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Auch das Liquiditäts- und Working Capital Management unterliegt einem ständigen Wandel. So hatte die Liquiditätssicherung nach Ausbruch der Finanzkrise 2008/09 in vielen Unternehmen höchste Priorität. In Zeiten niedriger Zinsen können die Kapitalkosten vernachlässigt werden, wodurch die Notwendigkeit sinkt, Bestände des Working Capital zu reduzieren. Bei steigenden Zinsen und/oder einer schwachen konjunkturellen Entwicklung verschärft sich dagegen der Zielkonflikt zwischen Sicherheit und Rentabilität.
Mögliche Verbesserungen ergeben sich beim Liquiditäts- und Working Capital Management durch die Digitalisierung, die den Informationsaustausch zwischen dem Unternehmen und seinemn Supply-Chain-Partnern beschleunigt. Damit lässt sich an vielen Stellen des Wertschöpfungsprozesses die Effizienz steigern.
Digitalisierung in Corporate Mergers & Acquisitions (M&A)-Prozessen birgt ein erhebliches Potenzial zur Effizienz- und Effektivitätssteigerung, erfährt jedoch bislang in der betrieblichen Praxis nur eine geringe Aufmerksamkeit. Dieser Beitrag schlägt angesichts dessen ein Reifegradmodell vor, womit sich der Ist-Stand der digitalen Reife eines Unternehmens bei Corporate M&A ermitteln und darauf aufbauend Optimierungspotenziale identifizieren lassen. Grundlage der Modellerstellung sind einerseits eine Analyse der vorhandenen Reifegradmodelle und andererseits Interviews mit M&A-Experten unterschiedlicher Unternehmen.
Purpose
The authors study the valuation effect of corporate diversification in the initial phase of the COVID-19 pandemic in 2020 in Europe.
Design/methodology/approach
Applying a cross-sectional regression model to a sample of public companies headquartered in the European Union, the authors investigate the existence of and the change in a diversification discount between 2018 and 2020. By applying the Excess Q methodology, the authors make an industry adjustment of diversified companies to measure the value effect of corporate diversification.
Findings
The authors find an economically and statistically significant diversification discount that increases from an average Excess Q of −0.05 in 2019 to −0.10 in 2020. The diversified companies' inferior fundamental financial performance in 2020 accompanies the discount. The results deviate from those of previous research, which mostly show a decrease in the diversification discount in economic crises, and thereby, shed doubt on whether diversification provides insurance against pandemic-induced adverse value effects.
Originality/valueThe study distinguishes the role of corporate diversification during recessionary periods by establishing that the valuation effect of diversification depends on the nature of the crisis. The analysis incorporates criticism of previous studies concerning a biased methodology and uniform data source by applying the Excess Q methodology and using FactSet industry segment data.
This article studies the effects of reverse factoring in a supply chain when the buyer company facilitates its lower short-term borrowing rates to the supplier corporation in return for extended payment terms. We explore the role of interest rate changes, rating changes, and the business cycle position on the cost and benefit trade-off from a supplier perspective. We utilize a combined empirical approach consisting of an event study in Step 1 and a simulation model in Step 2. The event study identifies the quantitative magnitude of central bank decisions and rating changes on the interest rate differential. The simulation computes with a rolling-window methodology the daily cost and benefits of reverse factoring from 2010 to 2018 under the assumption of the efficient market hypothesis. Our major finding is that changes of crucial financial variables such as interest rates, ratings, or news alerts will turn former win-win into win-lose situations for the supplier contingent to the business cycle. Overall, our results exhibit sophisticated trade-offs under reverse factoring and consequently require a careful evaluation in managerial decisions.
In this exploratory research eight suppliers in the automotive industry are interviewed to measure the application of supply chain finance instruments in their supply chain in the Netherlands and the region of South-West Germany. Current adoption levels and reasons for non adoption are discussed. Based on these indicative results, a set of hypotheses is suggested for further research. The theoretical base of this study is a conceptual model of Supply Chain Finance based on literature research and empirical research in the Netherlands.