Women's bank

General note: Title and date provided by Bettye Lane.

Women's bank

General note: Title and date provided by Bettye Lane.

Women's bank

General note: Title and date provided by Bettye Lane.

Mary Anne Krupsak opening a checking account at the Women's bank

General note: Title and date provided by Bettye Lane.

Women's bank

General note: Title and date provided by Bettye Lane.

President Madeline McWhinney at Women's bank press conference

General note: Title and date provided by Bettye Lane.

Demonstration against First National City Bank

General note: Title and date provided by Bettye Lane.

Women's bank

General note: Title and date provided by Bettye Lane.

Women's bank

General note: Title and date provided by Bettye Lane.

Credit department of bank office

General note: Title and date provided by Bettye Lane.

Eileen Preiss, Vice President of Women's bank

General note: Title and date provided by Bettye Lane.

Carlos Gowland y el ex-Banco Nacional: á mis amigos y al público

Signed on p. 27: Carlos Gowland.

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...

Executive order no. 2016-42

This executive order by Governor Nikki R. Haley declares October 5, 6, 7, 8, 9, 11, and 12, 2016 to be legal holidays for banks and savings and loan institutions in the State of South Carolina that were forced to close due to my Orders, other State actions, or hazardous weather conditions caused as a result of Hurricane Matthew.

Ownership structure and risk at Colombian banks

The separation between ownership and the control of capital in banks generates differences in the preferences for risk among shareholders and the manager. These differences could imply a corporate governance problem in banks with a dispersed ownership, since owners fail to exert control in the allocation of capital. In this paper we examine the relationship between the ownership structure and risk for Colombian banks. Our results suggest that a high ownership concentration leads to higher levels of risk.