Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines
|
Автор | | Lean Yu, Shouyang Wang, Kin Keung Lai, Ligang Zhou |
|
Содержание:
Человек-Амфибия. Продавец воздуха. Светопреставление, Ледяной ад. Капитан Сорвиголова, Матиас Шандор, Фанфан-Тюльпан, Пограничный легион. Рассказы, Алые паруса. Блистающий мир. Золотая цепь, Робинзон Крузо, Робин Гуд. Новеллы, Долина молчаливых призраков. Скованные льдом сердца. Золотая петля, Пионеры, или У истоков Сосквеганны. Вайандоте, или Хижина на холме, Наследники Виннету, Перст судьбы. Сигнал бедствия. Вождь герильясов. Отважная охотница, или Дочь скваттера, Остров сокровищ. Принц Отто, Крестоносцы. В 2-х томах, Принцесса Баальбека, Твердая рука. Карденио
Описание:
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for...Похожие книги
| Золото Автор: В. М. Малышев, Д. В. Румянцев Год: 1979
|