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Englisch
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Beschreibung
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.
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.
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.
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.
Details
Genre: | Wirtschaft |
---|---|
Rubrik: | Recht & Wirtschaft |
Medium: | Taschenbuch |
ISBN-13: | 9783639178081 |
ISBN-10: | 3639178084 |
Sprache: | Englisch |
Autor: | Petrov, Ivan |
Hersteller: | VDM Verlag Dr. Müller |
Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
Maße: | 220 x 150 x 4 mm |
Von/Mit: | Ivan Petrov |
Gewicht: | 0,122 kg |
Details
Genre: | Wirtschaft |
---|---|
Rubrik: | Recht & Wirtschaft |
Medium: | Taschenbuch |
ISBN-13: | 9783639178081 |
ISBN-10: | 3639178084 |
Sprache: | Englisch |
Autor: | Petrov, Ivan |
Hersteller: | VDM Verlag Dr. Müller |
Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
Maße: | 220 x 150 x 4 mm |
Von/Mit: | Ivan Petrov |
Gewicht: | 0,122 kg |
Sicherheitshinweis