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In times of implementation of Basel II Approach and financial crisis, the importance of Loss Given Default (LGD), as a measure of expected losses by default of banks, companies, corporations, etc. will increase rapidly. The understanding of central statistical characteristics of LGD will help the Banks, Hedge Funds and other Lending Parties to forecast and measure the potential losses, if a company goes bankrupt. For its prediction should be created new accurate mathematical and risk management models and therefore the involving parties should have more empirical observations from the past and study the existing models in that area.…mehr

Produktbeschreibung
In times of implementation of Basel II Approach and
financial crisis, the importance of Loss Given
Default (LGD), as a measure of expected losses by default
of banks, companies, corporations, etc. will increase
rapidly. The understanding of central statistical
characteristics of LGD will help the Banks, Hedge
Funds and other Lending Parties to forecast and
measure the potential losses, if a company goes
bankrupt. For its prediction should be created new
accurate mathematical and risk management models and
therefore the involving parties should have more
empirical observations from the past and study the
existing models in that area.
Autorenporträt
Ivan Petrov is a Key Account Manager in Infrastructure Financing
Department of Kommunalkredit Austria AG - specialized Bank for
Infrastructure Financing. In 2006 he received his Diploma in
Business Administration from the Vienna University of Economic
and Business Administration with area of concentrations Banking
Studies and Corporate Finance.