Real estate markets are pivotal to financial stability given their dual role as the underlying asset of crucial financial products in financial systems, such as mortgage loans and asset-backed securities, and the primary source of household wealth alike. As such, they also play traditionally a crucial role for the transmission of monetary policy. Imbalances and sudden corrections in real estate markets have been the root cause of many financial crises over the last decades. But whereas some national, often survey-based indicators of real estate prices are provided by central banks and statistical offices, a comprehensive collection of purchase prices, rents, and proxies for the liquidity of European real estate markets is lacking. The IWH European Real Estate Index (EREI) seeks to fill this void for residential property. This technical report describes the gathering and processing of sale and rental prices for properties in 18 European countries. We provide the general scrapeing step in the section before describing country-specific details for each country in separated sub-sections.

We use a new database on European real estate purchase and rental prices – the IWH European Real Estate Index – to document the relationship between staggered COVID-19 dynamics and real estate prices in 14 EU countries between January 2020 and December 2021. For most countries, we find no statistically significant response of monthly purchase and rental prices due to an increase of regional COVID-19 cases. For the UK we find that more COVID-19 cases depressed both purchase and rental prices significantly, but the economic magnitude of effects was mild during this sample period. In contrast, rents in Italy increased in response to hiking COVID-19 cases, illustrating the importance to consider heterogeneous crisis patterns across the EU when designing policies. Overall, COVID-19 dynamics did not affect real estate values significantly during the pandemic, thereby mitigating potential financial stability concerns via a mortgage lending channel at the time.

We exploit staggered real estate transaction tax (RETT) hikes across German states to identify the effect of house price changes on mortgage credit supply. Based on approximately 33 million real estate online listings, we construct a quarterly hedonic house price index (HPI) between 2008:q1 and 2017:q4, which we instrument with state-specific RETT changes to isolate the effect on mortgage credit supply by all local German banks. First, a RETT hike by one percentage point reduces HPI by 1.2%. This effect is driven by listings in rural regions. Second, a 1% contraction of HPI induced by an increase in the RETT leads to a 1.4% decline in mortgage lending. This transmission of fiscal policy to mortgage credit supply is effective across almost the entire bank capitalization distribution.

We evaluate alternative indicators of global economic activity and other market funda-mentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. World industrial production is one of the most useful indicators. However, by combining measures from several different sources we can do even better. Our analysis results in a new index of global economic conditions and measures for assessing future energy demand and oil price pressures. We illustrate their usefulness for quantifying the main factors behind the severe contraction of the global economy and the price risks faced by shale oil producers in early 2020.

Prognosemodelle für die zukünftige wirtschaftliche Entwicklung verwenden häufig marktbasierte Indikatoren wie Spreads von Unternehmensanleihen, die den Risikoaufschlag gegenüber einem Referenzzins angeben. Anleihespreads bilden jedoch nur die Entwicklung von Risiken für Unternehmen ab, die regelmäßig Anleihen emittieren – im Durchschnitt größere, sichere Firmen. Neuartige Daten zu Bankkrediten, die im Sekundärmarkt gehandelt werden, erlauben auch die Konstruktion von Kreditspreads. Kreditmarktdaten umfassen ein breiteres Spektrum an Firmen, inklusive kleinerer Firmen, die stärker von Finanzmarktfriktionen betroffen sind. Tests zeigen, dass Kreditspreads tatsächlich mehr Informationen über wirtschaftliche Entwicklungen beinhalten als Anleihespreads und daher das Potenzial haben, Prognosemodelle zu verbessern.

Seit dem Beginn der Pandemie sind die Angebotspreise für privat genutzte Immobilien EU-weit um ein Viertel, in Deutschland bis März 2021 um 45% gestiegen. Die Preisdynamik ist auch außerhalb der Ballungszentren beachtlich.

This paper offers a novel framework, combining firm operational risk, IPO pricing risk, and market risk, to model IPO failure risk. By analyzing nearly a thousand variables, we observe that prior IPO failure risk models have suffered from a major missing-variable problem. Evidence reveals several key new firm-level determinants, e.g., the volatility operating performance, the size of its accounts payable, pretax income to common equity, total short-term debt, and a few macroeconomic variables such as treasury bill rate, and book-to-market of the DJIA index. These findings have major economic implications. The total value loss from not predicting the imminent failure of an IPO is significantly lower with this proposed model compared to other established models. The IPO investors could have saved around $18billion over the period between 1994 and 2016 by using this model.

Die Bundesregierung plant, mit dem Zweiten Nachtragshaushalt 2021 dem Energie- und Klimafonds eine Rücklage in Höhe von 60 Mrd. Euro zuzuführen. Die Mittel sollen in den Folgejahren in Investitionen in den Klimaschutz und die Transformation der Wirtschaft fließen und zugleich gesamtwirtschaftliche Folgekosten der Pandemie verringern. Diese pandemiebedingten Einbußen sind auch in der mittleren Frist erheblich. Zwar dürften Nachholeffekte beim privaten Konsum die im Jahr 2021 noch deutliche Unterauslastung bis zum Jahr 2024 vollständig verschwinden lassen. Jedoch liegt das Produktionspotenzial in den kommenden Jahren mehr als 1,5% unter dem Ende 2019 vom IWH prognostizierten Wert, vor allem wegen eines geringeren Arbeitsangebots, unter anderem aufgrund deutlich niedrigerer Zuwanderung von Arbeitskräften. Die Investitionen sind gemäß aktueller Mittelfristprojektion im Jahr 2024 ebenfalls noch deutlich niedriger. Die Effekte des Nachtragshaushalts auf Investitionstätigkeit und Produktion lassen sich mit Hilfe des finanzpolitischen Simulationsmodells des IWH abschätzen. Die beabsichtigten Mehrausgaben dürften auf dem Höhepunkt ihrer Wirksamkeit im Jahr 2024 die gesamtwirtschaftliche Aktivität um etwa 0,5% steigern. Allerdings werden die zusätzlichen Investitionen die seit Pandemiebeginn ausgebliebene Investitionstätigkeit bei Weitem nicht kompensieren können. Eine Bewertung des Nachtragshaushals hat die positiven gesamtwirtschaftlichen Effekte zusätzlicher Investitionen und die negativen Effekte auf die Glaubwürdigkeit der Schuldenbremse gegeneinander abzuwägen.

By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks.