Książka Dependence Structures and Limiting Results Arthur Charpentier

Dependence Structures and Limiting Results

with Applications in Finance and Insurance

Język: Angielski
Oprawa: Miękka
Wydawca: VDM Verlag
Dostępność: Dostępna u dostawcy
Wysyłamy za 14-21 dni
344.81
"Extreme, synchronized rises and falls in financial§markets occur infrequently but they do occur. Th...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2008
strony
224
EAN
9783836492447
ISBN
383649244X
Enbook ID
06846737
Wydawca
Waga
304
Wymiary
152 x 229 x 12

Pełny opis

"Extreme, synchronized rises and falls in financial§markets occur infrequently but they do occur. The§problem with the models is that they did not assign a§high enough chance of occurrence to the scenario in§which many things go wrong at the same time - the§'em perfect storm' scenario" (Business Week,§September 1998).§§This book focuses on limiting theorems for copulae.§Because joint dependences of extremal events is§nowadays is key issue in risk management, it becomes§crucial to get a better understanding of behavior of§copulas in tails. The first chapter presents a survey§on copulae, and possible applications in risk§management. The following chapters present some§canonical theorems for copulae, and the link between§this approach and standard results on multivariate§extreme is explained. A concluding chapter presents a§survey on graphical procedures to represent copula§densities (with proper fit) in tails. "Extreme, synchronized rises and falls in financial§markets occur infrequently but they do occur. The§problem with the models is that they did not assign a§high enough chance of occurrence to the scenario in§which many things go wrong at the same time - the§''em perfect storm'' scenario" (Business Week,§September 1998).§This book focuses on limiting theorems for copulae.§Because joint dependences of extremal events is§nowadays is key issue in risk management, it becomes§crucial to get a better understanding of behavior of§copulas in tails. The first chapter presents a survey§on copulae, and possible applications in risk§management. The following chapters present some§canonical theorems for copulae, and the link between§this approach and standard results on multivariate§extreme is explained. A concluding chapter presents a§survey on graphical procedures to represent copula§densities (with proper fit) in tails.

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