JaLCDOI 10.18926/OER/12382
フルテキストURL 39_4_151_176.pdf
著者 黒田 耕嗣| 村井 浄信|
抄録 Using a Gibbs distribution developed in the theory of statistical physics and a long−range percolation theory, we present a new model of a stock price process for explaining the fat tail in the distribution of stock returns. We consider two types of traders, Group A and Group B : Group A traders analyze the past data on the stock market to determine their present trading positions. The way to determine their trading positions is not deterministic but obeys a Gibbs distribution with interactions between the past data and the present trading positions. On the other hand, Group B traders follow the advice reached through the long−range percolation system from the investment adviser. As the resulting stock price process, we derive a Lévy process.
キーワード stock price process Lévy process Gibbs distribution long−range percolation fat tail
出版物タイトル 岡山大学経済学会雑誌
発行日 2008-03
39巻
4号
開始ページ 151
終了ページ 176
ISSN 03863069
言語 英語
著作権者 岡山大学経済学会
論文のバージョン publisher
NAID 120002304827
JaLCDOI 10.18926/OER/14929
フルテキストURL 40_4_115_125.pdf
著者 村井 浄信|
抄録 In 1993, Menshikov and Zuev introduced ρ−percolation model, in which a path of a graph is ρ−passable in a bond percolation configuration if the concentration of open bonds on it is at least ρ, and concerning this model, they gave four open problems. In this paper, we answer three problems out of them : the first one is whether the ρ−percolation critical probability is equal to the critical probability corresponding to finite/infinite expectation of the number of ρ−connectable vertices from a fixed vertex, the second is whether the 1-p ercolation critical probability is equal to the Bernoulli bond percolation critical probability, and finally the third is whether the probability of the existence of ρ−passable path of length exceeding n starting from a fixed vertex always decays exponentially in the subcritical phase.
出版物タイトル 岡山大学経済学会雑誌
発行日 2009-03-10
40巻
4号
開始ページ 115
終了ページ 125
ISSN 0386-3069
関連URL http://www.e.okayama-u.ac.jp/~shiryou/gakkaishi.htm
言語 英語
著作権者 岡山大学経済学会
論文のバージョン publisher
NAID 120002308476
JaLCDOI 10.18926/OER/54147
タイトル(別表記) Strong Law of Large Numbers on a Polymer Model with Response Functions for Public Information
フルテキストURL oer_047_2_117_127.pdf
著者 村井 浄信|
出版物タイトル 岡山大学経済学会雑誌
発行日 2016-02-23
47巻
2号
開始ページ 117
終了ページ 127
ISSN 0386-3069
言語 日本語
著作権者 Copyright © 2016 岡山大学経済学会
論文のバージョン publisher
NAID 120005740487