Stochastic Models of Implied Volatility Surfaces

We propose a market–based approach to the modelling of implied volatility, in which the implied volatility surface is directly used as the state variable to describe the joint evolution of market prices of options and their underlying asset. We model the evolution of an implied volatility surface by representing it as a randomly fluctuating surface driven by a finite number of orthogonal random factors. Our approach is based on a Karhunen–Loeve decomposition of the daily variations of implied volatilities obtained from market data on SP500 and DAX options.
We illustrate how this approach extends and improves the accuracy of the well–known 'sticky moneyness' rule used by option traders for updating implied volatilities. Our approach gives a justification for the use of 'Vegas' for measuring volatility risk and provides a decomposition of volatility risk as a sum of independent contributions from empirically identifiable factors.
(J.E.L.: G130, C14, C31).     

Differences in exchange rate pass-through in the euro area

This paper focuses on the pass-through of exchange rate changes into the prices of imports made by euro area countries originating outside the area. Using data on import unit values for 13 different product categories for each country, we estimate industry-specific rates of pass-through across and within countries for all euro members. In the short-run, pass-through rates differ across industries and countries and are less than one. In the long-run neither full pass-through nor equality of pass-through rates across industries and countries can be rejected. Differences exist across euro area countries in the degree that a common exchange rate movement gets transmitted into consumer prices and costs of production indices. Most of these differences in transmission rates are due to the distinct degree of openness of each country to non-euro area imports rather than to the heterogeneity in the structure of imports.     

External cooperation and entrepreneurial orientation in industrial clusters

ABSTRACT

The aim of this paper is to examine the relationship between external cooperation and entrepreneurial orientation (EO). This relationship is explored in cluster environment, wherein entrepreneurial organizations compete and cooperate simultaneously to pursue opportunities. The following hypothesis is tested: External cooperation is positively correlated with entrepreneurial orientation. The hypothesis is tested with a correlation analysis on a sample of 77 small-sized enterprises operating in the Malopolska region in Poland, wherein several clusters are active. Additionally, the regression analysis is conducted to examine the associations between inter-organizational cooperation and EO dimensions. The findings confirm that external cooperation is positively correlated with EO. This observation is confronted with a pro-competitive approach that is a constitutional element of the entrepreneurship concept. Moreover, the findings show that the correlation between external cooperation and a firm’s performance is stronger than between some other EO dimensions and performance. Additionally, the findings show the important role of relationships between organizations and their clients. In the paper, several remarks for development of the theory are discussed, including the need for incorporating inter-organizational cooperation into a set of entrepreneurial traits and reflecting it in entrepreneurial orientation scales. The findings confirm the importance of that direction of theory development that focuses on inter-organizational collaboration in the context of entrepreneurship.     

Choosing sides in the trilemma: international financial cycles and structural change in developing economies

ABSTRACT

This paper analyzes the impact of international financial cycles on structural change in developing economies. It is argued that the impact of these cycles depends on the specific combination of macroeconomic and industrial policies adopted by the developing economy. The cases of Brazil and Argentina are contrasted with those of Korea and China. In the Asian economies, macroeconomic policy has been a complementary tool along with industrial policy to foster the diversification of production and capabilities. Inversely, in the case of the Latin American countries, long periods of real exchange rate (RER) appreciation, combined with the weaknesses (or absence) of industrial policies, contributed to the loss of capabilities and lagging behind.     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.     

Creating sustainable value in the hospitality industry: a (critical) multi-stakeholder study in the Dominican Republic

This paper identifies sustainable initiatives reported by “sustainability-champion” hotels in the Dominican Republic, while contrasting them against the views of key stakeholders. We adapt and apply Hart and Milstein's Sustainable Value Framework, and complement it with a Critical Management Studies approach. Our analysis relies on a mixed-methods approach (non-hierarchical k-means cluster analysis, as well as thematic and content analysis). Findings indicate that most hotels are engaging more actively in present-oriented strategies such as pollution prevention (especially, the international hotels) and in product/service stewardship. However, in the future-oriented strategies, hotels owned by local investors show higher commitment to both clean technology and innovation, and to the sustainability vision (as the firm's growth path). In addition, although the views of multiple stakeholders show a clear acknowledgment of the hospitality industry's sustainability efforts (particularly regarding education and environmental protection), they also offer differing views about the ultimate impact and value of those efforts for them and for the broader society. Our study offers a new theoretical lens to explore multi-stakeholder approaches and offers practical implications for the Dominican Republic's National Strategy for Development 2010–2030, as well as implications that may be of use for other tourism-dependent countries.     

Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008–2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.     

Differences Between Short‐ and Long‐Term Risk Aversion: An Optimal Asset Allocation Perspective

This paper studies the long‐term asset allocation problem of an investor with different risk aversion attitudes to the short and the long term. We characterize investor's preferences with a utility function exhibiting a regime shift in risk aversion at some point of the multiperiod investment horizon that is estimated using threshold nonlinearity methods. Our empirical results for a portfolio of cash, bonds and stocks suggest that long‐term risk aversion is higher than short‐term risk aversion and increases with the investment horizon. The exposure of the investment portfolio from stocks to bonds and cash increases with the degree of risk aversion.     

HUMANITARIAN CRISES AND ADOLESCENT WELL-BEING: KNOWLEDGE,GAPS, AND PROSPECTS

Adolescence constitutes the second and final window of human growth and a period of specific vulnerabilities, such as early pregnancy, early marriage, HIV infection, suicide, violence, alcohol, and drugs. Only a limited body of research investigates the effects of humanitarian crises on the human capital and well-being of adolescents. The evidence focuses on the short-term effects of conflict and, to a lesser extent, natural disasters on education, physical health, and nutrition, but not on mental health. Most analyses examine the situations of individuals exposed in utero and young childhood, but rarely during adolescence. Typically missing are robust empirical identification strategies and estimates on heterogeneous effects across age or gender. The lack of quality data and challenges in defining adolescence, establishing causality, or ensuring ethical research explain the knowledge gaps. Possible ways to expand the evidence base include mixing georeferenced data on individual location with georeferenced data on crises, sharpening quasi-experimental analytical techniques, and reconsidering the current timing of demographic data collection, now spanning 4- or 5-year intervals. The failure to make such adjustments will end by ignoring specific vulnerabilities among adolescents and render sustainable progress in well-being globally, narrowing inequalities, and guaranteeing human rights to all more difficult to achieve.     

An Introduction to the Issue of Consumer Law in South America

Journal of Consumer Policy - This Special Issue has a long history. It goes back to a conference in July 2017 organized by Cláudia Lima Marques in Porto Alegre Brazil, the first of the Center...