Etienne Capron, Dominique Sagot-Duvouroux, R. Suire
This article aims to study the role of places and events in the structuring of a community of innovation whose practice is at the crossroads of art and tech - videomapping. Based on an exploratory case study, we observe the relationships between the different actors who form subgroups, sharing a common interest in a techno-creative practice - but whose collective innovation dynamic is only in its beginnings. We also document the usage of places and events in their intermediation role for these subgroups. This reveals preferential circulations - patterns of moves among a set of focal locations in the city for a community – and the crucial role of these locations in creative communities emergence.
{"title":"Anatomy of a Techno-Creative Community – The Role of Places and Events in the Emergence of Videomapping in Nantes","authors":"Etienne Capron, Dominique Sagot-Duvouroux, R. Suire","doi":"10.2139/ssrn.3636403","DOIUrl":"https://doi.org/10.2139/ssrn.3636403","url":null,"abstract":"This article aims to study the role of places and events in the structuring of a community of innovation whose practice is at the crossroads of art and tech - videomapping. Based on an exploratory case study, we observe the relationships between the different actors who form subgroups, sharing a common interest in a techno-creative practice - but whose collective innovation dynamic is only in its beginnings. We also document the usage of places and events in their intermediation role for these subgroups. This reveals preferential circulations - patterns of moves among a set of focal locations in the city for a community – and the crucial role of these locations in creative communities emergence.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123942310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper we take an empirical asset pricing perspective and investigate the dominant view (possibly, an instinctive reflection of the media hype surrounding the surge of Bitcoin valuations) that cryptocurrencies represent a new asset class, spanning risks and payoffs sufficiently different from the traditional ones. Methodologically, we rely on a flexible dynamic econometric model that allows not only time-varying coefficients, but also allow that the entire forecasting model be changing over time. We estimate such model by looking at the time variation in the exposures of major cryptocurrencies to stock market risk factors (namely, the six Fama French factors), to precious metal commodity returns, and to cryptocurrency-specific risk-factors (namely, crypto-momentum, a sentiment index based on Google searches, and supply factors, i.e., electricity and computer power). The main empirical results suggest that cryptocurrencies are not systematically exposed to stock market factors, precious metal commodities or supply factors with the exception of some occasional spikes of the coecients during our sample. On the contrary, crypto assets are characterized by a time-varying but significant exposure to a sentiment index and to crypto-momentum. Despite the lack of predictability compared to traditional asset classes, cryptocurrencies display considerable diversification power in a portfolio perspective and as such they can lead to a moderate improvement in the realized Sharpe ratios and certainty equivalent returns within the context of a typical portfolio problem.
{"title":"Dissecting Time-Varying Risk Exposures in Cryptocurrency Markets","authors":"Daniele Bianchi, Massimo Guidolin, Manuela Pedio","doi":"10.2139/ssrn.3609949","DOIUrl":"https://doi.org/10.2139/ssrn.3609949","url":null,"abstract":"In this paper we take an empirical asset pricing perspective and investigate the dominant view (possibly, an instinctive reflection of the media hype surrounding the surge of Bitcoin valuations) that cryptocurrencies represent a new asset class, spanning risks and payoffs sufficiently different from the traditional ones. Methodologically, we rely on a flexible dynamic econometric model that allows not only time-varying coefficients, but also allow that the entire forecasting model be changing over time. We estimate such model by looking at the time variation in the exposures of major cryptocurrencies to stock market risk factors (namely, the six Fama French factors), to precious metal commodity returns, and to cryptocurrency-specific risk-factors (namely, crypto-momentum, a sentiment index based on Google searches, and supply factors, i.e., electricity and computer power). The main empirical results suggest that cryptocurrencies are not systematically exposed to stock market factors, precious metal commodities or supply factors with the exception of some occasional spikes of the coecients during our sample. On the contrary, crypto assets are characterized by a time-varying but significant exposure to a sentiment index and to crypto-momentum. Despite the lack of predictability compared to traditional asset classes, cryptocurrencies display considerable diversification power in a portfolio perspective and as such they can lead to a moderate improvement in the realized Sharpe ratios and certainty equivalent returns within the context of a typical portfolio problem.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123879514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Does digital infrastructure increase trade benefits in services, and how large are these trade benefits? This paper uses the prevalence of countries’ data centres and secure internet servers to investigate the impact of data-related infrastructures on services trade. Data centres and internet servers facilitate the production and trade of many service sectors reliant on software technologies. Therefore, digital infrastructures are complementary sources of comparative advantage in the more data-reliant sectors. Instrumental variable regressions underline this trade impact by using as instruments a country’s exposure to natural hazards since 1900, such as earthquakes, floods and droughts. Overall, data infrastructures are an important and exogenous determinants of specialization patterns in services dependent on software.
{"title":"Sources of Comparative Advantage in Data-Related Services","authors":"Erik Marel","doi":"10.2139/ssrn.3657216","DOIUrl":"https://doi.org/10.2139/ssrn.3657216","url":null,"abstract":"Does digital infrastructure increase trade benefits in services, and how large are these trade benefits? This paper uses the prevalence of countries’ data centres and secure internet servers to investigate the impact of data-related infrastructures on services trade. Data centres and internet servers facilitate the production and trade of many service sectors reliant on software technologies. Therefore, digital infrastructures are complementary sources of comparative advantage in the more data-reliant sectors. Instrumental variable regressions underline this trade impact by using as instruments a country’s exposure to natural hazards since 1900, such as earthquakes, floods and droughts. Overall, data infrastructures are an important and exogenous determinants of specialization patterns in services dependent on software.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122460763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.15587/2706-5448.2020.202439
T. Romanika
The object of research is the labor market, which is undergoing significant transformations under the influence of technological and structural changes, global and demographic trends. In this context, special attention should be paid to such an important aspect as youth unemployment, to identify its features. The subject of analysis is the classification of the causes of unemployment and the development of unemployment, youth behavior patterns on the labor market, manifested in the spread of phenomena such as distance employment, the latest forms of employment, self-employment, social exclusion of youth and the like. The methodology of an interdisciplinary approach to the analysis of youth unemployment made it possible to identify and characterize not only its state and structure, but also to identify the characteristics of youth behavior patterns in the labor market. The conclusion regarding the growth and actualization of employment instability, the decrease in the value of labor among youth, the blurring of the boundaries between employment and unemployment, as a result of modern transformations of the labor market, actualizes the need to search for a new youth policy. Analyzing the factors producing the growth of youth unemployment and the spread of non-standard forms of employment, it should be noted the need for their constant consideration in the institutional environment of the modern economy. The main manifestations of socio-economic transformations of the labor market are substantiated. It is proved that the effective inclusion of young people in social production is in the plane of the formation of an innovative model of social and labor relations based on the reform and creation of regulatory institutions. Without the development and implementation of effective and interconnected institutional mechanisms for managing the youth labor market, it is impossible to systematically and comprehensively increase the level of youth employment. The paper proposes the creation of a system of institutions, the main activity of which will be aimed at stimulating youth employment, identifying hidden employment and youth unemployment, employment, retraining, work with gifted youth, social guarantees and the like. Thanks to this, it is possible to tightly control the state of youth unemployment, to respond quickly and to implement prompt and effective measures to overcome it
{"title":"Unemployment Research in the Conditions of the Labour Market Transformation","authors":"T. Romanika","doi":"10.15587/2706-5448.2020.202439","DOIUrl":"https://doi.org/10.15587/2706-5448.2020.202439","url":null,"abstract":"The object of research is the labor market, which is undergoing significant transformations under the influence of technological and structural changes, global and demographic trends. In this context, special attention should be paid to such an important aspect as youth unemployment, to identify its features. The subject of analysis is the classification of the causes of unemployment and the development of unemployment, youth behavior patterns on the labor market, manifested in the spread of phenomena such as distance employment, the latest forms of employment, self-employment, social exclusion of youth and the like. The methodology of an interdisciplinary approach to the analysis of youth unemployment made it possible to identify and characterize not only its state and structure, but also to identify the characteristics of youth behavior patterns in the labor market. The conclusion regarding the growth and actualization of employment instability, the decrease in the value of labor among youth, the blurring of the boundaries between employment and unemployment, as a result of modern transformations of the labor market, actualizes the need to search for a new youth policy. Analyzing the factors producing the growth of youth unemployment and the spread of non-standard forms of employment, it should be noted the need for their constant consideration in the institutional environment of the modern economy. The main manifestations of socio-economic transformations of the labor market are substantiated. It is proved that the effective inclusion of young people in social production is in the plane of the formation of an innovative model of social and labor relations based on the reform and creation of regulatory institutions. Without the development and implementation of effective and interconnected institutional mechanisms for managing the youth labor market, it is impossible to systematically and comprehensively increase the level of youth employment. The paper proposes the creation of a system of institutions, the main activity of which will be aimed at stimulating youth employment, identifying hidden employment and youth unemployment, employment, retraining, work with gifted youth, social guarantees and the like. Thanks to this, it is possible to tightly control the state of youth unemployment, to respond quickly and to implement prompt and effective measures to overcome it","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A two wave panel data from Afro-barometer database is used to examine the nexus between government effectiveness and living condition in Sub-Saharan Africa. Exploratory factor analysis with polychoric correlation and ordered probit estimation technique for panel data are used in the inferential analysis. The vulnerability of the dependent variable (self-assessed living condition) for heterogeneity problem is shown using Random effects generalized ordered probit model with auto fit procedure. This study found that government futility in provision of basic needs and basic security, and in handling of critical economic issues, in which individuals are facing in their day to day life, deteriorates the living condition of individuals in Sub-Saharan Africa. This result, convincingly, demonstrates the ineptitude of those governments in Sub-Saharan Africa, which are mostly characterized by being bureaucratic, undemocratic, unaccountable, full of violence and debauched, and hence makes the life of their citizens unsafe and meagre. The result also shows that being literate the individuals are, the higher the probability of living in good condition compared to those who are illiterate. Hence, those governments should focus on their policies and implementation, which helps to enhance the living condition of individuals through provision of basic needs and basic security, and better treatment of economic issues including unemployment, access to basic services, infrastructure, and income inequality.
{"title":"Nexus between Government Effectiveness and Living Condition in Sub-Saharan Africa","authors":"M. A. Workneh, Z. S. Eshete","doi":"10.2139/ssrn.3586339","DOIUrl":"https://doi.org/10.2139/ssrn.3586339","url":null,"abstract":"A two wave panel data from Afro-barometer database is used to examine the nexus between government effectiveness and living condition in Sub-Saharan Africa. Exploratory factor analysis with polychoric correlation and ordered probit estimation technique for panel data are used in the inferential analysis. The vulnerability of the dependent variable (self-assessed living condition) for heterogeneity problem is shown using Random effects generalized ordered probit model with auto fit procedure. This study found that government futility in provision of basic needs and basic security, and in handling of critical economic issues, in which individuals are facing in their day to day life, deteriorates the living condition of individuals in Sub-Saharan Africa. This result, convincingly, demonstrates the ineptitude of those governments in Sub-Saharan Africa, which are mostly characterized by being bureaucratic, undemocratic, unaccountable, full of violence and debauched, and hence makes the life of their citizens unsafe and meagre. The result also shows that being literate the individuals are, the higher the probability of living in good condition compared to those who are illiterate. Hence, those governments should focus on their policies and implementation, which helps to enhance the living condition of individuals through provision of basic needs and basic security, and better treatment of economic issues including unemployment, access to basic services, infrastructure, and income inequality.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"47 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120990102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we use Bayesian estimation to study subcontracting network formation and pricing decisions in the US airline industry. We find that, a major carrier is more likely to enter a route in subcontracting services if its rivals have already subcontracted while regional carriers prefer to avoid competition. For existing major carriers per-route, self-service and use of subsidiaries are complementary to subcontracting, while code-sharing is a substitute. Carrier similarity and previously formed networks have significant impacts on new network formations. Taking potential endogeneity issues into account, we find that major carriers’ subcontracting behaviors decrease ticket prices by 3.4%.
{"title":"Subcontracting Network Formation Among US Airline Carriers","authors":"Lei He, Georgia Kosmopoulou","doi":"10.2139/ssrn.3308105","DOIUrl":"https://doi.org/10.2139/ssrn.3308105","url":null,"abstract":"In this paper, we use Bayesian estimation to study subcontracting network formation and pricing decisions in the US airline industry. We find that, a major carrier is more likely to enter a route in subcontracting services if its rivals have already subcontracted while regional carriers prefer to avoid competition. For existing major carriers per-route, self-service and use of subsidiaries are complementary to subcontracting, while code-sharing is a substitute. Carrier similarity and previously formed networks have significant impacts on new network formations. Taking potential endogeneity issues into account, we find that major carriers’ subcontracting behaviors decrease ticket prices by 3.4%.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132018873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As one of the most creative fields that employs technology, fashion design surprisingly lacks effective intellectual property protection. This article posits that the blockchain platform and smart contract applications can remedy the failure of intellectual property laws to protect designs and dramatically improve the industry. Therefore, the industry as a whole, including luxury brands but also smaller and medium-sized brands and young designers, should adopt these technologies as the solution to their current challenges. This article explains how blockchain technology can be used to create a crypto-legal structure of endogenous protective laws administered through a decentralized system of self-executing smart contracts that can fill the gap in the existing intellectual property regime. The article further addresses how the adoption of such technology improves the control over designs, the distribution chains, fee collection, international transactions and the fight against infringement, while effectively creating a more efficient and transparent industry. These conclusions are based on theoretical justification focusing on the theory of law and economics. Finally, the article urges first movers within the fashion industry to adopt blockchain technology and discusses the hurdles that arise with implementing such a system and ends with an assessment of the impact of blockchain-based smart contract on the players in the industry.
{"title":"WHEN BLOCKCHAIN MEETS FASHION DESIGN: CAN SMART CONTRACTS CURE INTELLECTUAL PROPERTY PROTECTION DEFICIENCY?","authors":"S. Yanisky-Ravid, G. Monroy","doi":"10.2139/ssrn.3488071","DOIUrl":"https://doi.org/10.2139/ssrn.3488071","url":null,"abstract":"As one of the most creative fields that employs technology, fashion design surprisingly lacks effective intellectual property protection. This article posits that the blockchain platform and smart contract applications can remedy the failure of intellectual property laws to protect designs and dramatically improve the industry. Therefore, the industry as a whole, including luxury brands but also smaller and medium-sized brands and young designers, should adopt these technologies as the solution to their current challenges. \u0000 \u0000This article explains how blockchain technology can be used to create a crypto-legal structure of endogenous protective laws administered through a decentralized system of self-executing smart contracts that can fill the gap in the existing intellectual property regime. The article further addresses how the adoption of such technology improves the control over designs, the distribution chains, fee collection, international transactions and the fight against infringement, while effectively creating a more efficient and transparent industry. These conclusions are based on theoretical justification focusing on the theory of law and economics. \u0000 \u0000Finally, the article urges first movers within the fashion industry to adopt blockchain technology and discusses the hurdles that arise with implementing such a system and ends with an assessment of the impact of blockchain-based smart contract on the players in the industry.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115966627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Political networks are an important feature of the political and economic landscape of countries. Despite their ubiquity and significance, information on such networks has proven hard to collect due to a pervasive lack of transparency. However, with the advent of big data and artificial intelligence, major financial services institutions are now actively collating publicly available information on politically exposed persons and their networks. In this study, we use one such data set to show how network characteristics vary across political systems. We provide results from more than 150 countries and show how the format of the network tends to reflect the extent of democratisation of each country. We also outline further avenues for research using such data.
{"title":"Political Networks Across the Globe","authors":"S. Commander, S. Poupakis","doi":"10.2139/ssrn.3568308","DOIUrl":"https://doi.org/10.2139/ssrn.3568308","url":null,"abstract":"Political networks are an important feature of the political and economic landscape of countries. Despite their ubiquity and significance, information on such networks has proven hard to collect due to a pervasive lack of transparency. However, with the advent of big data and artificial intelligence, major financial services institutions are now actively collating publicly available information on politically exposed persons and their networks. In this study, we use one such data set to show how network characteristics vary across political systems. We provide results from more than 150 countries and show how the format of the network tends to reflect the extent of democratisation of each country. We also outline further avenues for research using such data.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128547561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Internet of Things becomes increasingly important for the production process of firms. Yet, little is known about the factors that determine the adoption of the Internet of Things among firms and its impact on firm performance. This paper provides first econometric evidence on the determinants of the Internet of Things among firms and on potential performance impacts. The analysis is based on firm-level data from 874 German firms and a probit model as well as an instrumental variable regression as econometric approach. The results reveal that collaboration platforms, B2B e-commerce, the use of computers, a large firm size and the use of ERP software increase the propensity to use the Internet of Things. In contrast, few competitors are negatively related to the Internet of Things. The results suggest that the causality runs from the determinants to the adoption of the Internet of Things. The results further indicate that sales and product innovation are highest for firms jointly using the Internet of Things and collaboration platforms while a reduction of the workforce is also highest in this case.
{"title":"Which Factors Determine the Adoption of the Internet of Things? Impacts and Benefits","authors":"M. Sarbu","doi":"10.2139/ssrn.3569595","DOIUrl":"https://doi.org/10.2139/ssrn.3569595","url":null,"abstract":"The Internet of Things becomes increasingly important for the production process of firms. Yet, little is known about the factors that determine the adoption of the Internet of Things among firms and its impact on firm performance. This paper provides first econometric evidence on the determinants of the Internet of Things among firms and on potential performance impacts. The analysis is based on firm-level data from 874 German firms and a probit model as well as an instrumental variable regression as econometric approach. The results reveal that collaboration platforms, B2B e-commerce, the use of computers, a large firm size and the use of ERP software increase the propensity to use the Internet of Things. In contrast, few competitors are negatively related to the Internet of Things. The results suggest that the causality runs from the determinants to the adoption of the Internet of Things. The results further indicate that sales and product innovation are highest for firms jointly using the Internet of Things and collaboration platforms while a reduction of the workforce is also highest in this case.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129688746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study examines the stability of Bitcoin price/returns volatility using an AR-GARCH model. The data for the study were the daily closing Bitcoin prices obtained from the bitcoin,com website for the study period 01/01/2013 - 31/12/2017.
{"title":"Analysis of Bitcoin Returns Volatility using AR-GARCH Modelling","authors":"M. Dash","doi":"10.2139/ssrn.3567216","DOIUrl":"https://doi.org/10.2139/ssrn.3567216","url":null,"abstract":"The study examines the stability of Bitcoin price/returns volatility using an AR-GARCH model. The data for the study were the daily closing Bitcoin prices obtained from the bitcoin,com website for the study period 01/01/2013 - 31/12/2017.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128034536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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