The impact of foreign macroeconomic news on financial markets in the Czech Republic, Hungary, and Poland

In this paper, we investigate the effects of euro area and US macroeconomic news on financial markets in the Czech Republic, Hungary, and Poland (CEEC-3) from 1999 to 2006. Using a GARCH model, we examine the impact of news on daily returns of 3-month interest rates, stock market indices, exchange rates versus the euro, and the US dollar. First, both US and European macroeconomic news has a significant impact on CEEC-3 financial markets. Second, the process of European integration is accompanied by an increasing importance of euro area news relative to US news. Third, there are country-specific differences: for example, the Czech stock market is relatively more affected by foreign news since the Copenhagen Summit in December 2002. In general, our results support the hypothesis of a deepening euro area influence on the CEEC-3 over time and a corresponding reduction in the relative importance of US shocks.     

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.     

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.     

Exploring the interaction between stock price index and exchange rates: an asymmetric threshold approach

This article examines the impact of stock market news on the foreign exchange markets of USA, Canada and UK, employing an innovative extension of the asymmetric threshold model of Apergis and Miller (2006). Under this framework we can disentangle the reaction of foreign exchange market to bad or good news and small or large news of stock returns. Our comprehensive daily data-set spans the period from January 1990 to June 2014. Using a cointegration and error correction model, we document the existence of a causal relationship between stock market and foreign exchange markets. Most interestingly, our results derived from the asymmetric threshold model confirm that the relationship between stock and foreign exchange markets is sensitive to short-term good or bad news and short-term small or large news. Our findings entail significant implications for policymakers, governments, risk managers and international investors.     

How do great shocks influence the correlation between oil and international stock markets?

We investigate the impacts of great shocks (2003 Iraq War and 2008 Financial Crisis) on the correlations between oil and US/China stock markets, utilizing a novel MADCC (mixed asymmetry dynamic conditional correlation) model. This model successfully captures the coexistence of opposite signed asymmetries. We find that great shocks indeed increased the correlations. Further, results from the news impact surfaces indicate that correlations between oil and stock markets are higher to joint negative shocks; however, correlation between stock markets has stronger response to joint positive shocks.     

The January effect in the foreign exchange market: Evidence for seasonal equity carry trades

In this study, we investigate monthly seasonality in the foreign exchange market. Given the well-known recurrent higher returns in some month than in others in stock markets around the world, we consider it likely that a seasonal outperformance of a country’s stock market over another is associated with similar seasonal patterns in capital flows and exchange rates. A seasonal profit (carry trade) opportunity can be created by the simultaneous appreciation of a country’s currency and the outperformance of its stock market. By focusing on the world’s key currency pairs, the US dollar-Deutsche mark and the US dollar-euro, and by using a Markov-switching framework, we document persistent January and December effects in the foreign exchange market from 1971 to 2017. Analysis of the German-US stock returns differential and their bilateral capital flows reveal similar month effects in 65% of the whole sample.     

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.     

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.     

Time-varying dependence in European equity markets: A contagion and investor sentiment driven analysis

In the light of the global financial crisis and sovereign debt crisis, this paper investigates the dependence patterns in 24 European equity markets from January 5, 2004 to July 1, 2016. We further examine whether these stressful events trigger contagion. Given that investors tend to behave irrationally in turmoil periods, we add to the literature by studying the effect of investor sentiment on markets correlations. Our results reveal heterogeneity in the time-varying dependence and across markets. Contagion is confirmed in turbulent times, a spillover effect from periphery euro area being detected. We find that similar sentiments increase correlations, especially in crises, suggesting that investors’ perceptions are an important channel of moving markets in the same direction. Furthermore, negative sentiments, such as fear or pessimism, amplify the linkages between markets. Our results offer useful insights to policy makers for reacting timely to financial shocks and for designing a more integrated market.     

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.     

Stock market integration of emerging Asian economies: Patterns and causes

In this study, we examine the patterns and causes of stock market integration of selected emerging Asian nations against the US, Australia, China, and India for the period 1 January 2001 to 31 March 2012. We compare patterns of market integration for countries on a daily, weekly, or monthly basis using the time-varying correlation technique, namely, GARCH-dynamic conditional correlations (DCCs). In doing so, we suggest that opportunities in cross border investment vary by frequencies. We also divide daily data into subsamples and find that correlations were strongest during the global financial crisis (GFC) of 2007–09. The time varying bilateral correlations are found to be highly volatile. We also investigate the causes of identified correlations and find that apart from the GFC, the underlying economic and financial conditions have also been responsible for the higher correlations between these stock markets.     

Worldwide impact of IMF policies during the Asian crisis: who does the IMF help,creditors or crisis countries?

This paper examines the effects of International Monetary Fund (IMF) policy announcements on financial markets worldwide. We investigate reactions from stock, bond, foreign exchange and futures markets and banking and financial companies during the Asian crisis. We explore the impact of IMF bailouts not only on crisis countries, but also on main creditor countries. We study the impact of local governments’ and public responses in crisis countries to account for interaction between the IMF and local parties. We show IMF involvement and local governments’ co-operation actually helps crisis countries but not creditors. We show that in crisis countries, financial markets generally react unfavourably to their governments’ initial demands for IMF assistance, while compliance of the crisis countries with the IMF policy action is commonly perceived as good news. Financial markets in crisis countries react negatively to prolonged negotiations and government actions against IMF policy. Creditor countries’ financial markets are not responsive to IMF actions in crisis countries. We discuss policy implications of findings.     

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.     

The impact of subprime mortgage on correlation between stock and FX markets

Our researching period contains the American subprime mortgage crisis, an insignificant financial crisis and the Asian financial crisis periods. We analyse and compare the interrelations between the stock and Foreign Exchange (FX) markets in Taiwan by the daily data of stock prices and NTD/US exchange rates. The empirical results found that there is no effect on the long-term equilibrium between the stock and FX markets during the American subprime mortgage crisis. It also shows that, whether financial crisis occurs or not, there is no cointegration between the stock and FX markets. Furthermore, the results find that there exists bidirectional causality between the stock and FX markets among the American subprime mortgage crisis and the Asian financial crisis period. However, there is only unidirectional relationship from stock prices to exchange rates during insignificant financial crisis period. Such results imply that two financial crises do significantly affect the short-term interrelationships between the stock and FX markets and lead to more importance for the connection between two markets.     

Financialization of agricultural commodities: Evidence from China

Speculation in the commodity futures market distorts commodity prices, driving them away from rational levels. This phenomenon, which is known as the financialization of commodities, has raised significant concerns in recent years. Particularly, in the agricultural market, ‘financialized’ commodities have been blamed for high world food prices. In this paper, we examine the financialization of agricultural commodities in China. To do so, a time-varying copula is employed to investigate the dependence structure between commodities and stock markets. Four insightful results are obtained. First, positive correlations between agricultural commodities and stock markets demonstrate the financialization of agricultural commodities. Second, the identified correlations are time-varying and idiosyncratic with respect to products. Third, the agricultural commodity market is more closely correlated with the domestic stock market than with the overseas market. Fourth, a growing dependence between commodities and the stock markets is detected and the co-movement became stronger after the global financial crisis.     

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.     

Eurocurrency interest rate linkages: A frequency domain analysis

We investigate relations between Eurocurrency interest rates using frequency domain methods, which permit us to decompose test statistics into short-term and long-term causality measures. We document significant linkages between international interest rates. Specifically, we show that the euro plays an increasingly important role in global money markets. In fact, a subperiod analysis suggests that the euro interest rate leads the US dollar rate during the recent financial crisis. We discuss the implications of the findings for understanding global monetary policy dynamics as well as modeling and forecasting of short-term interest rates.     

Dynamic correlation and equicorrelation analysis of global financial turmoil: evidence from emerging East Asian stock markets

This study investigates the dynamic conditional correlations (DCCs) between eight emerging East Asian stock markets and the US stock market and analyses the dynamic equicorrelation among these nine stock markets. We find a significant increase in the conditional correlations and equicorrelation in the first phase of the global financial crisis. We refer to this finding as contagion from the US stock market to the emerging East Asian markets. We also find an additional significant process of increasing correlations and equicorrelation (herding) in the second phase of the global financial crisis. Further, we employ two new models, namely DCCX-MGARCH (a DCC Multivariate GARCH model with exogenous variables) and DECOX-MGARCH (a dynamic equicorrelation multivariate GARCH model with exogenous variables), to identify the channels of contagion. We find that an increase in the VIX Index increases the conditional correlations and equicorrelation, while increases in TED spreads decrease the conditional correlations of six emerging East Asian countries with the USA. We compare the accuracy of the conditional correlation estimates of the DCC and DCCX models (or DECO and DECOX models) by constructing a loss function. We find that the DCCX (DECOX) model provides more accurate conditional correlation estimates than the DCC (DECO) model by extracting additional information from exogenous variables.     

Structural change and international stock market interdependence: Evidence from Asian emerging markets

This study investigates the evolving pattern of the interdependence among selected Asian emerging markets and three major stock markets (Japan, UK and US). Using rolling cointegration methods and the recently developed algorithms of inductive causation, we found that time-varying cointegration relationships exist among these stock markets. The results indicate that the wave of financial liberalization policies in the early 1990s led to a significant increase in market linkages which was later weakened during the 1997 Asian financial crisis. Furthermore, the data indicate that Japan and the US have the greatest influence on the emerging markets while the influence of Singapore and Thailand has increased since the Asian financial crisis.     

The comovement between exchange rates and stock prices in the Asian emerging markets

This study investigates the comovement between exchange rates and stock prices in the Asian emerging markets. The sample covers major institutional changes, such as market liberalization and financial crises, so as to examine how the short-term and long-term relations change after such events. The autoregressive distributed lag (ARDL) model proposed by Pesaran et al. (2001) is adopted, which allows us to deal with structural breaks easily, and to handle data that have integrals of different orders. Interest rates and foreign reserves are also included in the analysis to reduce potential omitted variable bias. My empirical results suggest that the comovement between exchange rates and stock prices becomes stronger during crisis periods, consistent with contagion or spillover between asset prices, when compared with tranquil periods. Furthermore, most of the spillovers during crisis periods can be attributed to the channel running from stock price shocks to the exchange rate, suggesting that governments should stimulate economic growth and stock markets to attract capital inflow, thereby preventing a currency crisis. However, the industry causality analysis shows the comovement is not stronger for export-oriented industries for all periods, such as industrials and technology industries, thus implying that comovement between exchange rates and stock prices in the Asian emerging markets is generally driven by capital account balance rather than that of trade.