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Measuring the market risk for the selected ASEAN countries - A value at risk approach
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MINISTRY OF EDUCATION & TRAINING
HO CHI MINH CITY OPEN UNIVERSITY
-----------------------------------------------
DANG TUONG THUAN
MEASURING THE MARKET RISK FOR THE
SELECTED ASEAN COUNTRIES:
A VALUE-AT-RISK APPROACH
THESIS OF MASTER OF FINANCE AND BANKING
HCMC – May 2018
MINISTRY OF EDUCATION & TRAINING
HO CHI MINH CITY OPEN UNIVERSITY
-----------------------------------------------
DANG TUONG THUAN
MEASURING THE MARKET RISK FOR THE
SELECTED ASEAN COUNTRIES:
A VALUE-AT-RISK APPROACH
Major: Finance and Banking
Major Code: 60 34 02 01
THESIS OF MASTER OF FINANCE AND BANKING
Academic Supervisor:
Dr. VO HONG DUC
i
DECLARATION
I hereby declare, that this thesis, “Measuring the market risk for the selected
ASEAN countries: A Value-at-Risk approach” is written and submitted by me
in fulfillment of the requirements for Master of Finance and Banking Program in
Ho Chi Minh City Open University. I further proclaim that this work is my original
result which is drawn on material collected by me. It has not been submitted for any
other subjects or equivalent course.
HCMC, May 2018
Dang Tuong Thuan
ii
ACKNOWLEDGEMENT
I would like to thank all those whose assistance proved to be a milestone in the
accomplishment of my end goal.
First and foremost, I would like to express a special appreciation to my academic
advisor – Dr. Vo Hong Duc, for his supports, guidance and patience. It is obviously
a privilege of mine.
I would like to thank my dear friends for their encouragements. Especially, I want
to give back a whole meaning of thank you to my fellow friend Pham Ngoc Thach
for his countless supports on along the writing process.
Finally, I would like to thank my family, my parents, sisters and brother, who are
always behind me unconditionally on the road I have been.
iii
ABSTRACT
One of the key concepts of risk measurements in financial and industrial sector
is the probability-based risk measurement method known as Value-at-Risk or VaR.
The results produced by a VaR model are simple for all levels of staff from all areas
of an organization to understand and appreciate. That is why VaR has been adopted
so rapidly. While VaR is an important issue for banks since its adoption as a primary
risk metric in the Basel Accords, there has been little investigation of industry based
VaR or CVaR metrics in to the author’s knowledge.
This study is designed to achieve two main objectives. First, determining and
measuring a relative level of market risk for each of the all industries of selected
countries, including Vietnam, Singapore, Malaysia and Thailand from 2007-2016.
Second, the estimates of Beta in CAPM are then compared with the relative level
of risk exhibited by key industries obtained from the VaR and CVaR techniques.
The findings are noticeable. First, by both historical and parametric VaR, finance
and real estate are ranked to be the highest risk industries in Vietnam throughout
the 10-year period. However, there are differences of industry risk rakings in other
countries, being Singapore, Thailand and Malaysia. Second, by CAPM, energy
businesses face a relatively higher risk in comparison with the market as the whole,
following by finance, material and estate. This result is somehow consistent with
VaR. However, the divergence is that the relatively rankings of Utility sector by
two method are completely opposite.
Keywords: Value at Risk, Conditional Value at Risk, industry risk, CAPM,
ASEAN
iv
“Research is formalized curiosity. It is poking and prying with a purpose.”
Zora Neale Hurston
v
TABLE OF CONTENTS
DECLARATION .................................................................................................... i
ACKNOWLEDGEMENT .................................................................................... ii
ABSTRACT .......................................................................................................... iii
TABLE OF CONTENTS ...................................................................................... v
ABBREVIATIONS.............................................................................................. vii
LIST OF FIGURES............................................................................................ viii
LIST OF TABLES................................................................................................ ix
CHAPTER 1: INTRODUCTION ........................................................................ 1
1.1. Problem statement ...................................................................................... 1
1.2. Research objectives.................................................................................. 3
1.3. Research questions................................................................................... 3
1.4. Contribution of thesis .............................................................................. 4
1.5. Structure of thesis .................................................................................... 5
CHAPTER 2: LITERATURE REVIEW............................................................ 6
2.1. Theoretical ................................................................................................ 6
2.1.1. Risk: Definitions and classifications................................................ 6
2.1.2. Market risk measurements............................................................... 7
2.1.2.1. Value-at-Risk.................................................................................. 7
2.1.2.2. Conditional Value at Risk ........................................................... 19
2.1.2.3. CAPM ........................................................................................... 19
2.2. Empirical studies.................................................................................... 21
2.2.1. Value-at-Risk ................................................................................... 21
2.2.2. Conditional Value-at-Risk.............................................................. 23
vi
2.2.3. CAPM - Beta.................................................................................... 23
CHAPTER 3: RESEARCH METHODOLOGY AND DATA........................ 28
3.1. Data............................................................................................................. 28
3.2. Research methodology – the Models.................................................... 32
3.3. Hypothesis............................................................................................... 38
CHAPTER 4: RESEARCH RESULTS AND DICUSSION............................ 41
4.1. VaR and CVaR....................................................................................... 41
4.1.1. Vietnam ............................................................................................ 41
4.1.2. Malaysia – Singapore – Thailand .................................................. 49
4.1.3. Market risk by VaR and CVaR among countries........................ 52
4.1.4. Test results....................................................................................... 58
4.2. Beta estimation ....................................................................................... 60
4.3. Comparison in Vietnam ........................................................................ 64
CHAPTER 5: CONCLUSION AND IMPLICATIONS ................................. 67
5.1. Concluding remark................................................................................ 67
5.2. Implications ............................................................................................ 68
5.2.1. For Vietnamese government .......................................................... 68
5.2.2. For investors .................................................................................... 69
5.2.3. For academic purposes................................................................... 70
5.3. Limitations and further research ......................................................... 70
REFERENCES .................................................................................................... 71