Artificial Intelligence and Credit Risk
Language: English
Published by Springer, Berlin|Springer International Publishing|Aifirm|Palgrave Macmillan, 2022
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 43.13
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating models. During th.
Seller Inventory # 605116603
- Title
- Artificial Intelligence and Credit Risk
- Author
- Locatelli, Rossella|Pepe, Giovanni|Salis, Fabio
- Publisher
- Springer, Berlin|Springer International Publishing|Aifirm|Palgrave Macmillan
- Publication year
- 2022
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3031102355
- ISBN 13
- 9783031102356
- Seller catalogs
- Sozialwissenschaften/Recht/Wirtschaft
This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating models. During the last decade the increase in computational capacity, the consolidation of new methodologies to elaborate data and the availability of new information related to individuals and organizations, aided by the widespread usage of internet, set the stage for the development and application of artificial intelligence techniques in enterprises in general and financial institutions in particular. In the banking world, its application is even more relevant, thanks to the use of larger and larger data sets for credit risk modelling. The evaluation of credit risk has largely been based on client data modelling; such techniques (linear regression, logistic regression, decision trees, etc.) and data sets (financial, behavioural, sociologic, geographic, sectoral, etc.) are referred to as “traditional” and have been the de facto standards in the banking industry. The incoming challenge for credit risk managers is now to find ways to leverage the new AI toolbox on new (unconventional) data to enhance the models’ predictive power, without neglecting problems due to results’ interpretability while recognizing ethical dilemmas. Contributors are university researchers, risk managers operating in banks and other financial intermediaries and consultants. The topic is a major one for the financial industry, and this is one of the first works offering relevant case studies alongside practical problems and solutions.
"Synopsis" may belong to another edition of this title.
About the Author
Rossella Locatelli is Full Professor of Banking at the University of Insubria, Italy. She graduated in Economics and Banking Science at the Università Cattolica del Sacro Cuore, Italy, where she was a researcher until 1998. She is also the co-manager of CreaRes, the Business Ethics and Social Responsibility Research Centre, and manager of Criel, the Research Center on Internationalization of Local Economies. She serves and has served as board member of some listed companies, banks, insurance companies and other financial companies.
Giovanni Pepe is KPMG Partner since May 2015 where he works in the Financial Risk Management line of services with a focus on the quantitative aspects of credit risk. As Director of the Bank of Italy, first, and as Representative of ECB, later, he led many on-site inspections at several of the largest Italian banks on a variety of topics, including the validation of internal credit, market and counterparty creditrisk models. He graduated from Federico II University of Naples and specialized in finance at the London School of Economics.
Fabio Salis is Chief Risk Officer of Creval since 2018. Formerly, he was Head of Risk Management at Banco Popolare since 2012, where he led important projects such as validation of credit and operational risk models and EBA stress test. He graduated from University of Pavia (Economics Department), specializing in quantitative methods.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 16 to 45 business days | 16 to 45 business days |
|---|---|---|
| First item | £ 42.09 | £ 42.09 |
Payment methods
- Bank Wire Transfer
- Check
- Paypal
Store description
Online Handel nur mit Neubüchern
Seller's business information
Moluna GmbH
Engberdingdamm 27
Greven, Germany 48268
Terms of sale
About Us
Legal website operator identification:
Moluna GmbH
Represented by the general manager Helge Blischke
Engberdingdamm 27
48268 Greven
Germany
Telephone: 02571/5698933
Telefax: 02571/5698930
E-Mail: abe@moluna.de
VAT No.: DE296281834
listed in the commercial register of the local court Steinfurt
Commercial register number - Part B of the commercial register - 10553
We are a member of the initiative „FairCommerce“ since 24.07.2015.
For more information, see: www.haendlerbund.de/faircommerce.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to moluna, Greven, Germany, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.