Applying Genetic Algorithm to Explore Fund of Funds onEfficiency Frontier and Product Design

碩士 === 國立高雄第一科技大學 === 風險管理與保險所 === 94 === ABSTRACT This paper employs Genetic Algorithm(GA) to propose a model based on The Administration Act of Security Investment and Trust Fund to construct Efficiency Frontier of fund of funds(FoF) in Taiwan. The model in this paper can be used to examine the ef...

Full description

Bibliographic Details
Main Authors: Yuan-Chi Lee, 李原齊
Other Authors: Chao-Hsin Lin
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/07833184124807114984
Description
Summary:碩士 === 國立高雄第一科技大學 === 風險管理與保險所 === 94 === ABSTRACT This paper employs Genetic Algorithm(GA) to propose a model based on The Administration Act of Security Investment and Trust Fund to construct Efficiency Frontier of fund of funds(FoF) in Taiwan. The model in this paper can be used to examine the effects of Efficiency Frontier of FoF, to establish FoF and to verify its predictability. Therefore, this paper shows that Taiwan’s FoF based on The Administration Act of Security Investment and Trust Fund has been un-efficient. Built on the concept of asset allocations with the characteristics of maximal profits and minimal risks and on the consideration of three fund performance indexes and fund’s asset net value, this model constructs FoF by applying GA. Compared to the performance of TSEC weighted price index, the average performance of domestic FoF and domestic stock fund within the same period, the performance of the FoF constructed in this paper is more efficient during the testing phase. Moreover, on the basis of the order of Sharp Index, FoF asset allocation model combines the concept of minimal risks and maximal profits to establish FoF. This FoF asset allocation model puts emphasis on using the order of Sharp Index; consequently, it offers a better method iii to predict robustness.