EconPapers    
Economics at your fingertips  
 

An Empirical Model of Daily Highs and Lows

Yin-Wong Cheung

No 1695, CESifo Working Paper Series from CESifo

Abstract: We construct an empirical model for daily highs and daily lows of US stock indexes based on the intuition that highs and lows do not drift apart over time. Our empirical results show that daily highs and lows of three main US stock price indexes are cointegrated. Data on openings, closings, and trading volume are found to offer incremental explanatory power for variations in highs and lows within the VECM framework. With all these variables, the augmented VECM models explain 40% to 50% of variations in daily highs and lows. The generalized impulse response analysis shows that the responses of daily highs and daily lows to the shocks depend on whether data on openings, closings, and trading volume are included in the analysis.

Keywords: high; low open; close; trading volume; VECM model (search for similar items in EconPapers)
Date: 2006
New Economics Papers: this item is included in nep-fin and nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.cesifo.org/DocDL/cesifo1_wp1695.pdf (application/pdf)

Related works:
Journal Article: An empirical model of daily highs and lows (2007) Downloads
Working Paper: An Empirical Model of Daily Highs and Lows (2006) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_1695

Access Statistics for this paper

More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().

 
Page updated 2025-03-19
Handle: RePEc:ces:ceswps:_1695