An Evolutionary Approach to Asset Allocation in Defined Contribution Pension Schemes
Küçük Resim Yok
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
With the increasing popularity of defined contribution pension schemes, the related asset allocation problem has become more prominent. The usual portfolio asset allocation approach is far from being appropriate since the asset allocation problem faced by defined contribution pension schemes is fundamentally different. There have been many attempts to solve the problem analytically. However, most of these analytical solutions fail to incorporate real world constraints such as short selling restrictions for the sake of mathematical tractability. In this chapter, we present an evolutionary approach to the asset allocation problem in defined contribution pension schemes. In particular, we compare the simulation results from a genetic algorithm with the results from an analytical model, a simulated annealing algorithm, and two asset allocation strategies that are widely used in practice, namely the life cycle and threshold (funded status) strategies.
Açıklama
1st European Workshop on Evolutionary Computation in Finance and Economics -- APR, 2007 -- Valencia, SPAIN
Anahtar Kelimeler
Naive Diversification, Portfolio, Risk, Strategies, Reduction
Kaynak
Natural Computing in Computational Finance
WoS Q Değeri
N/A
Scopus Q Değeri
Q4
Cilt
100
