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We study the optimal loan securitization policy of a commercial bank which is mainly engaged in lending activities. For …
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In this study we tried to compare two models in order to identify optimal neural networks models in predicting bankruptcy. Multi-layered perceptron (MLP) because of easy training and high efficiency and also integrated multi-layered perceptron (most used neural network in predicting bankruptcy)...
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company that maximizes the creditors' proceeds. The key to this proposal is the option left to the creditors to retain a … fraction of the shares of the company. Indeed, by retaining the minority stake, creditors reduce to a minimum the rents that …
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We study an optimal execution problem with uncertain market impact to derive a more realistic market model. We construct a discrete-time model as a value function for optimal execution. Market impact is formulated as the product of a deterministic part increasing with execution volume and a...
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