The persistence of earnings per share

The persistence of innovations to accounting earnings per share, EPS, has important implications for equity valuation, yet it remains a largely neglected subject. This paper employs various empirical tests in order to measure the persistence of shocks to EPS for the S&P 500 index. Within the I(0)/I(1) paradigm the empirical evidence rejects the I(1) specification, supporting instead a trend-stationary representation. When fractional orders of integration are considered, the results indicate that the detrended series is long memory (d  >  0) and mean reverting (d < 1). The responses decay slowly to zero, albeit 50 quarters after an initial shock the responses remain significantly different from zero. Likewise, the variance ratio evidence suggests that the effect of a shock persists over time spans characteristic of the business cycle.

When do managers listen to the market? Impact of learning in acquisitions of private firms

We study the influence of market signals and agency problems on the decision to cancel an announced acquisition. We find major differences between deals involving private vs. public targets. First, controlling for the value of expected synergies, acquisitions are less likely to be cancelled when the target is private rather than public. This finding supports learning rather than the alternative common-information hypothesis. Second, better manager-shareholder interest alignment makes the cancellation of a “bad” deal more likely only when the target is a private firm. This suggests bidder agency problems have a greater influence on acquisition outcome (i.e., learning) when the target is private. Third, cancellation is more likely for private targets when their post-announcement abnormal returns are low, especially if the method of payment includes stock. This indicates that it is important to control for bidder overvaluation when testing the managerial learning hypothesis. Overall, both the learning and agency hypotheses help explain observed differences in deal completion by target type.     

Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT²) implementation, called Globalgest.     

Evaluation of the profitability of quality labels in rural tourism accommodation: a hedonic approach using propensity score matching

In recent years, quality labels for the Spanish tourism sector have been developed as part of a competitive strategy focused on the differentiation of the product. Given this development, it is interesting to analyse the profitability of quality labels for the accommodation owners and managers. In particular, this article calculates the profitability of a rural tourism quality label. Through the use of the hedonic price approach, the market valuation of the quality label for rural self-catering cottages is obtained. This valuation is subsequently compared with the expenses incurred by establishments in achieving the quality label. In order to address the usual methodological problems associated with the endogeneity, prior to application of the hedonic approach, the propensity score matching is used. The results indicate that possessing a quality label has a positive impact on the profitability of rural tourism.     

Regime-switching purchasing power parity in Latin America: Monte Carlo unit root tests with dynamic conditional score

We suggest a Monte Carlo simulation-based unit root test of the purchasing power parity theory for Latin American countries. Under the null hypothesis, we use a Markov regime-switching (MS) model with unit root in the conditional location and MS volatility dynamics. Under the alternative hypothesis, the proposed test incorporates Markov regime-switching autoregressive moving average (MS-ARMA) plus MS volatility dynamics. Under both the null and alternative hypotheses, one of the volatility models estimated is Beta-t-EGARCH, which is a recent dynamic conditional score volatility model. We use data on real effective exchange rate time series for 14 Latin American countries. For each country, we estimate by Monte Carlo simulation the critical values of the unit root test. We provide an economic discussion of the unit root test results and also study the robustness of MS-ARMA plus MS volatility with respect to smooth transition autoregressive models with Fourier function.     

Analysis of the impact of excess mortgages on housing prices using the cointegration test

This article attempts to explain and predict housing prices by constructing a model based on the variables that most influence demand: the theoretical purchase effort index without tax deductions as well as a new and innovative indicator that includes the excess of mortgages granted. The Johansen methodology for cointegration analysis reveals the existence of long-run equilibrium and the model’s subsequent ECM, to verify the statistical significance of the variables, confirms the validity of the model concerning this Spanish case study.     

The association between osteoporosis and patient outcomes in Japan

Objective To quantify the burden of osteoporosis and examine the interplay between osteoporosis and various comorbidities as it relates to patient outcomes.

Methods Data from the 2011 Japan National Health and Wellness Survey (NHWS; n?=?30 000), an internet health survey fielded to a nationally representative sample of the Japanese population were used. Only women between the ages of 50–90 years were included in the analyses (n?=?6950).

Results Compared with matched controls (n?=?404), patients with osteoporosis (n?=?404) had lower MCS scores (48.94 vs 51.63), PCS scores (45.57 vs 49.12) (all p?<?0.05). The presence of osteoporosis was associated with worse patient outcomes among those with hypertension, high cholesterol, and insomnia, among other conditions.

Conclusions The results suggest a significant quality-of-life and economic burden for patients with osteoporosis in Japan. Moreover, in a complex co-morbid environment, the presence of osteoporosis contributes more to patient outcomes than other chronic conditions.     

The way forward: Leadership research in the hospitality industry

This paper constructs a framework for researching leadership in the hospitality industry and reviews previous approaches to hospitality leadership. Four paradigms were constructed from an analysis of the general field of leadership and are used to represent the underlying perspectives of researchers who operate within them. As a result of this analysis the paper seeks to demonstrate how each paradigm can contribute to the application of leadership theory to the hospitality industry and provides a number of new avenues for future research.     

Monetary Policy,Taylor’s Rule and Instability

We analyse the dynamic behaviour of an economy where the central bank (CB) sets interest rates according to a Taylor‐type policy rule. A simple model for a closed and instability‐prone economy is constructed and subjected to formal dynamical analysis and numerical simulation. It is shown that a requirement for local stability is that the two response coefficients in the policy rule be positive. Similarly, it is shown that raising the response coefficient of the output gap increases the likeliness of the economy being stable, whereas raising the response coefficient of the inflation gap has an uncertain and probably negligible effect on local stability. Self‐sustained oscillations may arise for certain parameter values. Policy mistakes in the estimation of the long‐run equilibrium real interest rate or potential real GDP may prevent the CB from achieving its inflation target. A suggestion for enhancing the stabilization capacity of Taylor‐type policy rules in the context of the model presented is made.     

Unfolding implementation in industrial market segmentation

Market segmentation is an important method of strategic marketing and constitutes a cornerstone of the marketing literature. It has undergone extensive scientific inquiry during the past 50 years. Reporting on an extensive review of the market segmentation literature, the challenging task of implementing industrial market segmentation is discussed and unfolded in this article. Extant literature has identified segmentation implementation as a core challenge for marketers, but also one, which has received limited empirical attention. Future research opportunities are formulated in this article to pave the way towards closing this gap. The extent of implementation coverage is assessed and various notions of implementation are identified. Implementation as the task of converting segmentation plans into action (referred to as execution) is identified as a particularly beneficial focus area for marketing management. Three key elements and challenges connected to execution of market segmentation are identified — organization, motivation, and adaptation.