The Effects of Screening and Monitoring on Credit Rationing of SMEs

In this paper, we seek to empirically assess which determinants of the capability and incentives of banks to screen and monitor firms are significant in explaining credit rationing to Italian SMEs. After testing for the presence of non‐random selection bias and the potential endogeneity of some determinants of interest, the probit model results we obtain suggest that the average banking size and the multiple banking relationship phenomenon are statistically significant factors affecting credit rationing, presumably through their impact on the aforementioned banks' capability and incentives. Other potential determinants of banks' incentives to monitor and screen, such as local banking competition and firm' capacity to collateralize, are never significant. However, when we split the sample according to the level of competition in credit markets, we find that the estimated marginal effects of all significant determinants of interest are larger in absolute value than those obtained when using the whole sample.     

ARBITRAGE‐FREE BILATERAL COUNTERPARTY RISK VALUATION UNDER COLLATERALIZATION AND APPLICATION TO CREDIT DEFAULT SWAPS

We develop an arbitrage‐free valuation framework for bilateral counterparty risk, where collateral is included with possible rehypothecation. We show that the adjustment is given by the sum of two option payoff terms, where each term depends on the netted exposure, i.e., the difference between the on‐default exposure and the predefault collateral account. We then specialize our analysis to credit default swaps (CDS) as underlying portfolios, and construct a numerical scheme to evaluate the adjustment under a doubly stochastic default framework. In particular, we show that for CDS contracts a perfect collateralization cannot be achieved, even under continuous collateralization, if the reference entity’s and counterparty’s default times are dependent. The impact of rehypothecation, collateral margining frequency, and default correlation‐induced contagion is illustrated with numerical examples.     

A Measurement Framework for Assessing the Contribution of Social Media to Public Engagement: An empirical analysis on Facebook

The public sector is increasingly turning to social media as a means to communicate and interact with citizens, but little is known about the contribution that these social technologies make to public engagement. This paper used a scoping literature review of studies examining social media in order to develop a framework that measures two Facebook features (popularity and commitment), which was then used to evaluate two different levels of public engagement (public communication and public participation). The framework was validated by applying it to the Facebook pages of several Italian city administrations, and a social media engagement matrix was proposed to interpret the findings.     

The value relevance of IFRS in the European banking industry

The main purpose of the paper is to investigate the market valuation of accounting information in the European banking industry before and after the adoption of IFRS, the latest version of International Accounting Standards. In a value relevance framework, we apply panel methods to a multiplicative interaction model, in which the partial effects of earnings and book value on share prices are conditional on the adoption of IFRS. According to our evidence, the IFRS introduction enhanced the information content of both earnings and book value for more transparent banks. By contrast, less transparent entities did not experience significant increase in the value relevance of book value.     

Business investment in euro area countries: the role of institutions and debt overhang

The recovery of business investment in the euro area has been sluggish, thereby hampering aggregate demand in the short term and potential growth in the long run. While we show that business investment can be associated to cost and supply of credit, cyclical demand conditions and economic uncertainty. But we also find evidence of additional factors. We suggest that there exists a link between excess leverage and weak economic institutions on the one hand and subdued investment growth on the other hand. Moreover, in euro area countries with both larger excess leverage and weaker economic institutions, the link with business investment is found to be stronger. The link between investment and weak institutions or excess leverage highlights the importance of structural reforms aimed at easing business regulations, reducing administrative burdens and increasing the efficiency of insolvency frameworks. These reforms are thus expected to reduce distortions in the allocation of resources and be supportive of a smoother deleveraging process, hence fostering business investment.     

Non‐Reciprocal Trade Preferences and the Role of Compliance Costs in the Agricultural Sector: Exports to the EU

We investigate whether non‐reciprocal preferential regimes granted by the European Union have an impact on agricultural export flows from beneficiary countries while accounting for the costs of compliance that may prevent exporters from taking full advantage of potential benefits. Compliance costs are heterogeneous and difficult to measure. We proxy their influence and specify a model that allows for a different preferential margin impact according to the proxy costs. Adopting the gravity framework and using a sample of 554 lines of agricultural products for 131 developing countries in 2002, we find that the costs of compliance play a role in making the schemes work: the lower the costs, the greater the impact of the preferential margins. Moreover, the estimated margin effect differs between different regimes.     

On the statistical identification of DSGE models

Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession not only from the theoretical perspective but also from an empirical standpoint. As a consequence of this development, methods for diagnosing the fit of these models are being proposed and implemented. In this article we illustrate how the concept of statistical identification, that was introduced and used by Spanos [Spanos, Aris, 1990. The simultaneous-equations model revisited: Statistical adequacy and identification. Journal of Econometrics 44, 87–105] to criticize traditional evaluation methods of Cowles Commission models, could be relevant for DSGE models. We conclude that the recently proposed model evaluation method, based on the DSGE–VAR(λ)$\left(\lambda \right)$, might not satisfy the condition for statistical identification. However, our application also shows that the adoption of a FAVAR as a statistically identified benchmark leaves unaltered the support of the data for the DSGE model and that a DSGE–FAVAR can be an optimal forecasting model.     

Current account and real effective exchange rate misalignments in Central Eastern EU countries: An update using the macroeconomic balance approach

We make an assessment of the current account and price competitiveness of the Central Eastern European countries that joined the EU, using data up to 2016. Foreign capital flows, fiscal balance and relative output growth seem to play a crucial role in explaining the current account balance. The real effective exchange rate gaps behave in accord with the current account misalignments, which clearly display cyclical behaviour. When foreign direct investments are introduced as a determinant, the misalignments are larger in boom periods (positive misalignments), whereas the negative misalignments are smaller in magnitude. Overall, the countries have moved closer to their equilibria since 2010.     

Robust XVA

We introduce an arbitrage‐free framework for robust valuation adjustments. An investor trades a credit default swap portfolio with a risky counterparty, and hedges credit risk by taking a position in defaultable bonds. The investor does not know the exact return rate of her counterparty's bond, but she knows it lies within an uncertainty interval. We derive both upper and lower bounds for the XVA process of the portfolio, and show that these bounds may be recovered as solutions of nonlinear ordinary differential equations. The presence of collateralization and closeout payoffs leads to important differences with respect to classical credit risk valuation. The value of the super‐replicating portfolio cannot be directly obtained by plugging one of the extremes of the uncertainty interval in the valuation equation, but rather depends on the relation between the XVA replicating portfolio and the closeout value throughout the life of the transaction. Our comparative statics analysis indicates that credit contagion has a nonlinear effect on the replication strategies and on the XVA.