Exploiting Low-Risk Anomaly in the Black-Litterman Framework: Evidence from South Korea
Abstract
There is a low-risk anomaly in the stock markets around the world for a long time. The Korean financial market is also experiencing low-risk anomalies, and even portfolios of high-risk stocks have lost close to 70% between... [ view full abstract ]
There is a low-risk anomaly in the stock markets around the world for a long time. The Korean financial market is also experiencing low-risk anomalies, and even portfolios of high-risk stocks have lost close to 70% between 2000 and 2016. We exploit the low-risk anomaly in the Black-Litterman framework in the Korean financial market. we predict volatility of firms in Korean Stock Price Index 200(KOSPI 200) to classify stocks into high-risk and low-risk groups. The Black-Litterman portfolio has a Sharpe ratio that is about twice higher than the market portfolio.
Authors
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SUJIN PYO
(Seoul National University)
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Jaewook Lee
(Seoul National University)
Topic Areas
Asset Allocation , Machine Learning , Portfolio Theory
Session
PS » Poster Presentations (11:00 - Monday, 16th July)