The Covid-19 pandemic affected financial markets in several ways, influencing the dynamics of the relationships between asset classes. We investigate the connectedness between cryptocurrencies and international energy markets from 2018 to 2021 using the time-varying parameter vector autoregression approach. Net total directional connectedness suggests that the cryptocurrency and energy indexes had heterogeneous roles. Bitcoin and Ripple coin were the net receivers of shocks, while Ethereum switched from receiver to transmitter. The US energy market was a persistent net transmitter of shocks, while Asian energy markets were consistent net shock receivers. Pairwise connectedness reveals that cryptocurrencies can explain the volatility of the energy markets during the difficult period of the pandemic at the beginning of 2020. We provide insights for portfolio optimization and policy implications.
Ming Li, Wenyu Zhang, Meng Yang, Hongyong Liu · 7 authors
In the process of green power trading, green power reflects the value of electricity energy and green environment, and green certificates aim to reduce the pressure of new energy subsidies and guide the concept of green electricity consumption. In order to promote the integration of new energy through market-oriented mechanisms, ensure the basic income of new energy projects, reflect the environmental value of green electricity, promote the sustainable development of the new energy industry, and meet the needs of users for green electricity at the same time, this paper constructs a blockchain-based green electricity environmental value authentication and circulation method by using the characteristics of blockchain centralization, distributed ledger, consensus mechanism, and smart contract.
This study focuses to analyse the association between bitcoin and three prominent energy commodities (Oil, Gasoline and Natural gas) utilising quantile auto-regressive distributed lags (QARDL). The results indicated that energy prices hold a positive influence on the bitcoin market in long-run on extreme market conditions (bearish and bullish market state). In short-terms, the results failed to find the significant role of natural gas and gasoline prices in driving bitcoin returns. The findings of causality-in-quantile reported the presence of the uni-directional causal relationship from energy commodities to bitcoin. Interestingly, the findings reported that in bullish market, the causal link between crude oil and bitcoin exhibits feedback effect indicating that when the market is generating higher returns, both the critical variables drive the returns of each other. The outcomes have implication for investors regarding the relevance of energy commodities with bitcoin and their contribution in its valuation to support efficient risk management.
Shinta Amalina Hazrati Havidz, Ni Putu Indah Rahmadani, Priscilla Laura Aditya Tori
This research was conducted to determine whether gold and cryptocurrency (i.e., Bitcoin) can be used as safe haven assets for oil, wheat, stock index (SI), government bond (GB), Islamic stock (IS), and Islamic bond (IB) during the Russia-Ukraine war. We used panel quantile regression by utilizing extreme lower quantiles (i.e., 1%, 2.5%, 5%). It will only be recognized as a safe haven asset if it is negatively correlated with another asset during extreme adverse shocks. The data spans from 23 February 2021 – 25 July 2022 which covered the five largest economies in Europe and Asia (i.e., Germany, France, the UK, China, and Japan). The findings indicate that gold only acted as a safe haven asset for wheat, SI, and IS during the Russia-Ukraine war. Additionally, Bitcoin only serves as a safe haven asset for oil, wheat, SI, and GB during the Russia-Ukraine war.
This research paper explores the relationship between the global economic policy uncertainty index (GEPU) and Ethereum price.By employing the Hodrick-Prescott Filter Decomposition, the price of Ethereum is decomposed into a trend component, which reflects the increasingly wide usage, and the cyclical component, which shows its character as a safe haven asset and a speculative financial asset.By examining the relationship between the GEPU and the cyclical component of Ethereum, I find that GEPU Granger causes cyclical Ethereum, and they have a cointegration relationship.Their error correction models also demonstrate that cyclical Ethereum responds in the short-run to changes in GEPU and deviations from long-run equilibrium.The dynamics make the cyclical Ethereum converge towards their long-run equilibrium relationship.
We employ a novel framework to measure the asymmetric nexus between the cryptocurrency market and the carbon futures market based on different market conditions. Specifically, we use a quantile-on-quantile regression (QQR) approach to explore the correlation between cryptocurrencies (Bitcoin, Ethereum, and Ripple) and European Union Allowance (EUA) futures. We find that there is an asymmetric relationship between markets that is affected by different cryptocurrencies and market conditions. Overall, Bitcoin or Ethereum are positively correlated with the carbon market, while the results of Ripple are more complex. Under certain conditions, EUA futures can be a better hedge against cryptocurrency risk.
Environmental externalities from cryptomining may be large, but have not been linked causally to mining incentives. We exploit daily variation in Bitcoin price as a natural experiment for an 86 megawatt coal-fired power plant with on-site cryptomining. We find that carbon emissions respond swiftly to mining incentives, with price elasticities of 0.69-0.71 in the short-run and 0.33-0.40 in the longer run. A $1 increase in Bitcoin price leads to $3.11-$6.79 in external damages from carbon emissions alone, well exceeding cryptomining's value added (using a $190 social cost of carbon, but ignoring increased local air pollution). As cryptomining requires ever more computing power to mine a given number of blocks, our study highlights both the revitalization of US fossil assets and the potential value of financial industry accounting standards that incorporate cryptomining externalities.
This study estimates the environmental impacts of Bitcoin mining. Employing a top-down measurement approach, this paper assesses the carbon footprint of Bitcoin mining in China from 2017 to 2021. The findings reveal that mining activities during this period contributed to a total of 77.84 million tons of carbon dioxide emissions in China. By utilizing data at the provincial level, we find that the seasonal migration of Bitcoin mining pools will lead to regional power demand shocks in China. Additionally, this study predicts future carbon emissions from Bitcoin mining in China, projecting cumulative carbon dioxide emissions of 76.40 million tons and 722.18 million tons by 2030 and 2060 respectively, in the absence of any policy interventions. Based on these findings, this paper posits that governments worldwide should make efforts to restrict the carbon emissions from Bitcoin mining and opt for environmentally friendly technological methods to fundamentally alleviate Bitcoin's reliance on energy. The implication for central banks is that carbon emission should be taken into consideration when designing the central bank digital currencies (CBDCs).
This study examines dynamic connectedness linkages between precious metals, manufacturing metals, oil, natural gas, and Bitcoin. The Quantile-VAR methodology is utilised to identify causal spillovers from 2015 through 2022, where results demonstrate significantly stronger pairwise connectedness at extreme quantiles, where the gold-silver and copper-oil pairs exhibit the strongest linkages. Additionally, the overall dynamic connectedness is higher at the lowest and highest quantiles, particularly reinforced during inflationary periods. Copper is identified as the strongest generator of spillovers, followed by silver, nickel, and zinc. There are mixed findings when analysing gold and aluminium, whereas oil, natural gas, and Bitcoin are identified as net receivers. This study provides insight into commodities and cryptocurrency markets’ diversifying and hedging abilities during alternative economic and financial conditions.
Since the emergence of environmental federalism theory in the 1960s, the empirical research on it has been pursued by scholars, mainly focusing on whether a country’s environmental regulation should be centralized or decentralized. For a long time, countries have been actively exploring and putting environmental governance systems into practice for themselves, especially at present, in the face of multiple constraints of resources, environment, sustainable development power and other factors. How to build an appropriate environmental governance system and promote the level of green development by encouraging enterprises’ technological innovation is a practical problem to be solved urgently. Based on this, this paper constructs a new research framework of environmental decentralization—technological innovation—green total factor productivity (GTFP) and investigates the effect and mechanism of environmental decentralization on GTFP. The results show that environmental decentralization can reduce the quality of environmental information disclosure and inhibit the innovative output of enterprises, ultimately leading to the decrease of GTFP. Environmental decentralization has a spatial spillover effect on GTFP, which can promote GTFP in neighboring areas. This paper tries to enrich the research results of traditional environmental federalism theory, the “Porter Hypothesis”, and growth pole theory, and it provides a solution to enterprises’ financing constraint problem.
A K Das, Aryan Ramachandran, Ayush Thombare, Swarali Ghangurde
This paper examines the relationship between green bonds and cryptocurrencies that specifically follow the Proof-of-Stake consensus mechanism. A lot has been discussed about the positive bi-directional and asymmetric relationship between green bonds and bitcoins, the most widely known proof-of-work cryptocurrency and the ineffectiveness of green bonds as hedging instrument for bitcoins. In this study, the author has tried to check whether there is a relationship between green bonds and Proof-of-stake cryptocurrencies using the Vector Error Correction Model (VECM). The secondary data under consideration is the daily data of the S&P Green Bond Index (SPGB) to track the performance of relevant green bonds and the daily data of Solana and Cardano to track the performance of Proof-of-stake cryptocurrencies. It is found that there exists a negative long-term relationship between green bonds and the selected cryptocurrencies. The author also conducts a portfolio analysis to demonstrate how green bonds function as a useful risk-diversification tool in conjunction with cryptocurrencies that follow the proof-of-stake consensus mechanism.
With the continuous improvement of productivity, people's living standards have continued to rise, but the problem of income disparity has become increasingly serious. This article focuses on the income disparities in China's industry and study the impact of digital financial inclusion on the it. The income disparities between employees in 29 provinces in the China Statistical Yearbook was used for analysis, and the parameters were estimated by benchmark regression analysis. Based on the results of the study, it was found that digital financial inclusion had a large impact on the five decentralized industries selected. In view of these results, this paper analyzes the reasons and draws the reasons why digital finance has contributed to the reduction of the income gap in the industry.
In recent years, as cryptocurrency has been recognized by more people and the value of the cryptocurrency has increased, many people make money through mining. It leads to mining becoming popular but also creates serious environmental problems. Mining bitcoin will consume much electricity and thus emits more greenhouse gases such as carbon dioxide, which has caused worldwide environmental issues. This paper will focus on figuring out that mining bitcoin will cause how much carbon emission damage in China during these years. The result of this research will provide the change in carbon emission with time and the prediction of the carbon emission trend caused by bitcoin mining in the future. This result of the article aims to focus the society and the government's attention on the damage mining bitcoin does to the environment and also provide suggestions on the measures the governments should take to reduce the unessential energy cost of bitcoin mining.
Çalışmanın amacı, 03.01.2020 ile 28.02.2022 dönemi için üretim araçlarındaki gelişmenin bir başka veçhesi olan dijitalleşme ile kripto paralara yönelimin hızlanmasının geleneksel borsalara alternatif olup olmayacağını simetrik ve asimetrik nedensellik test yöntemleriyle incelemektir. Bu çerçevede simetrik nedensellik analiz sonuçlarına göre, BTC ve ETH fiyatlarından SP500, NASDAQ ve DOWJ fiyatlarına doğru bir nedensellik ilişkisi saptanmış, aynı zamanda VIX’ten BTC ve ETH’ye doğru bir nedensellik ilişkisi bulunmuştur. Asimetrik nedensellik analizi sonuçlarına göre SP500, NASDAQ, DOWJ ve Altın fiyatlarındaki negatif değişmelerden, BTC fiyatlarındaki pozitif değişmelere doğru bir nedensellik ilişkisi tespit edilmişken, NASDAQ ve DOWJ fiyatlarındaki pozitif değişmelerden ETH fiyatlarının pozitif değişmelerine doğru bir nedensellik ilişkisinin varlığına ulaşılmıştır. Son olarak kripto paralar arasındaki nedensellik ilişkisi sınandığında BTC fiyatlarındaki negatif değişimlerden ETH fiyatlarındaki pozitif değişimlere, ETH fiyatlarındaki negatif değişimlerden BTC fiyatlarındaki pozitif değişimlere doğru bir nedensellik ilişkisi tespit edilmiştir.
Bu çalışmanın amacı, Covid-19 sürecinde bir kripto para birimi olan Bitcoin’in; seçilmiş alternatif yatırım araçları (Brent Petrol, Altın, Etherium) ve seçilmiş göstergeler (Dow Jones, VIX, Covid-19 Google Trend aramaları) ile arasındaki uzun dönemli ilişkileri analiz etmektir. Bu amaç doğrultusunda çalışmada 23/02/2020-16/01/2022 dönemine ait haftalık verilerden yararlanılmıştır. Bitcoin fiyatları ile seçilmiş finansal göstergeler arasındaki uzun dönemli ilişkinin varlığı ise, ARDL Sınır Testi aracılığıyla sınanmıştır. Yapılan analiz neticesinde Bitcoin fiyatı ile seçilmiş finansal göstergeler arasında uzun dönemli bir ilişkinin varlığı tespit edilmiştir. Uzun dönem katsayılarından elde edilen sonuçlara göre, Bitcoin fiyatını en fazla etkileyen göstergelerin, Altın ve VIX endeksi olduğu bulgulanmıştır. Diğer yandan, Bitcoin fiyatları ile Brent Petrol ve Dow Jones endeksi arasında uzun dönemli bir ilişkiye rastlanılmamıştır. Kısa dönem hata düzeltme modelinin sonuçlarına bakıldığında, cari dönemde olası bir şok veya olumsuz senaryo neticesinde meydana gelecek dengesizliğin veya sapmanın bir sonraki dönemde (gelecek haftada veya haftalarda) %51’lik kısmının telafi edilebileceği bulgulanmıştır.
2007 yılında ABD`de başlayan `Mortgage Krizi` çok geçmeden bütün dünya ekonomisini 2008 yılında etkisi altına almıştır. Ülke ekonomilerinde oluşan kriz, finansal piyasalarda çöküş ve dijital ortamlarda gelişmeler sonucunda 2009 yılında ilk kripto para birimi olan Bitcoin’in ön plana çıkmasına yol açmıştır. Günümüzde yüksek piyasa değerine sahip olması, merkezi yönetim sisteminin olmaması, anonimliği ve sağladığı birçok avantajlar bakımından dikkatleri üzerine çekmiş ve geleneksel yatırım araçlarına rakip olup olmaması her zaman tartışma konusu olmuştur. Bu yüzden araştırmacılar tarafından Bitcoin ile ilgili farklı yaklaşımlar ve yöntemler kullanılarak çalışmalar yapılmıştır. Bu çalışmanın temel amacı Bitcoin fiyatı ile Yükselen Piyasa Ekonomileri`nin borsa endeksleri ve diğer önemli değişkenler arasında ilişkinin boyutu ve yönünün belirlenmesidir. Ayrıca Bitcoin`in geleneksel yatırım araçlarına alternatif mi yoksa bir balon mu olduğunu belirlemek amaçlanmıştır. Uygulanan testler sonucunda bazı Yükselen Piyasa Ekonomileri ülkelerinde Bitcoin ile borsa endeksleri ve diğer değişkenler arasında istatistiksel olarak anlamlı ilişki bulunmuştur ve o ülkeler için Bitcoin`in alternatif yatırım aracı olduğu sonucuna ulaşılmıştır.