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A New Model for Pricing Collateralized Financial Derivatives

Authors: Xiao, Tim;

A New Model for Pricing Collateralized Financial Derivatives

Abstract

This paper presents a new model for pricing financial derivatives subject to collateralization. It allows for collateral arrangements adhering to bankruptcy laws. As such, the model can back out the market price of a collateralized contract. This framework is very useful for valuing outstanding derivatives. Using a unique dataset, we find empirical evidence that credit risk alone is not overly important in determining credit-related spreads. Only accounting for both collateral posting and credit risk can sufficiently explain unsecured credit costs. This finding suggests that failure to properly account for collateralization may result in significant mispricing of derivatives. We also empirically gauge the impact of collateral agreements on risk measurements. Our findings indicate that there are important interactions between market and credit risk. Acknowledge: The empirical data were provided by FinPricing at http://www.finpricing.com/lib/IrSwap.html https://osf.io/preprints/socarxiv/fvdzh/download

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Keywords

bepress|Social and Behavioral Sciences|Economics, Economics, collateralization, asset pricing, plumbing of financial system, swap premium spread, CVA, VaR, interaction between market and credit risk, SocArXiv|Social and Behavioral Sciences|Economics, Computational Finance (q-fin.CP), bepress|Social and Behavioral Sciences|Economics|Finance, Social and Behavioral Sciences, FOS: Economics and business, SocArXiv|Social and Behavioral Sciences|Economics|Finance, Quantitative Finance - Computational Finance, bepress|Social and Behavioral Sciences, SocArXiv|Social and Behavioral Sciences, Pricing of Securities (q-fin.PR), Quantitative Finance - Pricing of Securities, Finance

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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