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Counterparty Risk and Funding - A Tale of Two Puzzles (Paperback)
Loot Price: R1,498
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Counterparty Risk and Funding - A Tale of Two Puzzles (Paperback)
Series: Chapman and Hall/CRC Financial Mathematics Series
Expected to ship within 12 - 17 working days
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Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio
Credit Risk Counterparty Risk and Funding: A Tale of Two Puzzles
explains how to study risk embedded in financial transactions
between the bank and its counterparty. The authors provide an
analytical basis for the quantitative methodology of dynamic
valuation, mitigation, and hedging of bilateral counterparty risk
on over-the-counter (OTC) derivative contracts under funding
constraints. They explore credit, debt, funding, liquidity, and
rating valuation adjustment (CVA, DVA, FVA, LVA, and RVA) as well
as replacement cost (RC), wrong-way risk, multiple funding curves,
and collateral. The first part of the book assesses today's
financial landscape, including the current multi-curve reality of
financial markets. In mathematical but model-free terms, the second
part describes all the basic elements of the pricing and hedging
framework. Taking a more practical slant, the third part introduces
a reduced-form modeling approach in which the risk of default of
the two parties only shows up through their default intensities.
The fourth part addresses counterparty risk on credit derivatives
through dynamic copula models. In the fifth part, the authors
present a credit migrations model that allows you to account for
rating-dependent credit support annex (CSA) clauses. They also
touch on nonlinear FVA computations in credit portfolio models. The
final part covers classical tools from stochastic analysis and
gives a brief introduction to the theory of Markov copulas. The
credit crisis and ongoing European sovereign debt crisis have shown
the importance of the proper assessment and management of
counterparty risk. This book focuses on the interaction and
possible overlap between DVA and FVA terms. It also explores the
particularly challenging issue of counterparty risk in portfolio
credit modeling. Primarily for researchers and graduate students in
financial mathematics, the book is also suitable for financial
quants, managers in banks, CVA desks, and members of supervisory
bodies.
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