TY - JOUR
T1 - Financial stylized facts in the word of mouth model
AU - Misawa, Tadanobu
AU - Watanabe, Kyoko
AU - Shimokawa, Tetsuya
PY - 2007
Y1 - 2007
N2 - Recently, we proposed an agent-based model called the word of mouth model to analyze the influence of an information transmission process to price formation in financial markets. Especially, the short-term predictability of asset, return was focused on and an explanation in the view of information transmission was provided to the question why the predictability was much clearly observed in the small-sized stocks. This paper, to extend the previous study, demonstrates that the word of mouth model also has a consistency with other important financial stylized facts. This strengthens the possibility that the information transmission among investors plays a crucial role in price formation. Concretely, this paper addresses two famous statistical features of returns: the leptokurtic distribution of return and the autocorrelation of return volatility. The reasons why these statistical facts receive especial attentions of researchers among financial stylized facts are their statistical robustness and practical importance, such as the applications to the derivative pricing problems.
AB - Recently, we proposed an agent-based model called the word of mouth model to analyze the influence of an information transmission process to price formation in financial markets. Especially, the short-term predictability of asset, return was focused on and an explanation in the view of information transmission was provided to the question why the predictability was much clearly observed in the small-sized stocks. This paper, to extend the previous study, demonstrates that the word of mouth model also has a consistency with other important financial stylized facts. This strengthens the possibility that the information transmission among investors plays a crucial role in price formation. Concretely, this paper addresses two famous statistical features of returns: the leptokurtic distribution of return and the autocorrelation of return volatility. The reasons why these statistical facts receive especial attentions of researchers among financial stylized facts are their statistical robustness and practical importance, such as the applications to the derivative pricing problems.
KW - Financial stylized facts
KW - Information transmission
KW - Word of mouth
UR - http://www.scopus.com/inward/record.url?scp=34247531388&partnerID=8YFLogxK
U2 - 10.1527/tjsai.22.256
DO - 10.1527/tjsai.22.256
M3 - 学術論文
AN - SCOPUS:34247531388
SN - 1346-0714
VL - 22
SP - 256
EP - 262
JO - Transactions of the Japanese Society for Artificial Intelligence
JF - Transactions of the Japanese Society for Artificial Intelligence
IS - 3
ER -