Optimality results on orthogonal arrays plus <Emphasis Type="Italic">p</Emphasis> runs for <Emphasis Type="Italic">s</Emphasis><Superscript><Emphasis Type="Italic">m</Emphasis></Superscript> factorial experiments

The optimality of designs obtained by adding p runs to an orthogonal array is studied for experiments involving m factors each at s levels. The optimality criterion used here, is the Type 1 criterion due to Cheng (1978) which is an extension of Kiefer (1975) universal optimality criterion. Unlike what happens with orthogonal array plus one run designs, the behavior of designs obtained via augmentation of an orthogonal array by p runs depends on the particular runs added.     

Optimizing international portfolios with options and forwards

We develop a stochastic programming model to address in a unified manner a number of interrelated decisions in international portfolio management: optimal portfolio diversification and mitigation of market and currency risks. The goal is to control the portfolio’s total risk exposure and attain an effective balance between risk and expected return. By incorporating options and forward contracts in the portfolio optimization model we are able to numerically assess the performance of alternative tactics for mitigating exposure to the primary risks. We find that control of market risk with options has more significant impact on portfolio performance than currency hedging. We demonstrate through extensive empirical tests that incremental benefits, in terms of reducing risk and generating profits, are gained when both the market and currency risks are jointly controlled through appropriate means.     

Book Review

This article presents the findings of an investigation into issues related to product standardisation in service industries. A brief review of existing literature on the subject is followed by a presentation of the findings of parallel surveys carried out at two UK holiday villages owned and operated by a leading European leisure company. The conclusions reached were that a service product can be successfilly standardised in the mind of the consumer but only if a clear positioning strategy is adhered to.     

Value and risk in business-to-business e-banking

The purpose of this paper is to examine the role of risk in the formation of perceptions of value in the b2b domain, specifically within e-banking. The functional relationships between three types of risk (performance, financial and psychological) and the benefits and sacrifices components of value are tested within a broader nomological network that includes e-service quality (as an antecedent of value) and satisfaction, word-of-mouth and intention to switch (as outcomes of value). The hypothesised relationships are tested, using Partial Least Squares, on data collected through a postal survey from 167 UK-based SME organisations. The results confirm the significant but differential impact of the three types of risk on the two value components. Specifically performance risk and financial risk are found to be significant determinants of benefits, while psychological risk impacts on perceptions of sacrifices. We also provide evidence of the differential impact of the benefits and sacrifices components of value on satisfaction, and the existence of both direct and indirect (through satisfaction) impact of these components on word-of-mouth and intention to switch. This is the first documented empirical investigation of the impact of perceptions of risk in the study of perceptions of value within the domain of b2b marketing and consequently offers new insights into the subject matter. The theoretical and managerial implications of the findings are discussed and the manner in which the identified relationships can aid future research are explicated.     

New classes of improved confidence intervals for the variance of a normal distribution

Two new classes of improved confidence intervals for the variance of a normal distribution with unknown mean are constructed. The first one is a class of smooth intervals. Within this class, a subclass of generalized Bayes intervals is found which contains, in particular, the Brewster and Zidek-type interval as a member. The intervals of the second class, though non-smooth, have a very simple and explicit functional form. The Stein-type interval is a member of this class and is shown to be empirical Bayes. The construction extends Maruyama’s (Metrika 48:209–214, 1998) point estimation technique to the interval estimation problem.     

Investments and uncertainty revisited: the case of the US economy

This article examines the relationship between investments and uncertainty for the US economy, as the latter is approximated by consumer sentiment, purchasing managers’ prospects and economic policy uncertainty. Contrary to the existing literature, we provide evidence that this relationship is time varying. The time variation is attributed to the observed temporal replacement effect between private and public investments. Furthermore, we show that there are two distinct correlation regimes in this relationship and unless we concentrate on them, we cannot fully unravel the real link between uncertainty and investments. Finally, we examine whether the use of the two correlation regimes provides better forecasts for investments compared to the use of the uncertainty indices alone. The forecasting exercise reveals that the use of correlation regimes provides statistically superior out-of-sample forecasts.     

Innovation and upheaval: early growth in Greek capital market listings and IPOs from 1880 to the Second World War in the Athens Stock Exchange†

The establishment and growth of the Greek stock market were coincident with development episodes, financial upheavals, and geographic expansions of the country's economy over the period 1880–1940. This article explores the growth of the Athens Stock Exchange through new listings and initial public offerings (IPOs) in the late nineteenth and early twentieth centuries. We examine changes in exchange governance and listing requirements. On a theme not addressed before , we find that simple listings were far more numerous than actual IPOs. IPOs in Greece remained unregulated throughout the period. Their under‐pricing became pronounced in the later parts of the period, especially the 1920s. The study presents data on ‘quasi‐IPOs’ (that is, capital increases shortly after listing) and shows that they offer a more accurate assessment of the demand for the financing of listing firms in an emerging market. Robust evidence is presented to show that as the Exchange developed it also underwent a change in character, becoming more oriented to the domestic market and catering to smaller firms in domestic manufacturing in the post‐First World War era that marked the end of early globalization.     

Perceived value of corporate donations: an empirical investigation

• There is current recognition that value is the fundamental basis for all marketing activities. The present research provides an empirical examination of perceptions of value within the voluntary sector and specifically donations made by organisations towards the funding of charitable projects. The impact of a number of charity and project‐related variables on the formation of value and the corresponding effect of value on satisfaction and behavioural variables are examined.
• The results support claims that past experience with and information about a charity as well as information about a specific project are significant determinants of value. However, the impact of these constructs is differential between the two components of value (i.e. get/benefits and give/sacrifices). We confirm the significant effect of value on satisfaction and indicate that satisfaction and benefits derived from a donation have a direct impact on behavioural intention.

Copyright © 2008 John Wiley & Sons, Ltd.     

Valuation under imperfect information: Bayesian learning from the performance of the firm and the market

This paper develops a valuation model for a project or firm in the presence of uncertainty about the mean of the probability distribution of the cash flows generated by the project. Its major point is that in the presence of parameter uncertainty the value of the project is smaller than in the case where the mean cash flows is perfectly known. The second point is that when there is a known covariance between project cash flows and aggregate market cash flows investors can learn about the unknown mean cash flows by observing the market. This is referred to as ‘learning from the market’.     

A robust VaR model under different time periods and weighting schemes

This paper analyses several volatility models by examining their ability to forecast Value-at-Risk (VaR) for two different time periods and two capitalization weighting schemes. Specifically, VaR is calculated for large and small capitalization stocks, based on Dow Jones (DJ) Euro Stoxx indices and is modeled for long and short trading positions by using non parametric, semi parametric and parametric methods. In order to choose one model among the various forecasting methods, a two-stage backtesting procedure is implemented. In the first stage the unconditional coverage test is used to examine the statistical accuracy of the models. In the second stage a loss function is applied to investigate whether the differences between the models, that calculated accurately the VaR, are statistically significant. Under this framework, the combination of a parametric model with the historical simulation produced robust results across the sample periods, market capitalization schemes, trading positions and confidence levels and therefore there is a risk measure that is reliable.