An Empirical Analysis of Entrant and Incumbent Bidding in Road Construction Auctions

This paper explores differences in the bidding patterns of entrants and incumbents in road construction auctions. We find that entrants bid more aggressively and win auctions with significantly lower bids than incumbents. The differences in their bidding patterns are consistent with a model of auctions in which the distribution of an entrant's costs exhibits greater dispersion than that of an incumbent's and relations of stochastic dominance in the distributions do not persist for the entire range of estimated costs. We also find that more efficient firms bid, on average, more aggressively and firms with greater backlogs bid less aggressively.     

Uncertainty reduction mechanisms in cross-sector alliances in Latin America

The present study explores three uncertainty reduction mechanisms that arise in the context of business alliance formation to assess whether these same mechanisms also operate in the development of alliances between non-profits and businesses. Secondary data from field-based case studies of Latin American cross-sector alliances are the focus of this analysis. The findings show that the same mechanisms operate to reduce uncertainty in cross-sector alliance formation and that alliance experience appears to determine the presence of some mechanisms.     

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).     

Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies

This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches.     

Towards a Theory of Organizational Improvisation: Looking Beyond the Jazz Metaphor

abstract This paper calls for research on organizational improvisation to go beyond the currently dominant jazz metaphor in theory development. We recognize the important contribution that jazz improvisation has made and will no doubt continue to make in understanding the nature and complexity of organizational improvisation. This article therefore presents some key lessons from the jazz metaphor and then proceeds to identify the possible dangers of building scientific inquiry upon a single metaphor. We then present three alternative models – Indian music, music therapy and role theory. We explore their nature and seek to identify ways in which the insights they generate complement those from jazz. This leads us to a better understanding of the challenges of building a theory of organizational improvisation.     

Prepurchase financing pool: Revealing the IRR problem

Internal rate of return (IRR) is one of the most common and important indicators in investment analysis because it is often used by managers and practitioners as a decision-making criterion. Moreover, the IRR reflects the financial cost in financing decisions and it helps to answer the following question when comparing different financing alternatives: “Which loan is the cheapest?” Among the different types of loans in Brazil, there is a financial product called a prepurchase financing pool (PPFP) that is generally regarded as the best option for financing or loans. The objective of this article is to use the prepurchase financing pool to show the flaws of IRR in financial analysis. In particular, when IRR is used to evaluate the prepurchase financing pool, one finds problems of reliability regarding (i) existence, (ii) uniqueness, and (iii) economic interpretation of the rate. The results show that the prepurchase financing pool is relevant evidence that the IRR flaws are found in financial products.     

Capital services estimates in Portuguese industries, 1977–2003

This paper presents capital services estimates for 26 Portuguese industries for the 1977–2003 period. The estimation procedure follows an integrated approach under which the flows of capital services are approximated as a proportion of the capital stock converted into standard efficiency units. Our findings suggest a close proximity between the evolution of capital flows and the observed fluctuations of Portuguese macroeconomic growth. TFP growth estimates based on growth accounting reveal, furthermore, a very disappointing performance of the Portuguese economy during the period under study, with an average annual rate of TFP growth of 0.8% being observed. Performance varies across industries, but the bulk of activities show very modest rates of TFP growth.     

Does Aid Cause Trade? Evidence from an Asymmetric Gravity Model

Anderson and vanWincoop developed what has become the standard framework for framing and interpreting empirical work using the gravity model. Their framework relies heavily on an assumption of symmetry among countries. For issues related to North‐South trade, this assumption is problematic. In this paper, we develop an asymmetric extension of the Anderson–vanWincoop framework appropriate to the analysis of North‐South trade, where Northern countries produce differentiated goods and Southern countries homogenous ones. In addition, we use an appropriately extended version of Baier and Bergtrand and Taylor linear expansion – thus permitting its estimation using (good old) OLS. The result is an empirical model that (i) is better suited to the analysis of North‐South trade, (ii) is easy to estimate and compute comparative statics, not requiring a customised NLS routine and, given the way the South is included, (iii) provides a simple explanation of zero trade flows between some country pairs, a fact still not fully explained in the literature. As an illustration of its use, we examine the empirical link between foreign aid and trade.