On a variational formulation used in credit risk modeling

We consider the credit risk model of Collin-Dufresne and Goldstein (2001). According to this model, the price of a defaultable bond can be efficiently computed using a variational formulation that consists of an integral relation and a Volterra integral equation. In Collin-Dufresne and Goldstein (2001) this integral equation is justified by a probabilistic intuition, but is not proven formally. In this paper we analytically derive the variational formulation used in Collin-Dufresne and Goldstein (2001). This analysis allows to give a correct characterization of the solution of the integral equation. Furthermore the approach proposed in this paper could also be employed for other models of credit risk.     

On Price Competition with Market Share Delegation Contracts

We identify a mistake in the specification of the demand system used in the strategic delegation model based on market shares by Jansen, van Lier and van Witteloostuijn, whereby the price remains above marginal cost when goods are homogeneous. After amending this aspect, we perform a profit comparison with the alternative delegation scheme à la Fershtman and Judd (1987). Copyright © 2012 John Wiley & Sons, Ltd.     

Managing liquidity with portfolio staleness

Decisions in Economics and Finance - Liquidity is a risk factor of primary relevance that can significantly affect the asset allocation decisions of investors. In this paper, we introduce the...     

The influence of entrepreneurs’ immigrant status and time on the perceived likelihood of exporting

We contribute in this paper to the scant literature on the factors and conditions influencing the development of different perceptions of potential international opportunities for immigrant and native entrepreneurs in the pre-internationalization phase. Specifically, we investigate what factors influence the perceived likelihood entrepreneurs have of exporting. Building on entrepreneurial intentions and opportunity-based entrepreneurial processes, we propose a cognitive account of perceived likelihood of exporting based on entrepreneurs’ perceptions of the desirability and feasibility of export opportunities. We investigate how the immigrant status (i.e., individual characteristics) and time (i.e., contextual factors) influence the relationship between the desirability and feasibility of exporting, and entrepreneurs’ perceived likelihood of exporting. We employ an experimental design on a matched-pair sample of 108 native and immigrant entrepreneurs in domestic technology-based firms. The results are a unique account of the cognitive antecedents of the perceived likelihood of exporting under different temporal conditions, comparing immigrant and native entrepreneurs. We discuss theoretical and practical implications.

     

Semi-analytical prices for lookback and barrier options under the Heston model

Decisions in Economics and Finance - Under the Heston stochastic volatility model, we derive semi-analytical formulas for the prices of path-dependent options with payoffs linked to the maximum or...     

Integrating parametric and non-parametric multivariate analysis of urban growth and commuting patterns in a European metropolitan area

Quality & Quantity - Mono-centric regions have experienced a progressive transformation towards polycentric structures. Transition to discontinuous and dispersed spatial configurations was...     

The Environmental Tax: Effects on Inequality and Growth

Environmental and Resource Economics - Within an R&D-driven growth model, this paper studies how an environmental tax and its cost both for firms and consumers affect individuals’...     

PERFORMANCE MEASUREMENT IN SOLIDARITY ECONOMY ORGANIZATIONS: THE CASE OF FAIR TRADE SHOPS IN ITALY

ABSTRACT: The aim of this paper is to introduce a multidimensional assessment model for organizations that have multiple goals and are not driven exclusively by profit. Therefore, it is an assessment method particularly suitable for social enterprises. In order to measure the efficiency of production units in each dimension, the Data Envelopment Analysis non‐parametric method is applied. Our case study is concerned with Fair Trade shops and members of the consortium Altromercato for which we collected variables that could be associated with input and output for the economic, socio‐cultural and organizational dimensions. The results of the analysis confirm the presence of economies of scale in the economic dimension but not in the socio‐cultural dimension. Moreover, our organizational analysis confirmed a low general professionalization. Our results also confirm, on the one hand, the more pronounced capacity of cooperatives to sell Fair Trade products compared to associations, which, on the other hand, have the tendency to achieve proportionately better results in the socio‐cultural dimension.     

Simulation‐based tests of forward‐looking models under VAR learning dynamics

In this paper we propose a simulation‐based technique to investigate the finite sample performance of likelihood ratio (LR) tests for the nonlinear restrictions that arise when a class of forward‐looking (FL) models typically used in monetary policy analysis is evaluated with vector autoregressive (VAR) models. We consider ‘one‐shot’ tests to evaluate the FL model under the rational expectations hypothesis and sequences of tests obtained under the adaptive learning hypothesis. The analysis is based on a comparison between the unrestricted and restricted VAR likelihoods, and the p‐values associated with the LR test statistics are computed by Monte Carlo simulation. We also address the case where the variables of the FL model can be approximated as non‐stationary cointegrated processes. Application to the ‘hybrid’ New Keynesian Phillips Curve (NKPC) in the euro area shows that (i) the forward‐looking component of inflation dynamics is much larger than the backward‐looking component and (ii) the sequence of restrictions implied by the cointegrated NKPC under learning dynamics is not rejected over the monitoring period 1984–2005. Copyright © 2010 John Wiley & Sons, Ltd.