Insider employee stock option trading and stock prices

The question of which factors determine corporate bonds pricing is investigated by analysing the spreads of eurobonds issued by major G-10 companies during the 1991–2001 period. Three main results emerge from the analysis. First, bond ratings appear as the most important determinant of yield spreads, with investors’ reliance on rating agencies judgments increasing over time. Second, the primary market efficiency and the expected secondary market liquidity are not relevant explanatory factors of spreads cross-sectional variability. Finally, rating agencies adopt a different, ‘through the cycle’, evaluation criteria of default risk with respect to the forward looking one adopted by bond investors.     

Modeling hard and soft facts for SMEs: Some international evidence

This paper asks how well the use of quantitative and qualitative variables can improve the assessment of companies' creditworthiness and how this result can be influenced by the economic and financial peculiarities of countries. We harden qualitative variable measures to model soft information aimed at scoring microfirms, small, and medium‐sized firms. The structural survey covers Germany, Italy, and the UK in a sample of about 17 thousand companies observed during the financial crisis. Soft facts are determined within the balanced scorecard framework in order to find out the impact of customers, business processes, learning and growth, and financial perspectives. Our findings show that credit models integrating soft variables optimize the risk estimation, but estimates are country‐specific and should be tailored to the characteristics of each economic system.     

Controlling risks to ensure financial stability and reducing volatility

The 11th International Risk Management Conference was held at the University of Paris‐Dauphine and the EM LYON Business School (Paris Campus) in June 2018. The conference theme “1968–2018: From Z‐Score to Contemporary Risk Management, 50 Years of Risk Measurement and Management” was selected as a means to showcase the many ways that financial risk measurement has evolved and impacted financial risk management in banks and corporations as well as the tools used by asset managers and market regulators. The four papers included in this special issue of the Journal of International Financial Management and Accounting focus on a wide range of issues: How small differences in credit ratings effect the speed of adjustment in corporate leverage, the impact of using soft variables to assess default probabilities in European corporations, a new approach to measuring a company's intrinsic risk, and the effectiveness of short sale circuit breaker rules to limit stock price volatility. Our Foreword highlights the main findings of these papers and offers our assessment of the lessons they provide for financial managers and policymakers.     

Asset correlations and bank capital adequacy

This paper addresses the estimation of confidence sets for asset correlations used in credit risk portfolio models. Research on the estimation of asset correlations using endogenous probabilities of default estimations has focused on the impact of concentration risk factors, such as firm size and industry. The empirical evidence from Italian small- and medium-size companies show that the assumptions underlying the Basel Committee regulatory capital risk weight function are not substantiated. The regulatory impact is that the capital adequacy is significantly compromised, driving an adverse selection, which favors the worst companies, and transferring the procyclical effects from firms to banks.     

Hedging with futures: Efficacy of GARCH correlation models to European electricity markets

European electricity markets have been subject to a broad deregulation process in the last few decades. We analyse hedging policies implemented through different hedge ratios estimation. More specifically we compare naïve, ordinary least squares, and GARCH conditional variance and correlations models to test if GARCH models lead to higher variance reduction in a context of high time varying volatility as the case of electricity markets. Our results show that the choice of the hedge ratio estimation model is central on determining the effectiveness of futures hedging to reduce the portfolio volatility.     

Market microstructure,banks’ behaviour and interbank spreads: evidence after the crisis

We present a study of the European electronic interbank market of overnight lending (e-MID) before and after the beginning of the financial crisis. The main goal of the paper is to explain the structural changes of lending/borrowing features due to the liquidity turmoil. Unlike previous contributions that focused on banks’ dependent and macro information as explanatory variables, we address the role of banks’ behaviour and market microstructure as determinants of the credit spreads. We show that all banks experienced significant variations in their liquidity costs due to the sensitivity of interbank rates to the timing and side of trades. We argue that, while larger banks did experience better funding conditions after the crisis, this was not just a consequence of the “too big to fail” perception of the market. Larger banks have been able to play more strategically when managing their liquidity by taking advantage of the changing market microstructure.

     

Financial systems in financial crisis — An analysis of banking systems in the EU

This Forum aims to systematically describe and analyse the evolution of national financial systems within the EU over the past three decades. It analyses the processes of financialisation that have dominated this period as well as the causes and consequences of the financial crisis from the perspectives of five individual member states — Germany, France, the UK, Italy and Spain. Furthermore, policy proposals which could change the role of the financial system to better serve economic and social objectives are also put forward.     

Regulating the banking sector to support credit access: Evidence from small business

This study investigated the effectiveness of regulatory interventions in mitigating the harmful effects of financial crises on small firms. We examine the impact of a support factor implemented by European policymakers on Italian micro-, small-, and medium-sized enterprises (MSMEs) between 2007 and 2017. The analysis uses a difference-in-differences approach to assess the credit conditions of these firms. Contrary to expectations, our results show that MSMEs in Italy continue to face credit constraints even after the introduction of the support factor. In contrast, we find that structural factors and portfolio effects play a more important role in promoting favorable credit conditions for small firms. Our results highlight the importance of considering these factors in conjunction with regulatory interventions to achieve better outcomes. This study has implications for policymakers and stakeholders, particularly in assessing the appropriateness of extending support factors for different policy purposes.