| | |

New Articles – Finance


DETERMINANTS OF HOUSEHOLD FINANCIAL VULNERABILITY: EVIDENCE FROM SELECTED EU COUNTRIES

Nikola Šubová, Ladislav Mura, Ján Buleca

The financial crisis of 2007/2008, known as the global financial crisis, caused by a combination of an asset price bubble in the real estate sector and a credit bubble leading to excessive leverage, highlighted the importance of the household sector for financial stability of the whole economy. Easy to get a loan and the belief that the house prices would appreciate encouraged more borrowers to get into debt. American households and financial institutions became deeply indebted. At the end of 2007, American households’ total loans and debt securities relative to the GDP was 98.55% (International Monetary Fund, 2020). Mortgage defaults caused by the financial crisis affected financial stability also in European countries. The household sector can influence the economy mainly due to its size and position on the financial markets, but on the other hand, the economic situation of households is also affected by various social, economic, and political changes.
more

PERCEPTION OF BUSINESS ENTITIES TOWARDS DIGITIZATION OF TAX ADMINISTRATION IN THE CZECH REPUBLIC

Šárka Sobotovičová, Beata Blechová

One of the thematic objectives of the European Union cohesion policy for 2014–2020 is to improve access to information and communication technologies and increase usability thereof, including the applications for the digitization of government. The digitization of all government areas has been among the European Union’s priorities since 2014. The objective is to create a fully operational unified EU digital market. The European Commission has adopted the EU eGovernment Action Plan for 2016–2020. The aim of this action plan is the modernization of public administration, establishment of a unified digital market and increased involvement of citizens and businesses for the purposes of providing high quality services. The EU eGovernment Action Plan defines specific measures for the acceleration of implementation of the existing legislation and the transition to online public services.
more

INTANGIBLE ASSETS AS FINANCIAL PERFORMANCE DRIVERS OF IT INDUSTRY: EVIDENCE FROM AN EMERGING MARKET

Milenko Radonić, Miloš Milosavljević, Snežana Knežević

Intellectual capital has been a widely discussed topic in the last few decades (Palaščáková et al., 2019). The early research was solely focused on human capital as a strategic resource of a company (Hermanson, 1964). Follow up studies included a myriad of different elements of intellectual capital, i.e. structural and relational capital (Edvinsson, 1997; Pulić, 1998; Sveiby, 1997). Even though these authors have presented the structure of the intellectual capital, the consensus on the classification still has not been clearly set. Some authors propose separating Innovation capital from structural capital in the IT industries (Wang & Chang, 2005). Therefore, this study has followed the overview and classification of intellectual capital into four categories: human capital, relational capital, structural capital and innovation capital.
more

FINTECH SERVICES AND FACTORS DETERMINING THE EXPECTED BENEFITS OF USERS: EVIDENCE IN ROMANIA FOR MILLENNIALS AND GENERATION Z

Octavian Dospinescu, Nicoleta Dospinescu, Daniela-Tatiana Agheorghiesei

The purpose of this article is to identify the factors that have a decisive influence on the level of satisfaction of users of FinTech services in Romania. To explain the variables that have an effect, we conducted this study both in the entire population of FinTech users, as well as differentiated into two distinct generations: Millennials and Generation Z. From the point of view of age ranges, consumers in the Millennials category are also known in the specialty literature (Aichner & Shaltoni, 2019) as Generation Y, that are people born between the 1980s and the mid-1990s. According to Bucovetchi et al. (2019), Generation Z is the demographic cohort following Millennials and is made up of those born between the second half of the 1990s and early 2000s. These two generations have different behaviors, priorities and preferences when it comes to the use of information technologies.
more

PATTERNS OF 50 ETF OPTIONS IMPLIED VOLATILITY IN CHINA: ON IMPLIED VOLATILITY FUNCTIONS

Pengshi Li, Yan Lin, Yuting Zhong

The implied volatilities are prospective estimates which reflect future expectations about underlying asset volatility. The implied volatility can be seen as the market participants’ assessment of the uncertainty of the underlying asset. Implied volatilities are obtained by matching a set of market option prices with given strike price and time to maturity to those produced by Black-Scholes-Merton model (BSM model) using the same strike price and time to maturity. When the implied volatilities are plotted against various strike prices or different moneyness, one can obtain the implied volatility smile curve, while the pattern of implied volatilities across time to expiration is usually referred to as the term structure of implied volatilities.
more
|< 1 2 3 4 5 >|

?
NAPOVEDA
reguired
Language