An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies’ awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processes.     

Econophysics review: II. Agent-based models

This article is the second part of a review of recent empirical and theoretical developments usually grouped under the heading Econophysics. In the first part, we reviewed the statistical properties of financial time series, the statistics exhibited in order books and discussed some studies of correlations of asset prices and returns. This second part deals with models in Econophysics from the point of view of agent-based modeling. Of the large number of multi-agent-based models, we have identified three representative areas. First, using previous work originally presented in the fields of behavioral finance and market microstructure theory, econophysicists have developed agent-based models of order-driven markets that we discuss extensively here. Second, kinetic theory models designed to explain certain empirical facts concerning wealth distribution are reviewed. Third, we briefly summarize game theory models by reviewing the now classic minority game and related problems.     

Risk,uncertainty and monetary policy

The VIX, the stock market option-based implied volatility, strongly co-moves with measures of the monetary policy stance. When decomposing the VIX into two components, a proxy for risk aversion and expected stock market volatility (“uncertainty”), we find that a lax monetary policy decreases both risk aversion and uncertainty, with the former effect being stronger. The result holds in a structural vector autoregressive framework, controlling for business cycle movements and using a variety of identification schemes for the vector autoregression in general and monetary policy shocks in particular. The effect of monetary policy on risk aversion is also apparent in regressions using high frequency data.     

Hierarchical structures in the aggregation of premium risk for insurance underwriting

In the valuation of the Solvency II capital requirement, the correct appraisal of risk dependencies acquires particular relevance. These dependencies refer to the recognition of risk diversification in the aggregation process and there are different levels of aggregation and hence different types of diversification. For instance, for a non-life company at the first level the risk components of each single line of business (e.g. premium, reserve, and CAT risks) need to be combined in the overall portfolio, the second level regards the aggregation of different kind of risks as, for example, market and underwriting risk, and finally various solo legal entities could be joined together in a group.

Solvency II allows companies to capture these diversification effects in capital requirement assessment, but the identification of a proper methodology can represent a delicate issue. Indeed, while internal models by simulation approaches permit usually to obtain the portfolio multivariate distribution only in the independence case, generally the use of copula functions can consent to have the multivariate distribution under dependence assumptions too.

However, the choice of the copula and the parameter estimation could be very problematic when only few data are available. So it could be useful to find a closed formula based on Internal Models independence results with the aim to obtain the capital requirement under dependence assumption.

A simple technique, to measure the diversification effect in capital requirement assessment, is the formula, proposed by Solvency II quantitative impact studies, focused on the aggregation of capital charges, the latter equal to percentile minus average of total claims amount distribution of single line of business (LoB), using a linear correlation matrix.

On the other hand, this formula produces the correct result only for a restricted class of distributions, while it may underestimate the diversification effect.

In this paper we present an alternative method, based on the idea to adjust that formula with proper calibration factors (proposed by Sandström (2007)) and appropriately extended with the aim to consider very skewed distribution too.

In the last part considering different non-life multi-line insurers, we compare the capital requirements obtained, for only premium risk, applying the aggregation formula to the results derived by elliptical copulas and hierarchical Archimedean copulas.     

New evidence of regional income divergence in post-reform Russia

This article investigates regional income convergence in Russia during 2000–2008. We test the hypothesis in which income divergence across regions of the country should give place to income convergence as the country moves toward free market economy with strong market institutions. The study contributes to the existing literature by using the exponential smooth autoregressive Augmented Dickey–Fuller (ADF) unit root test in a panel setup, a novel econometric technique, which encompasses cross sectional dependence. Results show strong evidence of on-going regional income divergence in post-reform period.     

Before Microfinance: The Social Value of Microsavings in Vincentian Poverty Reduction

The purpose of this article is to present and discuss the values and limits of microfinance within the context of poverty reduction, international development, and community empowerment. The main thesis is that microfinance requires a more complex strategy than simply the provision of credits. The development of financial capital depends on the increase in human capacity and social capital. Microfinance is revisited under the ethical lenses of global responsibility for alleviating poverty and developing community sustainability. Through a critical review of the literature and case studies from the Philippines, the author suggests a value-based Vincentian approach to integrate microfinance into community empowerment. In connection with the main thesis the author argues that the achievement of economic self-reliance through microfinance is contingent upon the development of capacity building, social capital, and empowerment at the individual, collective, and systemic levels.     

Reconciling quantile autoregressions of firm size and variance–size scaling

The aim of this paper is to understand what economic mechanisms may cause the Law of Proportionate Effect to break down for fast-growing and shrinking firms. Recent evidence has highlighted that the first-order coefficients of quantile auto-regression of firm size decline across quantiles. Our theoretical results show that negative variance–size scaling is sufficient to yield a decline in quantile auto-regression coefficients if firm log-size is Laplace-distributed, conditional on size one period ahead. However, it is sufficient only for declining auto-regression coefficients for fast-growing firms under Asymmetric Laplace conditional log-size if skewness is decreasing with size. In other words, if the growth of large firms is less dispersed and more left-skewed, size is a disadvantage for the growth of fast-growers, but not necessarily an advantage for fast-decliners. Thus, size-related determinants of negative growth skewness, such as diseconomies of growth, market power, and managerial attention issues, impact on how the LPE is violated. Using data on Dutch manufacturing companies from the Business Register of Enterprises observed between 1994 and 2004, our empirical estimates of quantile regression models confirm the evidence of declining quantile regression coefficients for small–medium firms (20–199 employees) mainly in the right-most quantiles, and for the same subsample, we find that growth rates variance and skewness are decreasing with size. The theoretical propositions of the paper are thus corroborated.     

HYPERBOLIC DISCOUNTING,PUBLIC DEBT AND BALANCED BUDGET RULES

This paper considers a government that chooses its tax and borrowing policy in order to minimize the present value of the excess burden caused by taxation. In doing so, the government uses hyperbolic discounting. It turns out that public deficits are positive even if public expenditures are constant over time. With cyclical expenditures, the government chooses an asymmetric debt policy, i.e., in bad times it borrows more than it repays in good times. In contrast to tax smoothing and political economy theories of public debt, the welfare effects of a balanced budget rule are ambiguous.     

Guilds and middle-class welfare, 1550–1800: provisions for burial, sickness, old age, and widowhood

Guilds provided for masters' and journeymen's burial, sickness, old age, and widowhood. Guild welfare was of importance to artisans, to the functioning of guilds, to the myriad of urban social relations, and to the political economy. However, it is an understated and neglected aspect of guild activities. This article looks at welfare provision by guilds, with the aim of addressing four questions. Firstly, for which risks did guild welfare arrangements exist in the Netherlands between 1550 and 1800, and what were the coverage, contributions, benefit levels, and conditions? Secondly, can guild welfare arrangements be regarded as insurance? Thirdly, to what extent and how did guilds overcome classic insurance problems such as adverse selection, moral hazards, and correlated risks? Finally, what was the position of guild provision in the Dutch political economy and vis‐à‐vis poor relief?     

The emergence of new networked business models from technology innovation: an analysis of 3-D printing design enterprises

Technology does not have intrinsic value: obtaining competitive advantage from it and transforming it into profits requires a business model based on the application of competencies and dynamic capabilities, and the ability to select and apply appropriate resources. Innovative 3-D printing technology appears to be dependent on a new business model based on the ability to structure and integrate creative inputs, crowdsourcing processes, and market distribution networks. This new business model is being used by design enterprises that employ 3-D printing technology in order to enrich their service portfolio or to inaugurate completely new business lines. This paper analyzes how the use of new 3-D printing technology in design enterprises is coupled with proper business model components. Through a qualitative analysis of three cases - Quirky, i.materialise and Fab-Lab - the authors develop four propositions on a number of factors that contribute to business model effectiveness in design ventures using 3-D printing technology.