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Herding behavior empirical evidence in the Vietnamese stock market
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Ho Chi Minh City, 2018
MINISTRY OF EDUCATION & TRAINING
HO CHI MINH CITY OPEN UNIVERSITY
-----------------------------------------------
PHAM THI THANH AN
HERDING BEHAVIOR:
EMPIRICAL EVIDENCE IN THE
VIETNAMESE STOCK MARKET
MASTER THESIS
FINANCE AND BANKING
Ho Chi Minh City, 2018
MINISTRY OF EDUCATION & TRAINING
HO CHI MINH CITY OPEN UNIVERSITY
-----------------------------------------------
PHAM THI THANH AN
HERDING BEHAVIOR:
EMPIRICAL EVIDENCE IN THE
VIETNAMESE STOCK MARKET
Major: Finance and Banking
Major code: 60 34 02 01
MASTER THESIS
FINANCE AND BANKING
Academic Supervisor:
Dr. Duong Minh Chau
i
DECLARATION
I, Pham Thi Thanh An, declare that the research work reported in this dissertation is
my own. It is submitted to fulfill the requirements for the Masters of Finance and
Banking degree at the Open University of Ho Chi Minh City.
This thesis has not, either in whole or in part, been submitted for a degree or diploma
to any other institution or university for a similar qualification except where otherwise
indicated and acknowledged.
There are no other research papers used in this dissertation that are not cited in
accordance with regulations.
This thesis has never been submitted to receive any degree at other universities or
training institutions.
Ho Chi Minh City, 2018
Pham Thi Thanh An
ii
ACKNOWLEDGEMENT
Firstly, I would like to express my sincere gratitude to my advisor Prof. Duong Minh
Chau for the continuous support of my Master thesis, for his patience, motivation,
and immense knowledge. His guidance helped me in the time of writing research
proposal and my thesis. I feel lucky thanks to having a devoted support and direction
of my advisor for my thesis.
Beside my advisor, I would like to thank to Ms. Ha, Ms.Uyen and all the employees
working in Office of Postgraduate Management at Open University Ho Chi Minh
City for helping me in procedure of my Master thesis.
My sincere thanks also goes to my classmates working and helping me in all the time
of doing my thesis. They are one of the motivations for me to complete my study.
Thanks for every night, every weekend in three years working with me. I appreciate
your enthusiasm.
Last but not the least, I would like to thanks my family: my parents and to my brother
for supporting me spiritually and support finance throughout my learning and writing
my Master thesis.
iii
ABSTRACT
The thesis was conducted to find out the existence of herding behavior and to identify
strong herding points and strong influential points on the Vietnamese stock market
from 2006 to 2016. Data collected includes non-financial companies on both Ho Chi
Minh Stock Exchange and Ha Noi Stock Exchange from 2006 to 2016. The data is
divided: the entire period from 2006 to 2016, individual years and 3 sub-periods
consisting of before crisis 2006-2007, during crisis 2008-2012 and after the crisis
2013-2016. The model used includes the Cross Sectional Absolute Deviation (CSAD)
model of Chang et al. (2000) to determine the presence of herding behavior and
Weighted Cross- Sectional Variance (WCSV) model of Xie et. Al (2015) to find
strong herding points and strong influential points on the Vietnamese stock market.
In addition, the thesis also compares two models: WCSV model based on FamaFrench three factors according to Arbitrage Pricing Theory (APT) and WCSV model
based on CAPM one factors through adjusted R2
. The purpose of the study is to
investigate the impact of herding behavior of individual investors as well as to
consider the suitability of the WCSV model when comparing strong herding spots to
those of prominent events that influence to the Vietnamese stock market in the period
from 2006 to 2016.
Regarding the CSAD regression model, the results show that the herding behavior
exists in the Vietnamese stock market on both HOSE and HNX in the overall period
from 2006 to 2016, individual years (except 2008, 2013, 2015 and 2016) and in three
sub-periods: before, during and after the crisis. A comparison of the two models
including WCSV model based on Fama-French three-factor model and WCSV model
based on CAPM one factor shows that the WCSV model according to APT has a
higher Adjusted R2
than the WCSV model based on CAPM one factor model.
Through the WCSV model based on Fama-French three factors as the basic APT, the
results show that strong herding points and strong influential points appear in years,
periods of relevance to prominent events that strongly influence the Vietnamese stock
market. In general, strong herding points and strongly influential points appear
iv
energetically in the periods consisting of before crisis 2006-2007 and during crisis
2008-2012. However, in 2008, the CSAD model does not find the existence of
herding behavior, whereas the WCSV model yields strong herding spots at high
incidence. In addition, there is generally no difference between the results given in
the two models as well as there are not many differences between the selected
timelines. Thus, the above results show that there is a compatible combination of
CSAD and WCSV models in determining the existence of herding behavior,
eliminating a hypothetical factor of the WCSV model and determining the strong
herding points and strong influential points correspond to the time of prominent
events on the Vietnamese stock market.
v
TABLE OF CONTENTS
Page
Declaration .................................................................................................................. i
Acknowledgement...................................................................................................... ii
Abstract ..................................................................................................................... iii
Table of contents.........................................................................................................v
List of figures........................................................................................................... vii
List of tables............................................................................................................ viii
Abbreviations..............................................................................................................x
CHAPTER 1. INTRODUCTION ............................................................................1
1.1. Background......................................................................................................1
1.2. Research objectives..........................................................................................4
1.3. Research questions...........................................................................................4
1.4. Research Subject and Scope ............................................................................4
1.5. Contribution .....................................................................................................4
1.6. Structure...........................................................................................................5
CHAPTER 2. LITERATURE REVIEW AND HYPOTHESES ..........................7
2.1. Behavioral Finance ..........................................................................................7
2.1.1. Behavior Finance ..................................................................................7
2.2. Herding Behavior.............................................................................................8
2.2.1. Definitions of Herding Behavior...........................................................8
2.2.2. Types of Herding Behavior.................................................................10
2.3. Empirical Evidence........................................................................................12
2.4. Hypotheses.....................................................................................................23
CHAPTER 3. RESEARCH METHODS ..............................................................24
3.1. Data Description ............................................................................................24
3.2. Research methods..........................................................................................24
vi
3.3. Selection of Models.......................................................................................25
3.3.1. The Return Dispersion Model by Chang et al. (2000)........................25
3.3.2. The Return Dispersion Model by Xie et al. (2015) ............................26
3.3.3. Test for strong herding points and strongly influential points............29
CHAPTER 4. DATA ANALYSIS AND FINDINGS ...........................................32
4.1. Descriptive Statistics......................................................................................32
4.1.1. Descriptive Statistics...........................................................................32
4.2. Empirical Results...........................................................................................41
4.2.1. Results of testing the existence of herding behavior through CSAD
model.............................................................................................................41
4.2.2. Empirical results of testing strong herding points and strong
influential points............................................................................................48
CHAPTER 5. CONCLUSIONS AND RECOMMENDATION .........................58
5.1. Implications ...................................................................................................58
5.2. Limitations and Recommendations ...............................................................61
REFERENCES..........................................................................................................63
APPENDIX A ...........................................................................................................71
APPENDIX B ...........................................................................................................75
vii
LIST OF FIGURES
Page
Figure 4.1: Time series of the WCSV models during the period from 2006 to 2016
on HOSE ...................................................................................................................32
Figure 4.2: Time series of the WCSV models during the period from 2006 to 2016
on HNX .....................................................................................................................33
viii
LIST OF TABLES
Page
Table 3.1: A summarization of strong herding point testing ....................................29
Table 3.2 A detailed summarization of testing strong herding points in the thesis..30
Table 4.1: Summary statistics of dependent variables and independent variables of
WCSV model based on Fama-French Three Factor Model for 2006-2016 on HOSE.
...................................................................................................................................36
Table 4.2 : Summary statistics of dependent variables and independent variables of
WCSV model based on Fama-French Three Factor Model of Year 2006-2016 on
HNX. .........................................................................................................................37
Table 4.3: Description of variables in WCSV model in three sub-periods: before,
during and after crisis on HOSE ...............................................................................38
Table 4.4: Description of variables in WCSV model in three sub-periods: before,
during and after crisis on HNX .................................................................................39
Table 4.5: The correlation matrix of variables in WCSV model based on FamaFrench three factors on HOSE ..................................................................................40
Table 4.6: The correlation matrix of variables in WCSV model based on Fama -
French three factors on HNX ....................................................................................40
Table 4.7: Testing multicollinear of variables in WCSV model based on FamaFrench three factors over the period from 2006 to 2016...........................................41
Table 4.8: Testing multicollinear of variables in WCSV model based on FamaFrench three factors in three-sub periods: before, during and after crisis ................41
Table 4.9: OLS estimators of CSAD model on HOSE.............................................44
Table 4.10: OLS estimators of (a) WCSV model based on Fama –French three
factors as the basic APT (b) WCSV model based on CAPM one factor on HOSE .45
Table 4.11: OLS estimators of CSAD model on HNX.............................................46
Table 4.12: OLS estimators of (a) WCSV model based on Fama –French three
factors (b) WCSV model based on CAPM one factor on HNX ...............................47
Table 4.13: Summary of strong herding points and strong influential points with
single year data from 2006 to 2016 on HOSE. .........................................................53