Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Investor Overconfidence, Over-extrap...
~
Gao, Jie.
Linked to FindBook
Google Book
Amazon
博客來
Investor Overconfidence, Over-extrapolation Bias, Mutual Fund Flow and Performance.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Investor Overconfidence, Over-extrapolation Bias, Mutual Fund Flow and Performance./
Author:
Gao, Jie.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:
72 p.
Notes:
Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Contained By:
Dissertations Abstracts International81-02A.
Subject:
Finance. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13886591
ISBN:
9781085648912
Investor Overconfidence, Over-extrapolation Bias, Mutual Fund Flow and Performance.
Gao, Jie.
Investor Overconfidence, Over-extrapolation Bias, Mutual Fund Flow and Performance.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 72 p.
Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Thesis (Ph.D.)--University of California, Irvine, 2019.
This item must not be sold to any third party vendors.
I examine how mutual fund investor overconfidence and over-extrapolation bias affect mutual fund flow and future performance. By generalizing the model of Berk and Green (2004), I show that when investors over-extrapolate fund past return and/or are overconfident, fund flows no longer eliminate fund outperformance efficiently as predicted in their theory. Instead, fund future performance can be positively predicted by unit value-added, a variable that represents fund past performance, and negatively predicted by unit fee-added, a variable that represents fund flow activities. Using the U.S. actively managed mutual funds data, I find that the skill-competition variable constructed based on my model predicts fund future risk-adjusted performance. In addition, I find that investor overconfidence dominates over-extrapolation bias when investors make an investment decision on actively managed mutual funds.
ISBN: 9781085648912Subjects--Topical Terms:
542899
Finance.
Subjects--Index Terms:
Behavioral finance
Investor Overconfidence, Over-extrapolation Bias, Mutual Fund Flow and Performance.
LDR
:02023nmm a2200337 4500
001
2265627
005
20200528062530.5
008
220629s2019 ||||||||||||||||| ||eng d
020
$a
9781085648912
035
$a
(MiAaPQ)AAI13886591
035
$a
AAI13886591
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Gao, Jie.
$3
1264840
245
1 0
$a
Investor Overconfidence, Over-extrapolation Bias, Mutual Fund Flow and Performance.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
72 p.
500
$a
Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
500
$a
Advisor: Hirshleifer, David.
502
$a
Thesis (Ph.D.)--University of California, Irvine, 2019.
506
$a
This item must not be sold to any third party vendors.
520
$a
I examine how mutual fund investor overconfidence and over-extrapolation bias affect mutual fund flow and future performance. By generalizing the model of Berk and Green (2004), I show that when investors over-extrapolate fund past return and/or are overconfident, fund flows no longer eliminate fund outperformance efficiently as predicted in their theory. Instead, fund future performance can be positively predicted by unit value-added, a variable that represents fund past performance, and negatively predicted by unit fee-added, a variable that represents fund flow activities. Using the U.S. actively managed mutual funds data, I find that the skill-competition variable constructed based on my model predicts fund future risk-adjusted performance. In addition, I find that investor overconfidence dominates over-extrapolation bias when investors make an investment decision on actively managed mutual funds.
590
$a
School code: 0030.
650
4
$a
Finance.
$3
542899
653
$a
Behavioral finance
653
$a
Mutual fund
653
$a
Overconfidence
653
$a
Over-extrapolation bias
690
$a
0508
710
2
$a
University of California, Irvine.
$b
Business Administration - M.B.A..
$3
3542799
773
0
$t
Dissertations Abstracts International
$g
81-02A.
790
$a
0030
791
$a
Ph.D.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13886591
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9417861
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login