Testing The ‘Black Swan Effect’ on Croatian Stock Market Between 2000 and 2013

Peša, Anita Radman; Brajković, Ana Vujaklija

doi:10.5195/emaj.2016.92

Cited by 14 publications

(10 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This statement is consistent with TAM, where perceived ease of use is an important determinant of adopting new technologies by individuals (Davis, 1989). Various studies have shown that the Effort Expectancy significantly influences an individual's intention to adopt a specific technology (Oliveira et al, 2016); (Peša & Brajković, 2016); (Slade, Dwivedi, Piercy, & Williams, 2015). Based on the explanation above: H2: Effort Expectancy has a significant positive effect on Behavioral Intention…”

Section: The Impact Of Effort Expectancy On Behavioral Intentionsupporting

confidence: 84%

“…The stronger the perception that a particular technology is easy to learn and master, the stronger the person's interest in adopting the technology will be. This statement is in line with (Oliveira et al, 2016); (Peša & Brajković, 2016); and (Slade et al, 2015) Generation Z, known as the "Always-Clicking Generation," is a generation closely connected to the internet. This generation was born in the 1990s and grew up in the 2000s when the most significant change over the century came with the advent of the web, internet, smartphones, laptops, networks, and digital media (A. P. Singh & Dangmei, 2016).…”

Section: Si1mentioning

confidence: 53%

See 1 more Smart Citation

Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach

Nur

Panggabean

2021

JAROE

View full text Add to dashboard Cite

Objective– Rapid advances in financial technology have tremendously changed both the way of life and the way of doing business over recent decades. The ubiquitous usage of the internet is fostering new forms of enterprise. Mobile payment is a new way to conveniently and effectively conduct financial transactions through digital platforms. This study analyzes the factors influencing the adoption of mobile payments as a method of payment utilized by Generation Z. Generation Z represents the successor of the generation of our society and the generation that interacts the most with internet technology. Design/methodology– Using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, this study sampled 100 respondents of Generation Z from Jakarta and surrounding areas (JABODETABEK) and further analyzed using the Partial Least Square-Structural Equation Model (PLS-SEM). Results – The results show that factors relating to Performance Expectancy, Social Influences, Facilitating Condition, Perceived Enjoyment, and Trust significantly affect the Behavioral Intention to use mobile payments to conduct online transactions. Effort Expectancy shows no significant effect. Contribution – This study provided the evidence about the factors influencing the Generation Z’s intention behavior to adopt mobile payment technology as a tool in online purchasing, using the extended UTAUT model. This stems from extended UTAUT and applies it to explore how the Behavioral Intention of Generation Z in adopting mobile payment technology.

show abstract

Section: The Impact Of Effort Expectancy On Behavioral Intentionsupporting

confidence: 84%

Section: Si1mentioning

confidence: 53%

Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach

Nur

Panggabean

2021

JAROE

View full text Add to dashboard Cite

show abstract

“…In the OECD countries, Kargi (2016) used the Engle-Granger Cointegration test to prove the Okun's Law existed in the twenty-three countries. It means that an increase in unemployment caused a decrease in the gross domestic product.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Thus, it can be indicated that there is an uncertain relationship between the rate of unemployment and output in various countries. For example, the economic growth had a negative and significant effect on the unemployment rate (Abdul-Khaliq et al, 2014;Alamro & Al-dala'ien, 2016;Bande & Martın-RoMan, 2017;Blázquez-Fernández et al, 2018;Darman, 2013;Dritsaki & Dritsakis, 2014;Jibir et al, 2015;Kargi, 2016;Kori Yahia, 2018;Noor et al, 2007;Pierdzioch et al, 2011;Ruxandra, 2015;Soylu et al, 2018;Tatoglu, 2011;Zanin & Marra, 2012), the Okun's coefficient was not significant (Apergis & Rezitis, 2003;Arewa & Nwakanma, 2012;Astuti, 2016;Yaumidin, 2009), there were positive coefficients in the regression and it implied that the Okun's legal interpretation did not apply (Bankole & Fatai, 2013), there was no causality between economic growth and unemployment rate (Adeyeye et al, 2017), there was a two-way causality between unemployment and output growth (Boďa & Považanová, 2015;Noor et al, 2007), and the Okun's coefficient was different for each country (Azorín & de la Vega, 2017;Bande & Martın-RoMan, 2017;Dixon et al, 2016;Hutengs & Stadtmann, 2013;Moosa, 1997;Rahman & Mustafa, 2017;Silvapulle et al, 2004). Based on these findings, the following hypotheses was suggested:…”

mentioning

confidence: 99%

Okun’s law in an emerging country: An empirical analysis in Indonesia

Lee

Huruta

2019

IER

View full text Add to dashboard Cite

Labor economics policy instruments, such as gross domestic product (GDP) and unemployment are persistent challenges for every country. As an emerging country, Indonesia seeks to reduce unemployment and increase gross domestic product. The aim of this study is to investigate the relationship between GDP and the open unemployment rate in Indonesia starting from 1987 to 2017. Research Design & Methods: The data were obtained from Indonesia's Central Bureau of Statistics website. Moreover, the econometric model of the Granger causality and Structural Vector Autoregression capture the causality of GDP and the open unemployment rate. Findings: The Granger causality test suggested the open unemployment rate does Granger cause gross domestic product, but not vice versa. In line with the Structural Vector Auto-regression, there was a negative relationship between GDP and the open unemployment rate. Contribution & Value Added: This study is in line with Okun's law which explains the more labor used in production will have implications for increasing GDP in the economy. It means this study presents evidence to support the existence of Okun's law in Indonesia. Also, this study contributes to the literature in an emerging country by using the Structural Vector Autoregression model. Article type: research paper

show abstract

“…These big shifts in volatility seem to correspond with important country-specific political, social and economic events (Aggarwal et al, 1999). Peša and Brajković (2016) examine the economic activity and stock exchange of Croatia as a new country of EU to investigate the 'Black Swan effect' from 2000 to 2013. The empirical findings obtained in the employment of the OLS method and the Chow Breakpoint Test provided evidence and revealed that the resignation of the Croatian Ex-Prime Minister lead the country successfully to the EU, but also was a 'Black Swan event', having been unpredictable and resulting in a huge impact on the political and economic environment in Croatia as found through CROBEX, Croatian stock exchange indices.…”

Section: Introductionmentioning

confidence: 99%

Black Swan Event: An Evidence From China’s Economics Efects

Stavrova

Paskaleva

Stoykova

2020

PEB

View full text Add to dashboard Cite

The prognosis of upcoming crises and the course of actually understanding them is increasingly becoming a major subject of discussions in pursuit of reliable indicators. The trade war between the United States and China, along with the COVID-19 pandemic are two events that took place in the Chinese economy with the aforementioned characteristics of the Black swan phenomenon, to which this latest professional analysis is devoted. The objective of this research is to examine the response of the Shanghai Stock Exchange Composite (SSEC) index, in addition to its relation with macroeconomic variables contributing towards a possible Black Swan Event. We employ an econometric methodology comprising of a unit root test, descriptive statistics, linear regression and correlation analysis for the period 2007-2019. Our results illustarte that the bubble from 2015, which is classified as a Black Swan event by many researchers, has a negative influence on the SSEC index. We can further deduce that there were some psychological effects on the Chinese stock market that lead to both, positive and negative trends of SSEC indices. The main findings confirmed that the Consumer Price Index, Exchange Rate, Interest Rate, Unemployment, GDP and Trade Balance were significantly elaborative macroeconomic variables, that had a substantial impact on the SSEC index.

show abstract

Testing The ‘Black Swan Effect’ on Croatian Stock Market Between 2000 and 2013

Cited by 14 publications

References 43 publications

Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach

Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach

Okun’s law in an emerging country: An empirical analysis in Indonesia

Black Swan Event: An Evidence From China’s Economics Efects

Contact Info

Product

Resources

About