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The London office market is a major destination of international real estate capital and arguably the epicentre of international real estate investment over the past decade. However, the increase in global uncertainties in recent years due to socio-economic and political trends highlights the need for more insights into the behaviour of international real estate capital flows. The purpose of this study is to evaluate the influence of the global and domestic environment on international real estate investment activities within the London office market over the period 2007–2017.

This study adopts an auto-regressive distributed lag approach using the real capital analytics (RCA) international real estate investment data. The RCA data analyses quarterly cross-border investment transactions within the central London office market for the period 2007–2017.

The study provides insights on the critical differences in the influence of the domestic and global environment on cross-border investment activities in this office market, specifically highlighting the significance of the influence of the global environment in the long run. In the short run, the influence of factors reflective of both the domestic and international environment are important indicating that international capital flows into the London office market is contextualised by the interaction of different factors.

The authors provide a holistic study of the influence of both the domestic and international environment on cross-border investment activities in the London office market, providing more insights on the behaviour of global real estate capital flows.

This study investigates the impact of economic policy uncertainty (EPU) on the inflows of foreign direct investment (FDI), specifically focusing on two components of FDI: greenfield investment and cross-border mergers and acquisitions (M&As). The objective is to analyze how EPU influences these two types of FDI differently. It further investigates how this impact varies during the Covid-19 pandemic.

Data were collected from various sources such as the United Nations Conference on Trade and Development (UNCTAD), Policy uncertainty index and the World Bank database to create a sample covering 213 countries from 2003 to 2020. The research objective was accomplished by utilizing the panel ordinary least squares (OLS) with fixed effects estimator.

The results demonstrate that countries that experience more EPU observe a decrease in FDI inflows. The authors also observe that FDI inflows have reduced due to the Covid-19 pandemic. Furthermore, the findings show that the impact of EPU is different between two components of FDI during the Covid-19 period. Specifically, the authors find that when uncertainty is trigged by the health crisis, there is an increase in FDI inflows in the form of cross-border M&As only. One possible reason is that cross-border M&As investors may take advantage of institutional quality (such as corruption) as an “efficient grease” to quickly expedite the entry process, which ultimately leads to a rise in cross-border M&As investment.

Overall, the study attempts to demonstrate empirical evidence about how EPU affects FDI inflows with an up-to-date dataset. In addition, the authors illustrate the significance of breaking down total FDI inflows into two sub-categories when examining the relationship between EPU and FDI. Third, the authors prove that the influence of EPU on FDI inflows differ significantly among different types of FDI components.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0114

This study aims to test the impact of different institutional quality indicators on two modes of foreign direct investment (FDI)-greenfield investment and cross-border mergers and acquisitions (M&As) for a sample of 110 countries over the period 2003–2017.

The authors develop a model of well-known FDI determinants, such as market size and potential, openness, the value of the national currency and the quality of institutions. The authors examine one-by-one five different institutional factors: law and order, investment profile of the host country, control of corruption (anti-corruption); democratic accountability, and government stability, applying a generalized method of moments (GMM) estimator that assures no endogeneity and reverse causality of the key explanatory variables.

The results point out the fact that fertile institutional conditions for attracting greenfield FDI to developing countries require law and order, good investment conditions and a state of democracy, but not necessarily tight control of corruption and a stable government. On the other hand, the appropriate institutional environment for attracting cross-border M&A sales flows to developing countries includes strong law and order, good investment conditions, strict control of corruption and strong democratic accountability. The results for developed countries show overall smaller importance of institutions as a determinant of both types of FDI.

This is the first study to analyze the differentiated determinants of the two modes of investment. The study holds implications for crafting two different policies for attracting greenfield FDI and M&A sales.

The purpose of this study is to probe into the influence mechanism of financial opening onto industrial restructuring from the prism of financial development and examine the role of the credit market, capital market and currency market in transmitting the impact of financial opening onto industrial restructuring in both developed countries and developing countries.

In the theoretical model, the indicator of financial opening was introduced in Cobb–Douglas production function formula. Using constant elasticity of substitution utility function, based on Engel’s law, the optimal industrial structure in the economy was concluded. For the empirical analysis, data was collected from 36 developed countries and 34 developing countries during the period 2000 to 2019. Multiple mediator models with bootstrap techniques were used to identify the linkage between financial opening, financial development and industrial restructuring.

First, there is a U-shaped relationship between financial opening and industrial restructuring. Second, financial development plays a mediating role in transmitting the effects of financial opening onto industrial restructuring mainly through the credit market at the global level. Third, developed countries are in a trend of “reindustrialization,” while developing countries show a trend of “premature deindustrialization.” Moreover, for developed countries, the capital market leads to reindustrialization, while the credit market and currency market contribute to deindustrialization. For developing countries, the capital market and credit market lead to deindustrialization, while the currency market contributes to industrialization.

Unlike most previous researches, this paper focuses on examining three-variable relationship between financial opening, financial development and domestic industrial restructuring. Against the backdrop of the pandemic, monetary policy shifts of developed economies have led to an increase in cross-border capital flows, which will lead to the increasing risks for international financial markets and the reallocation of the global value chain. It is of great significance to clarify the linkage between these three variables in the face of a volatile international financial environment.

Tax evasion and money laundering have become important sources of illicit financial flows in developing countries. Foreign capital flows used by shell corporates are generally with no real economic activities but motivated by harmful tax practices, thereby inducing loss of revenue for developing countries. Despite the coercive actions, such as backlisting of noncooperative jurisdictions to anti-money laundering and countering terrorism financing standards, illicit financial activities are still eroding the tax base in developing countries. The purpose of the paper is to assess the blacklisting effectiveness as a coercive policy against illicit financial activities.

This paper applies a propensity score matching strategy to a sample of 118 developing jurisdictions from 2009 to 2017 to evaluate changes in illicit financial activities following the blacklisting.

The results show that rather than altering illicit inflows in blacklisted countries, financial restrictions have produced the inverse, causing a boomerang effect on financial crime activities. The illicit share of capital inflows increases on average by 6 percentage points and 0.7% of GDP following the blacklisting. These results are robust to alternative matching methods and to the hidden bias problem.

Most of the previous research analyzed the link between blacklisting and fiscal revenues. However, here, the study analyzes whether blacklisting makes countries more cooperative in terms of fighting illicit financial flows.

This study examines whether country-level financial integration affects firms' accounting choices and the quality of financial information.

This study employs Propensity Score Matching (PSM), and panel regressions of a large sample of data from 20 emerging markets over the period 1987–2018.

This study finds evidence that increased level of financial integration is significantly positively associated with firms' accruals earnings management (AEM) and real earnings management (REM).

Findings in the study have implications for standard-setting bodies that aim to enhance the usefulness of financial reporting quality. The study also has implications for various initiatives by governments in emerging markets aimed at raising investor confidence and fostering stock market development through greater financial integration.

Findings in the study have implications for standard-setting bodies that aim to enhance the usefulness and quality of financial reporting. The findings can be of interest to analysts, auditors and other monitoring institutions who play a crucial role in detecting earnings management and reducing information asymmetry. Finally, the study has implications for various initiatives by governments in emerging markets aimed at raising investor confidence and fostering stock market development through greater financial integration.

Findings in the study reveal how country-level financial integration affects accruals and real earnings management in a sample of firms from 20 emerging markets. Further, the study adds to the growing body of literature on emerging markets where capital markets mechanisms, regulatory environment and firm's corporate governance are distinct to developed markets.

With the growing interconnectedness of global markets brought about by globalization and technological innovation, there is a heightened worldwide risk of money laundering, posing a considerable negative impact on economies and social equality. Therefore, the primary purpose of this research is to examine factors that underpin the pervasiveness of money laundering risk.

By using a cross-section sample of 84 countries, the study uses ordered logit and multinomial logit regression to test and explain the role of main and varied determinants of money laundering risk covering countries’ economic, social, regulatory and corporate environment.

The authors conclude that, overall, the macroeconomic indicators are less relevant in influencing money laundering risk than the other factors adopted from the Basel report. Nonetheless, the volume of exports and the exchange rate were robust in both the ordered and multinomial regression analyses alongside financial secrecy, auditing standards and corporate transparency. While more financial secrecy and a higher volume of exports were found to increase this risk, the other variables showed a negative relationship. The authors further conclude that it is mostly less secrecy, more transparency and better auditing that could gradually transform a high-risk country into medium risk.

This study recommends the implementation of publicly accessible ownership registries to address the issues around secrecy, transparency and auditing misconducts. Additionally, the general strengthening of laws and policies in these three domains is also necessary alongside the application of current technologies, such as machine learning, for the detection of money laundering.

The authors believe this study uses advanced econometric techniques rarely used in the literature on money laundering. Separating the impact of economic and social/regulatory is also valuable

This paper aims to provide new perspectives on the integration of East Asian stock markets and the dynamic volatility transmission to the Bitcoin market utilising daily data from 2014 to 2020.

The authors undertake comprehensive analyses of the dependency dynamics, systemic risk and volatility spillover between major East Asian stock and Bitcoin markets. The authors employ a vine-copula-CoVaR framework and a VAR-BEKK-GARCH method with a Wald test.

(a) With exception of KS11 and N225; HSI and SSE; HSI and KS11, which have moderate dependence, dependencies among other markets are low. In terms of tail risk, the upper tail risk is more significant in capturing strong common variation. (b) Two-way and asymmetric risk spillover effects exist in all markets. The Hong Kong and Japanese stock markets have significant risk spillovers to other markets, and quite notably, the Chinese stock market is the largest recipient of systemic risk. However, the authors observe a more significant risk spillover from the Chinese stock market to the Bitcoin market. (c) The VAR-BEKK-GARCH results confirm that the Korean market is a significant emitter of volatility spillovers. The Bitcoin market does provide diversification benefits. Interestingly, the Chinese stock market has an intriguing relationship with Bitcoin. (d) An increase in spillovers in East Asia boosts spillovers to Bitcoin, but there is no intuitive effect of Bitcoin spillovers on East Asian spillovers.

For the first time, the authors examine the dynamic linkage between Bitcoin and the major East Asian stock markets.

The study investigates the co-movements amongst real estate investments trust (REITs). This study examines the co-movements between the world and individual countries' REITs and the co-movements amongst country-pair REITs. This study explores the responsiveness of the REITs markets' co-movements to the 2008 global financial crisis (GFC), the coronavirus disease 2019 (COVID-19) pandemic and the Russian–Ukraine conflict.

The study employs a wavelet coherency technique and relies on data from six REITs markets over the 1995–2022 period.

The evidence shows a generally high level of coherency between the global and the country's REITs. The findings further indicate higher co-movements between some country pairs and a lower co-movement for others. The results suggest that the REITs markets increased in co-movements around the 2008 GFC, the COVID-19 pandemic and the Russian–Ukraine conflict. These increased co-movements mostly lasted for a short period suggesting REITs markets contagion around these global events. The results generally suggest interdependence between the global and the country's REITs. Additionally, interdependence is observed for some of the country-pair REITs.

The evidence indicates that REITs markets respond to global events. Thus, the increasing co-movement amongst REITs observed in this study may expose domestic REITs to global crisis. However, this study provides opportunities for minimising the cost of capital for real estate projects. Also, REITs provide limited diversification gains around crisis times. Therefore, countries need to open the REITs markets to global investors whilst pursuing policies to ensure the resilience of the REITs markets to global events. Investors should also take note of the declining geographic diversification gains from some country-pair REITs portfolios.