TY - GEN
T1 - The measurement of exit strategy impact in Fuzzy portfolio-based investment
AU - Wang, Bo
AU - Li, You
AU - Watada, Junzo
PY - 2013
Y1 - 2013
N2 - In security market, the term exit means that the investor may sell his equity on account of some exogenous or endogenous incentives, especially when security price becomes higher than his expectation or lower than his tolerance. It is a common problem that all the deciders need to face in the investment horizon. However, there have been few studies probe into the influences caused by such strategy in fuzzy environment. Therefore, in this work, we use the exit strategy to secure security future returns and rebuild fuzzy portfolio selection models. Then, we discuss about the exit points and employ one meta-heuristic method to solve the proposed models. We also analyze the differences between the new models' experimental results and that of previous methods.
AB - In security market, the term exit means that the investor may sell his equity on account of some exogenous or endogenous incentives, especially when security price becomes higher than his expectation or lower than his tolerance. It is a common problem that all the deciders need to face in the investment horizon. However, there have been few studies probe into the influences caused by such strategy in fuzzy environment. Therefore, in this work, we use the exit strategy to secure security future returns and rebuild fuzzy portfolio selection models. Then, we discuss about the exit points and employ one meta-heuristic method to solve the proposed models. We also analyze the differences between the new models' experimental results and that of previous methods.
KW - Exit points of profit and loss
KW - Exit strategy
KW - Fuzzy portfolio selection
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=84896872732&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84896872732&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-264-6-409
DO - 10.3233/978-1-61499-264-6-409
M3 - Conference contribution
AN - SCOPUS:84896872732
SN - 9781614992639
VL - 255
T3 - Frontiers in Artificial Intelligence and Applications
SP - 409
EP - 418
BT - Frontiers in Artificial Intelligence and Applications
ER -