C23 - Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal ModelsNávrat zpět

Credit default swap spreads can be used as an indicator of the potential situation in a firm or economy. The instruments for credit risk management become popular among investors and together with a boom of financial innovation, a credit default swap index contract was introduced in June 2004. Since credit default swap spreads represent an indicator of credit risk, the investors and other market participants are interested in factors that can affect credit default swap spread. The aim of this paper is to examine the influence of selected determinants of contracts included in iTraxx Europe Senior Financials index on credit default swap spreads using monthly changes. To capture the changing role of the selected determinants, a panel regression is employed in the crisis and the post-crisis periods. The results confirm the findings of previous research and show that the theoretical relationships hold in cases when observed determinants are statistically significant. Furthermore we proved that the determinants are dependent on the prevailing market circumstances.

As liquidity problems of some banks during global financial crisis showed, liquidity is very important for functioning of financial markets and the banking sector. This paper therefore aims to identify determinants of liquidity of Hungarian commercial banks. The data cover the period from 2001 to 2010. Results of panel data regression analysis show that bank liquidity is positively related to capital adequacy of banks, interest rate on loans and bank profitability and negatively related to the size of the bank, interest margin, monetary policy interest rate and interest rate on interbank transaction. The relation between the growth rate of gross domestic product and bank liquidity is ambiguous.

Článek zkoumá vliv vybraných bankovních rizik na čistou úrokovou marži (NIM) bank z českého bankovního sektoru. Je odhadován potenciální vliv kreditního, likviditního, úrokového a kapitálového rizika na čistou úrokovou marži bank. Analýza je provedena na ročních panelových datech bank České republiky v období let 2000-2009. Klíčovou metodou zkoumání je panelová regrese s fixními efekty. Z výsledků empirických testů vyplývá, že vybraná rizika nejsou významnými determinanty čisté úrokové marže. Odhady ukazují, že růst kapitálového rizika způsobuje zvýšení čisté úrokové marže. Naopak s růstem rizika likviditního je spojeno snížení čisté úrokové marže.