Relationship of direct nursing care hours to DRG and severity of illness

Great variation in nursing resource use is documented within DRGs. Much of this variation may be explained by patient severity of illness. Variance in nursing resource use within DRGs can be reduced by using a severity of illness instrument to score patients.     

EFFECTS OF SMALL BUSINESS ACCOUNTING BASES AND ACCOUNTANT SERVICE LEVELS ON LOAN OFFICER DECISIONS

This study examines effects of four combinations of accounting bases and service levels — GAAP and income tax bases, and audit and review service levels — on loan officers' decisions, both separately and in interaction. It examines effects on loan decisions and perceptions of interest rates, default risk, confidence, and usefulness. The interaction of accounting basis and service level significantly affects perceived confidence but does not affect other decisions. Accounting basis and service level separately affect interest rates, default risk, and report usefulness, but do not affect the loan decision.     

Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-sib Design: a Graphical Model Perspective

Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely efficient for any particular analysis, it is often difficult to adapt to new computational challenges. By viewing these genetic applications in a more general framework, many problems can be handled by essentially the same software. This is advantageous in an area where fast methodological development is essential. Once a method has been fully developed and tested, problem-specific software may then be required. The aim of this paper is to illustrate the potential use of a graphical model approach to genetic analyses by taking a very simple and well-understood problem by way of example.     

Bank and Business Performance Measurement

Given the objective of maximizing the wealth of existing shareholders, this paper discusses some of the issues that arise in attempting to measure the performance of individual businesses within a bank. The paper describes two return measures – return on assets within a business and the return on the 'equity' of an individual business – and discusses the appropriate bench–marks. The paper ends with a discussion of the cost of unused allocated capital and the appropriate performance metric.
(J.E.L.: G30, G31).     

The effect of spot and futures trading on stock index market volatility: A nonparametric approach

This article provides empirical evidence on the intraday relation between spot volatility and trading volume in the Spanish stock index futures market. GARCH methodology is used to estimate spot volatility. We analyze the potential relation between spot and futures trading volume and spot volatility by estimating the corresponding conditional density functions as proposed in Quah (1997). Our results reveal no significant link between those variables. Similar findings arise when expected and unexpected volume is considered. Our results suggest that derivative market is not a force behind episodes of significant spot jump volatility. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:841–858, 2003     

LOGISTICS OUTSOURCING RELATIONSHIPS: CUSTOMER PERSPECTIVES

This study attempts to infuse relationship marketing theory into the study of logistics outsourcing relationships. In particular, the study demonstrates that not all of the partnerships between customers and providers of third‐party logistics services are the same in terms of their level of development. The existence of distinct levels of partnership established previously in the logistics literature is partially supported and a relationship between level of partnership development and the customer perceptions of key relationship marketing elements and outcomes is established. While exploratory in nature, these findings suggest there are benefits for the increased costs of developing closer partnerships.     

The Impact of Option Introduction on Stock Return Variances: The Role of Bid-Ask Spreads, Return Autocorrelations, and Intrinsic Variances

The purpose of this paper is to examine changes in stock return variances following option introduction. The sample consists of National Market System stocks and employs both transaction returns and returns based on bid and ask quotes. Variances are decomposed into portions attributable to bid-ask spreads, return autocorrelations, and intrinsic variances. Spreads play a negligible role in explaining variance changes. A generally positive component to short-term autocorrelations falls following option introduction, increasing variances over short holding periods. Intrinsic variances fall prior to the October 1987 crash, but do not change after the crash with option introduction.