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008 140100s1999 th uu m rtt 00| a1eng d
035 _a.b11773194
099 9 _aAIT RSPR no. SM-99-80
100 0 _aSuchai Sutapak
245 1 3 _aAn empirical study of chaotic dynamical behavior :
_bthe case of Thailand's stock market
260 _aBangkok :
_bAsian Institute of Technology,
_c1999
300 _a66 leaves
490 1 _aResearch studies project report ;
_vno. SM-99-80
500 _aA research study submitted in partial fulfillment of the requirements for the degree of Master of Business Administration
502 _aResearch Studies Project Report (M.B.A.) - Asian Institute of Technology, 1999
520 _aOwing to the insufficiency in explaining the behavior of financial assets of finance theories based on the Efficient Market Hypothesis (EMH), including evidences in a number of financial markets, there are new approaches to cope with this problem. In recent years, a new approach for doing this job is based on nonlinear system-particularly the Chaos theory. It is believed that this theory suits the financial assets' behavior better because of the feedback system, which is the most important characteristic of nonlinear system. The feedback system is a set of interconnected systems, or put simply, its outputs become its inputs in the next state. It is believed so because there are evidences indicating that markets do have memory- what happened yesterday influences what happen today and even tomorrow. This is in line with the feedback system. In United States, to find out whether the financial markets are linear according to the EMH or nonlinear, especially chaotic, according to the Chaos theory, there are many empirical studies. These studies covered stock, commodity and money markets, and indicated that some markets are linear whereas some are not. In this study, to indicate whether the stock market of Thailand is linear, we employed similar methodologies. We used both the returns and index numbers of the SET Index. Also, we used three frequencies of the SET Index-monthly, weekly and daily. In the study, we found that the SET Index is chaotic. It implies that any attempt, based on the EMH, to explain and/or predict the SET Index's behavior may not be appropriate. The study also stated that the lower bound or the minimum dynamical variable in explaining the SET Index's behavior is two, but did not indicate that what are those two variables. However, some characteristics of the SET Index, such as the duration of cycle and the Lyapunov exponent, still are inconclusive in the study.
650 0 _aStock exchanges
_zThailand
700 1 _aGupta, Joyti,
_eChairperson
700 1 _aIgel, Barbara,
_eExamination Committee
700 1 _aDo, Ba Khang,
_eExamination Committee
710 2 _aPartial Asian Institute of Technology Scholarship,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. SM-99-80
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B12114
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