EconPapers    
Economics at your fingertips  
 

Detection of Financial Time Series Turning Points: A New CUSUM Approach Applied to IPO Cycles

David Blondell, Philip Hoang, John G. Powell and Jing Shi

Review of Quantitative Finance and Accounting, 2002, vol. 18, issue 3, 293-315

Abstract: This paper presents a new Cumulative Sum approach for the detection of turning points in financial time series that are subject to cyclical mean level and volatility regime shifts. The new CUSUM approach is applied to the problem of detecting turning points in "hot issue" markets for Initial Public Offerings (IPOs), thus providing a multi-dimensional characterization of states of the IPO cycle. Copyright 2002 by Kluwer Academic Publishers

Date: 2002
References: Add references at CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://journals.kluweronline.com/issn/0924-865X/contents link to full text (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:kap:rqfnac:v:18:y:2002:i:3:p:293-315

Ordering information: This journal article can be ordered from
http://www.springer.com/finance/journal/11156/PS2

Access Statistics for this article

Review of Quantitative Finance and Accounting is currently edited by Cheng-Few Lee

More articles in Review of Quantitative Finance and Accounting from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:rqfnac:v:18:y:2002:i:3:p:293-315