VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ECONOMICS AND BUSINESS FACULTY OF FINANCE AND BANKING ~--#@es@|LE]x»s@&---- VERIFYING THE SIGNALS FROM STOCK SPLITS ON THE VIETNAMESE STOCK MARKET Lecturer PhD. Vu Thi Loan Student Vu Mai Linh ID Card 19050685 Class QH2019E TCNH CLC 4 Ha Noi, May 2023 VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ECONOMICS AND BUSINESS FACULTY OF FINANCE AND BANKING GRADUATION THESIS 2023 VERIFYING THE SIGNALS FROM STOCK SPLITS ON THE VIETNAMESE STOCK MARKET Lecturer PhD. Vu Thi Loan Student name Vu Mai Linh Student code 19050685 Class QH2019E TCNH CLC 4 Ha Noi, May 2023 ACKNOWLEDGMENTS After four years of studying and training at the University of Economics and Business, I have had the opportunity to learn, enhance, and acquire new knowledge as well as advanced research and methodological skills, which have contributed to the successful completion of this thesis. Firstly, I would like to express my sincere gratitude to the administration of the University of Economics and Business, and the leadership of the Faculty of Finance and Banking, as well as all the lecturers and professors who have created favorable conditions and provided research support during my studies.
In particular, I would like to send my deepest thanks to my thesis advisor, Ph.D Vu Thi Loan, for her dedicated guidance, instruction, and encouragement throughout the process of my research. Despite my shortcomings during the implementation of the thesis, I hope to receive constructive feedback to improve the quality of the work. Once again, I would like to express my sincere appreciation to all those who have supported and contributed to the completion of this thesis. DECLARATION I certify that this research paper is our own work under the guidance of Ph.D Vu Thi Loan.
The data and materials used in this research are clear and truthful. The results and evaluations have not been published in any other research paper. Contents LIST OF EIGURES.e-c< sen HHYHHHRRHRERSERSEEESHESERSEEEEEEESEESERSEESEEEsiiiisrtiriirrsrre 1 LIST OF DIAGRAMS. cong nh HHYTRR0R0810110S11S0130178171113113013013011130130130110110118 2 LIST OF TABLES.--e«se< sen HRHHRHRHRTHRHHEHEESEEEESEESEESEErtirrstTstiisriitrirrsrre 3 CHAPTER 1: INTRODUCTION.
The significance of the ion. Research objectives and tasks. Research on hố. Research objectives and SCOD.
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The Event Study metÌO. --- - - «+ TH Hà TH nh Tà HT TT Hàn trệt 26 3. Testing the existence of abnormal return and cumulative abnormal return. 30 CHAPTER 4: RESEARCH FINDINGS ON SIGNALING THEORY TO STOCK SPLIT ANNOUNCEMENTS OF COMPANIES LISTED ON THE VIETNAMESE STOCK MARKET.
An overview of the Vietnamese economy and stock market in 2022. Overview of companies conducting stock splits in Vietnam. The results of analyzing unusual gains are related to the announcement of a stock split by companies in the Vietnamese stock marK€L. - -- c6 S3 1211 1E 1E 1111 1 11 1 gu HH ng giết 35 4.
sọ TH TH HT TH TH HH HH HH ke 35 4.2 Model test results ốố ẻ. 35 CHAPTER 5: SUMMARY, CONCLUSIONS AND RECOMMENDA'TIONS.1 Summary and ConCÌÏUSỈOTNS.- 6 6 5t 1 91932111 91 1 111 HT TH HT ch HH ngư 41 5. FOr iNVeStOrs ose eeseeseessescseecesesseecseseesscsseesscseseesceesscseesscsssessesesasseeeescsesesaseeesesaeesaeeeees 41 b2). Research limitations TÔ.
song nHHHHnHHYHHYHRHRHRTHRRHEREESERERKESHESEESE-SERSEEESEESEESEEEREESEESEiiitrire 45 References in EnglÌiSÌh. - - «+ tk 1 TT TH TH nọ TH HT TT HH TT HH TT Tà HH ng Hh 45 References in Vi@tiam. ¿--- «+ kh 1v HT TT TH TH TT TT TT HT Tà Hàng 46 APPENDIX. 49 LIST OF FIGURES Figure 2.1: Signaling Timeline 13 Figure 4.1: GDP for the period 2011-2022 (%) 32 Figure 4.2: Number of securities investment accounts opened annually and VN- - Index movements at the end of the year Figure 4.3: Cumulative Average Abnormal Return Trend 37 37 Figure 4.4: Average Abnormal Return Trend LIST OF DIAGRAMS Diagram 3.1: Research process 23 Diagram 3.
Event Study Methodology 28 LIST OF TABLES Table 4.1: The results of the analysis of average abnormal return (AAR) and average cumulative abnormal return (CAAR) during the time frame of the 35 announcement of the stock split CHAPTER 1: INTRODUCTION 1. The significance of the topic The stock market plays a vital role in the development of an economy and is an indispensable part of the financial system of each country. Investors are highly concerned about information and the quality of it, and how it affects the stock price. Any business with stocks traded on the exchange is cautious when giving information to the public and investors because that information reflects the face and status of the company to the public and investors.
Stock price fluctuations and investors’ attraction to stocks depend not only on the financial figures in the report but also on the information transmitted through the media in the market. This information can come from financial companies, securities companies, and analysts aiming to provide an overview of the stock market for investors. Therefore, investors’ reactions to information disclosed on the stock market are a matter of concern for many researchers. Stock split is a technical operation that is quite common among listed companies.
In theory, stock split simply increases the number of shares without changing the company's cash flow. Therefore, stock split does not change the company's value. However, many experimental studies have shown that stock split information has certain effects on the price and liquidity of stocks. Some previous studies have found that stock split information has a positive effect on the price and liquidity of stocks (Wu and Chang, 1997; Kuse and Yamamoto, 2004; Aduda and Caroline, 2010; Li et al., 2015), while some other studies have found the opposite results (Lammoureux and Poon, 1987; Conroy et al., 1990; Leemakdej, 2007; Patel et al.
In recent years, stock splits of listed companies have become quite common on the HOSE. How investors react to stock split information and the relationship between signal theory and stock price volatility is a question that many people ask, but until now, there has been no satisfactory answer. Therefore, the aim of this research is to search for empirical evidence to answer this question through the use of data including 56 stock split events of 38 listed companies on the Ho Chi Minh City Stock Exchange and Hanoi Stock Exchange in 2022. The study uses an Event Study model to draw conclusions about the impact of stock split announcements and the relationship between signal theory and price volatility in the Vietnamese stock market.
From there, recommendations can be made to benefit investors in evaluating the prospects of companies and considering them in the decision- making process. Research objectives and tasks 2. Research objectives The objective ofthis research is to test the signaling theory using the stock split activities of listed companies on the Vietnamese stock market. Based on the research findings, recommendations can be made for business managers to devise appropriate policies, while aiding investors in making accurate predictions on the future returns of stocks.
Research tasks Systemizing the theoretical foundations of the signaling theory regarding stock splits of enterprises. Evaluating, analyzing and verifying how stock split information affects the stock price and the market. Providing some suggestions for investors and enterprises before making decisions to trade securities and announce stock split information. Research question Based on the research objectives, in this thesis, the author will focus on studying and explaining the research questions: 1.
The impact of the stock split announcement on the stock market in Vietnam in recent times? 2. The relationship between signaling theory and stock price volatility 3. For investors and other organizations, what purposes can they use the effect of the stock split announcement on stock prices for? 4. Research objectives and scope 4.
Research object For the purpose of conducting research to verify the signal theory from the stock split activities of listed companies in the Vietnamese stock market using the event study method. The study focuses on analyzing and processing data to produce investment models along with investment recommendations, without delving deeply into market analysis to make decisions. The decisions made depend on the skills and preferences of each investor. Research scope The study was conducted based on 56 samples of stock split events data from listed companies on the Vietnam stock exchange from January 2022 to December 2022, including: closing prices of trades, VN-Index, and other necessary data.
Research methods The study uses the event study method to measure the impact of stock split information announcements on stock price changes. Therefore, this article will design the study according to the correct sequence and standards of the event study method. Research Event The article focuses on studying the event of the announcement of stock split information on the changes in stock prices and trading volume of stocks. The event date is the date of the information announcement on vietstock.
If the information is announced during trading hours, the event date is the announcement date. If the information is announced after trading hours or falls on a holiday, the event date is the next trading day. Contribution of research This research can be utilized to assist investors in predicting stock price trends of businesses and developing profitable investment strategies. Additionally, the research findings can provide critical signals and act as references for individual investment decisions.
The study includes suggestions to the Securities Company and related parties to improve transparency of the market and elevate investors’ proficiency. The research also emphasizes the significance of sustaining a company's growth. Structure of the study In addition to the introduction, conclusion, attached appendices, the research paper is built through 4 main chapters: - Chapter 1: Introduction - Chapter 2: Research overview and theoretical basis on the theory of signal theory from stock split activity - Chapter 3: Research Methodology - Chapter 4: Research results of analyzing the stock price volatility in relation to the announcement of stock split in Vietnam - Chapter 5: Summary, conclusions and recommendations. CHAPTER 2: RESEARCH OVERVIEW AND THEORETICAL BASIS ON THE THERY OF SIGNAL THEORY FROM STOCK SPLIT ACTIVITY 2.1 Overview of domestic research To date, there have been several studies published on the impact of stock splits on the prices and liquidity of stocks.
Notable studies include that of Truong Dong Loc and Ngon Ly Quan (2019), which investigated the effect of stock split information on the price and trading volume of listed stocks on the Hanoi Stock Exchange from 2015 to 2017. The authors used the event study method in financial economics. The events studied included daily closing prices and trading volumes, which were the total volume of matched orders in the session. This study provides additional empirical evidence on the impact of stock split information on the price and liquidity of listed stocks on the Vietnam stock market.
The sample consists of 237 stock split events of 150 listed companies on HOSE from 2015 to 2017. The statistical analysis results reveal that the prices of the stocks changed around the day of the stock split announcement. Specifically, the stock price increased by 0.33% two days before the release of the information and continued to increase by 0.59% in the next session after the announcement. Furthermore, the price increase of the stocks was continuously maintained for 10 trading sessions following the announcement.