Relationship lending and firm innovativeness

This study investigates the effects of close ties between firms and banks – as measured by the share and length of the relationship with the main bank, and by the number of lenders – on a firm's ability to develop innovation and introduce new products. As these effects may vary depending on both the type of firm and innovation, this study provides results for small and high-tech firms and distinguishes between process and product innovation. The results suggest that for small firms banks do not intervene at the development stage of an innovation but rather play their traditional role of financing investments for constrained firms. In contrast, relationship banks do play an important role for high-tech firms in the development of a process innovation and in the introduction of new products. In addition, for both types of firms, the financing decision of the main bank seems to be correlated with the lending behaviour of other banks, with multiple borrowing exerting a positive effect on firm innovative capability.     

The cloud and its silver lining: negative and positive spillovers from automotive recalls

Marketing Letters - Product recalls hurt the sales of non-recalled products in the category because of negative spillovers. Recently, there has been some evidence of positive spillovers from...     

The flight home effect: Evidence from the syndicated loan market during financial crises

This paper shows that the collapse of the global market for syndicated loans during financial crises can in part be explained by a flight home effect whereby lenders rebalance their loan portfolios in favor of domestic borrowers. The home bias of lenders' loan origination increases by approximately 20% if the bank's home country experiences a banking crisis. This flight home effect is distinct from flight to quality because borrowers of different quality are equally affected. The results indicate that the home bias in capital allocation tends to increase when adverse economic shocks reduce the wealth of international investors.     

Does Temporal Aggregation Explain the Persistence of the S&P/Case‐Shiller Indices? Evidence from a Longitudinal Specification

Temporal aggregation is a repeat sale index construction methodology that consists of aggregating paired‐transactions in a moving‐average window. In particular, the methodology is used to calculate the popular S&P/Case‐Shiller home price indices. In this article, I focus the insights of the literature on measurement error to demonstrate that temporal aggregation produces idiosyncratic biases in predictive regression slopes. I further estimate a dynamic instrumental variable (IV) panel for the 20 S&P/Case‐Shiller metro areas. The main empirical finding is that temporal aggregation is a short‐lived statistical disturbance that does not explain the homogenous robust persistence of the indices.     

SOCIAL INVESTMENT AND YOUTH LABOR MARKET PARTICIPATION

In this paper, we first rely on small area techniques to derive from EU statistics on income and living conditions (EU‐SILC) survey new indicators of compensatory and social‐investment policies at regional level. While compensatory policies have mainly the goal of protecting individuals from “old” risks (e.g., old‐age), investment‐related social policies tend to focus more on “new social risks” (e.g., skill deficits). We rely on these new indicators to perform a data‐driven structural vector autoregressive (SVAR) analysis to investigate the causal relationships between youth labor market outcomes and these two types of spending. Our results support the view that social‐investment policies are effective for tackling new social challenges. (JEL C18, C54, E02)     

The effects of integration on regional disparities: Convergence, divergence or both?

This paper offers an explanation for the coexistence of convergence across countries and the lack thereof at the regional level in the European Union. The model shows that, even if it accelerates growth and brings convergence across countries, the intensification of international knowledge spillovers due to more cross-country interaction may exacerbate within-country regional disparities, if regions with different specialization do not benefit evenly from the exchange of knowledge. The empirical evidence supports the implications of the model. In particular, the data show that regions specialized in advanced sectors at the beginning of the sample period became more similar in terms of per capita income, while regions specialized in traditional sectors lagged.     

The stock market’s reaction to macroeconomic news under ambiguity

Financial Markets and Portfolio Management - We investigate the quality of the information that macroeconomic news conveys to the stock market about future business conditions. Our econometric...     

Model risk and option hedging

This paper presents a theoretical approach to option hedging and valuation when traders are facing model risk. Model risk is restrictively defined as the financial risk resulting from the choice of an approximating model to proxy for the true but ex-ante unknown state space of the underlying security process. A generalized model is defined for estimating the appropriate volatility markup, which is dependent on the noisiness of the volatility estimate over time. Delta neutral hedge portfolios are created using simulated S&P 500 option prices to demonstrate that using a volatility markup in the traditional binomial model reduces model risk.