Foreign banks,financial crises and macroeconomic fluctuations

Understanding the implications of increased foreign bank presence is especially compelling in periods of financial crisis. In this paper, we explore this issue by examining the relationship between the involvement of foreign banks in the banking systems and the volatility of key macroeconomic variables in normal and crisis periods. Using a sample of 20 Emerging European countries from 1998 to 2013, we find that an increase in the assets of foreign banks in the banking system reduces output and consumption growth volatility in general but does not significantly affect the volatility of investments. However, these banks were found to play a significant role in increasing output, consumption and investment volatility in 2009. Our findings suggest that foreign banks’ harmful impact during the global crisis was only temporary and that they seem to help Emerging European countries stabilize macroeconomic volatility in normal times and after the global crisis.     

Volatility spillovers and connectedness among credit default swap sector indexes

This article studies volatility spill-over effects and market connectedness using daily data of credit default swap spreads for U.S. companies over a period from 2007 to 2012. We quantify volatility spillovers by means of an unconditional analysis performed using the entire sample, and a conditional analysis which estimates the model using a rolling window. As our database contains the global financial crisis (GFC), we are able to determine how volatility spillovers spread in the economy during the recent market turmoil. Our unconditional results confirm that the Financials sector was a main contributor to the overall market volatility along with the Consumer Goods, Consumer Services and Basic Materials sectors. The conditional analysis clearly identifies that the Financials was the major feeding sector of volatility spill-over effects, and that the market volatility was successively driven by Technology and Basic Materials over a rather short period of time, followed by Consumer Goods and Consumer Services over a prolonged period of time. Our results illustrate indirect linkages between the sectors that conveyed shocks during the GFC.     

Economic growth,volatility, and cross-country spillovers: New evidence for the G7 countries

This study examines the linkages between output growth and output volatility in the G7 countries over the period 1958M2–2013M8. Using the VAR-based spillover index approach by Diebold and Yilmaz (2012) we find that: i) output growth and volatility are highly intertwined; ii) spillovers have reached unprecedented levels during the global financial crisis; and iii) the US has been the largest transmitter of growth and volatility shocks. Generalized impulse response analyses suggest moderate growth spillovers and sizable volatility spillovers across countries. Cross-variable effects indicate that volatility shocks lead to lower growth, while growth shocks reduce output volatility.     

Dynamic connectedness network in economic policy uncertainties

This study investigates the dynamic connectedness across nine economic policy uncertainty indexes. Our results indicate that the total spillover index is on average 67.4%, indicating a high level of interconnectedness across the nine indexes. In particular, the EU is the largest transmitter of uncertainty connectedness. In addition, China becomes a net transmitter of connectedness during the global financial crisis and European debt crisis. This finding indicates that the uncertainty of Chinese economic policy is an important contributor to the connectedness of the uncertainty network.     

Evaluating international financial integration under leverage constraints

The global financial crisis has undermined many economists' views about the benefits of open financial markets. Anecdotal evidence seems to indicate that financial linkages may propagate shocks during crises. This paper develops a simple two-country model in which financial liberalisation across countries takes place in the presence of credit market distortions within countries. Countries may be subject to macro risk coming from productivity shocks and direct shocks to the credit system (‘financial shocks’). Three different degrees of financial linkages between countries are examined. It is shown that the type of financial integration is critical for both macroeconomic outcomes and welfare. In particular, financial integration in bond markets alone may increase aggregate consumption volatility and reduce welfare. Financial integration in both bond and equity markets generates high positive co-movement across countries, but is welfare-improving.     

Asymmetric effect of exchange rate volatility on India's cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model

This paper examines the asymmetric effect of exchange rate volatility on India's cross‐border trade with its major trading partners: Japan, Germany, the United States, and China. We extend previous studies in two ways. First, we examine whether global financial crisis changes the asymmetric effect of exchange rate volatility on India's cross‐border trade. Next, we divide exchange rate volatility into quintiles and examine the effect of each quintile on cross‐border trade by using the multiple threshold nonlinear autoregressive distributed lag (MTNARDL) model. Our findings from standard nonlinear ARDL (NARDL) indicate that the asymmetric relationship between exchange rate volatility and cross‐border trade changes as a result of global financial crisis. In addition, findings from MTNARDL indicate that in short‐run, exchange rate volatility symmetrically affects India's cross‐border trade with all sample countries whereas in long‐run it asymmetrically affects cross‐border trade. Overall, these findings are very important for policy implications and open a new dimension to exchange rate volatility and trade flows.     

Dynamic frequency connectedness between oil and natural gas volatilities

The goal of this paper is twofold. First, we study dynamic volatility connectedness between oil and natural gas over the period 1994 to 2018. Second, we examine the frequency dynamics of the transmission mechanism arising from frequency-specific responses to volatility shocks. To do so, we adopt a newly introduced approach that decomposes connectedness measures based on variance decompositions into their components at different frequency ranges. Our results summarize as follows: (a) there is a substantial variation in volatility spillovers over time; (b) the natural gas market was a net transmitter during the central part of our sample period; (c) the magnitude of spillovers was smaller after the financial crisis, but volatilities are not decoupled. (d) The volatility propagation mechanism is frequency dependent. Connectedness is typically created at low-frequencies, with volatility shocks across markets having long-lasting effects. However, during some specific periods, such as after Katrina, volatility was transmitted much faster, with shocks dissipating in the short-run.     

Spillover across Eurozone credit market sectors and determinants

We examine spillover and its determinants among Eurozone sector level credit markets using time and frequency domain spillover approaches. Based on network theory and connectedness analysis, we identify the sectors that are major transmitters and receivers of spillover during normal and crisis periods. The rolling window analysis shows that short-run spillover among credit market sectors intensifies during global and Eurozone crisis periods. Further, using Bayesian model averaging, we find that overall financial conditions and stock market volatility are the main drivers of total and sector-level spillover. Our findings have important implications for policymakers and investors interested in Euro-area credit risk at the sector level.     

Fear connectedness among asset classes

This study investigates the interconnection between five implied volatility indices representative of different financial markets during the period 1 August 2008–29 December 2017. To this end, we first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period (the system-wide approach) using a framework recently proposed by Diebold and Yilmaz. Second, we make use of a dynamic analysis to evaluate both the net directional connectedness for each market and all net pairwise directional connectedness. Our results suggest that a 38.99%, of the total variance of the forecast errors is explained by shocks across markets, indicating that the remainder 61.01% of the variation is due to idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability. Finally, we also document frequently switch between a net volatility transmitter and a net volatility receiver role in the five markets under study.     

Fundamentals and Sovereign Risk of Emerging Markets

We empirically assess the relative importance of various economic fundamentals in accounting for the sovereign credit default swap (CDS) spreads of emerging markets during 2004–2012, which encompasses the global financial crisis of 2008–2009. Inflation, state fragility, external debt and commodity terms of trade volatility were positively associated, while trade openness and a more favourable fiscal balance/GDP ratio were negatively associated with sovereign CDS spreads. Yet the relative importance of economic fundamentals in the pricing of sovereign risk varies over time. The key factors are trade openness and state fragility in the pre‐crisis period, the external debt/GDP ratio and inflation in the crisis period, and inflation and the public debt/GDP ratio in the post‐crisis period. Asian countries enjoy lower sovereign spreads than Latin American countries, and this gap widened during and after the crisis. Trade openness was the biggest factor behind Asia's lower sovereign spreads before the crisis, and inflation during and after the crisis. The results imply that external factors were paramount in pricing sovereign risk prior to the crisis, but internal factors associated with the capacity to adjust to adverse shocks gained prominence during and after the crisis.     

Volatility transmission between stock and foreign exchange markets: a connectedness analysis

ABSTRACT

This paper empirically investigates volatility transmission among stock and foreign exchange markets in seven major world economies during the period July 1988 to May 2018. To this end, we first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period (the system-wide approach). Second, we make use of a dynamic analysis to evaluate the net directional connectedness for each market. To gain further insights, we examine the time-varying behaviour of net pair-wise directional connectedness during the financial turmoil periods experienced in the sample period Our results suggest that slightly more than half of the total variance of the forecast errors is explained by shocks across markets rather than by idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability.     

Volatility spillovers and determinants of contagion: Exchange rate and equity markets during crises

We study the hourly volatility spillover between the equity markets of New York (DJI), London (FTSE 100) and Tokyo (N225) and their exchange rates (USD, EUR, GBP and JPY) for the period of 2001 through 2013 covering the non-crises period, the global financial crisis and the euro debt crisis. First, we find a general increase in spillover between the equity and exchange rate markets during the crisis periods. Second, pure contagion (attributable to irrational investors’ behavior) and fundamental contagion (measured by macroeconomic fundamentals) explains the increased spillover between the FTSE 100, N225 to the DJI during the global financial crisis and from the exchange rate markets to the DJI during the euro debt crisis.     

Spillover effects of the 2008 financial crisis on NIE stock markets

This article estimates dynamic conditional correlations of stock returns across countries by using DCC–GARCH model and analyse spillover effects of the 2008 financial crisis on the NIE’s stock markets. The results show that there is no regime shift in mean equation of the correlation coefficient during the financial crisis. It may imply there are no mean spillover effects of the US financial crisis on the NIE’s stock markets. However, there are volatility spillover effects of the financial crisis sparked in 2008 from the US to the NIE’s markets.     

The static and dynamic connectedness of environmental,social, and governance investments: International evidence

We investigate the connectedness of the most significant global equity indices that comprise companies with the highest environmental, social, and governance (ESG) performance. Motivated by the rapid growth of socially responsible investing during the last two decades, we examine whether these investments are prone to similar exogenous economic and financial shocks as their conventional counterparts. Employing a variety of influential macroeconomic and financial variables over the period 10/1/2007–4/15/2020, we document statistically significant and consistent transmissions between the employed equity indices throughout the sample period. In particular, the connectedness exhibits dynamic patterns during three periods: the European sovereign debt crisis, the systemic Greek problems, and the outbreak of the coronavirus pandemic. We also find that developed equity markets are the shock transmitters to Asian and other emerging markets. Our results highlight the risk of contagion and the diminishing portfolio diversification benefits of these equity indices during turbulent periods.     

Oil shocks and stock volatility: new evidence via a Bayesian,graph-based VAR approach

ABSTRACT

This article examines the temporal dependence between three oil shocks and realized volatility in the stock markets of G20 countries between 1994 and 2019. By applying a novel, graphical, Bayesian VAR (BGVAR) model, we calculate unidirectional linkages of oil and stock volatility with a full and segmented sample. The results suggest an overall causality from stock volatility to oil shocks. For certain short, specific periods, the causal direction reverses. Depending on the country and the source of an oil shock, the magnitude and type of the effect can vary considerably. Specific oil-market shocks occur most often in our full sample. In a time-varying structure, oil supply shocks’ impact on stock volatility is more prominent, and net oil-importing countries’ responses to these shocks are greater than for oil-exporting countries. In addition, we find that relationship dynamics can capture market information, such as global economic growth during the 2008–2009 financial crisis.     

Foreign Direct Investment and External Financing Conditions: Evidence from Normal and Crisis Times

In this paper, we investigate the effects that external financing conditions in source and destination countries have on foreign direct investment (FDI) in normal and crisis times, using a difference‐in‐differences approach. We find that the financial development of the source and destination countries has a strong positive impact on the relative volume of FDI in financially vulnerable sectors in normal times. However, during the 2008–2010 global financial crisis, the relative volume of FDI in financially vulnerable sectors fell relatively more in financially developed source and destination countries, most notably if these countries experienced a credit crisis.     

FINANCIAL CRISES AND INTERNATIONAL STOCK MARKET VOLATILITY TRANSMISSION

This paper examines the interplay between stock market returns and their volatility, focusing on the Asian and global financial crises of 1997–98 and 2008–09 for Australia, Singapore, the UK, and the US. We use a multivariate generalised autoregressive conditional heteroskedasticity (MGARCH) model and weekly data (January 1992–June 2009). Based on the results obtained from the mean return equations, we could not find any significant impact on returns arising from the Asian crisis and more recent global financial crises across these four markets. However, both crises significantly increased the stock return volatilities across all of the four markets. Not surprisingly, it is also found that the US stock market is the most crucial market impacting on the volatilities of smaller economies such as Australia. Our results provide evidence of own and cross ARCH and GARCH effects among all four markets, suggesting the existence of significant volatility and cross volatility spillovers across all four markets. A high degree of time‐varying co‐volatility among these markets indicates that investors will be highly unlikely to benefit from diversifying their financial portfolio by acquiring stocks within these four countries only.     

Macro-uncertainty and financial stress spillovers in the Eurozone

This paper studies macro-uncertainty and financial distress spillovers within the Eurozone. We propose a novel methodology to derive the indices of spillovers, by using a Global Vector autoregressive model fitted to data sampled at mixed-frequencies. We find that macro-uncertainty and financial stress are relatively disconnected in the Eurozone. We also show that connectedness between core and periphery Eurozone countries mainly operates through financial stress and it decreases since the outbreak of the Eurozone sovereign debt crisis (with an increasing role played by peripheral countries). As a result, investors and policymakers should monitor separately macro-uncertainty and financial stress. Finally, we find that the mixed-frequency data should be taken into account in this context, otherwise, the spillovers can be underestimated.     

Where does the risk lie? Systemic risk and tail risk networks in the Chinese financial market

This paper studies tail risk connectedness and systemic risk in the Chinese financial market in the post-crisis period of 2009–2017. We adopt the conditional value at risk (CoVaR) and complex theory to construct the tail risk connectedness network and identify the systemically important financial institutions during the Chinese financial turbulence. We precisely characterize the dynamic evolution of the tail risk connectedness at the institutional, sector and market levels. We find that, during normal times, the banking sector contributes the most tail risk to the market and that the real estate sector contributes the least. However, during the crisis period, the real estate sector played its role and became the most significant tail risk emitter. In addition, we identify the significant important financial institutions in the Chinese financial market, highlighting the fact that the four state-owned commercial banks and two largest insurance companies dominate. Our results are helpful to both regulators for developing macroprudential supervision policies and investors interested in the Chinese financial market for making risk management strategies.     

Housing markets,monetary policy,and the international co‐movement of housing bubbles

We analyze whether there was co‐movement in bubbles at the international level from the mid‐1990s to 2018 using a data set of developed and emerging economies. We first identify the markets that were more prone to volatility and speculation before the crisis. Second, we determine and compare the responses of bubbles in housing markets to monetary policy in a Bayesian time‐varying framework. We then study the co‐movement of bubble responses to monetary shocks before and after the crisis using a dynamic factor model. This approach allows us to disentangle a common global factor from factors specific to high/low speculative housing markets.