Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Zonder onderwerpscode: economie

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In this paper, we provide detailed analyses of the Bitcoin network and its main participants. We build a novel database using a large number of public and proprietary sources to link Bitcoin addresses to real entities and develop an extensive suite of algorithms to extract information about the behavior of the main market participants. We conduct three major pieces of analysis of the Bitcoin eco-system. First, we analyze the transaction volume and network structure of the main participants on the blockchain. Second, we document the concentration and regional composition of the miners which are the backbone of the verification protocol and ensure the integrity of the blockchain ledger. Finally, we analyze the ownership concentration of the largest holders of Bitcoin.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Greener economic development in Russia will allow the country to overcome the limits of its current fossil fuel-dependent growth model. It can deliver prosperity to Russia's citizens that is more sustainable and more resilient to external shocks in a rapidly changing global economy. The choices toward carbon neutrality made by an increasing number of countries and companies bring a new wave of uncertainty to the value of fossil fuel assets. This uncertainty is likely to result in lower and more volatile revenue from exports of hydrocarbons and energy-intensive industrial products.

Carbon Policy and Trading --- Climate Change Mitigation and Green House Gases --- Energy --- Energy Demand --- Environment --- Environment and Energy Efficiency --- Environmental Economics and Policies

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Trading in cryptocurrencies has grown rapidly over the last decade, primarily dominated by retail investors. Using a dataset of 200,000 retail traders from eToro, we show that they have a different model of the underlying price dynamics in cryptocurrencies relative to other assets. Retail traders in our sample are contrarian in stocks and gold, yet the same traders follow a momentum-like strategy in cryptocurrencies. Individual characteristics do not explain the differences in how people trade cryptocurrencies versus stocks, suggesting that our results are orthogonal to differences in investor composition or clientele effects. Furthermore, our findings are not explained by inattention, differences in fees, or preference for lotterylike stocks. We conjecture that retail investors hold a model of cryptocurrency prices, where price changes imply a change in the likelihood of future widespread adoption, which in turn pushes asset prices further in the same direction.