Euro Area Research Articles

Predictive Power of Key Financial Variables During the Unconventional Monetary Policy Era

ABSTRACTThis study investigates the forecasting power of three well‐established financial predictors during the prolonged era of unconventional monetary policy: the term spread, the short‐term interest rate, and stock returns. The focus is on predicting GDP growth in both the United States and the Euro area. Our out‐of‐sample forecasting analysis specifically targets the period characterized by the short‐term interest rate effectively bounded at or near the zero lower bound. We recognize that the information content of the term spread is likely to change under such circumstances. Similarly, the dynamics of the short‐term interest rate could be altered due to unconventional monetary policy measures. To address this, we modify the short rate calculation by incorporating the shadow interest. This shadow interest rate can go much lower on the negative side than normal interest rates, making it a potentially more accurate rate to describe the monetary policy stance of central banks. The forecasting analysis covers the period from 2009:1 to 2022:3. Our results unambiguously reveal that the predictive power of the term spread completely vanishes during the zero lower bound era. Although the shadow rate has minor predictive content, the strongest predictor consistently lies in real stock returns during unconventional monetary policy. Our findings challenge the conventional wisdom and the stylized fact of the term spread as the most reliable financial predictor for economic activity. According to our results, this does not hold true under unconventional monetary policy, and using the shadow interest rate does not make a major difference in that respect. By shedding light on the changing dynamics during unconventional monetary policy, our study contributes novel insights to the existing literature.

Navigating the housing channel of monetary policy across euro area regions

Navigating the housing channel of monetary policy across euro area regions

Underlying Inflation and Asymmetric Risks

Abstract We propose a new measure of underlying inflation that informs, in real time, about asymmetric risks on the outlook of inflationary pressures. The asymmetries are generated through nonlinearities induced by economic activity. The new indicator is based on a multivariate regime-switching framework jointly estimated on disaggregated sub-components of the euro area HICP and has several additional advantages. First, it is able to swiftly infer abrupt changes in underlying inflation. Second, it helps to timely track turning points in underlying inflation. Third, the proposed indicator also has a satisfactory performance with respect to various criteria relevant for inflation monitoring.

This is going to hurt: Weather anomalies, supply chain pressures and inflation

As climate change accelerates, the frequency and severity of extreme weather events are expected to worsen and have greater adverse consequences for ecosystems, physical infrastructure, and economic activity across the world. This paper investigates how weather anomalies affect global supply chains and inflation dynamics. Using monthly data for six large and well-diversified economies (China, the Euro area, Japan, Korea, the United Kingdom, and the United States) over the period 1997–2021, we implement a structural vector autoregressive model and document that weather anomalies could disrupt supply chains and subsequently lead to inflationary pressures. Our results—based on the monthly data and robust to alternative estimation methodologies—show that these effects vary across countries, depending on the severity of weather shocks and vulnerability to supply chain disruptions. The impact of weather shocks on supply chains and inflation dynamics is likely to become more pronounced with accelerating climate change that can have heterogeneous effects. These findings have important policy implications. Central bankers should consider the impact of weather anomalies on supply chains and inflation dynamics to prevent entrenching second-round effects and de-anchoring of inflation expectations. More directly, however, governments can invest more for climate change adaptation to strengthen critical infrastructure and thereby minimize supply chain disruptions.

Do Banks Practice What They Preach? Brown Lending and Environmental Disclosure in the Euro Area

Do Banks Practice What They Preach? Brown Lending and Environmental Disclosure in the Euro Area

Credit Supply or Demand? The Changing Role of Structural Market Forces in Bank Lending*

ABSTRACT Recent crises have shown that disruptions in credit markets can have serious macroeconomic consequences. This paper aims to assess the structural drivers of the bank lending market to non-financial corporations using the structural VAR methodology in a small, open, and bank-based euro area economy – Slovakia. The results show that credit demand shocks (loans demanded by firms) are at least as important as credit supply shocks (loans supplied by banks) in the lending market, and that this importance changes over the cycle. These findings have important policy implications, as responding to these shocks may require different policy measures.

The current world economic situation and its impact on China's foreign exchange and foreign investment

In 2023, the world economy shows clear growth divergence and complex changes driven by technology. The United States economy is showing strong resilience, but its growth is still affected by inventory movements. In contrast, the economies of the euro area and Japan face serious challenges, while some emerging economies, such as India and Vietnam, show signs of a positive recovery. Meanwhile, prices in major economies generally rose, international trade improved slightly and financial markets picked up. In the coming period of time, the world economy is likely to be in the process of bottoming out and bottoming out, will continue to affect China's foreign trade and foreign investment fundamentals, China should overcome the risks and challenges, enhance confidence, increase policy support, and make every effort to create an environment conducive to the development of an export-oriented economy, and actively tap the new advantages of industrial competition, and to promote China's sustainable development of the economy.

The influence of unconventional monetary policy tools: an euro area perspective

Purpose – This article aims to investigate the influence of unconventional monetary policy tools (UMPTs) employed by the European Central Bank (ECB) on the inflation rate and GDP growth rate within the euro area, motivated by the principles of the Taylor rule. Research methodology – Elastic net regression with ARIMA residuals was used to analyse the relationship between UMPTs and economic indicators, measured by adjusted R-squared. Six samples were constructed, and hypothesis testing was performed using moving block bootstrapping. Residual diagnostics were used for model validation. Findings – The study revealed significant impacts of UMPTs, particularly in combination with interest rates, on inflation rates. However, adjusted R-square values for GDP growth rate were less pronounced, indicating a more complex relationship. Research contributes to understanding the dynamics of monetary policy transmission mechanisms, informing policy institutions, and guiding future research directions. Research limitations – Limitations include the focus on the euro area and the absence of analysis in other major economies. Future research should address these limitations and incorporate additional variables for a more comprehensive analysis. Practical implications – The findings provide insight for policymakers regarding the efficacy of UMPTs in influencing inflation rates, aiding in informed decision-making in monetary policy formulation and implementation. Originality/Value – This study contributes novelty by comprehensively analysing the relationship between UMPTs and economic indicators within the euro area, providing valuable insight into monetary policy institutions, and guiding future research directions.

Inflation, Fiscal Policy, and Inequality: The Impact of the Post‐Pandemic Price Surge and Fiscal Measures on European Households

AbstractFollowing the inflation surge in the aftermath of the pandemic crisis, Euro Area governments adopted a large array of fiscal measures to cushion its impact on households. The inflationary shock and related fiscal measures affected households differently depending on their country, their consumption patterns, and their position in the income distribution. This paper uncovers the aggregate and distributional impact of this inflationary shock, as well as the impact of the government measures aimed at supporting households and containing prices. The analysis is carried out for 2022 and includes Germany, France, Italy, Spain, Portugal, and Greece. Our work confirms that the purchasing power and welfare of low‐income households was more severely affected than that of high‐income households. Fiscal measures contributed significantly to closing this gap, though with country differences. However, most fiscal measures were not particularly targeted at low‐income households, implying a low cost‐effectiveness in protecting the poorest in some countries.

New Facts on Consumer Price Rigidity in the Euro Area

Using CPI microdata for 11 euro area countries over 2010–2019, we document new findings on consumer price rigidity in the euro area: (i) the average frequency of price changes is 12 percent; (ii) the distribution of price changes is highly dispersed, with frequent large and small changes; (iii) price changes are more frequent in January; and (iv) the overall size of price changes rises with inflation, but their frequency does not; these changes in the size are driven by movements in the fraction of price changes that are increases, not by the absolute size of price increases or decreases. (JEL E31, E52, F33, L11)

Labor market policies in high- and low-interest rate environments: Evidence from the euro area

Do labor market policies initiated in periods of loose monetary policy yield different outcomes from those introduced when monetary tightening prevails? Using data from 11 euro-area members up to 2010–and extending to 17 countries up to 2020–we analyze three labor market policies: replacement rates, spending on active labor market policies (ALMPs), and employment protection. We find that these policies deliver different macroeconomic outcomes in low- and high-interest rate environments. In particular, ALMPs reduce unemployment if implemented under a loose monetary policy but not otherwise, whereas higher employment protection delivers expansionary effects under a tight monetary policy. These findings highlight that the effectiveness of labor market policies is significantly influenced by the monetary policy environment, emphasizing the need for coordinated policy design. Methodologically, we contribute by proposing to average local projections using Mallow’s Cp criterion, allowing for inferences that are robust to mis-specification and accommodate non-linearities.

Targeted monetary policy, dual rates, and bank risk-taking

We assess whether dual interest rates – central bank funding at rates below the interest rates on reserves – influence the size and composition of bank credit. We measure exposure to the policy using daily reactions of bank funding costs to the announcement of the recalibration of the ECB’s TLTROs in April 2020. We then use the Euro area credit register to follow the evolution of bank lending conditions and risk-taking. We find that the measure had a strong positive effect on bank credit and, in contrast to a standard rate cut, was not accompanied by an increase in risk-taking.

The Optimal Quantity of CBDC in a Bank-Based Economy

We show that the estimated effect of digital euro news on bank stock valuations and lending depends on the bank’s deposit reliance and the central bank digital currency (CBDC) design features. Using a quantitative DSGE model calibrated to the euro area economy that replicates such evidence, we find that CBDC issuance yields nontrivial welfare trade-offs between, on one side, the positive expansion of liquidity services and the improved stabilization of deposit funding and lending and, on the other side, a negative bank disintermediation effect. The optimal amount of CBDC lies between 15 and 45 percent of quarterly GDP. (JEL E23, E42, E58, F33, G14, G21)

Inflation forecasting in turbulent times

AbstractIn the recent years many countries were hit by a series of macroeconomic shocks, most notably as a consequence of the COVID-19 pandemic and Russia’s invasion in Ukraine, raising inflation rates to multi-decade highs and suspending well-documented macroeconomic relationships. To capture these tail events, we propose a mixed-frequency Bayesian vector autoregressive (BVAR) model with Student t-distributed innovations or with stochastic volatility. Whereas inflation, industrial production, as well as oil and gas prices are available at monthly frequencies, real gross domestic product (GDP) is observed at a quarterly frequency. Thus, we apply a mixed-frequency setup using the forward-filtering–backward-sampling algorithm to generate monthly real GDP growth rates. We forecast inflation in those euro area countries that extensively import energy from Russia and therefore have been heavily exposed to the recent oil and gas price shocks. To measure the forecast performance of the mixed-frequency BVAR model, we compare our inflation forecasts with those generated by a battery of competing inflation forecasting models. The proposed BVAR models dominate the competition for all countries in terms of the log predictive density score.

Geopolitical risks and energy uncertainty: Implications for global and domestic energy prices

This paper investigates the interaction between global geopolitical risks and global energy uncertainty by focusing on their implications for global and domestic energy prices of 157 countries. The empirical investigation is based on a structural vector autoregression model covering the monthly sample period between 1996 m1-2022m10, where global real economic activity is controlled for. The results show that a unit shock to global geopolitical risk (normalized to one standard deviation) results in about 1.13 units of an increase in global energy uncertainty (normalized to one standard deviation) in the long run (after two years), whereas the corresponding effects on global energy prices are statistically insignificant. In contrast, a unit shock to global energy uncertainty results in about 52 % (57 %) of a reduction in global energy prices (global economic activity), acting like negative global demand shocks. When statistically significant country-specific results are considered in the long run, a positive shock to the global geopolitical risk affects domestic energy prices positively (negatively) in 10 % (10 %) of oil producing countries, 32.1 % (19.7 %) of non-oil producing countries, 47.2 % (0 %) of advanced economies, 55 % (0 %) of euro area countries, 25 % (22.4 %) of emerging markets, and 22.2 % (26.7 %) of developing countries. In comparison, a positive shock to the global energy uncertainty affects domestic energy prices positively (negatively) in 5 % (40 %) of oil producing countries, 3.6 % (54 %) of non-oil producing countries, 0 % (61.1 %) of advanced economies, 0 % (50 %) of euro area countries, 3.9 % (56.6 %) of emerging markets, and 6.7 % (37.8 %) of developing countries. Important policy implications follow regarding the energy security of countries.

An unemployment re-insurance scheme for the eurozone? Stabilizing and redistributive effects

This paper develops a decomposition framework to study the importance of different stabilization channels of an unemployment re-insurance scheme for the euro area. Running counterfactual simulations based on household micro data for the period 2000–21 and studying the effect of different trigger variables and activation rules, the paper finds that the re-insurance would have cushioned on average 7%–14% (3%–6%) of employment income losses through interregional (intertemporal) smoothing. The simulated re-insurance scheme would have been revenue-neutral at EA-19, but not at the member-state level. Average annual inpayments and payouts would have been below 0.1 per cent of GDP. A back-of-the-envelope calculation shows that the re-insurance could offset up to 18% of future output shocks. These results suggest that a re-insurance would significantly strengthen public risk sharing in the euro area.

Statistical Modeling of Main Inflation Drivers During the Post-Pandemic Period: The Case of Lithuania

The main inflation factors were analyzed of relatively high inflation in Lithuania after the COVID-19 pandemic in the context of European Union and euro area. The system dynamics model was developed mathematically describing the interrelations between inflation and the set of macroeconomic variables. The hypothetical reduced inflation rates were calculated modeling the different scenarios of macroeconomic changes under the inflationary environment.

RELATIONSHIP BETWEEN ENERGY AND FOOD PRICES IN THE EURO AREA

Over the past five years, global economic developments have been accompanied by a number of challenges. After a period of economic development, the global economy is facing a significant challenge caused by the COVID-19 crisis. There have been factory closures, border closures and supply chain disruptions. All this is reflected in the EU and the euro area. This was followed by a period of recovery and accelerating inflation. The war on the territory of Ukraine is also having a significant impact on inflationary processes. This further jeopardises the supply of energy resources and their prices begin to rise at a very high rate. The shock of rising energy prices has also been reflected in sharp increases in food prices. In the euro area, there have been periods when food prices have risen by more than 17% on an annual basis and energy products by almost 60% in some months. All these developments highlight the need to examine the links between energy and food prices. This is necessary in order to be able to take quick decisions in the event of new volatility in energy prices. The aim of the study is to establish a causal relationship between the dynamics of energy and food prices and the time lag over which food prices react to increases in energy prices. A correlation analysis is carried out and a causal relationship between the two indicators is established by regression analysis at different time lags. The hypothesis tested is that, over the last five years, there has been a strong month-to-month correlation between energy prices and food prices with a lag of six months. For the purpose of regression analysis and hypothesis testing, monthly data for food inflation and inflation for the group Electricity, gas and other fuels have been used. The data are taken from the structure of the Harmonised Index of Consumer Prices published by Eurostat. The detailed regression analysis shows that there is a statistically significant linear relationship between the price indices of the two product groups with a lag of six months. The Granger causality test confirms the results of the dynamic, correlation and regression analysis. The results of the test show not only the existence of a causal relationship, but also the ability of energy price changes to predict food price dynamics. All this leads to the conclusion that in periods of significant changes in energy prices, food prices can be expected to follow similar dynamics within six months. This relationship could be used both for forecasting and for taking specific economic measures.

Labour at risk

We propose a Bayesian VAR model with stochastic volatility and time varying skewness to estimate the degree of labour at risk in the euro area and in the United States. We model the asymmetry of the shocks to changes in the unemployment rate as a function of real activity and financial risk factors. We find that the conditional distribution of the changes in the unemployment rate displays time-varying volatility and skewness, with peaks coinciding with the Global Financial Crisis and the COVID-19 pandemic, in both areas. We also take advantage of the multivariate nature of our parametric model to measure the joint risk of large increases in the unemployment rate together with large annual rates of inflation, a proxy for “stagflation” risks. The model captures an increase of the risk of stagflation with the surge in inflation that followed the recent energy crisis in 2022. Nevertheless, stagflation risks were contained by the resilient performance of the labour market in both areas. Labour at risk is therefore important for the assessment of the inflation-unemployment trade-off.

Recent evidence on the sovereign-bank nexus in the euro area

This paper estimates sovereign-bank default risk spillovers in the euro area. Spillovers spiked at the start of the COVID-19 pandemic and of the Russian invasion of Ukraine but remained contained during the March 2023 banking sector turmoil. Panel regressions find that higher banks’ sovereign exposures increase spillovers between the creditor bank and the borrowing sovereign. Countries with lower GDP growth, higher default probabilities, and a higher debt burden transmit more risk to banks. Larger, less capitalized and more funding-risk-exposed banks convey more default risk to sovereigns. Public aid to the financial sector reduces spillovers.