نتایج جستجو برای: normal commitments

تعداد نتایج: 565838  

Journal: :Int. J. Game Theory 2004
Juan J. Vidal-Puga

We study a simple bargaining mechanism in which, given an order of players, the first n− 1 players sequentially announce their reservation price. Once these prices are given, the last player may choose a coalition to cooperate with, and pay each member of this coalition his reservation price. The only expected final equilibrium payoff is a new solution concept, the “selective value”, which can ...

Journal: :CoRR 2012
Kevin P. Costello Prasad Tetali Pushkar Tripathi

We consider the following stochastic optimization problem first introduced by Chen et al. in [7]. We are given a vertex set of a random graph where each possible edge is present with probability pe. We do not know which edges are actually present unless we scan/probe an edge. However whenever we probe an edge and find it to be present, we are constrained to picking the edge and both its end poi...

Journal: :Journal of Banking & Finance 1991

Journal: :Oxford Bulletin of Economics and Statistics 2011

Journal: :Electronic Commerce Research and Applications 2005

2015
Sudheer Chava Robert Jarrow

Loan commitments represent more than 82 percent of all commercial and industrial loans by domestic banks. This paper develops a valuation model for loan commitments incorporating early exercise, multiple fees, partial exercise and credit risk. The model is analytically tractable and easy to implement. Using a sample of commercial paper backup credit lines from the Dealscan database, we show tha...

Journal: :IACR Cryptology ePrint Archive 2015
Dominique Unruh

We present a new definition of computationally binding commitment schemes in the quantum setting, which we call “collapse-binding”. The definition applies to string commitments, composes in parallel, and works well with rewindingbased proofs. We give simple constructions of collapse-binding commitments in the random oracle model, giving evidence that they can be realized from hash functions lik...

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