Hedging of Asian options under exponential Lévy models: computation and performance

In this paper we consider the problem of hedging an arithmetic Asian option with discrete monitoring in an exponential Lévy model by deriving backward recursive integrals for the price sensitivities of the option. The procedure is applied to the analysis of the performance of the delta and delta–gamma hedges in an incomplete market; particular attention is paid to the hedging error and the impact of model error on the quality of the chosen hedging strategy. The numerical analysis shows the impact of jump risk on the hedging error of the option position, and the importance of including traded options in the hedging portfolio for the reduction of this risk.     

The art of development: economic and cultural development through art in San Juan la Laguna,Guatemala

This paper examines how artisans experience economic and cultural changes through art sales to tourists in San Juan la Laguna, Guatemala; the aim is to analyse experiences from hosts and producers in art tourism. Using a life course approach, the artists in this area expressed how they do not copy the art of their ancestors, but draw on their past to create new art that reflects their experiences, and sell it to tourists at a price they set. Painting on canvas and murals is a way to overcome historical discrimination based on their cultural identity while they explore and communicate their new identities to themselves and outsiders. Therefore the encounter at the art market strengthens both their economic identities and cultural identities. This is contradiction because the two goals are not necessarily complementary. I argue that the painters in San Juan illustrate the art of development because the painters artfully use their new economic and cultural identities to craft a space to negotiate the terms of the encounter with globalization to struggle for a better life.     

The effect of economic policy uncertainty on investor information asymmetry and management disclosures

Investor uncertainty about firm value drives investors’ information collection and trading activities, as well as managers’ disclosure choices. This study examines an important source of uncertainty that likely cannot be influenced by most managers and investors: uncertainty about government economic policy. We find that this uncertainty is associated with increased bid-ask spreads and decreased stock price reactions to earnings surprises. Managers respond to this uncertainty by increasing their voluntary disclosures, but these disclosures only partly mitigate the bid-ask spread increase. We conclude that government economic policy uncertainty is an important component of firms’ information environments and managers’ voluntary disclosure decisions.     

Backtesting extreme value theory models of expected shortfall

We use stock market data to analyze the quality of alternative models and procedures for forecasting expected shortfall (ES) at different significance levels. We compute ES forecasts from conditional models applied to the full distribution of returns as well as from models that focus on tail events using extreme value theory (EVT). We also apply the semiparametric filtered historical simulation (FHS) approach to ES forecasting to obtain 10-day ES forecasts. At the 10-day horizon we combine FHS with EVT. The performance of the different models is assessed using six different ES backtests recently proposed in the literature. Our results suggest that conditional EVT-based models produce more accurate 1-day and 10-day ES forecasts than do non-EVT based models. Under either approach, asymmetric probability distributions for return innovations tend to produce better forecasts. Incorporating EVT in parametric or semiparametric approaches also improves ES forecasting performance. These qualitative results are also valid for the recent crisis period, even though all models then underestimate the level of risk. FHS narrows the range of numerical forecasts obtained from alternative models, thereby reducing model risk. Combining EVT and FHS seems to be best approach for obtaining accurate ES forecasts.     

Assessing financial distress dependencies in OTC markets: a new approach using trade repositories data

In this paper, we study the relationships among financial market sub-segments as a way to identify potential financial distress through increased co-movements among them. To study how sub-markets are mutually co-dependent, we combine granular data on over-the-counter derivatives by trade repositories and the joint probability of distress (JPoD) approach introduced by the International Monetary Fund. We define an indicator that combines several distress drivers and observe that results on co-dependencies are similar to those that would be expected: similarities between financial and contractual terms seem to be responsible for stronger co-movements among sub-markets. However, high values for JPoD even in correspondence of quite dissimilar sub-markets suggest the presence of other drivers that should be investigated in future research. To the best of our knowledge, this is the first empirical study on systemic risk assessment based on micro-founded trade repositories’ data on interest rate swaps.     

Walking and Talking Corporate Social Responsibility: Implications of Firm Size and Organizational Cost

In this paper we address two interrelated research gaps in the Corporate Social Responsibility (CSR) literature. The first results from a lack of understanding of different patterns of CSR engagement with respect to CSR talk (impression management and the creation of symbolic images and documentation) and CSR walk (substantive implementation of CSR policies, structures and procedures). Related to this, the second gap concerns limited knowledge about the influence of firm size on CSR engagement. We develop a conceptual model that explains differences in CSR talk versus walk based on organizational cost and firm size. This allows us to theorize the antecedents of what we call the large firm implementation gap (large firms tend to focus on communicating CSR symbolically but do less to implement it into their core structures and procedures) and vice versa the small firm communication gap (less active communication and more emphasis on implementation). Our model expands a new theoretical understanding of CSR engagement based on as yet underemphasized firm‐level antecedents of CSR, and opens up several new avenues for future, and in particular comparative, research.     

UNDERSTANDING MEMBER CHARACTERISTICS AND COOPERATIVE PRICE EFFECTS: THE CASE OF THE ARGENTINEAN DAIRY SECTOR

Since the 1990s, Argentinean dairy‐processing cooperatives have lost considerable amounts of members and market share. We analyse their current role by investigating the characteristics of farmers who continue delivering to them and price differentials between cooperatives and investor‐oriented firms (IOFs). A probit regression model applied to 917 farmers suggests that cooperative farmers are more disadvantaged than farmers delivering to IOFs in terms of education, farm size and productive technology. Moreover, t‐tests applied to data representing 70 per cent of national volume indicate that farmers delivering to cooperatives are between 11 per cent and 29 per cent smaller than those delivering to IOFs, depending on province. A hierarchical multilevel regression model applied to 9,720 transactions among farmers and processors shows that, after controlling for quantity and quality, cooperatives pay lower (3.5%) but more stable prices than IOFs. In a context of rapid structural change, we observe a market in which larger farmers deliver to IOFs and smaller farmers deliver to cooperatives and conclude that, at the expense of paying lower prices, cooperatives may act as buyers of last resort for otherwise disadvantaged farmers.     

What is the role of legal systems in financial intermediation? Theory and evidence

We develop a theory’ and empirical test of how the legal system affects the relationship between venture capitalists and entrepreneurs. The theory uses a double moral hazard framework to show how optimal contracts and investor actions depend on the quality of the legal system. The empirical evidence is based on a sample of European venture capital deals. The main results are that with better legal protection, investors give more non-contractible support and demand more downside protection. These predictions are supported by the empirical analysis. Using a new empirical approach of comparing two sets of fixed-effect regressions, we also find that the investor’s legal system is more important than that of the company in determining investor behavior.     

Identity narratives under threat: A study of former members of Arthur Andersen

This paper examines the processes by which individuals work their sense of organizational and professional identity in the aftermath of a professional failure. Drawing on twenty-five interviews carried out with former members of Arthur Andersen who mostly worked for the firm in Canada and the United Kingdom, we investigate interviewees’ identity work ensuing from the breakdown of the firm. Specifically, identity work comprises processes by which individuals reflectively seek to maintain or revise their sense of identification with the AA organization and also with the public accounting profession, along with developing self-understandings regarding causes and consequences ensuing from the firm’s collapse. Our analysis indicates that four interpretive schemes or patterns mainly characterize interviewees’ identity work: disillusion; resentfulness; rationalization; and hopefulness. Each of these patterns can be viewed as conveying a distinct representation of what “truly” happened within AA. In this sense, identity work, sense-making and truth contests are inextricably linked altogether. Moreover, the present paper underlines the pertinence of studying entangled processes of identity work and sense-making in order to better understand how broader social forces or discourses (e.g., commercialization and risk) are experienced and translated by the self in the context of identity-threatening events. That is, the identity work/sense-making nexus constitutes a relevant theoretical anchoring to study the circulation of discourses in society.     

Measuring Food Product Differentiation by Quality Ratings: A Cross‐Entropy Analysis of Specialty Coffee e‐Auctions

Food quality ratings can be used for product differentiation and strategic marketing. This article develops a differentiation measure based on the cross‐entropy of two distributions for speciality coffees. It examines whether quality ratings achieve their objectives for speciality coffee supply chains. The estimation, using e‐auctions data, indicates that the quality rating is more informative in the Cup of Excellence (CofE) relative to the Q auction. To determine significance, a statistical test for comparing the information measure across different e‐auctions and segments of the quality rating was developed. The significant difference between the two auctions is not a surprise as the auctions trade coffee lots of different volumes and the quality evaluation is more important in the case of the CofE, with its jury of renowned coffee experts. The total cross‐entropy measure of product differentiation shows that the 100‐point quality rating does not carry the same information content and meaning in the two different e‐auctions and their respective supply chains. The cross‐entropy measure of product differentiation is shown to be a good indicator of the information and the value created throughout the speciality food supply chain.