The rise of risk-based pricing of mortgage interest rates in Italy

This paper assesses how much mortgage interest rates in Italy are priced on credit risk as proxied by the probability of household mortgage delinquency estimated using the EU-Silc database. Owing to data availability, we restrict the analysis of mortgage pricing to Italian households. Consistent with the more widespread use of credit scoring, estimates indicate that Italian lenders have increasingly priced mortgage interest rates on household credit risk. For mortgages granted between 2000 and 2007, we find that a 1% point increase in the probability of default is associated with a 21 basis point rise in mortgage interest rates, lower than the 38 basis point premium Edelberg (2006) estimated for the US at the end of the 1990s.     

How an international ambidexterity strategy can address the paradox perspective on corporate sustainability: Evidence from Chinese emerging market multinationals

Corporate sustainability (CS) is receiving considerable attention from emerging market multinational enterprises (EMNEs), playing an important role in the globalized market. However, theoretical and empirical knowledge about how EMNEs address CS is still scant, and the relationship between internationalization and CS has not been widely explored. This study aims to fill this gap, evaluating the relationship between an international ambidexterity strategy and CS in EMNEs, which highlighted the paradox perspective. Then we develop three hypotheses in which we argue how the dynamic capabilities underpinning international ambidexterity could be considered a driver of CS in EMNEs. We test the developed hypotheses against data from 300 Chinese EMNEs obtained by a survey. Our results contribute to shape ambidextrous international strategies and to consider CS as a springboard for the strategic intent to systematically and recursively outperform global competition. Testing a measurement scale of international ambidexterity, we suggest structural ambidexterity as a strategic option of internationalization that allows the achievement of economic, social, and environmental sustainability objectives.     

How useful are no-arbitrage restrictions for forecasting the term structure of interest rates?

We develop a general framework for analyzing the usefulness of imposing parameter restrictions on a forecasting model. We propose a measure of the usefulness of the restrictions that depends on the forecaster’s loss function and that could be time varying. We show how to conduct inference about this measure. The application of our methodology to analyzing the usefulness of no-arbitrage restrictions for forecasting the term structure of interest rates reveals that: (1) the restrictions have become less useful over time; (2) when using a statistical measure of accuracy, the restrictions are a useful way to reduce parameter estimation uncertainty, but are dominated by restrictions that do the same without using any theory; (3) when using an economic measure of accuracy, the no-arbitrage restrictions are no longer dominated by atheoretical restrictions, but for this to be true it is important that the restrictions incorporate a time-varying risk premium.     

Corruption, growth and ethnic fractionalization: a theoretical model

This paper analyzes the existing relationship between ethnic fractionalization, corruption and the growth rate of a country. We provide a simple theoretical model. We show that a nonlinear relationship between fractionalization and corruption exists: corruption is high in homogeneous or very fragmented countries, but low where fractionalization is intermediate. In fact, when ethnic diversity is intermediate, constituencies act as a check and balance device to limit ethnically-based corruption. Consequently, the relationship between fractionalization and growth rate is also non-linear: growth is high in the middle range of ethnic diversity, low in homogeneous or very fragmented countries.     

Supply chain configurations in a global environment: A longitudinal perspective

In the last few years, companies have paid growing attention to the management of their supply chain at a global level. The need for better suppliers, international competition and research of specific competences have forced companies to improve their ability to cope with suppliers and customers located in different countries around the world. This paper aims to provide an overview of how manufacturing companies use global supply chains and how their behaviour changes over time. Longitudinal data from a sample of companies from the last two editions of the International Manufacturing Strategy Survey (IMSS) are used. A contingent analysis of manufacturing localization and globalization is also considered in order to identify factors influencing supply chain globalization strategies. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

MODEL COMPARISONS IN UNSTABLE ENVIRONMENTS

The goal of this article is to develop formal tests to evaluate the relative in‐sample performance of two competing, misspecified, nonnested models in the presence of possible data instability. Compared to previous approaches to model selection, which are based on measures of global performance, we focus on the local relative performance of the models. We propose tests that are based on different measures of local performance and that correspond to different null and alternative hypotheses. The empirical application provides insights into the time variation in the performance of a representative Euro‐area Dynamic Stochastic General Equilibrium model relative to that of VARs.     

A Note on Capital IQ's Credit Line Data

Empirical work in finance is increasingly using Capital IQ's detailed data on capital structure. We compare the Capital IQ credit line data to hand‐collected data for a random sample of firms. Missing values in Capital IQ are prevalent, so the data set underreports the importance of corporate credit lines. When data are reported, Capital IQ often differs from hand‐collected credit line activity. We suggest methods for correcting the errors in the Capital IQ data, note which portions of the data are most reliable, and quantify the effects of Capital IQ's underreporting by examining the tradeoff between cash and lines of credit.     

R&D Corporate Planning: Selecting the Core Technological Competencies

This paper deals with the selection of a firm's technological competencies on which to concentrate development efforts in a long term view. The perspective is that of corporate R&D which has to identify the technological competencies relevant to future competition and select those core for the firm. This process faces a major challenge, especially to put together different issues relevant to the problem: identify future scenarios and predict how new industries will be shaped, evaluate the potential of future markets, estimate the role and relevance of the technologies involved, identify a balanced set of technologies. This paper proposes a comprehensive methodology to support the process of selection of core technological competencies.