We investigated the connectedness of the returns and volatility of clean energy stock, technology stock, crude oil, natural gas, and investor sentiment based on the time-varying parameter vector autoregressive (TVP-VAR) connectedness approach. The empirical results indicate that the average total connectedness is higher in the volatility system than in the return system. The investor sentiment has a weak impact on clean energy stock. Our results show that the dynamic total connectedness across assets in the system varies with time. Furthermore, the dynamic total connectedness increases significantly during financial turmoil. Dynamic total volatility connectedness is more sensitive to financial turmoil. By comparing the connectedness estimat...
We investigate stock market sectoral connectedness in India utilizing a time-varying parameter vecto...
This paper examines the aspect pertaining to the returns connectedness between renewable energy toke...
This paper analyses time-varying networks of clean and dirty cryptocurrencies with green and traditi...
Understanding the interactions among climate change, carbon emission allowance trading, crude oil an...
In this paper, we investigate the volatility spillover effect among the global commodity futures (in...
This paper examines the interconnection between four implied volatility indices representative of th...
The surmounted environmental and energy challenges have motivated this study to explore the connecte...
Using the quantile connectedness approach for the median, lower, and upper quantiles, we examine the...
Using monthly data from September 2004 to February 2020, this paper investigates the connectedness o...
In this article, we explore the dynamics of memory and the correlation structure in investor attenti...
2020 Elsevier B.V. This paper examines the time and frequency connectedness among electricity, carbo...
We examine the relationship between investor sentiment and connectedness patterns across global stoc...
We investigate connectedness between energy cryptocurrencies and common asset classes, including oil...
We use variance decompositions from high-dimensional vector autoregressions to characterize connecte...
The thesis presents a network model, where financial institutions form linkages at various investmen...
We investigate stock market sectoral connectedness in India utilizing a time-varying parameter vecto...
This paper examines the aspect pertaining to the returns connectedness between renewable energy toke...
This paper analyses time-varying networks of clean and dirty cryptocurrencies with green and traditi...
Understanding the interactions among climate change, carbon emission allowance trading, crude oil an...
In this paper, we investigate the volatility spillover effect among the global commodity futures (in...
This paper examines the interconnection between four implied volatility indices representative of th...
The surmounted environmental and energy challenges have motivated this study to explore the connecte...
Using the quantile connectedness approach for the median, lower, and upper quantiles, we examine the...
Using monthly data from September 2004 to February 2020, this paper investigates the connectedness o...
In this article, we explore the dynamics of memory and the correlation structure in investor attenti...
2020 Elsevier B.V. This paper examines the time and frequency connectedness among electricity, carbo...
We examine the relationship between investor sentiment and connectedness patterns across global stoc...
We investigate connectedness between energy cryptocurrencies and common asset classes, including oil...
We use variance decompositions from high-dimensional vector autoregressions to characterize connecte...
The thesis presents a network model, where financial institutions form linkages at various investmen...
We investigate stock market sectoral connectedness in India utilizing a time-varying parameter vecto...
This paper examines the aspect pertaining to the returns connectedness between renewable energy toke...
This paper analyses time-varying networks of clean and dirty cryptocurrencies with green and traditi...