Dynamic relationship between green bonds and major financial asset markets from the perspective of climate change

In recent years, changes in the climate environment have caused a considerable impact on the economy and finance, especially after the signing of the Paris Agreement decided to prevent the further increase in the earth's temperature and smoothly transformed into a low-carbon society, various markets have been affected to varying degrees, and at the same time, green bonds as an emerging environmental protection tool have sprung up and become the focus of many investors and researchers. The emergence and rise of eco-friendly investment opportunities such as green bonds is bound to have an impact on other markets, but little research has been done on their dynamic correlation with the U.S. stock market, crude oil and gold markets, especially in our current period of COVID-19 tensions, it is necessary to explore the dynamics between markets and the risk aversion of green bonds to climate change. In this paper, we study the dynamic correlation between three green investment vehicles (S&P Green Bond, China Green Bond, and Climate Bond) and three major markets, and explore whether the linkage between each market will be affected by economic risks and climate change risks by adding climate risk proxy indicators and economic policy uncertainties. This is not only of guiding significance for investors who are eco-friendly to judge the effectiveness of asset allocation and hedging in investment decisions, but also has certain reference for policymakers and market participants who want to achieve green investment, which will help the market to maintain a stable and smooth transition to a low-carbon economy in the event of pressure.

Analysis of the dynamic return and volatility connectedness for non-ferrous industrial metals during the COVID-19 pandemic crisis

PurposeThis paper aims to examine the dynamic return and volatility connectedness for six major industrial metals (tin, lead, nickel, zinc, copper and aluminium) and the coronavirus media coverage index (MCI).Design/methodology/approachTo that purpose, this study applies the fresh time-varying parameter vector autoregression methodology (TVP–VAR model) during the sample period between 2 January, 2020, and 16 April, 2021, that is, covering the three waves of the COVID-19 pandemic crisis.FindingsThis study's results show interesting findings. First, dynamic total return and volatility connectedness changes over time, highlighting a significant increase during the third wave of the pandemic. Second, the MCI index is a leading net transmitter in terms of return and volatility at the introduction of the SARS-CoV-2 coronavirus crisis. Third, this study clearly distinguishes two profiles among industrial metals: copper and tin/zinc as net transmitters and lead and aluminium as net receivers. Finally, the most relevant differences between them are concentrated not only at the beginning of the COVID-19 pandemic (first wave) but also during the second and third waves of the coronavirus outbreak.Originality/valueTo the best of the authors' knowledge, this is the first research that explores the dynamic return and volatility connectedness in the industrial metal market, applying the TVP–VAR methodology during the first waves of the COVID-19 pandemic crisis.

Modeling the Linkages between Bitcoin, Gold, Dollar, Crude Oil, and Stock Markets: A GARCH-EVT-Copula Approach

This paper aims to analyze and compare the ability of bitcoin, gold, and dollar to diversify the risk of traditional market such as crude oil and stock markets. Specifically, we model the linkages between bitcoin, gold, dollar, crude oil, and stock markets using the GARCH-EVT-copula approach. The results show that the gold market is in the central position among these markets, which is consistent with the status of gold as a major safe asset. Before the outbreak of COVID-19, bitcoin and the dollar also had the ability to diversify risks, although less effective than gold. However, during the COVID-19 period, gold loses its dominant position and gold, bitcoin, and dollar can no longer act as a hedge. We measure the value at risk (VaR) and expected shortfall (ES) of simulated portfolios constructed based on these five markets and use several backtesting methods to check the validity of the risk measures. The backtesting results show that our model can provide accurate risk measures before and within the COVID-19 period, which may help investors and risk managers construct the optimal portfolios. [ FROM AUTHOR] Copyright of Discrete Dynamics in Nature & Society is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis.

This paper uses time-frequency analysis, including wavelet analysis and time-frequency domain causality, to evaluate the relationship between public attention to the COVID-19 pandemic, crude oil, and gold markets in the G7 countries over time and frequency. Empirical findings show that WTI oil lead gold returns during the COVID-19 outbreak, and vice versa when Omicron spread. The relationship between public attention to the COVID-19 and WTI oil/gold markets appears to be heterogeneous for G7 countries. European public attention caused by the COVID-19 outbreak has a strong impact on gold returns at the 32-64 day frequency, while public attention generated by Omicron has a significant effect on WTI oil returns at 4-128 day frequency. The public in the US and Canada is more concerned about the global stock and WTI oil markets slump than the COVID-19 pandemic. The Italian public seems to be the most sensitive to the EU's economic support plan. The heterogeneity of the public attention-oil/gold nexus in the G7 implies that portfolio diversification across markets and investment horizons may be extremely beneficial.

Analysis of the Idiosyncratic Risk Characteristics from Commodity Markets

The main purpose of this study is to explore the commodity characteristics of crude oil market and gold market, and use CBP-GARCH model to capture whether there is instantaneous co-jump variation between the two markets when unexpected information occurs. The empirical results show that there is a phenomenon of volatility clustering between commodity markets. When the interest rate spread of stock market and long-term and short-term bonds expands, it has a significant impact on gold, but not in crude oil commodities, showing that there are different linkage between commodity market and financial market. In addition, when there is a transmission of market information, the jump intensity of crude oil will be higher than that of gold market, and there are instantaneous co-jump variation characteristics. This phenomenon can be attributed to the fact that the crude oil market is affected by market supply and demand, and the gold market plays a mixed characteristic of hedging and investment. Therefore, the empirical results of this study also suggest that investors should consider the asymmetric jump fluctuation variation between commodity markets when the market unexpected information is generated, so as to effectively control the risk degree in the portfolio.

Determinants of Gold Price in Thailand

Though gold plays a significant role in the financial market, monetary policy, and jewelry, pharmaceutical and electronic industries, its price is often volatile. This study aims to examine the relationship between macroeconomic variables such as exchange rate, interest rate, consumer price index, and financial indicators like the stock exchange of Thailand (SET Index) and bond index with gold prices, and investigate the factors influencing the gold prices in Thailand. This study employs dataset from May 2006 to May 2021, including 1.5 years of the Covid-19 pandemic period. The findings reveal that there is a relationship between exchange rate, interest rate, consumer price index, SET Index, and bond index with gold prices in Thailand, and this holds good during the period of Covid pandemic also. Finally, all the participants in the gold market should consider these factors before entering the market, which would assist them in achieving their investment goals.

Price and volatility spillovers between global equity, gold, and energy markets prior to and during the COVID-19 pandemic.

This study sets out to provide fresh evidence on the dynamic interrelationships, at both return and volatility levels, between global equity, gold, and energy markets prior to and during the outbreak of the novel coronavirus. We undertake our analysis within a bivariate GARCH(p, q) framework, after orthogonalizing raw returns with respect to a rich set of relevant universal factors. Under the COVID-19 regime, we find bidirectional return spillover effects between equity and gold markets, and unidirectional mean spillovers from energy markets to the equity and gold counterparts. The results also suggest the presence of large reciprocal shock spillovers between equity and both of energy and gold markets, and cross-shock spillovers from energy to gold markets. Most probably driven by the recent oil price collapse, energy markets appear to have a substantial cross-volatility spillover impact on the others. Our results offer implications for policymakers and investors.