A Study on the Binary Logistic Regression Prediction Model of Bond Funds Potential Investors – Taking the Certificate Depositors of Bank A as the Example / 應用二元邏輯斯迴歸於債券型基金之潛在投資客戶預測研究─以A銀行定存戶為例

碩士 / 輔仁大學 / 統計資訊學系應用統計碩士班 / 106 / Affected by factors such as an aging society, micro-profits, and annuity reform, the risk aversion of Taiwanese investors is rising. Mutual fund has become a ubiquitous financial tool and is widely used by domestic investors. However, Taiwan’s financial institutions are now in a highly competitive situation. This is because there are a great number of financial institutions, and there’s a high degree of homogeneity among them. The aim of this study is to assist the banking industry in holding onto its existing customers and to promote the mutual fund market further.
This study builds a model to determine whether to invest in bond funds or not. It applies Binary Logistic Regression and Ensemble Learning methods to 1,750 certificate depositors of Bank A. After that, the values it predicts and generates will be investigated in groups. The results indicate that the model has nine important influencing factors. Further, Bank A can promote bond funds based on the different characteristics of investors.

Identiferoai:union.ndltd.org:TW/106FJU00506009
Date January 2018
CreatorsYOU, YI-LING, 游奕怜
ContributorsTe-Hsin Liang, 梁德馨
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format112

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