EconPapers    
Economics at your fingertips  
 

Are traditional timing models well specified?

Luis Ferruz, Fernando Munoz and Maria Vargas

Applied Economics, 2011, vol. 43, issue 24, 3433-3440

Abstract: Traditional timing models are affected by several biases, which generate spurious timing and stock-picking coefficients. Academics have appointed different causes as the possible sources of these biases. A negative correlation between timing and stock-picking abilities arises as a consequence of the biases in traditional timing models. This article provides evidence for one bias commonly found in traditional timing models, which is related with options. We focus on this bias in view of the scant attention it has so far received in the literature. We believe one possible cause for this bias is the failure to include the cost of the option implicit in timing activities in the timing models, and on this basis, we opt for a corrected version of the Merton and Henriksson model (1981). This study therefore is a pioneer in the assessment of the magnitude of this bias and in the measurement of the impact of its correction on fund managers' results. Our results confirm both the existence of the bias and the correction of the problem when the cost of the option is included in timing models. The modified version of the Merton and Henriksson model, unlike the traditional model, reports positive timing and stock-picking coefficients, supporting the good performance by managers.

Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036841003636334 (text/html)
Access to full text is restricted to subscribers.

Related works:
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:taf:applec:v:43:y:2011:i:24:p:3433-3440

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036841003636334

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:applec:v:43:y:2011:i:24:p:3433-3440