Nonlinear Theory and Its Applications, IEICE
Special section on Recent Progress in Nonlinear Theory and Its Applications
Nonlinear portfolio model and its rebalancing strategy
Satoshi InoseTomoya SuzukiKazuo Yamanaka
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Volume 4 (2013) Issue 4 Pages 351-364

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Abstract

A nonlinear portfolio model was formulated by applying a nonlinear prediction method and its prediction error to the Markowitz mean-variance portfolio model. Also, the Sharpe ratio, which is a typical evaluation function of portfolio optimization, was modified to adopt stock-trading commissions and the trading-unit system, which are inevitable for portfolio rebalancing in real investment. Then, we discussed the best rebalancing frequency from the viewpoint of the trade-off between prediction accuracy and rebalancing costs. By investment simulations based on real stock data, we confirmed that shorter-term rebalancing is more effective even if we are required to pay higher commissions because short-term nonlinear prediction works better to estimate future return rates and to reduce investment risks.

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© 2013 The Institute of Electronics, Information and Communication Engineers
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