Green Bonds and Asset Classes: New Evidence from Time-varying Copula and Transfer Entropy Models

2021 ◽  
pp. 097215092110340
Author(s):  
Ngo Thai Hung
Keyword(s):  
Clean Energy ◽  
Bond Market ◽  
Transfer Entropy ◽  
Time Varying ◽  
Causal Association ◽  
Dynamic Correlations ◽  
Standard And Poor's ◽  
Conditional Time ◽  
Asset Classes ◽  
New Evidence

The green bond market has gradually developed worldwide since its debut in 2007 and is viewed as a new form of investment. This study explores the time-varying interdependence between green bond and conventional asset classes, namely Bitcoin price, Standard and Poor’s (S&P) 500, Clean Energy Index, Goldman Sachs Commodity Index (GSCI) Commodity Index and 10-year US bond spanning from May 2013 to December 2019, using both time-varying copula and transfer entropy models. We first focus on static and dynamic correlations between the green bond and other assets, and then identify the causal association among them. The findings suggest that green bonds and other assets have conditional time-varying dependence, and dependence is relatively low. Using transfer entropy, further evidence is gained for causal associations between two variables, which is depicted by two categories like mono-direction and bi-direction. Such nexus reveals the transmitter and receiver of return innovations on these markets. These findings make a considerable contribution to policymakers and environmentally friendly investors with green bond positions.

scholarly journals Effective transfer entropy to measure information flows in credit markets

2021 ◽  
Author(s):  
Nicoló Andrea Caserini ◽  
Paolo Pagnottoni
Keyword(s):  
Credit Risk ◽  
Bond Market ◽  
Small Sample ◽  
Transfer Entropy ◽  
Information Flows ◽  
Directional Information ◽  
Crisis Period ◽  
Model Free ◽  
Effective Transfer ◽  
Sovereign Bond Markets

AbstractIn this paper we propose to study the dynamics of financial contagion between the credit default swap (CDS) and the sovereign bond markets through effective transfer entropy, a model-free methodology which enables to overcome the required hypotheses of classical price discovery measures in the statistical and econometric literature, without being restricted to linear dynamics. By means of effective transfer entropy we correct for small sample biases which affect the traditional Shannon transfer entropy, as well as we are able to conduct inference on the estimated directional information flows. In our empirical application, we analyze the CDS and bond market data for eight countries of the European Union, and aim to discover which of the two assets is faster at incorporating the information on the credit risk of the underlying sovereign. Our results show a clear and statistically significant prominence of the bond market for pricing the sovereign credit risk, especially during the crisis period. During the post-crisis period, instead, a few countries behave dissimilarly from the others, in particular Spain and the Netherlands.

scholarly journals Do Investors Pay Yield Premiums On Green Bonds?

2020 ◽  
Vol 14 (2) ◽  
pp. 7-21
Author(s):  
Anna Mikhaylova ◽  
Irina Ivashkovskaya
Keyword(s):  
Emerging Markets ◽  
Large Scale ◽  
High Growth ◽  
Bond Market ◽  
Environmental Concerns ◽  
Public Authorities ◽  
Developed Markets ◽  
Financial Research ◽  
New Evidence ◽  
Bid Ask Spreads

Global shifts in perspectives on environmental concerns and the growing significance of large-scale sustainabilityprograms have brought the issue of green financing to the fore of financial research. In terms of volume, this area hasdemonstrated high growth rates in various types of capital markets.Unfortunately, few studies exist which explore the yields on green bonds in emerging markets in comparison todeveloped ones. As such, in this paper, we contribute new evidence to the field of green financing and outline severalmajor differences between green issues in these types of capital markets.We study yield premiums of green bonds on a sample of 2,450 green issues and comparable traditional bonds over theperiod from 2008 to March 2020. We contribute to the literature by new empirical evidence on green financing.Our results provide evidence of small but statistically significant negative premiums on green bonds of 23,4%1 comparedto the expected yields for standard issues. We also show that the negative premium on green bonds is more pronouncedin developed markets (- 27%2) than in emerging ones (18%3). Moreover, we provide new evidence on the negativepremium-liquidity relationship. Our research concludes that negative premiums are related to a higher level of liquidity:green bonds have lower bid-ask spreads and a higher level of liquidity than traditional ones.These conclusions can assist investors, potential issuing companies, and public authorities in achieving a betterunderstanding of the current situation of the green bond market in global terms.

scholarly journals The Rate of Return on Everything, 1870–2015*

2019 ◽  
Vol 134 (3) ◽  
pp. 1225-1298 ◽  
Author(s):  
Òscar Jordà ◽  
Katharina Knoll ◽  
Dmitry Kuvshinov ◽  
Moritz Schularick ◽  
Alan M Taylor
Keyword(s):  
Growth Rate ◽  
Rate Of Return ◽  
Annual Data ◽  
Real Rate ◽  
Data Set ◽  
Long Run ◽  
Advanced Economies ◽  
New Findings ◽  
Asset Classes ◽  
New Evidence

Abstract What is the aggregate real rate of return in the economy? Is it higher than the growth rate of the economy and, if so, by how much? Is there a tendency for returns to fall in the long run? Which particular assets have the highest long-run returns? We answer these questions on the basis of a new and comprehensive data set for all major asset classes, including housing. The annual data on total returns for equity, housing, bonds, and bills cover 16 advanced economies from 1870 to 2015, and our new evidence reveals many new findings and puzzles.

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