49 research outputs found

    Mood and the Market: Can Press Reports of Investors’ Mood Predict Stock Prices?

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    We examined whether press reports on the collective mood of investors can predict changes in stock prices. We collected data on the use of emotion words in newspaper reports on traders’ affect, coded these emotion words according to their location on an affective circumplex in terms of pleasantness and activation level, and created indices of collective mood for each trading day. Then, by using time series analyses, we examined whether these mood indices, depicting investors’ emotion on a given trading day, could predict the next day’s opening price of the stock market. The strongest findings showed that activated pleasant mood predicted increases in NASDAQ prices, while activated unpleasant mood predicted decreases in NASDAQ prices. We conclude that both valence and activation levels of collective mood are important in predicting trend continuation in stock prices

    Is technical analysis able to beat market inefficiency?

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    Investing strategies as continuous rising (falling) share prices released

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    [[abstract]]We argue that continuous rising (falling) share prices might cause herding behaviors due to investors’ sentiments aroused. To my best of our understanding, we argue that this study pioneers to explore the trading performance after continuous rising (falling) prices, which might contribute to the existing literature in finance. By employing the constituent stocks of DJ 30, FTSE 100, and SSE 50 as our samples, we reveal that contrarian strategies are proper for continuous falling prices instead of continuous rising prices. We argue that the results reveled might benefit for investors to trade these constituents’ stocks.[[notice]]補正完
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