News and correlations of CEEC-3 financial markets

We employ DCC-MGARCH models to investigate conditional correlations between six CEEC-3 financial markets. In general, the highest correlations exist between Hungary and Poland in foreign exchange and stock markets. Short-term money markets are somewhat isolated from each other. We find that the associations of CEEC-3 exchange rates versus euro are weaker than those versus the US dollar. The persistence of the effect of shocks on the time-varying correlations is strongest for foreign exchange and stock markets, indicating a tendency toward contagion. In searching for the origins of financial market volatility in the CEEC-3, we uncover some evidence of Granger-causality on the foreign exchange markets. Finally, using a pool model, we investigate the impact of euro area, US, and CEEC-3 news on the correlations. Apart from ECB monetary policy news, we observe no broad effects of international news on correlations; instead, local news exerts an influence, which suggests a dominance of country- or market-specific circumstances.     

Market efficiency broadcasted live: ECB code words and euro exchange rates

This paper examines the impact of the European Central Bank (ECB) monetary policy on euro exchange rate returns using an event study with intraday data for five currencies (the euro exchange rate versus the US dollar, the British pound, the Canadian dollar, the Swiss franc, and the Japanese yen). I construct two indicators of news about monetary policy stemming separately from policy decisions and the press conference. Estimation results show that the surprise component of communication has highly statistically significant effects on exchange rates, whereas the response of euro exchange rates to the unanticipated change in the policy rate is more muted. I also estimate the financial market impact on euro exchange rates of US, European and German macroeconomic news, and I show that the impact of the ECB press conference is economically important. The process of fully incorporating the ECB news shock takes about 1 h, and thus this result suggests that the whole press conference (both the Introductory Statement and the Q&A part) provides valuable information to market participants.     

Foreign News and Spillovers in Emerging European Stock Markets

We analyze foreign news and spillovers in the emerging EU stock markets (the Czech Republic, Hungary, and Poland). We employ high‐frequency five‐minute intraday data on stock market index returns and four classes of EU and US macroeconomic announcements during 2004–07. We account for the difference of each announcement from its market expectation and we jointly model the volatility of the returns accounting for intraday movements and day‐of‐the‐week effects. Our findings show that intraday interactions on the new EU markets are strongly determined by mature stock markets as well as the macroeconomic news originating thereby. We show that strong contemporaneous links across markets are present even after controlling for macroeconomic announcements. Finally, in terms of specific announcements, we are able to show the exact sources of macro news spillovers from the developed foreign markets to the three new EU markets under research.     

EMU-related news and financial markets in the Czech Republic,Hungary and Poland

We analyse the impact of news on five financial markets in the Czech Republic, Hungary and Poland using a newly constructed data set in a Generalized Autoregressive Conditional Heteroscedastic (GARCH) framework. Macroeconomic shocks (on Gross Domestic Product (GDP), inflation rate, current account and trade balance) are constructed as deviations from expected values. Economic and Monetary Union (EMU)-related political and fiscal news is captured as news dummies. Macroeconomic shocks significantly affect short-term interest rates and, to a lesser extent, other financial variables. Political and fiscal news has an impact on long-term bond yields and exchange rates. News displayed prominently in our media sources has a greater impact on financial markets than other news and, in addition, the sources of news themselves matter. We also discover asymmetric effects of news within markets. Finally, using a pooled GARCH model we find that macroeconomic shocks have the strongest impact on financial markets in Hungary, while political news has the largest influence in both Hungary and Poland.     

The impact of news,oil prices,and global market developments on Russian financial markets1

This paper analyses the impact of news, oil prices, and international financial market developments on daily returns on Russian bond and stock markets. First, regarding returns, energy news affects returns, while news from the war in Chechnya is not significant. Market volatility does not appear to be sensitive to either type of news. Second, a significant effect of the growth in oil prices on Russian stock returns is detected. Third, the international influence on Russian financial markets depends upon the degree of financial liberalization. The higher the degree of financial liberalization, the stronger is the impact of US stock returns on Russian financial markets. In addition, banking reform and interest rate liberalization efforts seem to dictate the globalization of Russian stock markets, while it is the progress in liberalizing securities markets and non‐bank financial institutions that matters more for the globalization of Russian bond markets.     

Macroeconomic News and the Euro/Dollar Exchange Rate

This paper investigates to what extent daily movements in the euro/dollar rate were driven by news about the macroeconomic situation in the USA and the euro area during the first two years of EMU. We examine whether market participants reacted to news in different ways depending on whether the news came from the USA or from the euro area, and whether the news was good or bad. Furthermore, we investigate whether traders' reaction to news has changed over time. We find that macroeconomic news has a statistically significant correlation with daily movements of the euro against the dollar. However, this relationship exhibits considerable time variation. There are indications of asymmetric response, but to different extents at different times. Our results also provide evidence that the market seemed to ignore good news and remain fixated on bad news from the euro area, as often claimed in market commentaries, but only for some time. Finally, we find evidence that the impact of macroeconomic news on the euro/dollar rate was stronger when news switches from good to bad or vice versa.
(J.E.L.: F31).     

Does the currency board matter? US news and Argentine financial market reaction

Using a Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, we study the effects of the US monetary policy and macroeconomic announcements on Argentine money, stock and foreign exchange markets over the period January 1998 to July 2007. We show, first, that both types of news have a significant impact on all markets. Second, there are noticeable differences in reaction for different subsamples: Argentine money markets were more dependent on US news under the currency board than after it was abandoned as the floating exchange rate partly absorbs spillover effects from the US. Finally, we find that the US-dollar-denominated assets react less to US news than peso-denominated assets, which suggests that the currency board was not completely credible during its final years.     

Effects of US interest rates and news on the daily interest rates of a highly indebted emerging economy: evidence from Turkey

It has been widely demonstrated that asset prices react sensitively to macroeconomic news releases both in the industrialized countries and emerging markets. However, there are contradicting results on the effects of changes in interest rates of industrialized countries on asset prices of emerging markets. In heavily indebted economies, in addition to these factors, political news and announcements from international institutions that may increase or decrease concerns about debt sustainability can affect asset prices as well. This potential notwithstanding, there has been relatively limited empirical work on the effects of such variables. The objective of this study is to quantify the impact of all of these factors on interest rates of a highly indebted emerging economy. Using daily post-crisis data of the Turkish economy we show that both good and bad political news, International Monetary Fund announcements, and European Union related news significantly affected secondary market government securities yields, whereas volatility of yields was affected mainly by bad news releases. Changes in US Treasury bond rates and ‘appetite’ for risk of foreign investors did not affect government securities yields in the period analysed.     

Policy uncertainty and international financial markets: the case of Brexit

ABSTRACT

This study assesses the impact of the Brexit probability on both the UK and on international financial markets, for the first and the second statistical moments. As financial markets are by nature highly interlinked, one might expect that the uncertainty engendered by Brexit also has an impact on financial markets in several other countries. We first estimate the time-varying interactions between UK policy uncertainty, which to a large extent is attributed to uncertainty about Brexit and UK financial market volatilities. Second, we use two other measures of the perceived probability of Brexit before the referendum, namely daily data released by Betfair and results of polls published by Bloomberg. Based on these data sets, and using both panel and single-country SUR estimation methods, we analyse the Brexit effect on levels of stock returns, sovereign CDS, 10-year interest rates in 19 predominantly European countries, and those of the British pound and the euro. We show that Brexit-induced policy uncertainty will continue to cause instability in key financial markets and has the potential to damage the real economy in both the UK and other European countries. The main losers outside the UK are the ‘GIIPS’ economies: Greece, Ireland, Italy, Portugal and Spain.     

Predicting long-run risk factors of stock returns: Evidence from Australia

This study utilises the stock market data provided by the Australian Equity Database to analyse the long-run relationship between Australian stock returns and key macroeconomic variables over the period 1926–2017. To measure the diverse risk factors in the stock market, we examine the possible determinants in four main categories: real, financial, domestic and international. Our results reveal that historical stock returns are strongly connected to financial and international factors as compared to real and domestic factors. Both the 1973–1974 OPEC Oil Price Crisis and 2007–2008 Global Financial Crisis had dampening effects on stock returns. There is a positive association between the US and Australian stock markets in the long-run. These findings on stock market dynamics and their linkages with domestic and international macroeconomic policy changes in the long-run have important implications for traders and practitioners.     

Volatility spillovers and macroeconomic announcements: evidence from crude oil markets

The paper applies an event study methodologyaims to investigate the macroeconomic announcements effects on Standard&Poor’s500 and oil prices. Our results provide evidence for a significant impact of the US macroeconomic news on oil prices. This impact is split into two components, namely the direct effect (common response) and indirect effect (volatility transmission). Altogether our results show that the volatility transmission is bidirectional. Not only a significant volatility transmission from the oil market to the US stock market is revealed, but also a high volatility transmission is recorded from the oil market to the stock market especially after the release of consumption indicators.     

Uncertainty and employment dynamics in the euro area and the US

In this paper we investigate the local and foreign effects of uncertainty shocks on unemployment in two large economic regions, the United States (US) and the euro area (EA). We deploy a Bayesian Markov-switching structural vector autoregressive model identified via heteroscedasticity. Two alternative specifications are considered with the shocks of interest being labelled as “US (or EA) demand uncertainty” and “US (or EA) financial market uncertainty”. We reach similar conclusions using both specifications: (i) US shocks have an effect on both the local and foreign labour markets while euro area shocks are much less influential; (ii) the US labour market tends to react and absorb shocks more quickly than the labour market in the euro area does. As economic theory predicts, the reaction to uncertainty shocks points to possible market imperfections that are region specific.     

Determinants of government bond spreads in the euro area: in good times as in bad

Government bond spreads increased rapidly during the financial turmoil in the euro area. In general, government bond spreads in the euro area are attributed to solvency and liquidity risks and determinants thereof. This paper proposes the use of latent processes to model the time variation present in the evaluation of these determinants. In contrast to approaches using global measures like the US corporate bond spreads or short-term interest rates to approximate time variation, our model is also flexible enough to deal with the unfolding of the financial crisis. The findings suggest that the expected debt-to-GDP ratio explains a major part of the differences in bond yields in the euro area between 2003 and the unfolding of the financial crises. Coefficients for many determinants increased rapidly during the financial crises. Especially market capitalization gained relative importance in winter 2008/2009.     

Uncertainty and the United States’ election effect on the economy: some thoughts and empirical illustrations

This study discusses the general impact of Donald Trump’s election on the US and European economies as well as the effect of this political news on financial markets. To this end, we discuss different hypotheses from a theoretical view and empirically illustrate these thoughts when possible. Our analysis suggests that while the expected Trump measures might boost the US economy in the short term, these actions would have negative long-term consequences in the United States. Further, this new US policy will affect European economies and destabilize financial markets while increasing uncertainty, which could constrain growth and increase the downside risk.     

Stock market comovements in Central Europe: Evidence from the asymmetric DCC model

We examine time-varying stock market comovements in Central Europe employing the asymmetric dynamic conditional correlation multivariate GARCH model. Using daily data from 2001 to 2011, we find that the correlations among stock markets in Central Europe and between Central Europe vis-à-vis the euro area are strong. The correlations increased over time, particularly after their EU entry and largely remained at these levels during the financial crisis. The stock markets exhibit asymmetry in the conditional variances and to a certain extent in the conditional correlations as well, pointing to the importance of applying a sufficiently flexible econometric framework. The conditional variances and correlations are positively related, suggesting that the diversification benefits decrease disproportionally during volatile periods.     

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.     

European monetary union, adjustment, and exchange rate variability

This paper uses a three-country, three-good, factor-specific model of trade with wage rigidities to investigate how European Monetary Union is likely to affect exchange rate variability. Focusing on international macroeconomic adjustment under both exogenous and optimizing monetary policies, it shows that the relative variability (against external currencies) of the euro and a basket of predecessor currencies depends on the relative sizes and specialization patterns of countries and the relative importance of different shocks. Monetary union is likely to decrease (increase) aggregate European exchange rate variability for shocks to industries in which large (small) euro area countries specialize.     

A core–periphery framework in stock markets of the euro zone

The introduction of the euro was expected to have an effect not only on real convergence of economies but also on stock markets. This research compares the dynamics and synchronization of stock market regimes in European markets before and after the euro launch. Countries of the euro zone are found to have different dynamics with regard to switching between bull and bear markets, but the differences become less pronounced after the introduction of the single currency, increasing the overall level of stock market synchronization. Nevertheless, Austria and Portugal reduced the level of regime synchronization with other stock markets. The results delineate a framework of core–periphery stock markets, i.e., a large group of stock markets that share the same market regime, with some others on the periphery characterized by distinctive behavior.     

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.     

Bond market and stock market integration in Europe: a smooth transition approach

This article investigates whether there has been a structural increase in financial market integration in nine European countries and the US in the period 1980 to 2003. We employ a GARCH model with a smoothly time-varying correlation to estimate the date of change and the speed of the transition between the low and high correlation regimes. Our test produces strong evidence of greater comovement across the board for both stock markets and government bond markets. Dates of change and speeds of adjustment vary widely across country linkages. Stock market integration is a more gradual process than bond market integration. The impact of European monetary union (EMU) is rather limited, as it has mainly affected the timing of bond market correlation gains (but hardly their size) and has had little discernible effect on stock market integration.