Which Credit Unions are Acquired?

Recent years have witnessed a wave of consolidation amongst US credit unions. Through hazard function estimations, this paper identifies the determinants of acquisition for credit unions during the period 2001-06. The hazard of acquisition is inversely related to both asset size and profitability, and positively related to liquidity. Growth-constrained credit unions are less attractive acquisition targets. Institutions with low capitalization and those with small loans portfolios relative to total assets are susceptible to acquisition. The investigation presents unique empirical evidence of a link between technological capability and the hazard of acquisition. During the period 2001-06, when there was sustained growth in the use of internet technology, credit unions with no website were at the highest risk of acquisition. © Springer Science + Business Media, LLC 2009.

Dynamic pricing model and algorithm for perishable products with fuzzy demand (ABS 2* Journal)

This paper studies the dynamic pricing problem of selling fixed stock of perishable items over a finite horizon, where the decision maker does not have the necessary historic data to estimate the distribution of uncertain demand, but has imprecise information about the quantity demand. We model this uncertainty using fuzzy variables. The dynamic pricing problem based on credibility theory is formulated using three fuzzy programming models, viz.: the fuzzy expected revenue maximization model, a-optimistic revenue maximization model, and credibility maximization model. Fuzzy simulations for functions with fuzzy parameters are given and embedded into a genetic algorithm to design a hybrid intelligent algorithm to solve these three models. Finally, a real-world example is presented to highlight the effectiveness of the developed model and algorithm.

Robust Dynamic Pricing Over Infinite Horizon in The Presence of Model Uncertainty( 2* Journal)

This paper studies a problem of dynamic pricing faced by a retailer with limited inventory, uncertain about the demand rate model, aiming to maximize expected discounted revenue over an infinite time horizon. The retailer doubts his demand model which is generated by historical data and views it as an approximation. Uncertainty in the demand rate model is represented by a notion of generalized relative entropy process, and the robust pricing problem is formulated as a two-player zero-sum stochastic differential game. The pricing policy is obtained through the Hamilton-Jacobi-Isaacs (HJI) equation. The existence and uniqueness of the solution of the HJI equation is shown and a verification theorem is proved to show that the solution of the HJI equation is indeed the value function of the pricing problem. The results are illustrated by an example with exponential nominal demand rate.

Prior colonisation with Candida species fails to guide empirical therapy for candidaemia in critically ill adults

Objectives Pre-emptive fluconazole (fcz) anti-fungal therapy is often based upon Candida colonisation of at least 2 non-contiguous non-sterile sites. The aim of this study was to evaluate the relationship between candidaemia and prior colonisation of non-sterile sites. Methods A retrospective observational study was performed in the intensive care unit/high dependency unit (ICU/HDU) of a University hospital on alternate years from 1999–2007, where a pre-emptive anti-fungal therapy policy was introduced in 2005. Results A higher proportion of blood isolates were Candida glabrata compared with non-sterile isolates (16/46 vs 106/1062; p

NON-GAUSSIAN STATISTICS OF OIL PRICING TIME-SERIES: A CASE STUDY

The stochastic nature of oil price fluctuations is investigated over a twelve-year period, borrowing feedback from an existing database (USA Energy Information Administration database, available online). We evaluate the scaling exponents of the fluctuations by employing different statistical analysis methods, namely rescaled range analysis (R/S), scale windowed variance analysis (SWV) and the generalized Hurst exponent (GH) method. Relying on the scaling exponents obtained, we apply a rescaling procedure to investigate the complex characteristics of the probability density functions (PDFs) dominating oil price fluctuations. It is found that PDFs exhibit scale invariance, and in fact collapse onto a single curve when increments are measured over microscales (typically less than 30 days). The time evolution of the distributions is well fitted by a Levy-type stable distribution. The relevance of a Levy distribution is made plausible by a simple model of nonlinear transfer. Our results also exhibit a degree of multifractality as the PDFs change and converge toward to a Gaussian distribution at the macroscales.

Why do they go? Empirical evidence of employees' motives for seeking or accepting relocation

This study addresses one of the shortcomings apparent in previous research on expatriate job-transfers, namely the lack of exploratory, empirical groundwork into the motives of expatriates to seek or accept international assignments. The relocatee population of a large German MNC was surveyed for their motives to seek or accept their transfer, using an open-response format. Responses were content analysed in order to arrive at an empirically grounded set of motives. The findings provide a very detailed picture of employees' motives to seek or accept international assignments and thus an important interim result that, when used as input in subsequent investigations, promises highly relevant results due to established content validity.

Firm Size and Export Intensity: Solving an Empirical Puzzle.

This paper presents a transaction costs analysis of the firm size and export intensity relationship. We submit that relation-specific investments and the costs of safeguarding these investments play a significant role in export relationships. Firm size related differences with respect to these factors are used to explain the different relationships between firm size and export intensity that have been found in previous studies. The theoretical framework is tested empirically, and support is found for different industries.

Dynamic pricing models for used products in remanufacturing with lost-sales and uncertain quality

In this paper, we investigate the remanufacturing problem of pricing single-class used products (cores) in the face of random price-dependent returns and random demand. Specifically, we propose a dynamic pricing policy for the cores and then model the problem as a continuous-time Markov decision process. Our models are designed to address three objectives: finite horizon total cost minimization, infinite horizon discounted cost, and average cost minimization. Besides proving optimal policy uniqueness and establishing monotonicity results for the infinite horizon problem, we also characterize the structures of the optimal policies, which can greatly simplify the computational procedure. Finally, we use computational examples to assess the impacts of specific parameters on optimal price and reveal the benefits of a dynamic pricing policy. © 2013 Elsevier B.V. All rights reserved.

Credit Unions: A Theoretical and Empirical Overview

In 2009 there were over 49,330 credit unions across 98 countries with more than 184 million members and approximately $1,354 billion in assets. There is a great diversity within the credit union movement across these countries. This reflects the various economic, historic and cultural contexts within which credit unions operate. This paper traces the evolution of the credit union movement. It examines credit union objectives, and considers issues relating to efficiency, technology adoption, product diversification, merger, failure and demutualization. The regulatory environment within which credit unions operate is also explored under the themes of interest rate regulation, common bond requirements, taxation, deposit insurance and capital regulation. The overview also considers demutualization and the costs and benefits to credit unions of altering their organizational form.