Incorporating ESG into optimal stock portfolios for the global timber & forestry industry
Hans Lööf (),
Maziar Sahamkhadam and
Andreas Stephan
No 490, Working Paper Series in Economics and Institutions of Innovation from Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies
Abstract:
This paper investigates how optimal portfolios of timber & forestry stocks perform relative to the global S&P timber & forestry index when corporate social responsibility (CSR) is considered. We incorporate CSR in the construction of optimal portfolios by utilizing environmental, social, and governance (ESG) scores. Historical as well as copula-augmented predictive models and ESG-constrained optimization are used to analyze out-of-sample performance of various portfolio strategies over the period 2018-2021. The results of copula-based portfolio strategies are better than of the historical models. Another insight gained by this study is that socially responsible investments in forestry stocks are feasible without sacrificing risk-adjusted returns.
Keywords: portfolio optimization; ESG; forestry stocks; return; risk; vine copula (search for similar items in EconPapers)
JEL-codes: G11 G12 G17 G32 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2022-02-16
New Economics Papers: this item is included in nep-cwa, nep-env and nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://static.sys.kth.se/itm/wp/cesis/cesiswp490.pdf Full text (application/pdf)
Related works:
Journal Article: Incorporating ESG into Optimal Stock Portfolios for the Global Timber & Forestry Industry (2023) 
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:hhs:cesisp:0490
Access Statistics for this paper
More papers in Working Paper Series in Economics and Institutions of Innovation from Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology, SE-100 44 Stockholm, Sweden. Contact information at EDIRC.
Bibliographic data for series maintained by Vardan Hovsepyan ().