Portfolio diversification benefits of alternative currency investment in Bitcoin and foreign exchange markets

This study examines the portfolio diversification benefits of alternative currency trading in Bitcoin and foreign exchange markets. The following methods are applied for the analysis: the spillover index method of Diebold and Yilmaz (Int J Forecast 28(1): 57–66, 2012. 10.1016/j.ijforecast.2011.02.006), the spillover asymmetry measures of Barunik et al. (J Int Money Finance 77: 39–56, 2017. 10.1016/j.jimonfin.2017.06.003), and the frequency connectedness method of Barunik and Křehlík (J Financ Econom 16(2): 271–296, 2018. 10.1093/jjfinec/nby001). The findings identify the presence of low-level integration and asymmetric volatility spillover as well as a dominant role of short horizon spillover among Bitcoin markets and foreign exchange pairs for six major trading currencies (US dollar, euro, Japanese yen, British pound sterling, Australian dollar, and Canadian dollar). Bitcoin is found to provide significant portfolio diversification benefits for alternative currency foreign exchange portfolios. Alternative currency Bitcoin trading in euro is found to provide the most significant portfolio diversification benefits for foreign exchange portfolios consisting of major trading currencies. The findings of the study regarding spillover dynamics and portfolio diversification capabilities of the Bitcoin market for foreign exchange markets of major trading currencies have significant implications for portfolio diversification and risk minimization.

Bitcoin: an alternative currency to pay for goods and services or a useful investment tool?

Research background: Bitcoin is defined as digital money in a peer-to-peer decentralized payment network, an amalgam hybrid between fiat and commodity currency without a real value. This digital currency is also independent of any government or currency administration. Purpose of the article: This article explores whether bitcoin works as a medium of exchange or relates to assets, focusing on its current use and future utility regarding its characteristics. Methods: Analysing bitcoin statistical features, we found no connection with traditional asset categories such as stock, bonds and commodities either in intermediate time, or periods of financial crises. Findings & Value added: The study suggests that investors’ abiding interest in bitcoins can have a positive impact on their liquidity in the real time.

A partial organization approach to the dynamics of social order in social movement organizing

This article builds on the theoretical notion that social order in organized settings is both emergent and decided. It examines the dynamics of emergent and decided social order in a timebank, a local community initiative within the alternative currency social movement. The authors propose that organized settings are in practice associated with a continuously evolving blend of elements of both decided and emergent social order; thus, allowing organizing to evolve over time. Shedding light on the broader puzzle of how social order in organized settings evolves, the authors empirically show how organizational dynamics change through the interplay of networks, institutions and decisions, as participants adopt and reject various elements of emergent and decided sources of social order. In their analysis, the authors combine content analysis and social network analysis of archival data to describe and explain dynamic and inherently relational organizing activities that unfold in the community’s day-to-day interactions.

Mine the gap: Bitcoin and the maintenance of trustlessness

Subscribing to a techno-utopian discourse replacing institutions and experts with “trust in code,” digital alternative currency Bitcoin is pitched as a “math-based money” governed by incorruptible code rather than human regulators. In three cases, which occurred between 2013 and 2015, we examine this system at moments of breakdown. In contrast to the discourse, we find that power is concentrated to critical sites and individuals who manage the system through ad hoc negotiations, and who users must therefore implicitly trust—a contrast we call Bitcoin’s “promissory gap.” But even in the face of such contradictions between premise and reality, the discourse is maintained. We identify four authorizing strategies used in this work: conflating people with devices, assuming actors conform to notions of economic rationality, appealing to technical expertise, and explaining contradictions as temporary bugs. We contend that these strategies are mobilized widely to legitimize a variety of applications of algorithmic regulation and peer production projects.

Sentimental analysis on social media data using R programming

Sentimental Analysis is an ongoing research field in Text Mining Arena to determine the situation of market on particular entity such as Product, Services...Etc. and it can be called as computational treatment of reviews, subjectivity and sentiment of text. Cryptocurrency can be explained as a type of digital estate and devised to mechanize as a form of trade and exchanges that uses cryptography as an encryption technique to secure the transactions and acts as decentralized controlled transaction which is opposed to centralized transactions. Cryptocurrency are a type of virtual currency, digital currency and alternative currency, On basis of categorical, there are different architecture and security protocols which are used in the cryptocurrencies to secure transactions, the different types of cryptocurrency are available in the market such as Bitcoin, Litecoin, and Namecoin…etc. This paper focuses on survey on different types of sentimental analysis methods and main contribution of this paper include sentimental analysis of social media data on different types of cryptocurrencies on basis of categorical and different terms of cryptocurrency such as Cryptocurrency, virtual currency, digital currency and discussed on trends of crypto currency in present market.