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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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assets only, the constrained one, and the presence of a risk-free asset. The use of a generalized form for the budget … constraint allows us to use the structure to study the behavior of a complete borrower - subject or not to liquidity constraints … - and infer the price of pure risk. Some properties of the several solutions are highlighted. The rationale for a linear …
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Several exchanges in futures and options deploy pro-rata matching. The executed size of limit orders in pro-rata markets is never certain, unlike in price-time priority matching systems. This article derives the optimal size of limit orders in pro-rata markets given the trader's desired...
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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...
Persistent link: https://www.econbiz.de/10013036036
We study the optimal loan securitization policy of a commercial bank which is mainly engaged in lending activities. For this we propose a stylized dynamic model which contains the main features affecting the securitization decision. In line with reality we assume that there are non-negligible...
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all feasible portfolios using tracking error as a distance measure. Doing so helps align alpha and risk factors in …
Persistent link: https://www.econbiz.de/10012973146