Does price efficiency increase with trading volume? Evidence of nonlinearity and power laws in ETFs

被引:6
作者
Caginalp, Gunduz [1 ]
DeSantis, Mark [2 ]
机构
[1] Univ Pittsburgh, Dept Math, 301 Thackeray Hall, Pittsburgh, PA 15260 USA
[2] Chapman Univ, Argyros Sch Business & Econ, One Univ Dr, Orange, CA 92866 USA
关键词
Volume; Nonlinearity; Scaling laws; Cross-over behavior; Price efficiency; Volatility; CROSS-SECTION; INVESTOR SENTIMENT; STOCK RETURNS; MARKET; BEHAVIOR; TIME;
D O I
10.1016/j.physa.2016.10.039
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Whether efficiency increases with increasing volume is an important issue that may illuminate trader strategies and distinguish between market theories. This relationship is tested using 124,236 daily observations comprising 68 large and liquid U.S. equity exchange traded funds (ETFs). ETFs have the advantage that efficiency can be measured in terms of the deviation between the trading price and the underlying net asset value that is reported each day. Our findings support the hypothesis that the relationship between volume and efficiency is nonlinear, Indeed, efficiency increases as volume increases from low to moderately high levels, but then decreases as volume increases further. The first part tends to support the idea that higher volume simply facilitates transactions and maintains efficiency, while the latter part, i.e., even higher volumes, supports the ansatz that increased volume is associated with increased speculation that ignores valuation and decreases efficiency. The results are consistent with the hypothesis that valuation is only part of the motivation for traders. Our methodology accounts for fund heterogeneity and contemporaneous correlations. Similar results are obtained when daily price volatility is introduced as an additional independent variable. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:436 / 452
页数:17
相关论文
共 31 条
[1]  
Ackert LucyF., 2008, FINANCIAL MARKETS I, V17, P331, DOI DOI 10.1111/J.1468-0416.2008.00144.X
[2]   Illiquidity and stock returns: cross-section and time-series effects [J].
Amihud, Y .
JOURNAL OF FINANCIAL MARKETS, 2002, 5 (01) :31-56
[3]  
Anderson S C., 2002, Closed-End Fund Pricing: Theories and Evidence
[4]  
[Anonymous], WORKING PAPER
[5]   Investor sentiment in the stock market [J].
Baker, Malcolm ;
Wurgler, Jeffrey .
JOURNAL OF ECONOMIC PERSPECTIVES, 2007, 21 (02) :129-151
[6]   Investor sentiment and the cross-section of stock returns [J].
Baker, Malcolm ;
Wurgler, Jeffrey .
JOURNAL OF FINANCE, 2006, 61 (04) :1645-1680
[7]  
Bodie Z., 2008, INVESTMENTS, V7th
[8]   Efficiency and the bear: Short sales and markets around the world [J].
Bris, Arturo ;
Goetzmann, William N. ;
Zhu, Ning .
JOURNAL OF FINANCE, 2007, 62 (03) :1029-1079
[9]   The nonlinear price dynamics of US equity ETFs [J].
Caginalp, Gunduz ;
DeSantis, Mark ;
Sayrak, Akin .
JOURNAL OF ECONOMETRICS, 2014, 183 (02) :193-201
[10]  
Davidson R., 1993, Estimation and Inference in Econometrics, V63