Intraday effect of news on emerging European forex markets: An event study analysis

We analyze the impact of euro zone/German and U.S. macroeconomic news announcements and the communication of the monetary policy settings of the ECB and the Fed on the forex markets of new EU members. We employ an event study methodology to analyze intraday data from 2011–2015. Our comprehensive analysis of the wide variety of macroeconomic information during the post-GFC period shows that: (i) macroeconomic announcements affect the value of the new EU country exchange rates, (ii) the origin of the announcement matters, (iii) the type of announcement matters, (iv) different types of news (good, bad or neutral) result in different reactions, (v) markets react not only after the news release but also before, (vi) when the U.S. dollar is the base currency the impact of the news is larger than in the case of the euro, (vii) announcements on ECB monetary policy result in stronger effects than those of the Fed, (viii) temporary inefficiencies are present in new EU country forex markets, (ix) new EU country exchange rates react differently to positive US news during the EU debt crisis compared to the rest of the period.     

Dynamic interactions between Central European currencies and the euro

We argue that the non-euro EU currencies of Central European countries have moved increasingly together with the euro in foreign exchange markets. To prove this point, we examine the dynamics of cross-elasticity between selected Central European currencies (the Czech koruna, Polish zloty, and Hungarian forint) and the euro exchange rates in U.S. dollar terms using daily data for the January 4, 2000 to April 5, 2019 sample period. We adopt the cross-elasticity model originally proposed and tested for the EU currencies by Orlowski (2016). To test the currency co-movements over time, we employ the Bai-Perron multiple breakpoint regression and two-state Markov switching tests. We find evidence of increasing co-movements between the Central European currencies and the euro that become particularly pronounced in times of financial distress. Co-movements of local exchange rates with the euro are also more pronounced during the euro-periphery sovereign debt crisis.     

Spillover shifts in the FX market: Implication for the behavior of a safe haven currency

This paper explores the behavior of safe haven currencies by analyzing shock transmission among major currencies. To capture state-dependent directional spillovers, we incorporate Markov regime-switching parameters into the spillover model and estimate them using a Bayesian MCMC algorithm. By considering weekly data from September 2000 to March 2020, we find that the Japanese yen and the Swiss franc, both of which yield relatively high excess returns in times of crisis, exhibit larger reductions of shock transmission and reception during periods of high-volatility than during periods of low-volatility. This implies that the safe haven currencies insulate themselves from shocks from other currencies by reducing interdependence across the FX market in crisis.     

Credit risk of subsidiaries of foreign banks in CEE countries: Impacts of the parent bank and home country economic environment

In this study, using dynamic panel data, we investigated the influences of the home country economic environment and parent bank condition on the credit risk of foreign banks in Central and Eastern European (CEE) countries. We concentrated on the international transmission of credit risk through the internal capital market of multinational banks. Our theoretical assumptions follow studies that document how the parent bank condition and home country macroeconomic environment affect lending in subsidiaries in CEE countries. However, our results go one step further. We provide evidence that these relationships are reflected in subsidiaries’ credit risk in CEE countries. Our results suggest that the size and profitability of the parent bank have negative influences, while the liquidity and credit risk of the parent bank have positive influences on the subsidiaries’ credit risk. Moreover, the GDP growth in the parent bank’s country has a negative effect on the credit risk of the subsidiary, while the lending rate and liquidity in the parent bank country cause growth in the credit risk. These results indicate a new channel of international risk transfer from parent bank countries to host countries through foreign-owned banks.     

The interrelationship between order flow,exchange rate,and the role of American economic news

The aim of this study is to investigate the comovement and interconnection between US economic news in seven different categories and the exchange rate of the US dollar against the currencies of seven developed countries, with the corresponding order flows. Our empirical investigation is based on using the Spearman correlation method to analyze the correlation between the economic news and exchange rate using order flows before, during, and after the financial news announcement. We use wavelet transform analysis to assess the comovement in the time–frequency domains. The bivariate outcomes demonstrate that changes in economic news impact price changes for only a short time, or even no time at all. Moreover, for longer time periods, the order flow is shown to have stronger coherency than economic news and a steady comovement against the exchange rate. Wavelet coherency reveals that the lead-lag effect of order flow changes on price changes starts in the medium frequency bands to low-frequency bands during the entire sample period. In addition, economic news weakens the correlation between exchange rate and order flow in the short run, which means that the combination of economic news and order flow can achieve a higher degree of consistency of exchange rate. The implication of this study is that macro policy makers, import and export enterprises, foreign exchange investors and exchange fund managers can predict the future exchange rate based on the order flow and choose hedging measures under different objectives.     

The interest rate spreads in the Czech Republic: Different loans,different determinants?

We analyze the determinants of interest rate spreads of different loan categories in the Czech Republic during 2004–2011. We employ a detailed bank supervisory dataset that allows us to construct the actual spreads for four loan categories, namely small and large corporate loans, consumer loans and mortgages, on a monthly basis. Our regression analysis shows that bank and macroeconomic characteristics matter more for setting the spreads for small corporate loans and mortgages rather than for large corporate loans and consumer loans. Interest rate risk determines the spreads for all loan categories. The global financial crisis has, to a certain extent, increased the responsiveness of spreads to interest rate risk and liquidity risk.     

Impact of macroeconomic surprises on the Brazilian yield curve and expected inflation

This study investigates how unexpected announcements in Brazilian and U.S. macroeconomic indicators affect the term structure of nominal interest rates, as well as implicit inflation expectations and real interest rates. Using daily data from March 2005 to December 2012, we employ an extended Vector Error Correction Model to take into account nonstationarity and the long-term equilibrium among different maturities of those curves. We found empirical evidence that macroeconomic surprises, domestic (Brazilian) and external (U.S. American), which lead the market to believe that there might be a higher risk of inflation or an overheated economy, raise nominal interest rates, implicit expected inflation and real interest rates. Surprisingly, in relation to the efficient-market hypothesis, we found that some macroeconomic surprises have a lagged effect on the yield curves. We also tested the impact of the global financial crisis of 2007–09 and found that the crisis affected significantly the direction and magnitude of the responses to macroeconomic news.     

Foreign banks and short-term macroeconomic fluctuations: Do financial development and regions matter?

In this paper, we investigate the association between bank integration, measured with the share of foreign banks in the banking industry, and macroeconomic volatility in emerging economies. We find a negative and significant relationship between bank integration and short-run fluctuations in output, consumption and investment, controlling for financial development, bank concentration and the real effective exchange rate. However, this relationship is found to be positive at high levels of financial development. We also explore the association at the regional level and show that the presence of foreign banks in Latin America is negatively and significantly correlated with macroeconomic volatility both in normal times and times of crisis. Despite widespread concerns in emerging Europe, which experienced greater financial vulnerability during the global financial crisis, we find no significant association between growth volatilities and bank integration.     

Dynamics of floating exchange rate: how important are capital flows relative to macroeconomic fundamentals?

While focusing on traditional macroeconomic fundamentals, existing literature has provided little understanding of impacts of various types of capital flows on the dynamics of floating exchange rates. This paper develops a structural VAR model that takes into account macroeconomic fundamentals as well as various types of capital flows in explaining the fluctuations of the floating exchange rates of the Australian dollar, the Canadian dollar, and the U.S. dollar over 1980–2004. Our main findings are as follows. Among the traditional macroeconomic fundamentals, relative interest rate still plays a significant role in explaining exchange rate dynamics for all three currencies. Capital flows play an important role in explaining the fluctuations in the Australian dollar and the Canadian dollar, but not the U.S. dollar. In particular, portfolio investment is the most explanatory factor for the Australian dollar and the Canadian dollar. For the U.S. dollar, relative interest rate explains the most of exchange rate fluctuations, especially in the medium to the long run. The results indicate that capital market transactions do play important roles in determining exchange rates; however, it may have different implications for the reserve currencies versus the non-reserve currencies. Further research is needed.     

Determinants of discretionary fiscal policy in Central and Eastern Europe

This paper explores economic, political and institutional determinants of discretionary fiscal policy in 11 Central and Eastern European (CEE) countries from 2000 to 2013 and compares discretionary fiscal reactions before and during the global economic crisis. We find that fiscal policy was procyclical to the output gap both before and during the crisis, while no fiscal reaction to the absorption gap was captured. Our results also indicate a negative relationship between the level of public debt and deficits over the entire period and the pre-crisis period, suggesting that rising public debt represented a brake on future deficits. We also find that election cycles affect the fiscal deficit, but only during the pre-crisis period, while no evidence of a relationship between fiscal policy and government fragmentation was captured. We find some evidence that in the pre-crisis period the CEE countries with a fixed exchange rate regime ran lower deficits than those with a floating regime, whereas during the crisis no impact of the exchange rate regime on the fiscal deficit was found. There is also some evidence that an arrangement with the IMF was associated with lower deficits for the entire sample period. However, no impact of EU accession on the fiscal stance was identified.     

人民币汇率增加弹性和参考一篮子货币汇率形成机制研究

在央行货币政策目标下,可以确定最优汇率水平及汇率水平的调整。我国外汇体制改革要建立以市场供求为基础的,参考一篮子货币的有管理的浮动汇率制度,央行的汇率目标应由人民币对美元稳定转变为参考人民币有效汇率目标,确保人民币币值的总体水平稳定。实际上,参考篮子货币,人民币对美元汇率的弹性将显著增加。央行应逐步放宽人民币对美元和非美元货币的波动幅度,人民币汇率最终将由市场供求来决定,发挥汇率配置资源的基础作用。     

Measures to tame credit growth: Are they effective?

This paper focuses on policy measures taken to curb bank credit growth in the private sector in the pre-crisis period 2003–2007. Our analysis is based on an original survey conducted in 2010 on eleven central banks in Central and Eastern Europe (CEE). The findings reveal substantial policy intervention: a total of 82 measures were implemented in CEE during the period considered. The paper presents a panel data analysis of the effectiveness of the policy measures adopted in the region. The overall results indicate that certain measures – particularly asset classification and provisioning rules and loan eligibility criteria – might have been effective in taming bank credit growth, especially if applied in the context of more general policy measures featuring a combination of various instruments. However, in countries in which the authorities managed to somewhat decrease the flows of bank credit into the economy, the measures were often circumvented via direct, cross-border credit from foreign banks and credit provided by domestic, non-bank financial companies.     

Stress-testing US bank holding companies: A dynamic panel quantile regression approach

We propose an econometric framework for estimating capital shortfalls of bank holding companies (BHCs) under pre-specified macroeconomic scenarios. To capture the nonlinear dynamics of bank losses and revenues during periods of financial stress, we use a fixed effects quantile autoregressive (FE-QAR) model with exogenous macroeconomic covariates, an approach that delivers a superior out-of-sample forecasting performance relative to the standard linear framework. According to the out-of-sample forecasts, the realized net charge-offs during the 2007–09 crisis fall within the multi-step-ahead density forecasts implied by the FE-QAR model, but are frequently outside the density forecasts generated using the corresponding linear model. This difference reflects the fact that the linear specification substantially underestimates loan losses, especially for real estate loan portfolios. Employing the macroeconomic stress scenario used in CCAR 2012, we use the density forecasts generated by the FE-QAR model to simulate capital shortfalls for a panel of large BHCs. For almost all institutions in the sample, the FE-QAR model generates capital shortfalls that are considerably higher than those implied by its linear counterpart, which suggests that our approach has the potential to detect emerging vulnerabilities in the financial system.     

From inflation to exchange rate targeting: Estimating the stabilization effects for a small open economy

This paper attempts to estimate possible losses in macroeconomic stabilization due to a move from inflation to exchange rate targeting on the example of the Czech Republic. The authors use an estimated New Keynesian policy model, typical inflation and exchange rate targeting rules, and representative central bank loss functions to carry out these estimations. The authors find that for the Czech Republic, moving from the historically applied inflation targeting to optimized exchange rate targeting should not involve any significant losses in macroeconomic stabilization. However, the Czech National Bank could improve its stabilization outcomes while remaining an inflation targeter. This requires the Czech National Bank to respond more strongly to increasing expected future inflation and to be less concerned about an opening output gap when adjusting its policy rate. Moving then from such optimized inflation targeting to optimized exchange rate targeting can result in significant losses in economic stabilization in the magnitude of 0.4–2% points of GDP growth.     

Estimating the Bank of Mexico’s reaction function in the last three decades: A Bayesian DSGE approach with rolling-windows

This paper uses a small open economy Dynamic Stochastic General Equilibrium (DSGE) model to investigate how Mexico’s central bank has conducted its monetary policy in the period 1995–2019. The main objective of the paper is to document the systematic changes in the Bank of Mexico’s reaction function by analyzing possible shifts in the parameters of the policy rule. The central bank’s policy is modeled using a Taylor rule that relates the nominal interest rate to output, inflation, and the exchange rate. I employ Bayesian computational techniques and conduct rolling-window estimations to explicitly show the transition of the policy coefficients over the sample period. Furthermore, the paper examines the macroeconomic implications of these changes through rolling-window impulse–response functions. The results suggest that the Bank of Mexico’s response to inflation has been steady since 1995, while the response to output and the exchange rate has decreased and stabilized after 2002.     

Conditional heteroscedasticity of exchange rates: further results based on the fractionally integrated approach

A recent article (Tse, 1998 ) published in this journal analysed the conditional heteroscedasticity of the yen–dollar exchange rate based on the fractionally integrated asymmetric power ARCH model. In this paper, we present replication results using Tse's ( 1998 ) yen–dollar series. We also examine the robustness of Tse's ( 1998 ) findings across different currencies, sample periods and non‐nested GARCH‐type models. Unlike Tse ( 1998 ), we find some evidence of asymmetric conditional volatility for daily returns of currencies measured against the dollar or the yen. Copyright © 2004 John Wiley & Sons, Ltd.     

Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009

In this work we consider the forecasting of macroeconomic variables during an economic crisis. The focus is on a specific class of models, the so-called single hidden-layer feed-forward autoregressive neural network models. What makes these models interesting in the present context is the fact that they form a class of universal approximators and may be expected to work well during exceptional periods such as major economic crises. Neural network models are often difficult to estimate, and we follow the idea of White (2006) of transforming the specification and nonlinear estimation problem into a linear model selection and estimation problem. To this end, we employ three automatic modelling devices. One of them is White’s QuickNet, but we also consider Autometrics, which is well known to time series econometricians, and the Marginal Bridge Estimator, which is better known to statisticians. The performances of these three model selectors are compared by looking at the accuracy of the forecasts of the estimated neural network models. We apply the neural network model and the three modelling techniques to monthly industrial production and unemployment series from the G7 countries and the four Scandinavian ones, and focus on forecasting during the economic crisis 2007–2009. The forecast accuracy is measured using the root mean square forecast error. Hypothesis testing is also used to compare the performances of the different techniques.     

Extreme risk spillovers between crude palm oil prices and exchange rates

This study is the first attempt to examine the extreme risk spillovers between Malaysian crude palm oil (CPO) and foreign exchange currencies of the three largest CPO importers: India, the European Union and China throughout the global financial crisis. Using daily data of three currencies, CPO spot and futures from 2000 to 2018, our results show: First, before the crisis, the unexpected change in foreign exchange rates is the primary driver of risk spillover to the CPO market. Second, during the crisis, the extreme movement of CPO spot returns is dominant in the Malaysian exchange rates relative to the euro. Third, after the crisis, the spillover flows from the CPO market to the foreign exchange market. Overall, our findings show the importance of CPO pricing dynamics in mitigating foreign exchange risk over the crisis period. This paper contributes to the extant literature by recognizing the effect of risk spillover on the targeted foreign exchange rate for portfolio allocation.     

Real exchange rate misalignment: Prelude to crisis?

A model of the long-run equilibrium real exchange rate based upon macroeconomic fundamentals is employed to calculate real exchange rate misalignments for Poland and Russia during the 1990s using the Beveridge and Nelson (Beveridge, S., Nelson, C., 1981. A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the business cycle. J. Monetary Econ. 7, 151–74) decomposition of macrofundamentals into transitory and permanent components. Short-run movements of the real exchange rate are estimated with ARIMA and GARCH error correction specifications. The different nominal exchange rate regimes of the two countries generate different levels of misalignment and different responses to exogenous shocks. The average misalignment in Russia is substantially greater than that in Poland, indicating incipient pressures to devalue the ruble immediately preceding the August 1998 crisis. The half-life of an exogenous shock is found to be much shorter for Poland than for Russia in the pre-crisis period. Dynamic forecasts indicate that the movements of the real exchange rate in the post-crisis period are significantly different from those in the pre-crisis period. Thus, the currency crisis in Russia could not be anticipated with the movements of the real exchange rate estimated with the macroeconomic fundamentals.     

Exchange rates in the new EU accession countries: What have we learned from the forerunners?

Estimation and simulation of sustainable real exchange rates in some of the new EU accession countries point to potential difficulties in sustaining the ERM2 regime if entered too soon and with weak policies. According to the estimates, the Czech, Hungarian, and Polish currencies were overvalued in 2003. Simulations, conditional on large-model macroeconomic projections, suggest that under current policies those currencies would be unlikely to stay within the ERM2 stability corridor during 2004–2010. In-sample simulations for Greece, Portugal, and Spain indicate both a much smaller misalignment of national currencies prior to ERM2, and a more stable path of real exchange rates over the medium term than can be expected for the new accession countries.