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29.09.2022 • 23/2022
Joint Economic Forecast 2/2022: Energy crisis: inflation, recession, welfare loss
The crisis on the gas markets is having a severe impact on the German economy. Soaring gas prices are drastically increasing energy costs, leading to a massive reduction of the purchasing power. Despite a decline in the second half of the year, gross domestic product is expected to expand by 1.4% this year. For the coming year, the institutes expect a contraction by 0.4%, followed by an increase of 1.9% in 2024.
Oliver Holtemöller
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Marginal Returns to Talent for Material Risk Takers in Banking
Moritz Stieglitz, Konstantin Wagner
IWH Discussion Papers,
No. 20,
2020
Abstract
Economies of scale can explain compensation differentials over time, across firms of different size, different hierarchy-levels, and different industries. Consequently, the most talented individuals tend to match with the largest firms in industries where marginal returns to their talent are greatest. We explore a new dimension of this size-pay nexus by showing that marginal returns also differ across activities within firms and industries. Using hand-collected data on managers in European banks well below the level of executive directors, we find that the size-pay nexus is strongest for investment banking business units and for banks with a market-based business model. Thus, managerial compensation is most sensitive to size increases for activities that can easily be scaled up.
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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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