AIECE General Report, Part 1, Spring 2023
Andrej Drygalla, Axel Lindner, Birgit Schultz
IWH Studies,
No. 3,
2023
Abstract
The Halle Institute for Economic Research (IWH) is a member of AIECE (Association d'Instituts Europeens de Conjoncture Economique/Association of European Conjuncture Institutes), an association of independent European institutes involved in surveying economic conditions and developments, and in short-term macroeconomic forecasting. The main objective of the Association is to stimulate the exchanges between its members with a view to improve their insight into international economic developments. This ranges from the exchange of statistical or institutional information to discussions on economic policy Guidelines to common research activities. The AIECE organises between its members an exchange of view, of information and of literature on international economic developments, in particular in Europe. The Association provides the framework for joint activities of its members in areas of common interest. Its structure allows its members to develop common views on the future cyclical development. In order to meet these objectives the Association has half-yearly plenary meetings, centred around a general report on the European conjuncture prepared in turn by one of the members in cooperation with the other member institutes, but also with discussions of the working group reports and of special surveys prepared by member institutes. In Spring 2023, the report was written by the Halle Institute for Economic Research (IWH).
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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30.11.2022 • 28/2022
Stricter rules for banks can relieve real estate markets
Exuberant price levels in the German real estate market could further exacerbate an economic crisis. Fiscal instruments exert too little influence to contain this danger, shows a study by the Halle Institute for Economic Research (IWH).
Michael Koetter
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European Real Estate Markets During the Pandemic: Is COVID-19 also a Case for House Price Concerns?
Michael Koetter, Felix Noth
IWH Policy Notes,
No. 3,
2022
Abstract
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.
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European Real Estate Prices
Michael Koetter, Felix Noth
IWH Technical Reports,
No. 3,
2022
Abstract
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.
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Explaining Regional Disparities in Housing Prices Across German Districts
Lars Brausewetter, Stephan L. Thomsen, Johannes Trunzer
IWH Discussion Papers,
No. 13,
2022
Abstract
Over the last decade, German housing prices have increased unprecedentedly. Drawing on quality-adjusted housing price data at the district level, we document large and increasing regional disparities: Growth rates were higher in 1) the largest seven cities, 2) districts located in the south, and 3) districts with higher initial price levels. Indications of price bubbles are concentrated in the largest cities and in the purchasing market. Prices seem to be driven by the demand side: Increasing population density, higher shares of academically educated employees and increasing purchasing power explain our findings, while supply remained relatively constrained in the short term.
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Does Working at a Start-up Pay Off?
Daniel Fackler, Lisa Hölscher, Claus Schnabel, Antje Weyh
Small Business Economics,
No. 4,
2022
Abstract
Using representative linked employer-employee data for Germany, this paper analyzes short- and long-run differences in labor market performance of workers joining start-ups instead of incumbent firms. Applying entropy balancing and following individuals over ten years, we find huge and long-lasting drawbacks from entering a start-up in terms of wages, yearly income, and (un)employment. These disadvantages hold for all groups of workers and types of start-ups analyzed. Although our analysis of different subsequent career paths highlights important heterogeneities, it does not reveal any strategy through which workers joining start-ups can catch up with the income of similar workers entering incumbent firms.
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On Modeling IPO Failure Risk
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Economic Modelling,
April
2022
Abstract
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.
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To Rent or not to Rent: A Household Finance Perspective on Berlin's Short-term Rental Regulation
Antonios Mavropoulos
IWH Discussion Papers,
No. 1,
2021
Abstract
With the increasing concerns that accompany the rising trends of house sharing economies, regulators impose new laws to counteract housing supply scarcity. In this paper, I investigate whether the ban on short-term entire house listings activated in Berlin in May 2016 had any adverse effects from a household finance perspective. More specifically, I derive short-term rental income and counter-factually compare it with long-term rental income to find that the ban, by decreasing the supply of short-term housing, accelerated short-term rental income but did not have any direct effect on long-term rental income. Commercial home-owners therefore would find renting on the short-term market to be financially advantageous.
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Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Pacific-Basin Finance Journal,
June
2020
Abstract
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
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