Regulators require financial institutions to estimate counterparty default risks from liquid CDS quotes for the valuation and risk management of OTC derivatives. However, the vast majority of counterparties do not have liquid CDS quotes and need proxy CDS rates. Existing methods cannot account for counterparty-specific default risks; we propose to construct proxy CDS rates by associating to ill...

This paper examines the relation between cash-flow availability and investment spending in the Netherlands. In particular, we are interested whether managerial discretion and/or asymmetric information drive the positive relation between cash-flow and investment spending. This relation is positive for both firms with low and high investment opportunities. It is however significantly larger for f...

This paper evaluates the weak-form efficiency of the crude oil markets using the artificial neural network (ANN) model. Based on the daily historical data of the West Texas Intermediate (WTI) crude oil spot price over the period (02 January 198631 December 2013), the model was trained using backpropagation algorithm. The output of the neural network represents the predicted prices which are con...

Octaprenyl pyrophosphate synthase (OPPs) catalyzes the chain elongation of farnesyl pyrophosphate (FPP) via consecutive condensation reactions with five molecules of isopentenyl pyrophosphate (IPP) to generate all-trans C40-octaprenyl pyrophosphate. The polymer forms the side chain of ubiquinone that is involved in electron transport system to produce ATP. Our previous study has demonstrated th...

In this paper, we present a review of various computational experiments concerning neural network (NN) models developed for regional employment forecasting. NNs are nowadays widely used in several fields because of their flexible specification structure. A series of NN experiments is presented in the paper, using two data sets on German NUTS-3 districts. Individual forecasts are computed by our...

this study employs a gmdh neural network model, which has high capability in recognition of complicated non-linear trends especially with small samples, for modeling and predicting iranian gdp growth. first a fundamental model containing 7 independent variables together with dependent variable is designed and then by using deductive process and omission of one variable at a time, a total of 18 ...

Carbon steels can be heat treated to produce different microstructural variations and mechanical properties. At high temperatures the material plasticity strength influenced by diffusional effects like Portevin-Le Chatelier effect, leading a commonly observed increased at elevated temperatures. The are chemical composition, but also treatment history that affects local composition especially co...