The Information Content of Trump Tweets and the Currency Market

I. Filippou, A. Gozluklu, My T. Nguyen, Ganesh Viswanath-Natraj
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引用次数: 4

Abstract

Using textual analysis, we identify the set of Trump tweets that contain information on macroeconomic policy, trade, or exchange rate content. We then analyze the effects of Trump tweets on the intraday trading activity of foreign exchange markets, such as trading volume, volatility, and FX spot returns. We find that Trump tweets reduce speculative trading, with a corresponding decline in trading volume and volatility, and induce a bias reflecting Trump’s (optimistic) views on the U.S. economy. We rationalize these results within a model of Trump tweets revealing economic content as a public signal that reduces disagreement among speculators.
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特朗普推文的信息内容与货币市场
通过文本分析,我们确定了一组包含宏观经济政策、贸易或汇率内容的特朗普推文。然后,我们分析了特朗普推文对外汇市场日内交易活动的影响,如交易量、波动性和外汇现货回报。我们发现,特朗普的推文减少了投机性交易,交易量和波动性相应下降,并引发了一种反映特朗普对美国经济(乐观)看法的偏见。我们在一个特朗普推文模型中对这些结果进行了合理化解释,该模型将经济内容揭示为减少投机者之间分歧的公共信号。
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