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Modeling and quasi-Monte Carlo simulation of risk in credit portfolios
Credit risk is the risk of losing contractually obligated cash flows promised by a counterparty such as a corporation, financial institution, or government due to default on its debt obligations. The need for accurate pricing and hedging of complex credit derivatives and for active management of large credit portfolios calls for an accurate assessment of the risk inherent in the underlying credit portfolios. An important challenge for modeling a credit portfolio is to capture the correlations within the credit portfolio. For very large and homogeneous portfolios, analytic and semi-analytic approaches can be used to derive limiting distributions. However, for portfolios of inhomogeneous default probabilities, default correlations, recovery values, or position sizes, Monte Carlo methods are necessary to capture their underlying dynamic evolutions. Since the feasibility of the Monte Carlo methods is limited by their relatively slow convergence rate, methods to improve the efficiency of simulations for credit portfolios are highly desired. In this dissertation, a comparison of the commonly employed single step models for credit portfolios, referred to as the copula-based default time approach, with our novel applications of multi-step models was made at first. Comparison of simulation results indicates that the dependency structure may be better incorporated by the multi-step models, since the default time models can introduce substantially skewed correlations within credit portfolios, a shortcoming which has become more evident in the recent subprime crisis. Next, to improve the efficiency of simulations, quasi- random sequences were introduced into both the single step and multi-step models by devising several new algorithms involving the Brownian bridge construction and principal component analysis. The simulation results from tests under various scenarios suggest that quasi-Monte Carlo methods can substantially improve simulation effectiveness not only for the problems of computing integrals but also for those ...
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Application of the Big Data Grey Relational Decision-Making Algorithm to the Evaluation of Resource Utilization in Higher Education
In: International journal of enterprise information systems: IJEIS ; an official publication of the Information Resources Management Association, Band 14, Heft 2, S. 43-55
ISSN: 1548-1123
In this article, the authors apply the big grey relational decision-making algorithm to improve performance evaluation effectiveness of the higher educational resources utilization. First, they discuss the performance evaluation indexes in higher education. Second, they propose the big data grey relational decision algorithm. Third, they establish the mathematical models of entropy weight and grey evaluation method. Finally, the authors carry out an evaluation simulation analysis on four cities as researching objects. The results show that the big data grey relational decision-making algorithm is an effective method for evaluating the higher educational resource utilization.
Book review: Liu Li (2020), An Introduction to Science of Science Communication
In: Science, technology & society: an international journal devoted to the developing world, Band 27, Heft 4, S. 676-679
ISSN: 0973-0796
Liu Li (2020), An Introduction to Science of Science Communication. China Science and Technology Press. ISBN: 9787504688590 (Hardback).
CO2 EOR and Associated Storage in Residual Oil Zones: Modelling the Evolution and Significance of Oil Saturation in Residual Oil Zones
In: 14th Greenhouse Gas Control Technologies Conference Melbourne 21-26 October 2018 (GHGT-14)
SSRN
Working paper
Multiplex dependence analysis of China's interprovincial virtual water based on an ecological network
In: Environmental science and pollution research: ESPR, Band 31, Heft 22, S. 32016-32032
ISSN: 1614-7499
A novel approach for apple leaf disease image segmentation in complex scenes based on two-stage DeepLabv3+ with adaptive loss
In: Computers and Electronics in Agriculture, Band 204, S. 107539
Identifying the Decarbonization Paths for New Energy Passenger Cars in China
In: SEGAN-D-23-00882
SSRN
Enantioselective bioaccumulation and toxicity of the novel chiral antifungal agrochemical penthiopyrad in zebrafish (Danio rerio)
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 228, S. 113010
ISSN: 1090-2414
Soliton Molecules, Multi-Breathers and Hybrid Solutions in (2+1)-Dimensionalkorteweg-De Vries-Sawada-Kotera-Ramani Equation
In: CHAOS-D-22-00636
SSRN
Fabrication and analysis of TIG welding-brazing butt joints of in-situ TiB2/7050 composite and TA2
In: Defence Technology, Band 17, Heft 3, S. 1062-1070
ISSN: 2214-9147
Combined toxic effects of polyethylene microplastics and lambda-cyhalothrin on gut of zebrafish (Danio rerio)
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 276, S. 116296
ISSN: 1090-2414