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Von den Covid-19-Restriktionen wurden im Automobilsektor die Zulieferer wesentlich stärker getroffen als die Fahrzeughersteller. Vor allem die Entwicklung des Working Capitals im ersten Pandemie-Jahr erwies sich als kritisch. Der Beitrag gibt einen Überblick über mögliche Lösungen für eine allseits vorteilhaftere, stabile Supply-Chain-Finanzierung in künftigen Krisen.
Der Beitrag befasst sich mit den wirtschaftlichen Auswirkungen auf Unternehmen der deutschen Automobilbranche in Folge der behördlichen Restriktionen im Rahmen der Corona-Pandemie. Untersuchungszeitraum ist das Jahr 2020 auf Quartalsebene. Unsere Auswertung zeigt, dass die Zulieferer von der Pandemie wesentlich stärker getroffen wurden als die Hersteller der Branche. Ebenso konnte eine zeitliche Wellenbewegung der Negativentwicklung entlang der Wertschöpfungskette festgestellt werden. Der Beitrag zeigt Instrumente der Supply-Chain-Finanzierung auf, die sowohl kurzfristige Erleichterungen in Krisenzeiten als auch langfristige Möglichkeiten der Working Capital Optimierung darstellen.
This study examines the relevance of integrated reporting quality (IRQ) to capital markets. We investigate whether IRQ benefits capital market participants by improving a firm's information environment, using analyst earnings forecast accuracy as a proxy. Our study focuses specifically on companies that publish integrated reports on a voluntary basis. Based on a scoring model, we assess IRQ and its effects with data from 2015 to 2019 of 101 companies. The results indicate no significant relationship between IRQ and analyst earnings forecast accuracy. Thus, IRQ does not appear to improve a firm's information environment, at least not currently in a voluntary setting. Drawing on previous literature in the field, this study further concludes that integrated reporting (IR) in general has not yet reached its full potential in benefitting capital markets. Potential implications of our results are that the standard setters should work to improve the specificity and rigor of their guidelines, and analysts should become more involved in developing IR guidelines to make them more relevant to their information needs. IR seems to unfold its benefits better in mandatory settings, which could call for regulators to make IR mandatory.
This study empirically analyzes and compares return data from developed and emerging market data based on the Fama French five-factor model and compares it to previous results from the Fama French three-factor model by Kostin, Runge and Adams (2021). It researches whether the addition of the profitability and investment pattern factors show superior results in the assessment of emerging markets during the COVID-19 pandemic compared to developed markets. We use panel data covering eight indices of developed and emerging countries as well as a selection of eight companies from these markets, covering a period from 2000 to 2020. Our findings suggest that emerging markets do not generally outperform developed markets. The results underscore the need to reconsider the assumption that adding more factors to regression models automatically yields results that are more reliable. Our study contributes to the extant literature by broadening this research area. It is the first study to compare the performance of the Fama French three-factor model and the Fama French five-factor model in the cost of equity calculation for developed and emerging countries during the COVID-19 pandemic and other crisis events of the past two decades.