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Keywords:counterparty credit risk 

Working Paper
Stochastic Intensity Models of Wrong Way Risk: Wrong Way CVA Need Not Exceed Independent CVA

Wrong way risk can be incorporated in Credit Value Adjustment (CVA) calculations in a reduced form model. Hull and White [2012] introduced a CVA model that captures wrong way risk by expressing the stochastic intensity of a counterparty's default time in terms of the financial institution's credit exposure to the counterparty. We consider a class of reduced form CVA models that includes the formulation of Hull and White and show that wrong way CVA need not exceed independent CVA. This result is based on some general properties of the model calibration scheme and a formula that we derive for ...
Finance and Economics Discussion Series , Paper 2014-54

Working Paper
Un-Networking: The Evolution of Networks in the Federal Funds Market

Using a network approach to characterize the evolution of the federal funds market during the Great Recession and financial crisis of 2007-2008, we document that many small federal funds lenders began reducing their lending to larger institutions in the core of the network starting in mid-2007. But an abrupt change occurred in the fall of 2008, when small lenders left the federal funds market en masse and those that remained lent smaller amounts, less frequently. We then test whether changes in lending patterns within key components of the network were associated with increases in ...
Finance and Economics Discussion Series , Paper 2015-55

Working Paper
Efficient Monte Carlo Counterparty Credit Risk Pricing and Measurement

Counterparty credit risk (CCR), a key driver of the 2007-08 credit crisis, has become one of the main focuses of the major global and U.S. regulatory standards. Financial institutions invest large amounts of resources employing Monte Carlo simulation to measure and price their counterparty credit risk. We develop efficient Monte Carlo CCR estimation frameworks by focusing on the most widely used and regulatory-driven CCR measures: expected positive exposure (EPE), credit value adjustment (CVA), and effective expected positive exposure (EEPE). Our numerical examples illustrate that our ...
Finance and Economics Discussion Series , Paper 2014-114

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Ghamami, Samim 2 items

Beltran, Daniel O. 1 items

Bolotnyy, Valentin 1 items

Goldberg, Lisa R. 1 items

Klee, Elizabeth C. 1 items

Zhang, Bo 1 items

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