What Factors Drive Trading around the World?

Ying Wu
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Abstract

This paper examines the implications of Lo and Wang’s (2000, 2006) mutual fund separation model in the cross-sectional behavior of global trading activity. It demonstrates that return-based factors work poorly around the world. On average across countries, market-wide turnover accounts for 37% of all systematic turnover components in individual stock trading, and two additional Fama and French (1993) factor turnovers increase the explanatory power by 23%. Similarly Lo and Wang’s (2000) turnovers account for on average only 64% of all systematic turnover components. Using this multifactor asset pricing-trading framework, a horse race is further performed to explore other factors in return which are important for explaining the common variation in turnover. All the return-based factors account for at most 67% of the common variation in trading, suggesting that stock pricing and trading volume may not be compatible around the world. In a cross-country analysis, the explanatory power of the return-based factor model varies substantially across countries and markets, with better performance for developed European markets and China. Surprisingly, in North America, Japan, and most emerging markets there are larger amounts of commonality in trading, usually higher than 47%, for reasons other than return motive.
哪些因素推动全球贸易?
本文考察了Lo和Wang(2000,2006)共同基金分离模型在全球交易活动横截面行为中的含义。这表明,以回报为基础的因素在全球范围内效果不佳。各国平均而言,市场范围内的周转率占个人股票交易中所有系统周转率组成部分的37%,另外两个Fama和French(1993)因素周转率使解释力增加了23%。同样,Lo和Wang(2000)的流失率平均只占所有系统流失率组成部分的64%。使用这种多因素资产定价交易框架,进一步进行赛马以探索其他因素,这些因素对于解释周转率的共同变化很重要。所有以回报为基础的因素最多占交易中常见变化的67%,这表明股票定价和交易量可能在全球范围内不兼容。在跨国分析中,基于回报的因素模型的解释能力在不同的国家和市场上差异很大,在发达的欧洲市场和中国表现更好。令人惊讶的是,在北美、日本和大多数新兴市场,出于回报动机以外的原因,交易中的共性比例通常高于47%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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