Ein Stopp der russischen Gaslieferungen würde zu einer Rezession der deutschen Wirtschaft führen. Nicht alle Regionen wären davon gleich betroffen: Vor allem wäre dort, wo das Verarbeitende Gewerbe ein großes Gewicht hat, mit einem deutlich stärkeren Einbruch der Wirtschaftsleistung zu...

In this paper, we perform a statistical analysis of the forecasting properties of Norges Bank's macroeconomic forecasts in the period 1998 - 2019. As a part of the analysis we assess Norges Bank's forecasts against similar forecasts by Statistics Norway and forecasts from simple models. The...

This paper investigates the predictive power of the shadow rate for the inflation rate in countries with a zero lower bound (the US, the UK and Canada) and in those with negative rates (Japan, the Euro Area and Switzerland). Using shadow rates obtained from two different models (the Wu-Xia...

We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with existing approaches. We conduct a systematic comparison of their predictive accuracy in settings with different cross-sectional (N) and time (T) dimensions and varying degrees of...

The purpose of this paper is to investigate the nature of professionals’ inflation forecasts inattentiveness. We introduce and empirically investigate a new generalized model of inattentiveness due to informational rigidity. In doing so, we outline a novel model that considers the non-linear...

By its emissions of greenhouse gases, economic activity is the source of climate change which affects pandemics that in turn can impact badly on economies. Across the three highly interacting disciplines in our title, time-series observations are measured at vastly different data frequencies:...

Historically, exchange rate forecasting models have exhibited poor out-of-sample performances and were inferior to the random walk model. Monthly panel data from 1973 to 2014 for ten currency pairs of OECD countries are used to make out-of sample forecasts with artificial neural networks and...

We provide key insights on expectation formation based on the Bloomberg economic survey: around two thirds of professional forecasters provide GDP forecasts that are temporally consistent, meaning that quarterly forecasts add up to the annual. Temporally consistent forecasts are not more...

We examine several measures of uncertainty to make five points. First, equity market traders and executives at nonfinancial firms have shared similar assessments about one-year-ahead uncertainty since the pandemic struck. Both the one-year VIX and our survey-based measure of firm-level...

The core personal consumption expenditure (PCE) price index, the Federal Reserve's preferred inflation gauge, rose to 5.2 percent on January 2022, which is the highest rate of increase since 40 years ago. Our estimates show that the annualized quarterly core PCE prices could reach 5.45% in the...

In this paper, we estimated the standard (macro-economic) import equation over the period 1995-2021Q2, using an import intensity-adjusted measure of aggregate demand (IAD) calculated from input-output tables at country level, and compared the results with regressions using GDP. Initially...

Ein Stopp der russischen Gaslieferungen würde zu einer Rezession der deutschen Wirtschaft führen. Nicht alle Regionen wären davon gleich betroffen: Vor allem wäre dort, wo das Verarbeitende Gewerbe ein großes Gewicht hat, mit einem deutlich stärkeren Einbruch der Wirtschaftsleistung zu...

In dem vorliegenden Bericht wird ein methodischer Zugang vorgestellt, der es gestattet, die Auswirkungen von Änderungen der Wirtschaftsentwicklung in Österreich auf die Emission von Treibhausgasen (THG) zeitnah sichtbar zu machen. Dieses Werkzeug, dessen Kern die Input-Output-Tabelle der...

Um die Potenziale der Mikrosimulation als ein Instrument zur Analyse der zukünftigen Versorgungslagen im Elementarbereich und zur Planung entsprechender (politischer) Interventionen zu untersuchen, wurde am Beispiel der Stadt Trier eine Mikrosimulationsstudie durchgeführt. Die Datenbasis...

Die Steuerschätzung im Mai 2021 ergab eine Abwärtskorrektur der Steueraufkommensprognose. Dies ist in erster Linie auf die zusätzlichen Rechtsänderungen zurückzuführen. Gleichzeitig sind aber die Einnahmen des Jahrs 2020 um 11,4 Mrd. Euro höher ausgefallen, als noch im November 2020...

We study the performance of many traditional and novel, text-based variables for in-sample and out-of-sample forecasting of oil spot, futures, and energy company stock returns, and changes in oil volatility, production, and inventories. After controlling for small-sample biases, we find evidence...

This paper summarises the findings of the Eurosystem’s Expert Group on Inflation Expectations (EGIE), which was one of the 13 work streams conducting analysis that fed into the ECB’s monetary policy strategy review. The EGIE was tasked with (i) reviewing the nature and behaviour of inflation...

We analyze an unbalanced panel monthly predictions of nonfarm payroll (NFP) changes between January 2008 and December 2020 sourced from Bloomberg. Unsurprisingly, we find that prediction quality varies across economists and we reject the hypothesis of equal predictive ability. In an error...

Using the minute-frequency data of the top 30 coins listed on Binance, which represent 86% of the total dollar trading volume of the cryptocurrency market, we document strong evidence of cross-cryptocurrency return predictability. The lagged returns of other cryptocurrencies serve as significant...

If investors are myopic mean-variance optimizers, a stock's expected return is linearly related to its beta in the cross section. The slope of the relation is the cross-sectional price of risk, which should equal the expected equity premium. We use this simple observation to forecast the...

We review the efficacy of three approaches to forecasting elections: econometric models that project outcomes on the basis of the state of the economy; public opinion polls; and election betting (prediction markets). We assess the efficacy of each in light of the 2004 Australian election. This...

This paper uses a comprehensive set of variables from the five largest Eurozone countries to compare the performance of simple univariate and machine learning-based multivariate models in predicting stock market crashes. The statistical predictive performance of a support vector machine-based...

The world economy has been struck by Covid-19 the same way people are struck by a lightning, fast and without warning, leaving nations out to dry on little to no reserves on their crucial supply side. Consequently, over the past year, economies shrunk, production drastically diminished, and...

Coronavirus disease (COVID-19) is a severe ongoing novel pandemic that has emerged in Wuhan, China, in December 2019. As of October 13, the outbreak has spread rapidly across the world, affecting over 38 million people, and causing over 1 million deaths. In this article, I analysed several time...

Subsequent to the October 1979 shift in monetary policy in the United States, interest rates in North America not only reached unprecedented levels,but also exhibited unprecedented volatility. This paper shows that the anticipated quarterly changes in long-term rates associated with the rational...

We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by several forecasting teams and collected by the United States Centers for Disease Control and Prevention during the first and second waves of the epidemic in the United States. We find three main...

We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by several forecasting teams and collected by the United States Centers for Disease Control and Prevention during the first and second waves of the epidemic in the United States. We find three main...

In this paper, the Box-Jenkins approach has been used to build the appropriate Autoregressive-Integrated Moving-Average (ARIMA) model to understand the short-term economic impact of coronavirus on India and Indonesia’s economies. The quarterly data for forecasting India and Indonesia's GDP was...

Long-term country equity premium forecasts based on a cross-sectional global factor model (CS-GFM), where factors represent compensation for risks proxied by valuation and financial variables, are superior, statistically and economically, from forecasts based on time-series prediction models...

Despite its importance to OM, demand forecasting has been perceived as a “problem-solving” exercise; most empirical work in the field has focused on explanatory models but neglected prediction problems that are part of empirical science. The present study, involving one of the leading...

In time series analysis and forecasting, the identification of an appropriate model remains a challenging task. Model misspecification can lead to erroneous forecasts and insights. The use of multiple views of the same time series by constructing temporally aggregate levels has been proposed as...

Assessing macroeconomic demand conditions is critical for monetary policy to gaugeimminent inflationary pressures. Generally, measures of output gap, calculated byapplying statistical filters on GDP data, are used for this purpose. GDP data, however,are released only at quarterly frequency with...

Long-term forecasts are hard, but also indispensable in personal and policy planning. How could long-term predictions of complex phenomena, such as COVID-19 contagion, be enhanced? While much effort has gone into building predictive models of the pandemic, some have argued that early exponential...

We examine the effect of the common ownership relation between brokerage houses and the firms covered by their analysts (referred to as co-owned brokerage houses, co-owned firms, and connected analysts, respectively) on analyst forecast performance. Common ownership can help the connected...

In this research I empirically study the effects of information acquisition by investors or traders on analysts' forecast bias. Based on the theoretical literature on sell-side analysts, I argue that forecast bias is correlated to investors' information gathering, in two opposite directions. On...