STOCK PORTFOLIO OPTIMIZATION IN BULLISH AND BEARISH CONDITIONS USING THE BLACK-LITTERMAN MODEL

Herma Wiharno, Arief Surya Lesmana, Yasir Maulana, Dede Djuniardi, M. Komarudin
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Abstract

Bullish and bearish phenomena characterize the development of the capital market. Therefore, this study aimed to identify and analyze bullish and bearish conditions in the Indonesian capital market to formulate an optimal portfolio. The sample consisted of 20 selected companies based on their substantial market capitali- zation. The results showed that from January 2011 to December 2020, the capital market experienced 77 bullish and 43 bearish months. The transition probability from bullish to bearish and bearish to bullish state was 15.67% and 56.14%. Furthermore, employing the Markov-switching model for determining market conditions and using the Black-Litterman model for portfolio construction proved advantageous for investors' financial forecasting techniques and their potential to generate valuable insights to create a well-informed portfolio.
用black-litterman模型优化看涨和看跌条件下的股票组合
看涨和看跌现象是资本市场发展的特征。因此,本研究旨在识别和分析印尼资本市场的看涨和看跌条件,以制定最优投资组合。样本由20家公司组成,这些公司是根据其可观的市值选择的。结果表明,从2011年1月到2020年12月,资本市场经历了77个看涨月和43个看跌月。从看涨到看跌和从看跌到看涨状态的转换概率分别为15.67%和56.14%。此外,采用马尔可夫转换模型来确定市场条件,并使用Black-Litterman模型来构建投资组合,证明对投资者的财务预测技术及其产生有价值的见解以创建信息充分的投资组合的潜力是有利的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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