A Study on Assets Categorizations and Optimal Allocation via an Improved Algorithm

Guang Liu
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Guang Liu: Guangzhou University

Chapter Chapter 28 in Recent Developments in Data Science and Business Analytics, 2018, pp 255-264 from Springer

Abstract: Abstract The efficiency of assets allocation is essential to investment performance. To deal with the dynamic optimization of industry asset allocation, an improved algorithm (the Index Hierarchical Structure Algorithm, IHSA) is applied to 20 industry indexes according to different sample period, and proved to deduce stabilized industry categorizations. Then, a series of different size industry portfolios are constructed by the algorithm, and their monthly rate of returns are compared with 369 open-ended funds (including 263 growth funds and 106 index funds). The results indicate that the performance of each industry portfolio is better than most of the sample funds in the early sample period, especially than index funds. The algorithm provides a useful guidance for industry allocation and active asset management.

Keywords: Index hierarchical structure algorithm; Industry categorization; Asset allocation; Topological space (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-72745-5_28

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DOI: 10.1007/978-3-319-72745-5_28

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