Multi-asset allocation of exchange traded funds: Application of Black–Litterman model. Issue 4 (2nd October 2021)

• Record Type: Journal Article
• Authors: Tang, Mei-Ling; Wu, Feng-Yu; Hung, Ming-Chin
• Is Part Of: Investment analysts journal. Volume 50:Issue 4(2021)
• Page Start: 273
• Page End: 293
• Publication Date: 2021-10-02
• Subjects: Black–Litterman model -- ETFs -- momentum strategy -- systematic investment plan -- lump-sum investment; G10 -- G11; Investment analysis -- Periodicals; Investments -- Africa, Southern -- Periodicals; Finance -- Periodicals; Finance; Investment analysis; Investments; Africa, Southern; Periodicals; 332.605
• DOI: 10.1080/10293523.2021.2010387
• Languages: English
• ISSNs: 2077-0227

Abstract

ABSTRACT: The Black–Litterman (BL) model allows investors to apply their subjective views to asset allocation optimisation. In this study, we construct a multi-asset allocation portfolio of iShares exchange traded funds (ETFs) using mean–variance (MV) and BL models. Two investment strategies, namely lump-sum investment and a systematic investment plan (SIP), are also investigated and applied to ETF portfolios. On the basis of a momentum strategy, three subjective views of investors are developed for the BL model. The contributions of this empirical study are threefold. First, under the SIP strategy, BL portfolios outperform the MV portfolio in terms of cumulative values, even when an investment starts with bad market timing (i.e., 2008). Second, the asset allocation weights of BL portfolios are demonstrated to be closely related to investors' subjective views and significantly different from those of the MV portfolio. Third, the three BL portfolios constructed on the basis of the momentum strategy exhibit similar performance patterns in their cumulative returns during the period from 2008 to mid-2021, indicating that investors' views are consistently reflected in the BL portfolios and consequently contribute to the similarity of the portfolios' performance as they share similarities in the application of momentum strategies.