Eva Elena Ernst

Doctoral Students

Curriculum Vitae

Eva Elena Ernst ist seit Oktober 2020 wissenschaftliche Mitarbeiterin und Doktorandin am Lehrstuhl für Corporate Finance und Ship Finance. Zuvor studierte sie Betriebswirtschaftslehre an der Universität Hamburg mit den Schwerpunkten Finance sowie Wirtschaftsprüfung und Steuern. Frau Ernst arbeitete studienbegleitend als studentische Hilfskraft am Lehrstuhl für Corporate Finance und Ship Finance sowie als Werkstudentin und Praktikantin in den Bereichen Risikocontrolling und Infrastructure Advisory.

Ausgewählte Publikationen

The hurdle-rate effect on patents: Equity risk premium and corporate innovation by public firms in the U.S., 1977-2018

David B. Audretsch, Wolfgang Drobetz, Eva Elena Ernst, Paul P. Momtaz, Silvio Vismara
HFRC Working Paper Series | Version 05/2023
We document high economy-wide correlations between the Equity Risk Premium (ERP) and the aggregate volume (rho=-0.69) and value (rho=-0.75) of patenting activity by public firms in the United States over the 1977-2018 period, contradicting Schumpeter's (1939) opportunity-costs hypothesis of countercyclical inventive productivity in a representative sample. We propose a ''hurdle-rate theory of inventive procyclicality'' and offer supportive evidence at the firm level. High-ERP periods stifle innovation because many R&D projects do not pass corporate budgeting decisions when discount rates are high. Consistent evidence suggests that the hurdle-rate effect is less pronounced in firms with financial slack, institutional ownership with long-term orientation, and weak product-market competition. In an attempt to reconcile the procyclical evidence with Schumpeter's countercyclical theory, we show that firms engaging in exploratory search suffer less during high-ERP episodes than those focusing on exploitative search, and patents developed during high-ERP periods have a higher technological impact and receive significantly more forward citations. Finally, we exploit the staggered variation in state-level R&D tax credits in difference-in-differences analyses to establish a causal link between the ERP and patent value.