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The impact of interaction among traders in artificial financial market

첫 페이지 보기
  • 발행기관
    한국재무학회 바로가기
  • 간행물
    한국재무학회 학술대회 바로가기
  • 통권
    2014년 경영관련학회 통합학술대회(재무학회-증권학회 세션) (2014.08)바로가기
  • 페이지
    pp.56-73
  • 저자
    Kyubin Yim, Gabjin Oh, Seunghwan Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A243456

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원문정보

초록

영어
In financial market considered as one of complex systems, there exists highly nonlinear interaction between heterogeneous traders. Due to this nonlinear interaction, emergent behavior so called stylized facts occurs in financial market. To understand impact of interaction between heterogeneous traders in financial market, we propose an agent based model consists of heterogeneous agents such as fundamentalist, optimistic and pessimistic and interaction between them. Fundamentalist make strategy using the fundamental value of market and play a role of stabilizing market. Fundamentalist forecasts future price will converge to fundamental value. While optimistic and pessimistic called by chartist have an investment strategy using the trend of past price and has a role of destabilizing market. Optimistic (pessimistic) forecasts future price will be larger (smaller) than current price. These three type agents change their own types into other types using transition rules dominated by herding and relative payoff strategy. We consider the topology of interaction between traders using complex network which is constructed by regular, random, small world and scale free network. We find that there were observed stylized facts such as power-law tails and long memory property of volatility in scale free network. Also, it was observed that frequent switching behavior between agent types in scale-free network with small clustering coefficient and short average path length. These results support that the heterogeneous and power-law scaling of interaction between traders would be the source of stylized facts in financial market.

목차

Abstract
 1 Introduction
 2 Model and Methodology
  2.1 Complex Network
  2.2 WS(Watts and Strogatz) Model
  2.3 BA(Barab´asi and Albert) Model
  2.4 Artificial stock market with local interactions
 3 Simulation and Result
 4 Conclusion and Discussion
 References

키워드

agent based model complex network nonlinear interaction

저자

  • Kyubin Yim [ Divison of Business Administration, Chosun University ]
  • Gabjin Oh [ Divison of Business Administration, Chosun University ]
  • Seunghwan Kim [ Divison of Business Administration, Chosun University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국재무학회 [The Korean Finance Association]
  • 설립연도
    1988
  • 분야
    사회과학>경영학
  • 소개
    본 회는 재무학 및 이와 관련되는 분야를 발전시키며 회원 상호간의 친목 도모를 목적으로 한다.

간행물

  • 간행물명
    한국재무학회 학술대회
  • 간기
    부정기
  • 수록기간
    2006~2024
  • 십진분류
    KDC 325 DDC 330

이 권호 내 다른 논문 / 한국재무학회 학술대회 2014년 경영관련학회 통합학술대회(재무학회-증권학회 세션)

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