This chapter examines how Bitcoin came to secure a place as money at the margins of the global monetary system by focusing on the possibly most controversial question surrounding Bitcoin. It examines the topic of theorizing money. The chapter discusses the initial positioning of Bitcoin against the dominant money game. It develops the original three phases that defined the evolution of Bitcoin as a money game based on evaluation of recent journalist, academic, and governmental publications. The chapter summarizes how the Bitcoin money game changed and shifted since its inception, and how this might affect other existing money games. Bitcoin was initially positioned as a clear criticism of the two-level money system consisting of central banks and commercial banks. The chapter examines the development of the Bitcoin money game over time to understand how Bitcoin could prevail despite starting off without any institutional underpinning or political backing.
With the rise of the modern technologies and wide implementation of digital systems, establishment of cashless economy is perspective trend in Ukraine. In contrast to the traditional kinds of money, which can be considered as a payment facility in online deals too, smart currencies have advanced level of security from cybercrime. These factors induce new “e-money” epoch and “cryptocurrency” term is extensively discussed. The aim of the article is to justify the perspectives of using cryptocurrencies for payment operations guided by historic aspect of research. The study is based on the use of historic and analysis and synthesis methods of research. The principles of cryptocurrency functioning and the essence of “blockchain” technology are analyzed. Formed the potential possibilities of blockchain bank integration. Previous conditions of origin and main stages of cryptocurrency development are determined. The essence of digital currency is revealed and Its main kinds are described. The history of development and functioning of cryptocurrency is divided into seven periods. Its proved, that cryptocurrency is not a full-fledged money but highly liquid asset, which perspectives on a worlds capital market are undeniable.
INTRODUCTION Discrete-time, infinite-horizon, general equilibrium models are routinely used in macroeconomics and in public finance for exploring the quantitative features of model economies and for counterfactual policy analysis. With the development of powerful desktop computers, economists have started to use modern numerical methods for integration, interpolation, and for solving nonlinear systems of equations. Depending on the exact specification of the model – for example, whether there is one representative agent or several agents, whether agents are finitely lived or infinitely lived, or whether there is uncertainty in the model or not – there are various computational methods for approximating equilibria numerically. This paper focuses on computational methods for stochastic equilibrium models with heterogeneous agents and aggregate uncertainty where the welfare theorems fail and the equilibrium allocation cannot be decentralized by a simple (convex) social planner problem. These could be models with overlapping generations (as in, e.g., Krueger and Kubler, 2006; Favilukis et al., 2010; or Harenberg and Ludwig, 2014), models with heterogeneous producers (as in, e.g., Khan and Thomas, 2013 or Bloom et al., 2012), or models with infinitely lived heterogeneous consumers (as in, e.g, Bhandari et al., 2013; Brumm et al., 2015; Chien et al., 2011; Krueger et al., 2015; or McKay and Reis, 2013). There are many excellent surveys on the computation of equilibria in these models and we will discuss the most popular methods briefly below. Instead of comparing those methods in detail, the main part of this paper focuses on a particular high-performance computing (HPC) approach for solving models with large heterogeneity. This approach was first introduced in Brumm and Scheidegger (2017) and we will expand it in this paper to tackle models with overlapping generations and with idiosyncratic risk. Our approach makes use of two recent developments in scientific computing. First, advances in numerical analysis enable researchers to approximate very-high-dimensional functions. Employing standard discretization methods for the domain of such functions is computationally infeasible, as these approaches yield too many gridpoints at which the functions have to be evaluated.
This paper presents a simple game theoretic framework, assuming complete information, to model Bitcoin mining activity. It does so by formalizing the activity as an all-pay contest: a competition where participants contend with each other to win a prize by investing in computational power, and victory is probabilistic. With at least two active miners, the unique pure strategy Nash equilibrium of the game suggests the following interesting insights on the motivation for being a miner: while the optimal amount of energy consumption depends also on the reward for solving the puzzle, as long as the reward is positive the decision to be an active miner depends only on the mining costs. Moreover, the intrinsic structure of the mining activity seems to prevent the formation of a monopoly, because in an equilibrium with two miners, both of them will have positive expected profits for any level of the opponent’s costs. A monopoly could only form if the rate of return on investment were higher outside bitcoin.
We consider a game in which Bitcoin miners compete for a reward of each solved puzzle in a sequence of them. We model it as a sequential game with imperfect information, in which miners have to choose whether or not to report their success. We show that the game has a multiplicity of equilibria and we analyze the parameter constellations for each of them. In particular, the minimum requirement to find it optimal not to report is decreasing with the number of miners who are not reporting, and increasing the heterogeneity among players reduces the likelihood that they choose not to report.
Blockchain startups have embraced initial coin offerings (ICOs) as a vehicle to raise early capital. The crypto-tokens offered in these sales are intended to fill a widely varied set of roles on different platforms. Some tokens are similar to currencies, others are more like securities, and others have properties that are entirely new. Each company's technological vision calls for a token with unique properties and uses. The main point of this paper is that designing a successful token must take into account certain aspects of monetary theory, financial economics, and game theory. Failing to do so can put an otherwise excellent project at risk. We also explore what economics tells us about how to assess the value of tokens offered for sale, how startups should structure their ICOs, and what the implications of assigning various roles to tokens on a platform might be.
This conceptual research reflects the understanding of the wider and more coherent use of crypto-currencies and Blockchain' algorithms for the security and equity of operations. This is especially important for the transactions between the collective actors on different hierarchical positions, e.g., the State and private companies or associations, or individuals. The fog computing' hardware and software are helpful for the aims of improving taxation and ensuring reliability of any transactions. The neuron technologies provide creating and developing a multi-criteria assessment of assets or actions, which represent more correct system of affective and socially acceptable evaluations, than it can be calculated on the basis of the cognitive judgments. The ability to provide a high level of information security through systems like Etherium allows of building a reliable and transparent system of taxation and of regulation of all interactions between social, economic and political agents, including the financial and non-financial measurements.
Despite its increasing popularity, no official guidance on the financial reporting of Bitcoin transactions has been provided by standard setters, although tax accounting guidance began to appear in 2014. Designed as a decentralised currency, Bitcoin is not intended to become a reporting currency and will instead complement fiat money. We argue that in the case of Bitcoin the accounting principle of faithful representation requires interpretation of the economic substance for financial reporting that varies with reporting entity: trading firms recognise Bitcoin like a foreign currency and measure the revenue, or expense, at the equivalent amount of the reporting currency and digital currency exchanges recognise Bitcoin as goods in line with tax accounting treatment. An Economica paper by Radford (1945), which describes the use of cigarettes as commodity money in a prisoner of war camp alludes to this economic basis. This paper applies accounting principles to a practical issue and contributes to the process by which standard setters may issue an interpretation.
Payment services are in the frontline of the ongoing digital technology revolution. Financial technology (FinTech) companies are breaking boundaries and offering services such as digital cash, cognitive systems and distributed ledger technology to offer customers a more streamlined, user-friendly and cost-effective experience. Some traditional financial institutions are partnering with FinTech firms in an effort to be part of the digital revolution rather than be left behind. But such partnerships and experiments with financial technology products and services need to be managed carefully. This article discusses the current and future state of the payments innovation environment, key change drivers, disruptors, and considerations for a strategic transformative journey which balances speed of innovation with risk.
The Bitcoin is a peer-to-peer electronic payment system that operates as an independent currency. In this paper, we have examined whether the Bitcoin should be considered a currency according to the criteria widely used by economists. We argue that the Bitcoin does not behave much like major international currencies because the excessive volatility compared to other currencies changes. Our results show that usability of the Bitcoin has increased rapidly. It is traded on many exchanges. Yet, the future of the Bitcoin is still very uncertain.
The main topic of this thesis is Volatility of virtual currency Bitcoin. In theoretical part I will focus on significant historical milestones of Bitcoin. We are going to find out, if Bitcoin meets the criteria to be called good money, how is it with inflation and deflation in Bitcoin and what is and how mining works. Practical part is divided into three smaller analyses. The main part looks into fluctuation in the entire history of Bitcoin and attempts to seek for its causes. The second part examines the development of places, where it is possible to pay with Bitcoin. The last part is an inquiry into mining profitability under circumstances in February 2017.
The aim of this paper is to offer a theoretical primer in order to analyse the demand of a central bank digital currency (CBDC). Using a financial portfolio approach and assuming that individual preferences and policy votes are consistent, we identify the drivers of the political consensus in favour or against such as new currency. Given three different properties of a currency – where the first two are the standard functions of medium of exchange and store of value and the third one is the less explored function of store of information – and three different existing moneys – paper currency, banking currency and cryptocurrency – if the individuals are rational but at the same time can be affected by behavioural biases – loss aversion - three different groups of individuals – respectively lovers, neutrals and haters – emerge respect to the CBDC option. Given the alternative opportunity costs of the different currencies, the CBDC issuing is more likely to occur the more the individuals likes to use a legal tender, and/or are indifferent respect to anonymity; at the same time, the probability of the CBDC introduction increases if a return can be paid on it, and/or its implementation can guarantee at least the counterparty anonymity.
In spite of a still very low volume at the global level, in comparison with the main reserve currencies, digital currencies attract a lot of attention. The paper reminds that it is above all the exchange mechanism incorporated in digital currencies (the distributed ledger technology) which should contribute to their success. It is shown that a widespread use of these currencies is likely to materialize only under conditions that woulDeessentially leave unchanged the capacity of the central bank to pursue the same inflation target using the same instruments as today, by setting an interest rate level. However, some adjustments may have to be made to the definition of monetary aggregates and possibly also to the base and/or the ratios of reserve requirements. Even in the most extreme and unlikely scenario, where the central bank would issue CBDC the public would have access to and massively adopt, banks role in distributing credit would likely not be seriously impaired. Banks might rather have less direct information on their clients. They would possibly also become more dependent on central bank refinancing, which would call for a clear and pre-announced lending of last resort policy in order to limit moral hazard considerations.
Jonathan Chiu, Thorsten V. Koeppl, Chiu, Jonathan, Koeppl, Thorsten
How well can a cryptocurrency serve as a means of payment? We study the optimal design of cryptocurrencies and assess quantitatively how well such currencies can support bilateral trade. The challenge for cryptocurrencies is to overcome double-spending by relying on competition to update the blockchain (costly mining) and by delaying settlement. We estimate that the current Bitcoin scheme generates a large welfare loss of 1.4% of consumption. This welfare loss can be lowered substantially to 0.08% by adopting an optimal design that reduces mining and relies exclusively on money growth rather than transaction fees to finance mining rewards. We also point out that cryptocurrencies can potentially challenge retail payment systems provided scaling limitations can be addressed.
Bitcoin is a widely-spread payment instrument, but it is doubtful whether the proof-of-work (PoW) nature of the system is financially sustainable on the long term. To assess sustainability, we focus on the bitcoin miners as they play an important role in the proof-of-work consensus mechanism of bitcoin to create trust in the currency. Miners offer their services against a reward while recurring expenses. Our results show that bitcoin mining has become less profitable over time to the extent that profits seem to converge to zero. This is what economic theory predicts for a competitive market that has a single homogenous good. We analyze the actors involved in the bitcoin system as well as the value flows between these actors using the e3value methodology. The value flows are quantified using publicly available data about the bitcoin network. However, two important value flows for the miners, namely hardware investments and expenses for electricity power, are not available from public sources. Therefore, we contribute an approach to estimate the installed base of bitcoin hardware equipment over time. Using this estimate, we can calculate the expenses miner should have. At the end of our analysis period, the marginal profit of mining a bitcoin becomes negative, i.e., to a loss for the miners. This loss is caused by the consensus mechanism of the bitcoin protocol, which requires a substantial investment in hardware and significant recurring daily expenses for energy. Therefore, a sustainable crypto currency needs higher payments for miners or more energy efficient algorithms to achieve consensus in a network about the truth of the distributed ledger.
Abstract By declaring an item legal tender or making it publicly receivable, governments might generate sufficient demand to determine the medium of exchange. How do private actors launch a new money? There are two views in the literature. The first requires offering an item with a use value to some agents that is distinct from its role as a medium of exchange. The second suggests that agents might coordinate on an intrinsically useless item. With these views in mind, I survey the logs from the original bitcoin forum, bitcoin-list. I find that early participants in the bitcoin community understood the importance of coordination and took steps to coordinate users.
Shayan Eskandari, Jeremy Clark, Vignesh Sundaresan, Moe Adham
In this paper, we present Velocity, a decentralized market deployed on Ethereum for trading a custom type of derivative option. To enable the smart contract to work, we also implement a price fetching tool called PriceGeth. We present this as a case study, noting challenges in development of the system that might be of independent interest to whose working on smart contract implementations. We also apply recent academic results on the security of the Solidity smart contract language in validating our codes security. Finally, we discuss more generally the use of smart contracts in modelling financial derivatives.
Attempts to accurately measure the monetary velocity or related properties of Bitcoin have often attempted to either directly apply definitions from traditional macroeconomic theory or to use specialized metrics relative to the properties of the Blockchain such as bitcoin-days destroyed. In this paper, it is demonstrated that beyond being a useful metric, bitcoin-days destroyed has mathematical properties that allow one to calculate the average dormancy (time since last use in a transaction) of the bitcoins used in transactions over a given time period. In addition, transaction volume and average dormancy are shown to have unexpected significance in helping estimate the average size of the pool of traded bitcoins by virtue of the expression Little's Law, though only under limited conditions.