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Do Noise Traders Move Markets?

机译:噪声交易者会移动市场吗?

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We study the trading behavior of individual investors using the Trade and Quotes (TAQ) and Institute for the Study of Security Markets (ISSM) transaction data over the period 1983 to 2001. We document three results: (1) Order imbalance based on buyer- and seller-initiated small trades from the TAQ/ISSM data correlate well with the order imbalance based on trades of individual investors from brokerage firm data. This indicates trade size is a reasonable proxy for the trading of individual investors. (2) Order imbalance based on TAQ/ISSM data indicate strong herding by individual investors. Individual investors predominantly buy (sell) the same stocks as each other contemporaneously. Furthermore, they predominantly buy (sell) the same stocks one week (month) as they did the previous week (month). (3) When measured over one year, the imbalance between purchases and sales of each stock by individual investors forecasts cross-sectional stock returns the subsequent year. Stocks heavily bought by individuals one year underperform stocks heavily sold by 4.4 percentage points in the following year. The spread in returns of stocks bought and stocks sold are greater for small stocks and stocks heavily traded by individual investors. Among stocks heavily traded by individual investors, the spread in returns between stocks bought and stocks sold is 13.5 percentagepoints the following year.Over shorter periods such as a week or a month, a different pattern emerges. Stocks heavily bought by individual investors one week earn strong returns in the subsequent week, while stocks heavily sold one week earn poor returns in the subsequent week. This pattern persists for a total of three to four weeks and then reverses for the subsequent several weeks. In addition to examining the ability of small trades to forecast returns, we also look at the predictive value of large trades. In striking contrast to our small trade results, we find that stocks heavily purchased with large trades one week earn poor returns in the subsequent week, while stocks heavily sold one week earn strong returns in the subsequent week.
机译:我们使用1983年至2001年期间的交易和报价(TAQ)和证券市场研究所(ISSM)的交易数据来研究个人投资者的交易行为。我们记录了三个结果:(1)基于买方的订单不平衡- TAQ / ISSM数据中的卖方发起的小额交易与基于经纪公司数据中的个人投资者交易而产生的订单失衡密切相关。这表明交易规模是个人投资者交易的合理替代。 (2)基于TAQ / ISSM数据的订单失衡表明个人投资者的强烈追随。个人投资者主要同时购买(出售)彼此相同的股票。此外,他们主要在一周(一个月)内购买(出售)与上周(一个月)相同的股票。 (3)按一年计量时,个人投资者购买和出售每只股票之间的不平衡预测了下一年的横断面股票收益。一年内被个人大量购买的股票表现不及第二年大量出售的股票4.4个百分点。小型股票和个人投资者大量交易的股票,买入和卖出股票的回报率差异更大。在个人投资者进行大量交易的股票中,购买股票和出售股票之间的回报差在第二年为13.5个百分点。在较短的一段时间(例如一周或一个月)内,出现了不同的模式。一周内被个人投资者大量购买的股票在接下来的一周内获得了可观的收益,而一周内大量出售的股票在随后的一周内获得了可怜的收益。这种模式总共持续三到四周,然后在随后的几周内反转。除了检查小型交易预测收益的能力之外,我们还研究大型交易的预测价值。与我们的小额交易结果形成鲜明对比的是,我们发现大量购买大笔交易的股票在一周后获得了较差的回报,而在一周内大量出售的股票在随后的一周中获得了丰厚的回报。

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