Information Resources Management Association

Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Search IRMA Research

navleft

navright

Research IRM Open Access IRMA Journals IRM Books Proceedings Membership

The IRMA Community

Calls for Papers

Online Symposium

Research IRM

Click a keyword to search titles using our InfoSci-OnDemand powered search:

Black-Necked Swans and Active Risk Management

Black-Necked Swans and Active Risk Management

View Sample PDF

Author(s): Tze Leung Lai (Stanford University, USA)and Bo Shen (Stanford University, USA)
Copyright: 2011
Pages: 11
Source title: Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection
Source Author(s)/Editor(s): Ali Serhan Koyuncugil (Capital Markets Board of Turkey, Turkey, and Baskent University, Turkey)and Nermin Ozgulbas (Baskent University, Turkey)
DOI: 10.4018/978-1-61692-865-0.ch004

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

Purchase

View Black-Necked Swans and Active Risk Management on the publisher's website for pricing and purchasing information.

Abstract

This chapter gives a review of recent developments in sequential surveillance and modeling of default probabilities of corporate and retail loans, and relates them to the development of early warning or quick detection systems for managing the risk associated with the so-called “black swans” or their close relatives, the black-necked swans.

Related Content

Optimizing eCommerce Data: Effective Approaches for Data Collection, Cleansing, and Preprocessing

Chirag Sharma, Amanpreet Kaur, Priyanka Datta, Yonis Gulzar. © 2025. 30 pages.

Artificial Intelligence and Machine Learning in eCommerce

M. Johnpaul, Raam Sai Bharadwaj Miryala, Marica Mazurek, G. Jayaprakashnarayana, Ramesh Kumar Miryala. © 2025. 28 pages.

AI and Machine Learning Applications for Preserving Privacy and Data Leakage of E-Commerce Data

Jatin Arora, Gaganpreet Kaur, Monika Sethi, Saravjeet Singh. © 2025. 20 pages.

Advancing E-Commerce Security: Strategic Innovations and Future Directions in AI and ML

L. A. Anto Gracious, L. Sudha, B. Chitra, Gaganpreet Kaur, V. Sathya, P. Kabitha, R. Siva Subramanian. © 2025. 28 pages.

Convolutions of Artificial Intelligence-Enabled Business Strategies and E-Commerce and Their Impacts on the Future

Bhavik Singla, Anuj Kumar Jain, Gaganpreet Kaur, Nitin Jain, Vishal Jain. © 2025. 28 pages.

Strategic Integration of Machine Learning for Fraud Detection in E-Commerce Transactions

P. Vijayalakshmi, K. Subashini, B. Selvalakshmi, G. Sudhakar, Anand Anbalagan, N. Bharathiraja, Gaganpreet Kaur. © 2025. 22 pages.

Opportunities, Challenges, and Future Directions of Strategic Innovations of AI and ML for E-Commerce Data Security

Djamel Saba, Abdelkader Hadidi. © 2025. 28 pages.

IRMA Offers Over 2,500 Full Text Open Access Research Papers for Free Download Click to Start Searching Free IRM Research!

IRMA Sponsors

Sponsor IGI Global

Sponsor eContentPro

Encyclopedia of Information Science and Technology, Fourth Edition

Body Bottom