Your browser doesn't support javascript.
Risk Connectedness Between Green and Conventional Assets with Portfolio Implications.
Naeem, Muhammad Abubakr; Karim, Sitara; Tiwari, Aviral Kumar.
  • Naeem MA; Accounting and Finance Department, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates.
  • Karim S; South Ural State University, Lenin Prospect 76, Chelyabinsk, Russian Federation 454080.
  • Tiwari AK; Nottingham University Business School, University of Nottingham, Malaysia, Semenyih, 43500 Selangor Malaysia.
Comput Econ ; : 1-29, 2022 Aug 05.
Article in English | MEDLINE | ID: covidwho-1982210
ABSTRACT
The increasing concerns of investors toward green bonds and their appealing nature of diversification has motivated the current research to study the risk connectedness between green and conventional assets spanning from August 2014 to December 2020. We first estimate the dynamic equi-correlations through DECO-GARCH. Next, we assess the dynamic and static risk connectedness in the median, extreme low, and extreme high quantiles arguing that spillovers vary across different time periods particularly during economically intense time periods. Finally, we analyzed the hedge ratio and hedge effectiveness between green bonds and other assets. We find that equi-correlations are intense during economic shocks such as the Shale oil crisis, Brexit, US interest rate hike, and COVID-19 pandemic. The volatility analysis at average, lower, and upper quantiles also validate time-varying attributes of green and conventional assets. Further, network figures of green and conventional assets identify potential diversification opportunities. Meanwhile, the hedge effectiveness indicates that green bonds are effective hedge for precious metals and cryptocurrencies. Our findings draw multiple implications for policymakers, green investors, financial market participants, and regulatory authorities regarding flight-to-safety during crisis times and maintaining a diverse portfolio to escape potential losses.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Comput Econ Year: 2022 Document Type: Article Affiliation country: S10614-022-10296-w

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Comput Econ Year: 2022 Document Type: Article Affiliation country: S10614-022-10296-w