Making sense of corporate social responsibility in international business: experiences from Shell

International business organizations are regularly addressed on their corporate social responsibility (CSR). As illustrated in this paper, it is not yet clear exactly what CSR means to organizations and how to deal with it. In this paper, the authors explore how a sensemaking approach helps to understand the business challenges of CSR within an organizational context. The theories of Karl Weick are applied to the experiences of CSR in Royal Dutch Shell. The authors argue that the key to CSR in international business organizations is to engage stakeholders and start a process of joint sensemaking. Three main competencies are crucial in this: the competency to engage stakeholders through listening and understanding; the creation of an organizational language so that CSR makes sense to members of the organization; and recognizing the momentum of taking action.     

Estimation methods for stochastic volatility models: a survey

Abstract.  Although stochastic volatility (SV) models have an intuitive appeal, their empirical application has been limited mainly due to difficulties involved in their estimation. The main problem is that the likelihood function is hard to evaluate. However, recently, several new estimation methods have been introduced and the literature on SV models has grown substantially. In this article, we review this literature. We describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view. We complete the survey with an application of the most important procedures to the S&P 500 stock price index.     

Fit for addressing grand challenges? A process model for effective accountability relationships within multi-stakeholder initiatives in developing countries

Business is expected to contribute to grand challenges (GC) such as poverty within their corporate social responsibilities. Multi-stakeholder initiatives (MSIs) have developed to a popular governance model to address GC. While existing scholarship has discussed the positive and negative aspects of MSIs, we know relatively little about how corporations within MSIs are held accountable. The objective of the study is to analyze the dynamics of accountability relationships between the corporate actor and the accountability forum to conceive a process model for effective accountability relationships in developing countries. We conducted an inductive study which explored the tensions the accountability forum perceives in MSI accountability relationships and the criteria to meet the forum's accountability claims. Our study identified four accountability criteria: transparency, inclusion, procedural fairness, and efficacy. Our main theoretical claim is that considering the four accountability criteria in the process of facilitating, dialoguing, and evaluating allows affected stakeholders to validate and match legitimacy claims with their own expectations, and thus, manage MSIs more effectively. Our contribution to existing scholarship on MSIs in developing countries is that we offer a novel perspective on analyzing the effectiveness of MSIs to address GC through our focus on one element of MSIs––specifically accountability. Beyond academic theorizing, this perspective may well hold value for nongovernmental organizations, policymakers, and business managers as it advances a concept of responsibility based on a set of accountability criteria which have the potential to become a cornerstone for how MSI members can organize to effectively address GC in developing countries.     

Prediction regions for interval-valued time series

We approximate probabilistic forecasts for interval-valued time series by offering alternative approaches. After fitting a possibly non-Gaussian bivariate vector autoregression (VAR) model to the center/log-range system, we transform prediction regions (analytical and bootstrap) for this system into regions for center/range and upper/lower bounds systems. Monte Carlo simulations show that bootstrap methods are preferred according to several new metrics. For daily S&P 500 low/high returns, we build joint conditional prediction regions of the return level and volatility. We illustrate the usefulness of obtaining bootstrap forecasts regions for low/high returns by developing a trading strategy and showing its profitability when compared to using point forecasts.     

Pricing a Heterogeneous Portfolio Based on a Demand Function

Abstract

Consider a portfolio containing number of risk classes. Each class has its own demand function, which determines the number of insureds in this class as a function of the premium. The insurer determines the premiums based on the number of insureds in each class. The “market” reacts by updating the number of the policyholders, then the insurer updates the premium, and so on. We show that this process has an equilibrium point, and then we characterize this point.     

The role of intellectual capital in the success of new ventures

Identifying the factors that contribute to the success of new ventures is a difficult and challenging task. In that respect, this paper proposes an analysis of the intellectual capital within new business ventures. Based on the study of a sample of 130 new companies, for the purpose of this work we have analysed the influence of the proposed intangible assets on the success of newly-created organizations, acknowledging the key role of the human and relational capital in the first few years of the life of the business.     

The Impact of Relational Capital on the Success of New Business Start‐Ups

This study seeks to highlight the key role played by relational capital in new business start‐ups. Following a review of previous research examining the success factors of new ventures and the role played by intellectual capital, our study sets out to achieve this objective by analyzing the impact of a set of intangible relational assets on the initial success of new business start‐ups. Based on a study of 130 firms, we analyzed six hypotheses regarding the possible positive relationship between the relational capital of a start‐up company and its success in its first few years of business.     

International portfolio diversification: Currency,industry and country effects revisited

We examine the relative importance of country, industry, world market and currency risk factors for international stock returns. Our approach focuses on testing the mean-variance efficiency of the various factor portfolios. An unconditional analysis does not show significant differences between country, industry and world portfolios, nor any role for currency risk factors. However, when we allow expected returns, volatilities and correlations to vary over time, we find that equity returns are mainly driven by global industry and currency risk factors. We propose a novel test to evaluate the relative benefits of alternative investment strategies and find that including currencies is critical to take full advantage of the diversification benefits afforded by international markets.