版權(quán)說(shuō)明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請(qǐng)進(jìn)行舉報(bào)或認(rèn)領(lǐng)
文檔簡(jiǎn)介
1、1畢 業(yè) 設(shè) 計(jì)(論文) 計(jì)(論文)外 文 文 獻(xiàn) 翻 譯題 目: 金融銀行信用風(fēng)險(xiǎn)管理與知識(shí)管理 金融銀行信用風(fēng)險(xiǎn)管理與知識(shí)管理 教 學(xué) 院: 院: 經(jīng)濟(jì)與管理學(xué)院 經(jīng)濟(jì)與管理學(xué)院 專業(yè)名稱: 專業(yè)名稱: 工商管理 工商管理 3fields. Aybübe Aurum(2004)[3] analyzes knowledge management in software engineering
2、and D.J.Harvey&R.Holdsworth(2005)[4]study knowledge management in the aerospace industry. Li Yang(2007)[5] studies knowledge management in information-based education and Jayasundara&Chaminda Chiran(2008)[6] review the p
3、revailing literature on knowledge management in banking industries. Liang ping and Wu Kebao(2010)[7]study the incentive mechanism of knowledge management inBanking.There are also many papers about risks analysis and risk
4、s management. Before the 1980s, the dominant mathematical theory of risks analysis was to describe a pair of random vectors.But,the simplification assumptions and methods used by classical competing risks analysis caused
5、 controversy and criticism.Starting around the 1980s, an alternative formulation of risk analysis was developed,with the hope to better resolve the issues of failure dependency and distribution identifiability. The new f
6、ormulation is univariate risk analysis.According to Crowder(2001)[8], David&Moeschberger(1978)[9]and Hougaard(2000)[10],univariate survival risk analysis has been dominantly, which is based on the i.i.d assumptions(in
7、dependent and identically distributed) or, at least, based on the independent failure assumption.Distribution-free regression modeling allows one to investigate the influences of multiple covariates on the failure, and i
8、t relaxes the assumption of identical failure distribution and to some extent, it also relaxes the single failure risk restriction. However, the independent failures as well as single failure events are still assumed in
9、the univariate survival analysis. Of course,these deficiencies do not invalidate univariate analysis, and indeed, in many applications, those assumptions are realistically valid.Based on the above mentioned studies, Ma a
10、nd Krings(2008a, 2008b)[11]discuss the relationship and difference of univariate and multivariate analysis in calculating risks.As for the papers on managing the risks in banks, Lawrence J.White(2008)[12]studies the risk
11、s of financial innovations and takes out some countermeasures to regulate financial innovations. Shao Baiquan(2010)[13]studies the ways to manage the risks in banks. From the above papers, we can see that few scholars ha
溫馨提示
- 1. 本站所有資源如無(wú)特殊說(shuō)明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請(qǐng)下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請(qǐng)聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁(yè)內(nèi)容里面會(huì)有圖紙預(yù)覽,若沒(méi)有圖紙預(yù)覽就沒(méi)有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 眾賞文庫(kù)僅提供信息存儲(chǔ)空間,僅對(duì)用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對(duì)用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對(duì)任何下載內(nèi)容負(fù)責(zé)。
- 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請(qǐng)與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時(shí)也不承擔(dān)用戶因使用這些下載資源對(duì)自己和他人造成任何形式的傷害或損失。
最新文檔
- 外文文獻(xiàn)翻譯--金融銀行信用風(fēng)險(xiǎn)管理與知識(shí)管理
- 外文文獻(xiàn)翻譯--金融銀行信用風(fēng)險(xiǎn)管理與知識(shí)管理
- 外文文獻(xiàn)--金融銀行信用風(fēng)險(xiǎn)管理與知識(shí)管理
- 外文文獻(xiàn)翻譯--金融銀行信用風(fēng)險(xiǎn)管理與知識(shí)管理.doc
- 外文文獻(xiàn)翻譯--金融銀行信用風(fēng)險(xiǎn)管理與知識(shí)管理.doc
- 銀行信用風(fēng)險(xiǎn)管理.pdf
- 銀行信用風(fēng)險(xiǎn)管理硬信息,軟信息與控制【外文翻譯】
- 探析金融經(jīng)濟(jì)周期與銀行信用風(fēng)險(xiǎn)管理
- 外文翻譯---銀行信用風(fēng)險(xiǎn)管理硬信息,軟信息與控制
- 信用風(fēng)險(xiǎn)評(píng)級(jí)與商業(yè)銀行信用風(fēng)險(xiǎn)管理.pdf
- A銀行信用風(fēng)險(xiǎn)管理研究.pdf
- 金融經(jīng)濟(jì)周期與商業(yè)銀行信用風(fēng)險(xiǎn)管理
- 興業(yè)銀行信用風(fēng)險(xiǎn)評(píng)估與信用風(fēng)險(xiǎn)管理的研究.pdf
- 江南銀行信用風(fēng)險(xiǎn)管理研究.pdf
- 銀行信用風(fēng)險(xiǎn)度量管理研究.pdf
- ZBSH銀行信用風(fēng)險(xiǎn)管理研究.pdf
- 供應(yīng)鏈金融中銀行信用風(fēng)險(xiǎn)管理研究.pdf
- 商業(yè)銀行信用風(fēng)險(xiǎn)度量與管理.pdf
- 商業(yè)銀行信用風(fēng)險(xiǎn)控制與管理.pdf
- 金融學(xué)外文翻譯--西方商業(yè)銀行信用風(fēng)險(xiǎn)的度量
評(píng)論
0/150
提交評(píng)論