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Abstract
News and news sentiment often influence financial markets and asset prices. Investors commonly recognize this, but only a few studies have used news sentiment in news to predict future financial market developments and to formulate alpha-generating strategies, let alone create a best-practice approach for tactical asset allocation. In order to fill this gap, the authors combine company- and macro-specific news sentiment from around 100,000 news pieces per week and use the CUSUM (cumulative sum) filter method to calculate momentum in news sentiment. With this approach, they obtain a strategy that delivers solid outperformance with an information ratio of 0.8, while switching as few as eight times per year (on average), making it practicable for both tactical asset allocators and investors in general.
TOPICS: Financial crises and financial market history, exchanges/markets/clearinghouses, in markets
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