These lecture notes are divided intodoi:10.2139/ssrn.2776813Roncalli, Thierrysocial science electronic publishingRoncalli T. Lecture Notes on Risk Management & Financial Regulation. Available at SSRN: http://ssrn.com/abstract=2776813; 2016.
Advanced Derivatives Pricing and Risk Management 先进的衍生产品定价和风险管理.pdf,Preface This book originated in part from lecture notes we developed while teaching courses in financial mathematics in the Master of Mathematical Finance Program at the Un
MathematicalModelingandStatisticalMethodsforRiskManagementLectureNotesc HenrikHultandFilipLindskogContents1Somebackgroundtofinancialriskmanagement11.1Apreliminaryexample...11.2Whyriskmanagement?...21.3Regulatorsandsupervisors...31.4Whythegovernmentcaresaboutthebuffercapital...41.5Typesofrisk...41.6Financialderivati...
Lecture Notes of the Institute for Computer Sciences Social Informatics & Telecommunications EngineeringC. Tekin and M. Liu, "Performance and convergence of ... C Tekin,M Liu - 《Lecture Notes of the Institute for Computer Sciences Social Informatics & Telecommunications Engineering》 被引量: 30发表...
Written by one of the leading experts in the field, these lecture notes serve as a valuable introduction to some of the most frequently used methods in non-life insurance. They will be of particular interest to graduate students, researchers and practitioners in insurance, finance and risk manag...
Trzaskowski, J (2006) Legal risk management in a global, Electronic marketplace. A proactive approach. Scand. Stud. Law 49: pp. 319-337 About this Chapter Title Legal Risk Management: A Best Practice for e-Learning Legal Issues Book Title E-Learning, E-Education, and Online Training ...
View PDFView articleView in ScopusGoogle Scholar Wang et al., 2012 Wang H., Liu F., Liu H. A method of the cloud computing security management risk assessment Zeng D. (Ed.), Advances in computer science and engineering, Springer Berlin Heidelberg, Berlin, Heidelberg (2012), pp. 609-618...
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management[J]. Geoscience Frontiers, 2021, 12(6): 101249. DOI: 10.1016/j.gsf.2021.101249 Citation: Zizheng Guo, Yu Shi, Faming Huang, Xuanmei Fan, Jinsong ...
1.3. Serious games/simulations for disaster risk management The dramatic nature of disasters has always captured humans’ imagination; since time immemorial, catastrophes have been depicted in paintings, music, novels and recently also in films and games. “Disaster popular culture” (DPC) captures th...
Consequently, we propose a novel meta-learning inspired framework to proactively rank a set of candidate models for Dynamic Risk Management (DRM) based on desired uncertainty conditions. We denominate this framework ProMetaUS (Proactive Meta-learning and Uncertainty-based Selection for dynamic risk ...