Volatility spillovers of unconventional monetary policy to emerging market economies

Emerging market economies (EMEs) have experienced waves of market volatility since the global financial crisis, with some commentators ascribing this at least partly related to monetary policy decisions in advanced economies. This paper examines volatility spillovers from changes in the size of the balance sheets of the Federal Reserve (FED) and European Central Bank (ECB) to EMEs from 2003 to 2018. We find that volatility spillovers to EME currency markets are greater in magnitude from the FED, while EME stock and bond markets are also vulnerable to volatility spillovers in a similar magnitude from both the ECB and the FED. We find only limited evidence of volatility transmission to the real economy of EMEs following the monetary policy actions of the FED and ECB. Finally, we show that the proportion of the volatility in EMEs that is accounted for by changes in FED and ECB balance sheets shifts over time. Our paper has important policy implications for EMEs, notably in respect of volatility transmission channels.     

COVID-19, asset markets and capital flows

This paper empirically examines the reaction of global financial markets across 38 economies to the COVID-19 outbreak, with special focus on the dynamics of capital flows across 14 emerging market economies. The effectiveness of fiscal and monetary policy responses to COVID-19 is also tested. Using daily data over the period January 4, 2010 to August 31, 2020, and controlling for a host of domestic and global macroeconomic and financial factors, we use a fixed effects panel approach and a structural VAR framework to show that emerging markets have been more heavily affected than advanced economies. In particular, emerging economies in Asia and Europe have experienced the sharpest impacts on stock, bond and exchange rates due to COVID-19, as well as abrupt and substantial capital outflows. Quantitative easing and fiscal stimulus packages mainly helped to boost stock prices, notably for advanced and emerging economies in Asia. Our findings also highlight the role that global factors and developments in the world's leading financial centers have on financial conditions in EMEs. Importantly, the impact of COVID-19 related quantitative easing measures by central banks in advanced countries extended to EMEs, with significant positive spillovers to EME stock markets in Asia, Europe and Latin America. Going forward, while the ultimate resolution of COVID-19 may be expected to lead to a market correction as uncertainty declines, our impulse response analysis suggests that there may be persistent effects on bond markets in emerging Europe and on EME capital flows.     

The effect of US stress tests on monetary policy spillovers to emerging markets

This paper explores the transmission of US monetary policy through US banks to emerging market economies (EMEs) and the role that stress tests play in this transmission. Data on US banks’ monthly commercial and industrial loan originations shows that: (a) US bank lending to EMEs was sensitive to domestic monetary policy changes during the zero‐lower bound period. (b) Effects of monetary easing were heterogeneous across banks and depended on banks’ stress test results, a proxy for their capital strength. Only banks that comfortably passed the stress tests issued more loans to EME borrowers. (c) Effects of monetary tightening were more similar across banks. (d) Banks shifted their lending to safer borrowers within EMEs in response to monetary easing, leaving the risk of their overall loan books unchanged. These results support the hypothesis that bank capital affects the transmission of easier monetary policy, including across borders. We conjecture that bank lending to EMEs during the zero‐lower bound period would have been even higher had the United States not introduced stress tests for their banks.     

Fed and ECB monetary policy spillovers to Emerging Market Economies

This paper presents evidence that the international spillovers of both Fed and ECB conventional monetary policies to Emerging Market Economies (EMEs) are global. The result comes from the panel Bayesian Vector Autoregressive (BVAR) model estimated for EMEs in which we control i.a. for foreign central banks’ policy shocks. Furthermore, in the separate BVAR model for Central and Eastern European (CEE) countries we show that the ECB is the main foreign central bank for these economies — after controlling for its shocks, their Fed counterparts play a very moderate role in driving GDP and prices in CEE.     

Information Transmission between Mature and Emerging Equity Markets During Normal and Crisis Periods: An Empirical Examination

In this paper, we examine the price discovery and volatility spillovers between eight mature market economies (MMEs) and eight emerging market economies (EMEs) from January 2003 to July 2014, covering three sub-periods—prior to the 2007–09 global financial crisis (GFC), during the crisis, and post-crisis. The results of price discovery indicate that MMEs lead EMEs in the pre-crisis and post-crisis periods. All MMEs are cointegrated with China in the pre-crisis period but not in the post-crisis period. Dynamic cointegration results reconfirm our findings from Johansen’s co-integration test. The asymmetric dynamic conditional correlation (ADCC-GARCH) coefficients suggest a regional pattern among MMEs and EMEs, except in the case of European MMEs with South Africa. Employing BEKK-GARCH model, we find that volatility spillovers of MMEs with China and of Italy with EMEs weakened in the post-crisis period as compared to the pre-crisis period implying that the GFC damaged the information transmission process, particularly for China and Italy. While China is a large economy with strong trade linkages with the rest of the world, Italy is one of the larger European economies which was in relatively greater distress during the EDC. The findings have implications for policy makers and investors.

     

Volatility Spillovers and Contagion from Mature to Emerging Stock Markets

This paper models volatility spillovers from mature to emerging stock markets, tests for changes in the transmission mechanism during turbulences in mature markets, and examines the implications for conditional correlations between mature and emerging market returns. Tri‐variate GARCH–BEKK models of returns in mature, regional emerging, and local emerging markets are estimated for 41 emerging market economies (EMEs). Wald tests suggest that mature market volatility affects conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. In the majority of the sample EMEs, conditional correlations between local and mature markets increase during these episodes. While conditional variances in local markets rise as well, volatility in mature markets rises more, and this shift is the main factor behind the increase in conditional correlations. With few exceptions, conditional beta coefficients between mature and emerging markets tend to be unchanged or lower during turbulences.     

How the ECB and the US Fed set interest rates

Monetary policies of the European Central Bank (ECB) and US Fed can be characterized by ‘Taylor rules’, that is both central banks seem to be setting rates by taking into account the ‘output gap’ and inflation. We also set up and tested Taylor rules which incorporate money growth and the euro–dollar exchange rate, thereby improving the ‘fit’ between actual and Taylor rule based rates. In general, Taylor rules appear to be a much better way of describing Fed policy than ECB policy. Simulations suggest that the ECB's short-term interest rates have been at a much lower level in the last 2 years compared with what a Taylor rule would suggest.     

Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence,information transmission and market co-movement

This paper examines the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015–2016) for the first time. Employing the Bayesian VAR and BEKK GARCH, we observe that price and volatility spillover behaviours are different during the stable and stress periods. Particularly, price spillovers from China to other regional markets are more significant during a bullish period, showing that ‘good news’ emanating from China has strong impacts on its neighbours during better market condition. In the turbulent period, we observe strong shock spillover effects and enhanced volatility spillovers from China to most Asia-Pacific stock markets. This is because China, as an important trading partner and strategic financial centre shows to exert significant influence on the Asia-Pacific region through various economic channels. We also find that the Asia-Pacific stock markets spill over their shocks to China during the crisis, indicating that China is becoming more integrated with the regional financial markets.     

Distance and beyond: What drives financial flows to emerging economies?

A major theme in the empirical literature is whether country-specific ‘pull’ or external ‘push’ factors drive international capital flows. In this paper we show that pull-push interactions matter: the response of international investors to country-specific developments depends on global volatility/liquidity stress conditions. We model asset-trade behaviour of investors: with limited information, strong institutional quality ‘pulls’ asset demand; mounting tensions in global markets amplify portfolio adjustments. We derive an empirically testable equation for cross-border bank flows to emerging economies (EMEs) and focus on pull-push interactions that trigger financial vulnerabilities. We find that global volatility amplifies demand for institutional quality, prior to the recent crisis, implying that EMEs with weak institutional settings are exposed to sharp capital retrenchments. In the aftermath of the crisis, the liquidity easing in advanced economies drives down concerns for EMEs' developments, boosting flows and challenging EMEs' ability to use capital controls to mitigate unbridled flows.     

Fed speak on main street: Central bank communication and household expectations

Central banks emphasize the use of communication as a tool of monetary policy. As central banks increasingly recognize that low public informedness limits their ability to communicate with the general public, several have begun to explicitly tailor their communication strategies for a broader audience. Most research focuses on central bank communication with financial markets, but several recent strands of literature address aspects of communication with households. I survey the literature addressing the rationales and efficacy of central bank communication with households, supplementing this with new evidence from an assortment of consumer survey data. I draw from the literature on rational inattention, financial literacy, and political communication to suggest explanations for limited household receptiveness to central bank communications. Finally, I focus on one specific aim of central bank communication, which is to anchor inflation expectations. Previous literature finds that the announcement of an explicit inflation target helps anchor expectations among financial market participants. Using U.S. consumer survey data, I show that consumers’ expectations are imperfectly anchored and that the anchoring of more informed consumers’ expectations increased more than the anchoring of less informed consumers’ expectations following the Fed’s announcement of a 2% inflation target.     

危机管理中美联储货币政策工具创新对我国的启示

为缓解本次危机对金融市场和实体经济的冲击,以美联储为代表的各主要央行推出大量以信贷宽松或数量宽松为特点的非常规货币政策,对危机中受损的常规货币政策传导渠道进行弥补,加强了各国央行的合作力度,有效缓解了危机带来的负面冲击。本文将集中研究美联储的货币政策工具的特点、效果,并总结对我国的启示,这也将有助于我国深入理解美联储即将采用的第二轮量化宽松货币政策的本质。     

Financial cycles in asset markets and regions

This paper provides a comprehensive analysis of financial cycles in asset markets and regions. Using a large sample of 38 advanced and emerging economies to enable a comparative assessment, the analysis conforms with the prevailing literature pertaining to the characterization of financial cycles in advanced economies, but finds that equity market cycles in emerging market economies (EMEs) in Asia, Latin America, and Eastern Europe may be a more useful gauge of the financial cycle compared to cycles in credit and property markets. Similar to more advanced economies, it is found that financial and business cycles in emerging economies are synchronized, albeit partially and with some cross-country heterogeneity. This underscores the importance for policy makers to be vigilant of interlinkages between real and financial sectors, pointing toward a need for carefully designed macroprudential policies. Finally, it is found that financial cycles in emerging markets remain vulnerable to global risk aversion in financial markets and spillovers from the US, thereby reinforcing the importance of continuing to strengthen domestic macroeconomic fundamentals, and develop further local financial sectors through targeted structural reforms.     

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.     

Home sweet host: A cross‐country perspective on prudential and monetary policy spillovers through global banks

Prudential regulation of banks is multi‐layered: policy changes by home‐country authorities affect banks’ global operations across many jurisdictions; policy changes by host‐country authorities shape banks’ operations in the host jurisdiction regardless of the nationality of the parent bank. Do these policies create (unintended) cross‐border spillovers? Similarly, monetary policy actions by major central banks may also have effects on the behaviour of banks in other countries. This paper examines the effect that changes in home‐ and host‐country prudential measures have on cross‐border dollar credit provision, and how these interact with US monetary policy. We first run panel regressions with both layers of regulation, to examine which has a greater effect on cross‐border lending. We then use a novel approach to decompose growth in cross‐border bank lending into separate home, host and common components, and then match each with the corresponding home or host policies. Our results suggest that prudential policies can have spillover effects, which depend on the instrument used and on whether a bank's home or host country implemented them. Home policies tend to have larger spillovers on cross‐border US dollar lending than host policies. We also find that a tightening of US monetary policy can compound the spillovers of some prudential measures.     

THE DYNAMIC RELATION BETWEEN RETURNS,TRADING VOLUME,AND VOLATILITY: LESSONS FROM SPILLOVERS BETWEEN ASIA AND THE UNITED STATES

This paper investigates the dynamic relationship between index returns, return volatility, and trading volume for eight Asian markets and the US. We find cross‐border spillovers in returns to be non‐existent, spillovers in absolute returns between Asia and the US to be strong in both directions, and spillovers in volatility to run from Asia to the US. Trading volume, especially on the Asian markets, depends on shocks in domestic and foreign returns as well as on volatility, especially those shocks originating in the US. However, only weak evidence is found for trading volume influencing other variables. In the light of the theoretical models, these results suggest sequential information arrivals, with investors being overconfident and applying positive feedback strategy. Furthermore, new information causes price volatility to rise due to differences in its interpretation among traders, but the subsequent market reaction takes the form of adjustment in price level, not volatility. Lastly, the intensity of cross‐border spillovers seems to have increased following the 1997 crisis, which we interpret as evidence of increased noisiness in prices and diversity in opinions about news originating abroad. Our findings might also help to understand the nature of financial crises, to predict their further developments and consequences.     

Spillovers from the USA to stock markets in Asia: a quantile regression approach

This article analyses return spillovers from the USA to stock markets in Asia by means of quantile regressions. Traditional studies consider spillovers as effects of the conditional means of foreign returns onto the conditional means of chronologically succeeding domestic markets’ returns. We, by contrast, study the full range of quantiles of the conditional distribution of the domestic markets’ returns. This enables us to document the detailed structure of spillovers across return quantiles. Generally, we find spillovers from the USA to Asia to be negative. Specifically, however, we reveal an asymmetric structure of spillovers with an increasing negative magnitude from lower to upper return quantiles. Theoretically, this pattern is consistent with an asymmetric overreaction of traders in Asia to news from the US market. Extensions from the baseline model further suggest the presence of contagion throughout the financial crisis of 2007–2008 as well as of calm-down effects over weekends.     

Volatility transmission between Islamic and conventional equity markets: evidence from causality-in-variance test

This study examines whether a volatility/risk transmission exists between the Dow Jones Islamic stock and three conventional stock markets for the United States, Europe and Asia during the pre- and the in- and post-2008 crisis periods. It also explores the volatility spillover dynamics between those markets and US Monetary policy, oil prices, global financial risk and uncertainty factors. The recently developed Hafner and Herwartz (2006)’s causality-in-variance test provides evidence of risk transfers between these seemingly different equity markets, indicating a contagion between them during the full sample and the subperiods. The volatility structure of these markets is dominated by short-run volatility in the first period and by high long-run volatility in the second period. The volatility impulse response analysis indicates a similar volatility transmission pattern although it is characterized by a more volatile and short-lived structure in the second period. It also appears that the Islamic equity market responds to shocks from the risk factors and not from the oil price and the US economic policy uncertainty index during both periods.     

Measuring the effectiveness of US monetary policy during the COVID-19 recession

The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.     

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.     

International Spillovers of Output Growth and Output Growth Volatility: Evidence from the G7

This paper examines the transmission of GDP growth and GDP growth volatility among the G7 countries over the period 1960Q1 – 2010Q4, using a multivariate GARCH model and volatility impulse response functions (VIRFs) to identify the source, magnitude and the duration of volatility spillovers. Results indicate the presence of positive own-country GDP growth spillovers in each country and cross-country GDP growth spillovers among most of the G7 countries. In addition, the large number of significant own-country output growth volatility spillovers and cross-country output growth volatility spillovers indicates that output growth shocks in most of the G7 countries affect output growth volatility in the other remaining countries. An additional finding is that the duration of output growth volatility spillovers has increased over time from some seven quarters in the 1970s to some ten quarters during the recent crisis, which is likely to be due to the increased integration of goods and financial markets.