scholarly journals When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?

2022 ◽  
Author(s):  
Toan Luu Duc Huynh
Keyword(s):  
Social Media ◽  
Textual Analysis ◽  
Causal Relation ◽  
Window Size ◽  
Media Content ◽  
Conditional Correlation ◽  
Conditional Heteroscedasticity ◽  
Dynamic Conditional Correlation ◽  
The Relationship ◽  
Autoregressive Conditional Heteroscedasticity

AbstractWe present a textual analysis that explains how Elon Musk’s sentiments in his Twitter content correlates with price and volatility in the Bitcoin market using the dynamic conditional correlation-generalized autoregressive conditional heteroscedasticity model, allowing less sensitive to window size than traditional models. After examining 10,850 tweets containing 157,378 words posted from December 2017 to May 2021 and rigorously controlling other determinants, we found that the tone of the world’s wealthiest person can drive the Bitcoin market, having a Granger causal relation with returns. In addition, Musk is likely to use positive words in his tweets, and reversal effects exist in the relationship between Bitcoin prices and the optimism presented by Tesla’s CEO. However, we did not find evidence to support linkage between Musk’s sentiments and Bitcoin volatility. Our results are also robust when using a different cryptocurrency, i.e., Ether this paper extends the existing literature about the mechanisms of social media content generated by influential accounts on the Bitcoin market.

scholarly journals POSSIBILITY OF RUSSIAN BONDSPOTFOLIO DIVERSIFICATION THROUGH THE USE OF ISLAMIC BONDS DURING THE COVID-19 PANDEMIC

2021 ◽  
pp. 201-209
Author(s):  
Галина Львовна Толкаченко ◽  
Павел Андреевич Карасев
Keyword(s):  
Correlation Analysis ◽  
Negative Correlation ◽  
Sovereign Debt ◽  
Corporate Bonds ◽  
Suitable Model ◽  
Investment Management ◽  
Conditional Correlation ◽  
Conditional Heteroscedasticity ◽  
Dynamic Conditional Correlation ◽  
Autoregressive Conditional Heteroscedasticity

Диверсификация - один из важнейших элементов в инвестиционной деятельности. Инвесторы пытаются найти баланс при формировании портфеля и его реструктуризации, стремясь одновременно максимизировать доходность и минимизировать риски. Целью данной работы является оценка возможности диверсификации портфеля облигаций российского рынка с помощью включения альтернативной традиционным облигациям формы - сукук в условиях пандемии COVID-19. Представленный в статье анализ такой возможности составляет определенный элемент новизны. В качестве наиболее подходящей модели для корреляционного анализ выбрана «DCC-MGARCH» модель (динамическая модель авторегрессионной условной гетероскедастичности). Результаты исследования показывают, что инвесторы, предпочитающие долговые суверенные ценные бумаги России и корпоративные облигации российских компаний, имеют возможность диверсифицировать портфель путем включения исламских облигаций. Данный вывод объясняется наличием отрицательной корреляционной связи между индексом сукук и индексами российских облигаций, как корпоративных, так и суверенных. Diversification is one of key elements in investment management. Investors strive to find a balance in the formation of a portfolio and its restructuring, simultaneously maximizing profitability and minimizing risks. The purpose of this work is to assess the possibility of diversification of the Russian bonds portfolioby including an alternative to traditional bonds-sukuk. The DCC-MGARCH model (Dynamic Conditional Correlation Multivariate General Autoregressive Conditional Heteroscedasticity Model) was chosen as the most suitable model for correlation analysis. The results of the study show that investors who prefer Russian sovereign debt securities or corporate bonds of Russian companies couldeffectively diversify their portfolio by including Islamic bonds during the COVID-19 pandemic. This conclusion is explained by the presence of a negative correlation between the Dow Jones Sukuk Index as a proxy for sukuk market and the indices of Russian bonds, both corporate and sovereign.

scholarly journals Restricted modes: Social media, content classification and LGBTQ sexual citizenship

2020 ◽  
pp. 146144482090436
Author(s):  
Clare Southerton ◽  
Daniel Marshall ◽  
Peter Aggleton ◽  
Mary Lou Rasmussen ◽  
Rob Cover
Keyword(s):  
Social Media ◽  
Classification Systems ◽  
Media Content ◽  
Sexual Citizenship ◽  
Online Content ◽  
High Profile ◽  
Content Classification ◽  
The Relationship ◽  
Public Criticism

In the context of recent controversies surrounding the censorship of lesbian, gay, bisexual, transgender and queer online content, specifically on YouTube and Tumblr, we interrogate the relationship between normative understandings of sexual citizenship and the content classification regimes. We argue that these content classification systems and the platforms’ responses to public criticism both operate as norm-producing technologies, in which the complexities of sexuality and desire are obscured in order to cultivate notions of a ‘good’ lesbian, gay, bisexual, transgender or queer sexual citizen. However, despite normative work of classification seeking to distinguish between sexuality and sex, we argue that the high-profile failures of these classification systems create the conditions for users to draw attention to, rather than firm, these messy boundaries.

scholarly journals The Relationship between Stock Returns and Trading Hours: Evidence from Amman Stock Exchange

2018 ◽  
Vol 7 (3.21) ◽  
pp. 89
Author(s):  
Buthiena Kharabsheh ◽  
Mahera Hani Megdadi ◽  
Waheeb Abu-ulbeh
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Garch Model ◽  
Conditional Heteroscedasticity ◽  
Amman Stock Exchange ◽  
The Relationship ◽  
Autoregressive Conditional Heteroscedasticity

This study investigates the relationship between stock returns and trading hours for 22 shares listed on Amman Stock Exchange (ASE). We analyze the hourly trading data for the period Dec.2005 to Dec.2006. The two trading hours in ASE were split into four periods; first half of the first hour (10:00-10:30), second half of the first hour (10:30-11:00), first half of the second hour (11:00-11:30), and second half of the second hour (11:30-12:00). Using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, our results reveal that the hourly trading time significantly affects stock returns.  

scholarly journals Impact of Risk Perception on Trust in Government and Self-Efficiency During COVID-19 pandemic: Does Social Media Content Help Users Adopt Preventative Measures?

2020 ◽  
Author(s):  
Mohammed Salah Hassan ◽  
Hussam Al Halbusi ◽  
Ali Najem ◽  
Asbah Razali ◽  
Kent A. Williams ◽  
...  
Keyword(s):  
Social Media ◽  
Risk Perception ◽  
Self Efficacy ◽  
Media Content ◽  
Trust In Government ◽  
Media Usage ◽  
Preventative Measures ◽  
Use Of Social Media ◽  
The Impact ◽  
The Relationship

Abstract The public’s actions will likely have a significant effect on the course of the coronavirus disease (COVID-19) pandemic. Human behavior is conditioned and shaped by information and perceptions of people. This study investigated the impact of risk perception on trust in government and self-efficacy. It examined whether the use of social media helps people adopt preventative actions during the pandemic. To test this hypothesis, data were gathered from 512 individuals (students and academicians) who were based in Malaysia during COVID-19. Our results suggested that risk perception had a significant effect on trust in government and self-efficacy. Moreover, these correlations were stronger when social media was used as a source for gathering information on COVID-19, and in some cases it even helped the user avoid being exposed to the virus. This study assessed the relationship between risk perception and the awareness gained from using social media during the pandemic and also highlighted how social media usage influences trust in government and self-efficacy.

Conversation, storytelling, or consumer interaction and participation? The impact of brand-owned social media content marketing on consumers’ brand perceptions and attitudes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ai-Zhong He ◽  
Yi Cai ◽  
Ling Cai ◽  
Yu Zhang
Keyword(s):  
Social Media ◽  
Brand Personality ◽  
Moderating Effect ◽  
Media Content ◽  
Brand Attitudes ◽  
Content Type ◽  
Narrow Scope ◽  
The Impact ◽  
The Relationship ◽  
Content Marketing

PurposeThis paper studies the relationships among consumers’ perceptions of brand personality, consumers’ brand attitudes and brand-owned social media content marketing (SMCM). The moderating effect of the brand content relevancy was also assessed.Design/methodology/approachA conceptual model was established and examined using two experiments with a total of 363 participants. Hierarchical regression analysis and an analysis of variance were performed to test seven research hypotheses.FindingsResults show that the three forms of brand-owned SMCM, namely: conversation, storytelling and customer interaction and participation, are positively correlated with consumers’ brand personality perceptions and brand attitudes. Also, consumers’ perceptions of brand personality can partially mediate the relationship between brand-owned content marketing and consumers’ brand attitudes. Furthermore, the brand content relevancy does not show a moderating effect on the relationship between content marketing and consumers’ brand personality perceptions or brand attitudes.Originality/valueFirst, a framework was established to delineate those paths by which owned social media content marketing (OSMCM) influences consumers’ attitudes towards a brand. Second, the study demonstrates the importance of conversation as a powerful method of OSMCM. Third, with respect to content in marketing strategies, firms do not need to confine themselves to a narrow scope of content or information that is closely related to the brands alone.

scholarly journals PENGARUH VOLATILITAS NILAI TUKAR TERHADAP VOLUME EKSPOR BEBERAPA KELOMPOK KOMODITI PERDAGANGAN INDONESIA

2008 ◽  
Vol 8 (2) ◽  
pp. 147-173
Author(s):  
Arindra A. Zainal
Keyword(s):  
Exchange Rate ◽  
Export Performance ◽  
Negative Relationship ◽  
Exchange Rate Volatility ◽  
Cointegration Test ◽  
Bretton Wood System ◽  
Conditional Heteroscedasticity ◽  
Long Run ◽  
The Relationship ◽  
Autoregressive Conditional Heteroscedasticity

The relationship between exchange rate volatility and export performance has been scrutinized by many economists since Bretton Wood System collapsed in 1971. Although most of the results show that there is a negative relationship between exchange rate volatility and export performance, we also find that some studies show a positive one. This study used some Indonesian group of commodities data to find the relationship between exchange rate volatility and export performance.While General Autoregressive Conditional Heteroscedasticity (GARCH) was used to calculate exchange rate volatility, this study used Pesharan & Shin ARDL cointegration test in order to find long run relationship between export performance and exchange rate volatility. Only 2 out of 7 equations tested show a long run relationship between exchange rate volatility an export performance and the signs are positive.

scholarly journals PAIN AT THE PUMP: IS THERE AN ASYMMETRIC INFLUENCE OF OIL VOLATILITY ON GASOLINE VOLATILITY IN FRANCE?

2015 ◽  
Vol 21 (2) ◽  
Author(s):  
SOFIANE ABOURA
Keyword(s):  
Crude Oil ◽  
Oil Prices ◽  
Conditional Correlation ◽  
Dynamic Conditional Correlation ◽  
Taxation Policy ◽  
Crude Oil Prices ◽  
The Us ◽  
The Government ◽  
First Time ◽  
The Relationship

<p class="ESRBODY">We investigate, for the first time, the relationship between gasoline volatility and crude oil volatility. We aim to examine if the so-called asymmetric relationship between gasoline and crude oil prices holds for volatility. The approach employed is based on the asymmetric dynamic conditional correlation model as applied to the US WTI oil volatility and the French Super Carburant 95 gasoline volatility from 1990 to 2014.</p>The results reveal that gasoline volatility tends to be overreactive to changes in crude oil volatility. Moreover, it appears that the government taxation policy might amplify the gasoline volatility

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