DocumentCode :
3045048
Title :
The Decision of Price Risk of Portfolio in Inventory Financing
Author :
Juan He ; Jian Wang ; Xianglin Jiang
Author_Institution :
Sch. of Transp. & Logistics, SouthWest JiaoTong Univ., Chengdu, China
fYear :
2013
fDate :
13-16 Oct. 2013
Firstpage :
2985
Lastpage :
2990
Abstract :
In order to mitigate concentration risk due to sharp fluctuations of price of single inventory in supply chain finance, this paper presents an application of Copula-GARCH model in the dynamic estimation of inventory portfolios´ VaR with rolling time window based on the principle of risk diversification of Markowitz´s. The back testing are performed which consists of Kupiec testing and the efficiency loss testing based on dynamic impawn rate considering fund cost from the perspective of long-term forecasting. The results show that the Clayton-copula could reasonably estimate the risk of portfolio and diversify risk markedly. In summary, Copula-GARCH models provide a new framework for managing the risk of portfolio in inventory financing practice for banks constrained by risk limitation.
Keywords :
autoregressive moving average processes; banking; economic forecasting; financial management; inventory management; investment; pricing; risk management; statistical testing; supply chain management; Clayton-copula; Copula-GARCH model; Kupiec testing; Markowitz´s risk diversification; back testing; banks; concentration risk mitigation; dynamic impawn rate; dynamic inventory portfolio VaR estimation; efficiency loss testing; generalized autoregressive conditional heteroskedasticity model; inventory financing practice; long-term forecasting; portfolio risk estimation; price fluctuations; price risk decision; risk limitation; rolling time window; supply chain finance; Copper; Correlation; Estimation; Finance; Portfolios; Predictive models; Reactive power; Copula-GARCH; Inventory Financing; Portfolio; Supply chain finance; VaR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/SMC.2013.509
Filename :
6722262
Link To Document :
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