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Forecasting technological progress is of great interest to engineers, policy makers, and private investors.Several models have been proposed for predicting technological improvement, but how well do t...
Retail finance organizations use data on past behaviour to make predictions for customer value management strategies. Random-effects models, where each individual has a behavioural pattern drawn from ...
Recent studies in marketing have consistently shown that all customers are not equally profitable. In the credit card business, all customers are not equally risky. When a customer misses one payment ...
We examine whether bank credit-spread curves, engendered by subordinated debt, would help predict bank risk. We extract credit-spread curves for each bank each quarter and analyze the predictive prope...
Predicting panic is of critical importance in many areas of human and animal behavior, notably in the context of economics. The recent financial crisis is a case in point. Panic may be due to a specif...
Labor productivity in Turkey, Spain, Belgium, Austria, Switzerland, and New Zealand has been analyzed and modeled. These counties extend the previously analyzed set of the US, UK, Japan, France, Ital...
Let (Bt)0tT be either a Bernoulli random walk or a Brownian motion with drift, and let Mt := max{Bs : 0  s  t}, 0  t  T. This paper solves the general optimal prediction problem sup 0T E[f(MT...

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