跳到主要內容

臺灣博碩士論文加值系統

(44.221.70.232) 您好!臺灣時間:2024/05/21 06:11
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:邱雅真
研究生(外文):Chiu, Ya-Chen
論文名稱:共同基金銷售之客戶貢獻度探討
論文名稱(外文):A Discussion on Customer Contribution of Mutual Fund Sales
指導教授:李孟峰李孟峰引用關係
指導教授(外文):Lee, Mong-Hong
口試委員:李孟峰李美杏吳柏林
口試委員(外文):Lee, Mong-HongLee,Mei-HsingWu,Berlin
口試日期:2013-01-18
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:統計學系
學門:數學及統計學門
學類:統計學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:46
中文關鍵詞:分量迴歸模型客戶貢獻度共同基金
外文關鍵詞:Quantile Regression ModelCustomer ContributionMutual Fund
相關次數:
  • 被引用被引用:2
  • 點閱點閱:342
  • 評分評分:
  • 下載下載:15
  • 收藏至我的研究室書目清單書目收藏:0
在經歷一連串的金融風暴與投資市場開放下,相對的共同基金的發展也愈來愈成熟,投資人不僅可透過各種管道瞭解共同基金的資訊,亦可自由選擇基金手續費最優惠的銀行或基金公司來進行投資。

根據中華民國信託商業同業公會所公佈的資料中顯示,共同基金投資市場每年都有擴大的趨勢,在銀行財富管理中,共同基金已成為必要且重要的金融商品之一。因此,在如此大的競爭壓力下,銀行需要更瞭解客戶的需求,可透過分析結論,瞭解客戶特性,定期檢討改善行銷方向,達到銀行銷售收入增加之目標。

本研究利用分量迴歸方式來探討影響客戶貢獻度之變數,分量迴歸的優點不僅是不需假設母體分配,亦不受離群值的干擾,在實際應用方面,對於兩尾端之估計,分量迴歸模型較最小平方法更為準確。
同時,透過條件分量數方式,對其應變數「基金手續費」進行排列,不僅可深入瞭解有關「高、中、低等客戶貢獻度」其變數的變化,亦可藉由變數顯著性來制定未來行銷方向。
After experienced quite a long period of financial crisis and follow by investment market opening, the development of mutual fund is getting more and more mature. Not only that investors could capture mutual fund related information via various channels, but also selecting banks or fund houses with the best subscription fee discount for investment. From the statistic data published by Trust Association of R.O.C, mutual fund keeps increasing in the investment market. Moreover, mutual fund has become parts of significant and important investment product in the wealth management, for banks. Therefore, bank has to understand customers’ needs in such competitive investment market. It’s believed the sales volume and revenue will growth from the analysis of customers’ needs, realizing their characteristics and regularly review business campaign.

This research is using Quantile Regression as method to investigate customers’ contribution for a bank based on variables. Population distribution is not required, which is one of advantage of Quantile Regression. Moreover, the method won’t be impacted interfered by outliers. Besides, from actual practice point of view, using Quantile Regression is much precious and accurate for two-tailed estimation, comparing to method of Ordinary Latest Square.

Meanwhile, it can be further investigated the changes of variables from high, medium to low contribution clients using conditional quantile methodology sorting by mutual fund subscription fee respective dependent variables. Finally, it’s believed that mutual fund sales campaign and future marketing can be designed accordingly based on these variables with significances.

目錄

第1章 緒論
1.1 研究背景與動機................................1
1.2 研究目的.....................................4
1.3 論文架構.....................................5
第2章 文獻探討
2.1 共同基金(Mutual Fund)之定義...................6
2.2 客戶貢獻度(Customer Contribution)之文獻探討....7
2.3 分量迴歸(Quantile Regression)之文獻探討.......10
第3章 研究方法
3.1 分量迴歸 (Quantile Regression)理論分析........13
3.2 普通最小平方法 (Ordinary Latest Square).......15
3.3 分量迴歸 (Quantile Regression)...............16
3.4 分量迴歸Buchinsky漸近分配.....................19
第4章 實證結果與分析
4.1 實證模型 ....................................23
4.2 變數說明 ....................................23
4.3 實證分析–分量迴歸結果.........................30
第5章 結論與未來研究方向
5.1 結論 ........................................40
5.2 研究限制與未來研究方向 ........................41
參考文獻.........................................43

圖目錄

圖1.1 研究流程 .....................................5
圖4.1 台股2011年7月初至2012年6月底收盤指數............28
圖4.2 條件分量數下各個變數p-value....................35
圖4.3 每筆平均基金手續費收入分量迴歸模型–95%信賴區間...39


表目錄

表1.1 金錢信託業務統計(資料日期截至2012年9月)............2
表1.2 金融機構家數統計(資料日期截至2012年9月)............3
表4.1 自變數中英文名稱對照與係數統計表...................29
表4.2 每筆平均基金手續費收入的「條件分量值」與「分量值」...37
表4.3 OLS 與 QR分析在各條件分量數下的係數值與標準差 ......38

英文部份
1. Amemiya, T. (1982), "Two Stage Least Absolute Deviation Estimators," Econometrica, 50, 689-711
2. Andrews, D.W.K. (1989), "Asymptotics for Semiparametric Econometric Models: II. Stochastic
Equicontinuity and Nonparametric Kernel Estimation," Cowles Foundation No. 909R.Discussion Paper
3. Anton, W. R. Q., G. Deltas and M. Khann (2004), “Incentives for Environmental Self-regulation and
Implications for Environmental Performance,” Journal of Environmental Economics and Management,
Vol. 48 , pp. 632-654.
4. Bernini,C., M. Freo and A. Gardini (2004), “Quantile Estimation of Frontier Production
Function,”Empirical Economics , Vol. 29, pp. 373-381.
5. CHUNG-MING KUAN (2011), Department of Finance & CRETA National Taiwan University, "Quantile
Regression" PPT
6. Dubinsky, Alan J. and Steven W. Hartley (1986), “A Path-Analysis Study of a Model of Salesperson
Performance”, Journal of the Academy of Marketing Science,14 (Spring): 36-46.
7. Fattouh, B., P. Scaramozzino and L. Harris (2005), “Capital Structure in South Korea: A quantile
regression approach,” Journal of Development Economics, Vol. 76, pp. 231-250.
8. Fersterer ,J. and W. E. Rudolf (2003), “Are Austrian Returns to Education Falling Over Time?” Labour
Economics , Vol. 10, pp. 73-89.44
9. Goel, R. K. and R. Ram (2004), “Quantile-Regression Estimates of Cigarette Demand Elasticities for
the United States,” Journal of Economics and Finance, Vol. 28, pp. 413-421.
10. Imbens/Wooldridge, Lecture Notes 14, Summer 2007, "What’s New in Econometrics?"
11. José A. F. Machado and J.M.C. Santos Silva (2011), "Quantile regression and heteroskedasticity".
12. Jo-Ting Wei, Shih-Yen Lin and Hsin-Hung Wu (2010), "A review of the application of RFM
model",African Journal of Business Management Vol. 4(19), pp. 4199-4206, December Special Review,
2010.
13. Kocherginsky, M., He, X. and Mu, Y. (2005) "Practical Confidence Intervals for Regression
Quantiles", Journal of Computational and Graphical Statistics, Vol. 14, no. 1, 41-55.
14. Koenker and Bassett (1978), "REGRESSION QUANTILES", Econornetrica, Vol. 46, No. 1(January, 1978)
15. Koenker, R. and G.W. Basse (1978), "Regression Quantiles", Econometrica, 46,pp.33-50.
16. Mello, M. and R. Perrelli (2003), “Growth Equations: A Quantile Regression Exploration,” The
Quarterly Review of Economics and Finance, Vol. 43, pp.643–667.
17. Phillips, P. C. B. (1991), "A Shortcut to LAD Estimator Asymptotics," Econometric Theory, 7,450-464.
18. Powell, J. (1983), "The Asymptotic Nonnality of Two-Stage Least Absolute Deviations Estimators,"
Econometrica, 51, 1569-1575.
19. Powell, J. (1984), "Least Absolute Deviation Estimation for the Censored Regression Model" ,Journal
of Econometrics, 25, 303-25.
20. Powell, J. (1986), "Censored Regression Quantiles," Journal of Econometrics. 32. 143-155.
21. Vilfredo Federico Damaso Pareto (1906), the 80/20 Rule via webside
http://www.cormackcarr.com/2011/05/28/time-freedom-the-8020-rule/

中文部份
1. 中華民國銀行公會網站 http://www.ba.org.tw/
2. 金融監督管理委員會銀行局http://www.banking.gov.tw/ch/
3. 金融監督管理委員會全球資訊網 http://www.fsc.gov.tw/ch/
4. 黃秀梅,「新分量迴歸顯著性檢定與分量迴歸於不動產的應用暨最適循環利率」,國立中正大學國際經濟所博士論文,2005
5. 林欣穎,「設限資料下分量迴歸模型分析之文獻回顧」,國立交通大學統計學研究所碩士論文,2010
6. 吳國傑,「設限分量迴歸估計」,國立清華大學統計學研究所碩士論文,2010
7. 徐培慈,「影響台灣女性職場表現因素之研究─分量迴歸之應用」,國立宜蘭大學應用經濟學系碩士論文,2010
8. 紀怡婷,「美國股債報酬相關性與總體經濟因素之分量迴歸分析」,國立臺北大學統計學系碩士論文,2010
9. 曾志翔,「以分量迴歸法探討全民健保實施對家戶消費型態之影響」,國立成功大學經濟學系碩士論文,2008
10.游適銘/張金鶚,「不同估價方法之權重分析與模式建立- 地價基準地之探討」,台灣土地研究/民國九十九年十一月/第十三卷/
第二期,2009
11.游適銘/張金鶚,「成本法估價偏誤之探討-分量迴歸應用」,住宅學報 第十九卷第二期/中華民國九十九年十二月/學術論著
第81頁─105頁,2010
12.賴昕祐,「共同基金流量及手續費與績效之關係」,國立成功大學會計學系碩博士班碩士論文,2001
13.許雅菁,「投資者購買共同基金選擇因素之研究」,國立交通大學管理科學系碩士論文,2001
14.黃滿美,「資料挖掘在銀行顧客貢獻度與交易行為模型之研究」,逢甲大學資訊工程所碩士論文,2004
15.高慧芳,「銀行對客戶貢獻度衡量指標建立及經營策略之研究」,義守大學財務金融學系碩士班碩士論文,2007
16.李建興,「申購潮與贖回潮影響因素的探討-分量迴歸分析法」,義守大學財務金融學系,2007
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top