The COVID-19 pandemic and induced economic and social constraints have significantly impacted the confidence of both consumers and businesses. Despite that, comprehensive studies of the impact of the COVID-19 pandemic on the consumer and business sentiment are still lacking. Thus, in our research we aim to identify consumer and business confidence indicators’ reaction to the spread of the COVID-19 pandemic in the Eurozone, the United States, and China. For this purpose, we used the method of correlation–regression analysis. We chose the consumer-confidence index, manufacturing purchasing manager’s index, and services purchasing manager’s index as dependent variables; and the number of confirmed cases of COVID-19, the number of deaths caused by COVID-19, and the mortality rate of COVID-19 infections as independent variables. The results showed a relatively rapid and robust effect of COVID-19 in the short period, but longer-term results depended on the region and were not so unambiguous: in the case of the Eurozone, the spread of COVID-19 pandemic did not affect the consumer-confidence index (CCI) or, in the cases of the United States and China, affected this index negatively; the purchasing managers’ index (PMI) in the services sector was significantly negatively affected by the mortality risk of COVID-19 infection; and the impact on the purchasing managers’ index (PMI) in the manufacturing industry appeared to be mixed.
All countries worldwide faced the COVID-19 pandemic and had to take actions to lower the economic shock. Financial authorities play an especially significant role in economics and can help to manage the negative consequences. This article focuses on the European central bank monetary policy and actions taken for COVID-19 risk management. This research aims to identify the significant factors influencing the long-term loans for enterprises’ credit conditions in a forward-looking approach and determine the impact of the spread of COVID-19 pandemic on banking sector credit risk, financial distress, lending growth, and financial soundness indicators. This research is focused on the credit transmission channel and the role of the Pandemic Emergency Purchase Program in different countries of the euro area. To reach the main goal, panel data regression models are used. Our findings showed that the banks’ risk tolerance is a principal factor influencing long-term loan credit standards. We also identified that the spread of the COVID-19 pandemic has a statistically significant negative effect on banking sector credit risk, financial distress, banking sector profitability, and solvency. Furthermore, after analyzing the euro area banking sector, we found that liquidity increased. Hence, it means that banks have enough funds to support sustainable economic growth, but on the other side, commercial banks do not want to take credit risk because of their risk tolerance. Our research findings show the mixed effect of the COVID-19 pandemic on financial stability: while the overall financial distress decreased and banking sector liquidity increased, the profitability and solvency decreased some extent.
This paper summarizes the relevant researches in the area of the green bond market within the perspective of the performance of the global green bond market in the face of the COVID-19 pandemic. Despite the rapid expansion of the green bond market during the last decade, this market has also experienced the consequences of the COVID-19 pandemic. The researches on the effect of COVID-19 and its induced crisis on the green bond markets are still fragmentary; therefore, the main purpose of this research is to evaluate the impact of the COVID-19 pandemic on the global green bond market. To reach the purpose, the methods of literature analysis, and correlation-regression analysis are used. In the first section of the paper, the research problem is presented; in the second part the analysis of academic literature is conducted; in the third part the design of the research is described, and in the fourth part the results of the assessment of the impact of COVID-19 pandemic on the global green bond market are discussed. The results of the research revealed that the spread of the COVID-19 pandemic appeared to have a negative impact on the performance of the S&P Green Bond Index. The market reaction to deaths caused by COVID-19 infection proved to be stronger than the reaction to confirmed cases of COVID-19 infection. However, after a sufficiently significant negative shift, which was observed in the first quarter of 2020, the S&P Green Bond Index regained its upward trend, which continued for the rest of the year.
THE EVALUATION OF THE IMPACT OF FINANCIAL TECHNOLOGIES INNOVATIONS ON CEECs CAPITAL MARKETS Although there is a number of researchers studying innovations in general specifically pointing out the risky nature of financial innovations, and the necessity to study their impact the empiric studies describing the effect of the innovations in financial technologies upon capital markets are scarce. There is no credible evidence leading to an unambiguous conclusion as to the impact of innovation in financial technologies upon the development of capital markets in Central and East European countries (CEECs). Thus, the main scientific problem of this article is the lack of reliable quantitative evidence of the impact of innovations in financial technologies on capital market development in CEECs. According to that, the aim of this article is to assess the impact of the financial technologies innovations upon the capital markets of the CEECs on the basis of the most recent available data (2006-2017). The study methods employed by the authors included an analysis of the relevant scientific literature, comparative dynamic analysis, panel data models (constant, fixed and random effects) and other statistical methods. As a result, the panel model of the impact upon the capital markets in CEECs is developed based on the analysis of the data from 9 Central and Eastern European countries for a period of 12 years (2006-2017). The model suggested by the authors explains almost four fifths of the changes in the capital market expressed in the capitalisation indicator.The panel models of constant, fix and variable effects is an evidence of a negative statistically significant impact of the summary innovation index reflecting the level and the scope of financial technologies upon the development of capital markets in the Central European States when the other selected macroeconomic variables remain in control. The panel model of development of capital markets also showed that a statistically significant positive impact upon the capital market development in CEECs was produced by forecasted GDP growth, inflation and capital investment factors (variables). On the other hand, foreign direct investment, unemployment, interest rate, public debt, government budget deficit do not have a statistically significant impact upon the development of capital markets in the selected CEECs. The model constructed by the author is characterised by fairly high reliability and determination indicators, therefore, may be used for the purpose of a further assessment and projecting of the impact of financial technologies and other actions upon the development of the capital markets.
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