物流企業(yè)參與的預(yù)付賬款融資業(yè)務(wù)期望收益與風(fēng)險評價
發(fā)布時間:2018-01-25 10:29
本文關(guān)鍵詞: 物流金融 成員企業(yè) 核心企業(yè) 期望收益 熵權(quán)-云模型 出處:《河北工程大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
【摘要】:在傳統(tǒng)的物流倉儲運(yùn)輸服務(wù)不能滿足物流企業(yè)發(fā)展需求的背景下,越來越多的物流企業(yè)將發(fā)展視角轉(zhuǎn)向了物流金融業(yè)務(wù)。物流企業(yè)參與預(yù)付賬款融資業(yè)務(wù)既是物流企業(yè)的一種增值方式,也是解決供應(yīng)鏈資金流協(xié)調(diào)問題的一種有效途徑。基于物流企業(yè)為供應(yīng)鏈成員企業(yè)和核心企業(yè)的視角,對不同情境下的預(yù)付賬款融資業(yè)務(wù)流程及期望收益進(jìn)行分析,構(gòu)建各參與方期望收益函數(shù),并對兩種情境下的各參與方期望收益差異進(jìn)行分析。通過對預(yù)付賬款融資的業(yè)務(wù)流程與期望收益影響因素的分析,分別構(gòu)建由3個節(jié)點(diǎn)風(fēng)險因子和3個鏈條風(fēng)險因子為二級指標(biāo)的預(yù)付賬款融資業(yè)務(wù)風(fēng)險評價指標(biāo)體系,采用熵權(quán)-云模型綜合評價法計(jì)算各級指標(biāo)云,給出了不同情境下的預(yù)付賬款融資業(yè)務(wù)風(fēng)險的評價思路,利用風(fēng)險評價等級云圖與風(fēng)險等級標(biāo)尺的對比進(jìn)行風(fēng)險評價。算例分析表明,物流企業(yè)為核心企業(yè)參與的預(yù)付賬款融資在降低融資成本、提高參與方期望收益方面具有優(yōu)越性,運(yùn)用熵權(quán)-云模型綜合評價法評價案例企業(yè)預(yù)付賬款融資業(yè)務(wù)的風(fēng)險,與風(fēng)險評價等級云標(biāo)尺進(jìn)行對比驗(yàn)證了預(yù)付賬款融資項(xiàng)目實(shí)施的可行性和風(fēng)險評價模型的有效性,并根據(jù)關(guān)鍵風(fēng)險指標(biāo)給出了風(fēng)險應(yīng)對策略。
[Abstract]:In the traditional logistics warehousing and transportation service can not meet the development needs of the logistics enterprises under the background of more and more logistics enterprises will develop perspective to the logistics financial services. Logistics enterprises to participate in a value-added way prepayment financing business is a logistics enterprise, is an effective way to solve the supply chain coordination problems. Based on the cash flow of logistics the enterprise for the member enterprises in the supply chain and the core enterprise perspective, the different situations of prepayment financing business process and expected revenue analysis, construction of the parties involved in the expected revenue function of all parties involved in the two situations the expected income differences are analyzed. Through the analysis of factors that impact on the business process and the expected return prepayment financing, were constructed by the 3 node risk factors and 3 chain risk factors for prepayment financing business risk assessment level two index finger Standard system, using entropy weight comprehensive evaluation indexes at all levels - cloud computing cloud model method, the evaluation idea are given different situations of prepayment financing business risk, risk assessment using comparative risk assessment and risk rating scale cloud level. Examples show that the logistics enterprise as the core enterprise in prepayment financing to reduce financing costs, improve the superiority of participants expected return, the use of risk entropy comprehensive evaluation method to evaluate the enterprise cloud model case of prepayment financing business, and risk assessment of the level of cloud scale were compared to verify the feasibility and effectiveness of the risk assessment of prepayment financing project implementation model, and according to the key risk indicators are risk coping strategies.
【學(xué)位授予單位】:河北工程大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F259.23;F253.7
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 王玲俊;王英;;基于云模型的裝備制造業(yè)產(chǎn)業(yè)鏈風(fēng)險評價[J];技術(shù)經(jīng)濟(jì);2016年02期
2 衛(wèi)彥琦;;我國銀行物流金融的信貸風(fēng)險管理[J];物流技術(shù);2015年17期
3 安鴻辰;黃逸s,
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