Option replication is studied in a discrete-time framework with proportional transaction costs. The model represents an extension of the Cox-RossRubinstein binomial option-pricing model to cover the case of proportional transaction costs for one risky asset with different interest rates on bank credit and deposit. Contingent claims are supposed to be 2-dimensional random variables. Explicit for...

Ptrim is a purely decentralised application for performing peer-to-peer transactions. Instead of relying on a typical trust/reputation management approach, Ptrim allows its users to manage and reduce the risk inherent in their transactions by including a transaction risk management layer on top of the main transaction processing system. This layer is based on the financial principles behind cre...

The aim of this paper is to analyse the role of trade credit in the financing of French small and medium-sized enterprises (SMEs) using specific data collected in a recent survey on small firms. We provide direct evidence that inter-firm credit offered by SMEs is sensitive to the strategic importance of firm size and position. Using existing theories, we also test a supply function and a model ...

Counterparty credit risk has become one of the highest-profile risks facing participants in the financial markets. Despite this, relatively little is known about how counterparty credit risk is actually priced. We examine this issue using an extensive proprietary data set of contemporaneous CDS transaction prices and quotes by 14 different CDS dealers selling credit protection on the same under...

The SB{PRAM is a shared memory parallel machine under construction in Saarbr ucken. With the help of simulations we have evaluated the performance of transaction systems on this machine. We use the well known DEBIT/CREDIT benchmark as workload. According to the simulations the machine reaches 6000 transactions per second with 256 data disks, 32 log disks and 128 processors, although each proces...

The aim of the paper is to discuss credit scoring modeling of a customer revolving credit depending on customer application data and transaction behavior data. Logistic regression, survival analysis, and neural network credit scoring models were developed in order to assess relative importance of different variables in predicting the default of a customer. Three neural network algorithms were t...

We develop a theory of money and credit as competing payment instruments, then put it to work in applications. Buyers can use cash or credit, with the former (latter) subject to the inflation tax (transaction costs). Frictions making the choice of payment method interesting also imply equilibrium price dispersion, and together these deliver closed-form solutions for money demand. The model can ...

Due to a rapid advancement in the electronic commerce technology, the use of credit cards has dramatically increased. As credit card becomes the most popular mode of payment for both online as well as regular purchase, cases of fraud associated with it are also rising. In this paper, we model the sequence of operations in credit card transaction processing using a Hidden Markov Model (HMM) and ...