes.     

An examination of EU trade disintegration scenarios

This paper demonstrates the welfare implications of the differential disintegration of the EU. Using a structural gravity approach, our estimates suggest that the rest of the EU countries have much more to lose from the disintegration of the EU compared to a disorderly Brexit. At the same time, neighbouring high‐income and middle‐income countries, such as Bosnia and Herzegovina and Norway, are expected to benefit from EU disintegration under some scenarios because trade would be diverted from EU countries.     

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.