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118 Results

Credit Risk Transfer and Bank Insolvency Risk

Staff Working Paper 2017-59 Maarten van Oordt
The present paper shows that, everything else equal, some transactions to transfer portfolio credit risk to third-party investors increase the insolvency risk of banks. This is particularly likely if a bank sells the senior tranche and retains a sufficiently large first-loss position.

Productivity, the Terms of Trade, and the Real Exchange Rate: The Balassa-Samuelson Hypothesis Revisited

Staff Working Paper 2009-22 Ehsan U. Choudhri, Lawrence L. Schembri
The paper examines how the Balassa-Samuelson hypothesis is affected by a modern variation of the standard model that allows product differentiation (within the traded and nontraded goods sectors) with the number of firms determined exogenously or endogenously.
Content Type(s): Staff research, Staff working papers Topic(s): Exchange rates, Productivity JEL Code(s): F, F3, F31, F4, F41

Pricing Interest Rate Derivatives in a Non-Parametric Two-Factor Term-Structure Model

Staff Working Paper 1999-19 John Knight, Fuchun Li, Mingwei Yuan
Diffusion functions in term-structure models are measures of uncertainty about future price movements and are directly related to the risk associated with holding financial securities. Correct specification of diffusion functions is crucial in pricing options and other derivative securities. In contrast to the standard parametric two-factor models, we propose a non-parametric two-factor term-structure model that […]

Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours

Staff Working Paper 2018-60 Erhao Xie
This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions.

Understanding DeFi Through the Lens of a Production-Network Model

Staff Working Paper 2023-42 Jonathan Chiu, Thorsten Koeppl, Hanna Yu, Shengxing Zhang
We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.
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