Multiscale Systematic Risk: Empirical Evidence from Pakistan
Syed Jawad Hussain Shahzad
International Journal of Economics and Empirical Research (IJEER), 2015, vol. 3, issue 12, 605-615
Abstract:
Purpose: This study utilizes the wavelet approach namely Maximal Overlap Discrete Wavelet Transform (MODWT) to examine the multiscale risk-return relationship for Pakistan stock market. Methodology: The method enables scale-by-scale analysis of CAPM validity and heterogeneous market expectations. Findings: Our sample consists of 117 firms listed at Karachi stock exchange for the period January 1, 2006 to December 31, 2013. The empirical findings show that the riskreturn relationship is linear at higher (16-128 days) scales and average daily market risk premium is 23.8%. Recommendations: The study, consistent with literature, concludes that systematic risk is a multiscale phenomenon.
Keywords: CAPM; Multiscale systematic risk; Pakistan (search for similar items in EconPapers)
JEL-codes: G1 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://tesdo.org/shared/upload/pdf/papers/IJEER,%203_12_,%20605-615.pdf (application/pdf)
https://tesdo.org/journal_detail.php?paper_id=239&expand_year=2015 (text/html)
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:ijr:journl:v:3:y:2015:i:12:p:605-615
Access Statistics for this article
International Journal of Economics and Empirical Research (IJEER) is currently edited by Dr. Muhammad Shahbaz (PhD Applied Economics)
More articles in International Journal of Economics and Empirical Research (IJEER) from The Economics and Social Development Organization (TESDO) Contact information at EDIRC.
Bibliographic data for series maintained by Dr. Muhammad Shahbaz (PhD Applied Economics) ( this e-mail address is bad, please contact ).