Google Internet search activity and volatility prediction in the market for foreign currency

被引:93
|
作者
Smith, Geoffrey Peter [1 ]
机构
[1] Arizona State Univ, Dept Finance, WP Carey Sch Business, Tempe, AZ 85287 USA
来源
FINANCE RESEARCH LETTERS | 2012年 / 9卷 / 02期
关键词
Google insights for Search; ARCH (GARCH); Mixture of distributions hypothesis (MDH); Foreign currency; Foreign exchange; DISTRIBUTIONS HYPOTHESIS; EXCHANGE RATES; MIXTURE; TESTS; HETEROSKEDASTICITY; HETEROSCEDASTICITY; DEPENDENCE; NORMALITY; VARIANCE; MODEL;
D O I
10.1016/j.frl.2012.03.003
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
I study whether evolution in the number of Google Internet searches for particular keywords can predict volatility in the market for foreign currency. I find that data on Google searches for the keywords economic crisis + financial crisis and recession has incremental predictive power beyond the GARCH(1,1). These results support the mixture of distributions hypothesis in that volatility is linked to the stochastic rate at which information flows into the marketplace. These results also demonstrate the potential for Google to become a storehouse of information for financial markets. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:103 / 110
页数:8
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