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This paper discusses the privatisation process in the Czech Republic and its influence on corporate governance. While in 1989 the private sector totalled less than 1 per cent of the GDP, at the end of 1996 more than 70 per cent of the GDP was produced by the private sector. Large‐scale privatisation brought companies out of state ownership, but disperse ownership and lack of regulations created an extremely soft management environment. Since 1995 investment funds have started to reorganise their portfolio and more and more companies have undertaken the task of restructuralisation to become competitive. Though a considerable amount of data is still lacking, it can be concluded that the improvement in the profitability of the surveyed enterprises was due to improvements in corporate governance.

This study contributes to the pool of knowledge about the impact of monetary policy communication of central banks on financial instruments' prices and assets' value in emerging markets.

Empirical analysis is executed using the National Bank of Poland (NBP) announcements about its monetary policy covering the data from the broad financial market in its three main segments: stock market, foreign exchange market and bonds market. The reactions are measured relative to the changes in the NBP announcements and also with respect to investors' expectations. Autoregressive conditional heteroscedasticity (ARCH) models with dummy variables are used as the main methodological tool.

Bonds market and foreign exchange market are the most sensitive market segments, while interest rate and money supply are the most influential types of announcements. The changes of the revealed new macroeconomic figures had more impact on assets' prices movements than the deviations from their expectations. Moreover, greater diversity of the Monetary Policy Council (MPC) members' opinions on the voted motions, captured in the MPC voting reports, is associated with more cases of statistically significant NBP communication events.

The findings have direct relevance for fund managers, portfolio analysts, investors and also for financial market regulators.

The results provide novel evidence about how the emerging financial market responds to monetary policy announcements. They help understand the nature of the impact of public information on financial assets' valuation and on movements of their prices, analysed comprehensively in three market segments, in the emerging market environment.

After the precipitated decline of the Soviet Empire and its satellite states, a system change seemed to be called for, and many countries embarked on social and political reforms focussing on property structures in the economy. This raised the issue of governance in the institutions that would constitute the structures in which production would have to take place. In particular, some Central European countries opted for mass privatisations of the means of production, on the face of it so as to have the people participate in the wealth of the nation. In fact, the wealth of the nation depends on the structures in which it is constituted. Dissipation of property rights will reduce the value of the nation's productive capital, whereas an intelligent structure that creates good governance structures at the same time, increases the value of the producing capital. This relatively simple insight lies at the heart of our understanding of how to analyse different processes of mass privatisation. This essay develops a theoretical framework by which different governance structures can be analysed. The framework consists of a blend of the economic theory of property rights, new institutional economics and Austrian economic theory.

In this chapter, Markéta Levínská, Dana Bittnerová and David Doubek show the situation of the Roma Minority in the Czech Republic. According to qualified estimates by regional coordinators for Roma minority affairs, a total of 245,800 Roma lived in Czechia in 2016, which represents 2.3% of the overall population in the Czech Republic. The Roma in the Czech Republic cannot be considered a homogeneous group, neither economically, nor regarding their social status. The authors describe the legal, social and cultural status of the Roma minority then analyse their attainment on different levels of the education system. After listing the most important policies and support programmes in the area of Roma education, they show current research results relating to the state of Roma education.

The authors explore how the sentiment expressed by emojis in comments on stocks is associated with the stocks' subsequent returns.

By applying our own analyzer, the authors find a sentiment effect of emojis on stocks returns separately to the plain text-expressed sentiment in Reddit posts about meme stocks such as Gamestop during the Covid-19 pandemic.

The authors document that a one-standard deviation change in emoji sentiment magnitude measured as the quantity of positive emoji sentiment posts over the previous hour is associated with an 0.06% (annualized: 109.2%) one-hour abnormal stock return compared to a mean of 0.03% (annualized: 54.6%). If the stock exhibits a higher intra-hour volatility, a proxy for uninformed noise trading, this relation is more pronounced and even stronger compared to stock return's relation to plain text sentiment.

The authors are not able to show causation that is open to future research. It also remains an open question how emojis impact market price efficiency.

Emojis are positively related to stock returns in addition to plain text-expressed content if they are discussed heavily by retail investors in Internet boards such as Reddit.

Shared emotions expressed by emojis might have an influence on how disconnected individuals make homogeneous decisions. This argument might explain our found relation of emojis and stock returns.

So, the study findings provide empirical evidence that emojis in Reddit posts convey information on future short-term stocks returns distinct from information expressed in plain text, in the case of volatile stocks, with a higher magnitude.

This study aims to understand how the coevolution of multinational enterprises (MNEs) and emerging economy institutions affects social and economic (in)equality in an ambiguous, emerging economy context from a political actor perspective.

Qualitative in nature, the study builds on conversations with 20 political actors involved in the peacebuilding process in Myanmar/Burma. It analyzes their perceptions of interaction of MNEs and host economy institutions from a social constructionist viewpoint.

The study identifies four coevolution patterns which portray the evolving interaction between MNE activities and different elements of their host institutional environment as well as their consequences for social and economic (in)equality.

This study contributes to critical international business research on emerging economies by emphasizing the different and partly conflicting host institutions of various stakeholder groups involved in the coevolution of MNEs and host institutional environments. The more nuanced conceptualization of the complex institutional environment enables the analysis of inequality as a direct and indirect outcome of MNE–institution interaction. Thus, the study connects to the business and human rights discussion and provides insight into the consequences of MNEs’ adoption of social and environment standards.

For the developing countries involving in the Belt and Road Initiative (BRI) with China as the main source of foreign development investment (FDI) and development as the top priority, it appears to attract more and more attention on how to make the best use of China’s outward foreign development investment. However, the contradictory evidence in the previous studies of FDI spillover effect and the remarkable time-lag feature of spillovers motivate us to analyze the mechanism of FDI spillover effect. The paper aims to discuss this issue.

The mechanism of FDI spillovers and the unavoidable lag effect in this process are empirically analyzed. Based on the panel data from the Belt and Road developing countries (BRDCs) and China’s direct investments (CDIs) from 2003 to 2017, the authors establish a panel vector autoregressive model, employing impulse response function and variance decomposition analysis, together with Granger causality test.

Results suggest a dynamic interactive causality mechanism. First, CDI promotes the economic growth of BRDCs through technical efficiency, human capital and institutional transition with combined lags of five, nine and eight years. Second, improvements in the technical efficiency and institutional quality promote economic growth by facilitating the human capital with integrated delays of six and eight years. Third, China’s investment directly affects the economic growth of BRDCs, with a time lag of six years. The average time lag is about eight years.

Based on the analysis on the mechanism and time lag of FDI spillovers, the authors have shown that many previous articles using one-year lagged FDI to examine the spillover effect have systematic biases, which contributes to the research on the FDI spillover mechanism. It provides new views for host countries on how to make more effective use of FDI, especially for BRDCs using CDIs.

This paper aims to examine the impact of the daily growth rate of COVID-19 cases in the USA (COVIDg), the Federal Fund Rate (FFR) and the trade-weighted US dollar index (USDX) on S&P500 index daily returns and its 11 constituent sectors’ indices for the time period between January 22, 2020, until June 30, 2020.

The study uses the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model to gauge the impacts over the whole period of study, as well as over two sub-periods; first, January 22, 2020, until March 30, 2020, reflecting uncertainty in the US markets and second, from April 1, 2020, until June 30, 2020, reflecting the lockdown.

Results of the MGARCH model reveal a negative and significant relation between COVIDg and S&P500 index daily returns over the first sub-period and the whole study period in the following sectors, namely, communications, consumer discretionary, consumer staples, health, technology and materials. Yet, COVIDg showed a positive and significant relation with S&P500 index daily returns during the second time period in the following sectors, namely, communication, consumer discretionary, financial, industrial, information technology (IT) and utilities. Besides, USDX showed a negative significant effect on S&P500 index daily returns and on the daily return on each of its 11 constituent sectors over the second sub-period and the whole period. Further, FFR showed a significant effect only in the second sub-period, specifically, a negative effect on the daily return of the financial sector and a positive effect on the daily return of the technology sector index. Nevertheless, FFR had a positive significant effect on the daily return of the utilities sector index for the whole period under study.

The impact of the crisis on the S&P500 index can be assessed only with some limitations owing to available global data and the limited time frame of the lock-down.

The study proposes supporting a smooth, functioning and resilient financial system; increasing fiscal measures by the US Government to increase liquidity on constraints; measures by The Federal Reserve to alleviate US dollar funding shortages; support market integrity; ensure continuous transparency and sharing of information; support the health sector, as well as consumer-based sectors that faced demand shocks and facilitate investments in the technology sector.

The originality of this paper lies in the examination of the impact of the novel COVID-19 pandemic on each of the 11 sectors constituting the S&P500 index separately, reflecting how the main economic sectors formulating the US economy reacted to the shock during the peak time of the pandemic to observe a full picture of the economic consequences amid the pandemic.