Risk premiumin the global creditMarkets: 2006-2012

¿What have we learnt from the 2006-2012 crisis, including events such as the subprime crisis, the bankruptcy of Lehman Brothers or the European sovereign debt crisis, among others? It is usually assumed that in firms that have a CDS quotation, this CDS is the key factor in establishing the credit premiumrisk for a new financial asset. Thus, the CDS is a key element for any investor in taking relative value opportunities across a firm’s capital structure. In the first chapter we study the most relevant aspects of the microstructure of the CDS market in terms of pricing, to have a clear idea of how this market works. We consider that such an analysis is a necessary point for establishing a solid base for the rest of the chapters in order to carry out the different empirical studies we perform. In its document “Basel III: A global regulatory framework for more resilient banks and banking systems”, Basel sets the requirement of a capital charge for credit valuation adjustment (CVA) risk in the trading book and its methodology for the computation for the capital requirement. This regulatory requirement has added extra pressure for in-depth knowledge of the CDS market and this motivates the analysis performed in this thesis. The problem arises in estimating of the credit risk premium for those counterparties without a directly quoted CDS in the market. How can we estimate the credit spread for an issuer without CDS? In addition to this, given the high volatility period in the credit market in the last few years and, in particular, after the default of Lehman Brothers on 15 September 2008, we observe the presence of big outliers in the distribution of credit spread in the different combinations of rating, industry and region. After an exhaustive analysis of the results from the different models studied, we have reached the following conclusions. It is clear that hierarchical regression models fit the data much better than those of non-hierarchical regression. Furthermore,we generally prefer the median model (50%-quantile regression) to the mean model (standard OLS regression) due to its robustness when assigning the price to a new credit asset without spread,minimizing the “inversion problem”. Finally, an additional fundamental reason to prefer the median model is the typical "right skewness" distribution of CDS spreads...

Sustainability reporting in European cooperative Banks: an exploratory analysis

Cooperative banks, as a social economy institution, have a special relationship with sustainability. Given the lack of previous studies, we aim to develop an exploratory analysis on sustainability reporting in European cooperative banks. On one hand, we studied the sustainability reporting evolution to know whether the crisis influenced on this practice. On the other hand, we compared cooperative reports with banks' reports. Moreover, we analysed the sustainability reports content to know what information is disclosed by cooperative banks. The results show that although the number of cooperative banks' reports is low, it responds to the weight in the European market. They also illustrate the late incorporation of cooperative banks into sustainability reporting (consequence of their conservative nature). We cannot conclude that differences between banks and cooperative banks were significant, but -in relation to private banks- cooperatives stand out in the use of latest standards, integrated reporting and best application levels. Regarding to the content of sustainability reports, cooperative banks provide more social issues than economic or environmental issues. In the current situation, disclosing information about sustainability would help to reinforce the stakeholders' trust.