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New Articles – Finance


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.
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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.
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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.
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ALTMAN MODEL VERIFICATION USING A MULTI-CRITERIA APPROACH FOR SLOVAKIAN AGRICULTURAL ENTERPRISES

Roman Vavrek, Petra Gundová, Ivana Kravčáková Vozárová, Rastislav Kotulič

a successful business is good knowledge of past and current trends, for the right long-term decisions to be made. According to Brealey et al. (2011), knowing where a company stands today is a necessary prelude to contemplating where the company might end up in the future. One of the options for supporting short-term and long-term decisions is financial analysis and financial ratios. Financial ratios have traditionally been indicators of a corporate’s overall performance (Rahman et al., 2017) and may help to quantify the potential impact of internal ratings on financial performance (Belas et al., 2012; Klieštik et al., 2020).
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SOVEREIGN CREDIT RATINGS AND ASIAN FINANCIAL MARKETS

Khansa Pervaiz, Zuzana Virglerová, Muhammad Asif Khan, Usman Akbar, József Popp

Sovereign credit rating (SCR) is an important utensil to judge the creditworthiness and competitiveness of an economy, which facilitates the potential investors to gain confidence in making investment decisions across the globe (Yang et al., 2019). It serves as a “credit passport” to investors to gain useful information about the financial markets in terms of dependable share prices, trim financial obstacles along with provocative effective investment (Mclean et al., 2012; Xu et al., 2019; Zhao et al., 2020). Higher SCR signals a relatively higher performance of companies/ economies (Cubas-Díaz et al., 2018). The efficient market hypothesis holds that financial markets are sensitive to new information, where a piece of information is translated into security prices, depending upon the development of such markets.
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