Is real estate a real diversifier in Pakistan? An ARDL approach

Hafsa Rasheed, Habib Ahmad, Attiya Javid and Idrees Khawaja

Cogent Business & Management, 2022, vol. 9, issue 1, 2082013

Abstract: Traditional assets, like stocks and bonds, are mostly found to be highly influenced by uncertainties, and cause distress for investors most of the time, consequently investors look for safe investment options that can provide diversification benefits to cope with uncertainties. So, current research unveils the diversification characteristics of real estate by investigating its relationship with a set of selected financial assets like KSE-100 index, gold, sub-asset classes; growth stocks, value stocks, large stocks, small stock, and sector’s stock. Autoregressive distributive lag (ARDL) approach is employed on monthly time series data for a time span of 2011 to 2019. Findings indicate that real estate behaves quite differently than all of these assets and holds good diversification potential for Pakistani investors because it exhibits no relationship with any of the assets under study. Findings suggest that Pakistani investors must incorporate real estate in their asset allocation strategy for diversifying their portfolios. Current research contributes to literature by unveiling the diversification potential of real estate in comparison to a set of financial variables that are rarely investigated in previous literature. Moreover, it contributes well to the knowledge of Pakistani investors and asset/investment managers to make healthy investment decisions.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23311975.2022.2082013 (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:oabmxx:v:9:y:2022:i:1:p:2082013

Ordering information: This journal article can be ordered from
http://cogentoa.tandfonline.com/journal/OABM20

DOI: 10.1080/23311975.2022.2082013

Access Statistics for this article

Cogent Business & Management is currently edited by Len Tiu Wright and Tahir Nisar

More articles in Cogent Business & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().