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This research looks into hedge strategies to resolve foreign exchange-related risks, generated when investing in overseas financial assets, as an example of quantity risk. If an investor has information with no uncertainty over the volume and there is only a price risk he want to hedge, an investor will be able to reduce or eliminate risks by using relative derivative securities such as forwards or futures contracts. However, if there are uncertainties over the volume of hedging targets that is called quantity risk, it is impossible to set the optimal hedge ratio with the traditional method without considering the presence of quantity risk. In this paper, we theoretically draw an optimal hedge ratio which is estimated via minimal variance criterion under static hedge structure. We also analyze its hedge performance and the impact of change in covariance on the optimal hedge ratio and variance of investment return denominated as its own country currency. For theoretical approach, we review the impact that overseas financial assets’ yield and exchanges rates distribution will have on optimal hedge ratio through simple numerical analysis. Empirical analysis is carried out by using the stock indices of the U.S., Europe and Asian countries, and the results indicate that hedge strategies taken with quantity risk for all markets produced better hedging performance than the strategies taken without quantity risk. Since there is a need for systematic research on risks involving foreign exchanges that occur in the event of foreign investments aimed to develop the domestic financial industry, we hope that our research serve as a stepping-stone for further research.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

In searching for a new budget formula for the College of Business at California State University at Long Beach, a major university in the west, several rational budget formulas were explored. This report develops an explanation in quantitative terms of the reasoning process pursued by the department chairs in arriving at the compromise budget allocation model that is currently in place in the college. It shows that in a group decision‐making process concerning the allocation of resources, compromises are made between decision‐makers in order to come to some common agreement, if one in fact exists. Rational models based on some formula are introduced, and resources can be allocated based on the formula. However, among the models presented using a decision matrix, the model that will eventually be selected is the one that has the minimal variance in ranking regrets and monetary regrets if the highest‐ranking model is not chosen. The ranking regret provides a good guide and quick identification of the “most‐likely‐to‐succeed” compromise model. However, the monetary regret appears to be the final compromise determinant.

Research in economics, finance and decision science has shown that consumers are familiar with unit‐to‐unit variability, and in the context of services it has been demonstrated that consumers often anticipate and perceive performance heterogeneity. However, satisfaction models to date have failed to explicitly treat expectations as distributions. In this study, expectations were modeled along two dimensions – mean and variance of expected performance – which were manipulated together with actual performance in a true experimental design. The findings indicate that the expected variance in performance had an impact on perceived disconfirmation. Specifically, at low levels of incongruity (i.e. small absolute performance deviations from the expected mean), a high expected variance in performance reduced the level of perceived disconfirmation. Conversely, at high levels of incongruity (large absolute performance deviations from expectations), the expected variance in performance exerted minimal influence over perceived disconfirmation. These findings are reconciled and discussed using the zones of indifference and tolerance, and assimilation processes.

The purpose of this paper is to examine the effects of parameter uncertainty in the returns process with regime shifts on optimal portfolio choice over the long run for a static buy-and-hold investor who is investing in industry portfolios.

This paper uses a Markov switching model to model returns on industry portfolios and propose a Gibbs sampling approach to take into account parameter uncertainty. This paper compares the results with a linear benchmark model and estimates without taking into account parameter uncertainty. This paper also checks the predictive power of additional predictive variables.

Incorporating parameter uncertainty and taking into account the possible regime shifts in the returns process, this paper finds that such investors can allocate less in the long run to stocks. This holds true for both the NASDAQ portfolio and the individual high tech and manufacturing industry portfolios. Along with regime switching returns, this paper examines dividend yields and Treasury bill rates as potential predictor variables, and conclude that their predictive effect is minimal: the allocation to stocks in the long run is still generally smaller.

Studying the effect of regime switching behavior in returns on the optimal portfolio choice with parameter uncertainty is our main contribution.

This study investigates the level of variance in the real time demand for bagged cement, induced in response to the climatic sequence of the humid tropics, to support best practice calls for a weather-responsive supply chain strategy.

Data on the consumption of cement and site works for 100 ongoing building construction sites were gathered for a period of 12 months. The variance partitioning capabilities of the Ordinary Least Squares and Hierarchical Linear Modelling forms of regression analysis are comparatively used to evaluate the sensitivity of cement demand to the meteorological profile of wet-humid climate

The study outcome provides statistical evidence demonstrating that the meteorological profile of wet-humid climate induces a significantly high percentage of the variance in the real-time demand for bagged cement on construction sites. However, nested within this variance, are the fixed effects of the cement footprint of the building architecture inherent in the locality. Particularly, positive changes to reduce the wet trade composition of buildings or compensating changes in technological bias, are necessary to combat weather interference in the humid tropics.

The findings are exploratory, and not for the purposes of holistically forecasting cement demand, and can therefore only form part of a more comprehensive decision support system, bespoke to the study area.

The study outcome provides a back-end view to climatic adaptation in wet humid settings, making a compelling case for localized climate-risk adaptive supply chain strategies and policies geared towards sustainability in cement usage.

The study delineates the confounding impact of weather, distinct from local building architecture and technological bias, thus creating a methodological platform for replication and comparative productivity studies in diverse geographical areas.

The social relations model (SRM; Kenny, 1994) explicitly proposes that leadership simultaneously operates at three levels of analysis: group, dyad, and individual (perceiver and target). With this model, researchers can empirically determine the amount of variance at each level as well as those factors that explain variance at these different levels. This chapter shows how the SRM can be used to address many theoretically important questions in the study of leadership and can be used to advance both the theory of and research in leadership. First, based on analysis of leadership ratings from seven studies, we find that there is substantial agreement (i.e., target variance) about who in the group is the leader and little or no reciprocity in the perceptions of leadership. We then consider correlations of leadership perceptions. In one analysis, we examine the correlations between task-oriented and socioemotional leadership. In another analysis, we examine the effect of gender and gender composition on the perception of leadership. We also explore how self-ratings of leadership differ from member perceptions of leadership. Finally, we discuss how the model can be estimated using conventional software.

The purpose of this paper is to examine the mediating effect of intellectual capital on the relationship between board governance and perceived firm financial performance.

This study was cross-sectional. Analyses were by SPSS and Analysis of Moment Structure on a sample of 128 firms.

The mediated model provides support for the hypothesis that intellectual capital mediates the relationship between board governance and perceived firm performance. while the direct relationship between board governance and firm financial performance without the mediation effect of intellectual capital was found to be significant, this relationship becomes insignificant when mediation of intellectual capital is allowed. Thus, the entire effect does not only go through the main hypothesised predictor variable (board governance) but majorly also, through intellectual capital. Accordingly, the connection between board governance and firm financial performance is very much weakened by the presence of intellectual capital in the model – confirming that the presence of intellectual capital significantly acts as a conduit in the association between board governance and firm financial performance. Overall, 36 per cent of the variance in perceived firm performance is explained. the error variance being 64 per cent of perceived firm performance itself.

The authors surveyed directors or managers of firms and although the influence of common methods variance was minimal, the non-existence of common methods bias could not be guaranteed. Although the constructs have been defined as precisely as possible by drawing upon relevant literature and theory, the measurements used may not perfectly represent all the dimensions. For example board governance concept (used here as a behavioural concept) is very much in its infancy just as intellectual capital is. Similarly the authors have employed perceived firm financial performance as proxy for firm financial performance. The implication is that the constructs used/developed can realistically only be proxies for an underlying latent phenomenon that itself is not fully measureable.

In considering the behavioural constructs of the board, a new integrative framework for board effectiveness is much needed as a starting point, followed by examining intellectual capital in firms whose mediating effect should formally be accounted for in the board governance – financial performance equation.

Results add to the conceptual improvement in board governance studies and lend considerable support for the behavioural perspective in the study of boards and their firm performance improvement potential. Using qualitative factors for intellectual capital to predict the perceived firm financial performance, this study offers a unique dimension in understanding the causes of poor financial performance. It is always a sign of a maturing discipline (like corporate governance) to examine the role of a third variable in the relationship so as to make meaningful conclusions.

Purpose: This chapter examines the effect of COVID-19 on the stock market volatility (SMV) in the Colombo Stock Exchange (CSE), Sri Lanka.

Need for the Study: The study is necessary to understand investor behaviour, market efficiency, and risk management strategies during a global crisis.

Methodology: Utilising daily All Share Price Index (ASPI) data from 2 January 2018 to 31 August 2021, the data are divided into subsamples corresponding to the pre-pandemic period, the pandemic period, and distinct waves of the pandemic. The impact of the pandemic is investigated using the Mann–Whitney U test, the Kruskal–Wallis test, and the Exponential Generalised Autoregressive Conditional Heteroscedasticity (EGARCH) model.

Findings: The pandemic considerably affected CSE – the Mann–Whitney U test produced different market returns during the pre-COVID and COVID eras. The Kruskal–Wallis test improved performance during COVID-19 but did not continue to do so across COVID-19 waves. The EGARCH model detected increased volatility and risk during the first wave, but the second and third waves outperformed the first. COVID-19 had a minimal overall effect on CSE market results. GARCH and Autoregressive Conditional Heteroskedasticity (ARCH) models identified long-term variance memory and volatility clustering. The News Impact Curve (NIC) showed that negative news had a more significant impact on market return volatility than positive news, even if the asymmetric term was not statistically significant.

Practical Implications: This study offers significant insight into how Sri Lanka’s SMV is affected by COVID-19. The findings help create efficient mitigation strategies to mitigate the negative consequences of future events.

There is extensive literature on the benefits of manufacturing control arising from minimal inventory policies of just in time (JIT). Operations management literature has focused on controlling set‐up, lead and changeover times to streamline the operations and achieve low optimal inventory levels. Our paper first expands these models to include information and incentive effects. We then develop a model in which JIT focuses attention on process imbalances and derive the compensation contract that induces managers to be more creative in managing the process. We show that the loss of controllability decreases the benefits of JIT and increase the benefits of traditional buffer inventory. If, as on 11 September 2001, the loss or gain of controllability occurs quickly and unexpectedly, organizations need to develop the agility to switch between minimal inventory and buffer inventory systems.