scholarly journals #Bitcoin, #COVID-19: Twitter-Based Uncertainty and Bitcoin Before and during the Pandemic

2021 ◽  
Vol 9 (2) ◽  
pp. 28
Author(s):  
Joseph J. French

We investigated the differential impacts of a new Twitter-based Market Uncertainty index (TMU) and variables for Bitcoin before and during the COVID-19 pandemic. Results showed that TMU is a leading indicator of Bitcoin returns only during the pandemic, and the effect of the TMU on Bitcoin’s conditional volatility is significantly greater during the pandemic. Furthermore, during the pandemic, the uncertainty content of people’s tweets is impacted by the highly salient Bitcoin market. Taken together, our results suggest that the information contained in virtual communities such as Twitter have a much larger impact on cryptocurrency markets following COVID-19.

2008 ◽  
pp. 4-19 ◽  
Author(s):  
A. Ulyukaev ◽  
E. Danilova

The authors point out that the local market crisis - on the USA substandard loan market - has led to the uncertainty of the world financial market. It has caused the growing demand for liquidity in the framework of the world financial system. The Russian banking sector seems to be more stable under negative changes than banking systems of other emerging markets. At the same time one can assume that the crisis will become the factor of qualitative shift in the character of the Russian banking sector development - the shift from impetuous to more balanced growth.


2016 ◽  
pp. 59-70
Author(s):  
Ninh Le Khuong ◽  
Nghiem Le Tan ◽  
Tho Huynh Huu

This paper aims to detect the impact of firm managers’ risk attitude on the relationship between the degree of output market uncertainty and firm investment. The findings show that there is a negative relationship between these two aspects for risk-averse managers while there is a positive relationship for risk-loving ones, since they have different utility functions. Based on the findings, this paper proposes recommendations for firm managers to take into account when making investment decisions and long-term business strategies as well.


Author(s):  
Serge Darolles ◽  
Gaëlle Le Fol ◽  
Christian Francq ◽  
Jean-Michel Zakoïan

10.28945/4505 ◽  
2020 ◽  
Vol 15 ◽  
pp. 039-064
Author(s):  
Rogerio Ferreira da Silva ◽  
Itana Maria de Souza Gimenes ◽  
José Carlos Maldonado

Aim/Purpose: This paper presents a study of Virtual Communities of Practice (VCoP) evaluation methods that aims to identify their current status and impact on knowledge sharing. The purposes of the study are as follows: (i) to identify trends and research gaps in VCoP evaluation methods; and, (ii) to assist researchers to position new research activities in this domain. Background: VCoP have become a popular knowledge sharing mechanism for both individuals and organizations. Their evaluation process is complex; however, it is recognized as an essential means to provide evidences of community effectiveness. Moreover, VCoP have introduced additional features to face to face Communities of Practice (CoP) that need to be taken into account in evaluation processes, such as geographical dispersion. The fact that VCoP rely on Information and Communication Technologies (ICT) to execute their practices as well as storing artifacts virtually makes more consistent data analysis possible; thus, the evaluation process can apply automatic data gathering and analysis. Methodology: A systematic mapping study, based on five research questions, was carried out in order to analyze existing studies about VCoP evaluation methods and frameworks. The mapping included searching five research databases resulting in the selection of 1,417 papers over which a formal analysis process was applied. This process led to the preliminary selection of 39 primary studies for complete reading. After reading them, we select 28 relevant primary studies from which data was extracted and synthesized to answer the proposed research questions. Contribution: The authors of the primary studies analyzed along this systematic mapping propose a set of methods and strategies for evaluating VCoP, such as frameworks, processes and maturity models. Our main contribution is the identification of some research gaps present in the body of studies, in order to stimulate projects that can improve VCoP evaluation methods and support its important role in social learning. Findings: The systematic mapping led to the conclusion that most of the approaches for VCoP evaluation do not consider the combination of data structured and unstructured metrics. In addition, there is a lack of guidelines to support community operators’ actions based on evaluation metrics.


2020 ◽  
Vol 1 (8) ◽  
pp. 43-46
Author(s):  
T. T. ADAMIYA ◽  

The current stage of global development is characterized by opportunities for investment activity, along with an instability of the economic situation and high uncertainty, dictates the need for investors and managers to make effective decisions, taking into account constantly changing conditions. An investor, while making a decision which project to accept, for the most part, uses the standard methods of financial management as a basis for forecasting and analysis. Considering fast-moving processes of technology change, as well as the conditions of market uncertainty, significant risk and agency problems, the article proposes the use of real options as an insurance (hedging) tool for investors against risks at different stages of the investment project. Risk management can be carried out through real options - the tool of flexibility in decision making. Traditional assessment methods ignore the ability to adapt internal and external changes, however management flexibility can significantly reduce risks, and therefore create additional value.


2012 ◽  
Author(s):  
Zhi Da ◽  
Ravi Jagannathan ◽  
Jianfeng Shen

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