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The purpose of this study is to evaluate the linkage between stock markets in Middle Eastern countries before and during the COVID-19 pandemic by using daily and monthly data sets for the period from 2011 to 2021.

The multivariate BEKK-GARCH model was computed to evaluate the existence of non-linear linkage among Middle Eastern stock markets. A correlation approach was used in this study to determine the type of linear connectivity between Middle Eastern stock markets. The study used monthly and daily data sets covering the years 2011 to 2021 to investigate the linkage between stock returns and the volatility spillover between the stock markets in Palestine, Jordan, Syria and Lebanon, both before and during COVID-19. To understand the types of relationships between markets before and during COVID-19, the daily data set was split into two periods.

Results from the pre-COVID-19 suggest that the Syria stock market is not related to any stock market in the Middle East markets; the Palestine and Lebanon stock markets exhibit a weak relationship, but Jordan and Palestine stock markets are strongly linked. Conversely, results from COVID-19 evince a very strong bidirectional volatility spillover between Middle East stock markets. Overall, the results indicate the existence of increased linkage during the COVID-19.

The data collection on a daily and monthly basis, both before and during COVID-19, presents certain limitations for the paper. Another limitation is that the data cannot be generalized to all other Middle Eastern countries; rather, the conclusions drawn can only be applied to these four countries. This is especially true if the scholars collected most of the necessary data but were unable to obtain certain data for various reasons.

These findings have implications for risk management, market regulation and the growth of local stock markets. Facilitating the growth of smaller, more specialized markets to improve integration with other Middle Eastern markets is one of the goals of the domestic stock market development policy. To ensure financial stability, Middle Eastern stock market linking policies should consider spillover risk and take steps to minimize it. Enhancing the range of investment opportunities accessible to shareholders and functioning as confidential risk-sharing mechanisms to facilitate improved risk management in Middle Eastern stock markets will not only significantly influence the mobilization of private capital to promote investment and local economic growth but also lay groundwork for integrated market platforms.

This paper adds to the body of literature by demonstrating the nature of the connections between these small markets and the larger markets in the Middle East region. Information from the smaller markets provides institutional insights that enhance the body of existing research, guide the formulation of evidence-based policies and advance financial literacy in these markets. This study contributes by comparing data from different stock markets to better understand the type and strength of the link and relationship between Middle Eastern stock markets, as well as any underlying or reinforcing factors that might have contributed to the relationship and the specific types of links that these markets shared prior and during COVID-19.

With the globalization and liberalization in terms of increasing financial flows across the countries, the policy makers around the world are not independent in the context of monetary and fiscal policy initiatives. In this regard, this paper aims to attempt to quantify and capture long run, short run as well as time-varying linkages among the two financial stress indices, namely, Kansas City Financial Stress Index (KCFSI) and Indian Financial Stress Index (IFSI) across the monthly period (2004 to 2014).

Owing to the non-existence of a standardized financial stress index with regards to the Indian financial system, the study has developed an index/stress indicator using principal component analysis. Furthermore, to comprehend the linkages, the study uses bivariate Johansen cointegration model, vector error correction model, impulse response functions (IRF), variance decomposition analysis (VDA), Toda-Yamamoto’s Granger causality test and, finally, bivariate generalized autoregressive conditional heteroskedastic (BVGARCH) (1,1) model under constant conditional correlation (CCC) framework.

The results report a stochastic trend among the two indices wherein the US financial system acts as a source of a shock causing disequilibrium in the long run co-movement. About 40 per cent of the adjustments take place in one month and rest in the coming months. Both the IRF and VDA report a greater degree impact of the US financial stress on the Indian financial system. Moreover, there is a uni-directional short run causality running from the stress in the US financial system to the Indian financial stress. Furthermore, the co-movement between the US and Indian financial stress reached to its maximum significant level during the sub-prime crisis even confirmed by the Markov switching model results.

Overall, the results provide an insight to the financial market investors both domestic as well as international in their act of risk management. The financial stress prevailing in an economy further has an impact on different economic factors like foreign exchange rates, interest rates, yield curves, equity market returns and volatility. So, the empirical results support strong implications for the Indian policy makers as well as investors in the Indian financial markets.

The present study contributes to the literature in three senses. First, the study considers indices reflecting financial stress in the Indian as well as US financial system. Second, the study captures long run as well as short run linkages among the financial stress indices relating to a developed and an emerging market. Finally, the study uses CCC-BVGARCH (1,1) model to account for the time-varying co-movement among the financial stress indices. This helps in comprehending time-varying nature of the co-movement of the stress in the financial system prevalent in the respective markets.

The authors aim to report empirical linkages between the US and Brazil, Russia, India and China (BRIC) financial stress indices catalyzing catalyzing dependent economic policy initiatives (an extended version of Singh and Singh, 2017a).

Initially, the study develops financial stress indices for the respective BRIC financial markets. Later, it captures linkages among the said US-BRIC indices by using Johansen cointegration, vector autoregression/vector error correction models (VECM), generalized impulse response functions, Toda–Yamamoto Granger causality, variance decomposition analyses and bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model under constant conditional correlation framework, in general. Markov regime switching and efficient causality tests proposed by Hill (2007) are also used.

Overall, there are both short-run and long-run dynamic interactions observed between the US and Indian financial stress indices. For rest of the markets, only short-run interactions are found to be in existence. The time-varying co-movement coefficients report financial contagion impact of the US financial crisis on Russian and Indian financial systems only. Contrary to this, Brazilian and Chinese financial systems are largely exhibiting interdependence with the US financial system. Efficient causality tests report indirect impact of the Russian financial system on Brazilian via auxiliary Indian financial system.

The present study is the first of its kind capturing linkages among the US-BRIC financial stress indices by using diverse econometric models. The results support different market participants and policymakers in understanding effectiveness and implementation of economic policies while considering their cross-market interactions as well.

The global financial crisis has magnified the role of Financial Sector Surveillance (FSS) in the International Monetary Fund's activities. This chapter surveys the various steps and initiatives through which the Fund has increasingly deepened its involvement in FSS. Overall, this process can be characterised by a preliminary stage and two main phases. The preliminary stage dates back to the 1980s and early 1990s, and was mainly related to the Fund's research and technical assistance activities within the process of monetary and financial deregulation embraced by several member countries. The first ‘official’ phase of the Fund's involvement in FSS started in the aftermath of the Mexican crisis, and relates to the international call to include financial sector issues among the core areas of Fund surveillance. The second phase focuses on the objectives of bringing the coverage of financial sector issues ‘up-to-par’ with the coverage of other traditional core areas of surveillance, and of integrating financial analysis into the Fund's analytical macroeconomic framework. By urging the Fund to give greater attention to its member countries' financial systems, the international community's response to the global crisis may mark the beginning of a new phase of FSS. The Fund's financial sector surveillance, particularly on advanced economies, is of paramount importance for emerging market and developing countries, as they are vulnerable to spillover effects from crises originated in advanced economies. Emerging market and developing economies, which constitute the majority of the Fund's 187 members, are currently the recipients of over 50 programmes of financial support from the Fund (including those of a precautionary nature), totalling over $250 billion.

This paper aims to seek to find answers to three questions. First, is there any possibility of long-term cointegration between East and Southeast Asian equity markets? If so, how many cointegrating equations are there? Second, what are the short-term causal relationships between equity markets in East and Southeast Asia? Third, what is the East Asia’s most influential equity market toward their Southeast counterparts, and vice versa?

This study uses Johansen's (1988) cointegration method to test long-run relationships among East and Southeast Asian equity markets. With regards to short-run causal relationships, this study uses Granger-causality test as well as the forecast variance decomposition method.

Johansen test proves that there is cointegration between East and Southeast Asian equity markets, but the integration process is not complete. Cointegrating vector also provides evidence that member countries of ASEAN+3 respond differently to external shocks. With regards to short-run causal direction, this study finds that Japan Granger-causes all equity markets in Southeast Asia, while Singapore and Vietnam Granger-cause all equity markets in East Asia. These results imply that Japan is the market with most linkages in Southeast Asia, while Singapore and Vietnam are the markets with most linkages to East Asia. Furthermore, forecast variance decomposition reveals that Japan is the East Asia’s most influential equity markets, while Singapore is the most influential equity market in Southeast Asia. This study suggests that policymakers in East and Southeast Asian countries to synchronize the capital market standards and regulations as well as to reduce the barriers for capital mobility to spur the regional equity market integration.

Increasing integration of East and Southeast Asian capital markets forces policymakers in ASEAN+3 countries to synchronize monetary policies, as it has been found that regionally integrated capital markets reduce the degree of independent monetary policy (Logue et al., 1976). It is therefore important for policymakers in East and Southeast Asian countries to assess the possibility of stock market integration within this region to anticipate the future risks associated with economic integration as well as to build collective regional institutions (Wang, 2004). Click and Plummer (2005) also argued that integrated stock markets is more efficient than nationally segmented equity markets, and the efficiency of Asian capital markets has been questioned in particular after the 1997 Asian financial crises. Yet, the empirical evidence on the extent of financial integration among ASEAN+3 member countries has been limited and inconclusive. This study is therefore an attempt to investigate the recent development of ASEAN+3 equity markets integration.

This study focuses its attention on the existence and the extent of financial integration in East and Southeast Asia region, and it provides evidence that equity market integration in ASEAN+3 is far from complete, and for that reason, there is a need for policymakers in ASEAN+3 member countries to synchronize their standards and regulations. Furthermore, the policymakers in East and Southeast Asia can gain benefit from this study, as it provides the evidence that ASEAN+3 member countries respond differently to policy shocks, which may hinder the development of regional financial integration as well as the policy effectiveness of region-wide authority in ASEAN+3.

This research is different from previous studies, as it puts the regional financial integration within the context of ASEAN+3 frameworks. Unlike previous research that considers East and Southeast Asian countries as an individual entity, this research considers East and Southeast Asia into two different blocks, following Tourk (2004) who documented that negotiation process for ASEAN+3 financial integration is conducted in sub-regional level (ASEAN vs East Asia), rather than national level (country per country basis). Second, this study covers the period after the 1997 Asian financial crisis. As suggested in Wang (2014), that the degree of stock market integration tends to change around the periods marked by financial crises, the updated study on Asian financial integration in the aftermath of 1997 financial crises is important to document the development of regional financial integration.

The recent international financial crisis and the subsequent Great Recession has underlined the need to gain a better understanding of the linkages between financial factors and the real economy. The purpose of this paper is to explore the contributions of financial shocks to macroeconomic fluctuations in Denmark, USA and Canada over the past century.

The paper compiles a new data set with break-adjusted quarterly time series of real gross domestic product (GDP) and six other key macroeconomic indicators for the three countries since 1921. It then explores the time-variation of macro-financial linkages by estimating structural vector-autoregressive models separately for three sample periods: 1921-1949, 1950-1979 and 1980-2014.

For all three countries, there seems to have been a non-trivial contribution from financial shocks to volatility in output and unemployment in all sample periods, even in the period 1950-1979, which was characterised by tight regulation of the financial sector and widespread financial stability. These findings underscore the general importance of financial factors to macroeconomic fluctuations.

The paper is the first to offer regression-based estimates of quarterly real GDP for Denmark for 1921-1947. As a result, quarterly figures for real GDP are now available for Denmark for the entire period 1921-2014. Such long-span time series of quarterly real GDP do not exist for any other European countries.

This paper aims to test whether the latest global financial crisis propagated contagiously from the USA to the rest of the world.

If the reason of the propagation of a crisis is a normal time interdependence with the crisis origin country due to real linkages, the spread of crisis can be limited by implementing well-defined preventive policies. On the other hand, if a crisis propagates because of the speculative attacks or irrational behaviors, the “national policymakers will face difficulties in protecting their markets from such a crisis” (Kleimeier et al., 2003, p. 2). Therefore, separation of contagion and interdependence may provide crucial insights for policymakers to implement appropriate policies to prevent and/or stop the financial crisis. Hence, this paper compares the heteroscedasticity-corrected conditional correlations and dynamic conditional correlations in the tranquil and shock periods.

The findings were quite straightforward and consistent for both Forbes and Rigobon heteroscedasticity correction technique and dynamic conditional correlation (DCC) model. The Forbes and Rigobon technique failed to reject the null of no contagion for 25 countries in our data sample, while the DCC model failed to reject the null of no contagion for 21 countries. While heteroscedasticity-corrected correlation technique confirmed the presence of a contagion for six countries, the DCC technique confirmed the presence of a contagion for ten countries.

This study particularly investigates whether the subprime mortgage crisis spilled over contagiously to the rest of the world. To investigate whether there is a significant increase in the cross-market correlations between the crisis origin country, the USA and the rest of the world markets during the latest financial crisis, both heteroscedasticity-corrected correlation technique and DCC model are used.Therefore, this study possibly contributes well to the literature using a large country set and conducting the analysis from different angles for important properties.

From a financial stability viewpoint, this paper aims to study cyclical interdependencies arising from the cross-holding of securities in the Colombian financial system.

Cross-holding of securities in financial systems occurs when two financial institutions hold securities issued by each other or when more than two financial institutions hold securities issued by each other in a circular structure. Securities cross-holding is key for financial stability because of potential contagion arising from cyclical interdependencies in the connective architecture of financial systems. The presence of cyclical interdependencies is studied based on network analysis. The data set is a multilayer network that comprises bonds, certificates of deposit and equity issued and held by Colombian financial institutions from 2016 to 2019.

Results show that the extent of securities’ cyclical interdependencies is particularly low and stable – even when cross-holding across different types of securities is considered.

The monetary value of exposures and their size with respect to financial institutions’ balance sheets are not considered. Studying the impact on the financial system’s solvency is a compulsory research path.

The network topology suggests that increased potential contagion by cyclical interdependencies and feedback effects from securities cross-holding is rather limited.

To the best of the authors’ knowledge, this is the first time that cyclical interdependencies arising from the securities cross-holding are studied. From a financial stability perspective, the methodology is general and promising for monitoring and analytical purposes.