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Söhnke M. Bartram

Researcher at University of Warwick

Publications -  135
Citations -  6837

Söhnke M. Bartram is an academic researcher from University of Warwick. The author has contributed to research in topics: Corporate finance & Foreign exchange risk. The author has an hindex of 41, co-authored 134 publications receiving 6276 citations. Previous affiliations of Söhnke M. Bartram include Maastricht University & State Street Global Advisors.

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Estimating systemic risk in the international financial system

TL;DR: This article examined a sample of 334 banks (representing 80% of global bank equity) in 28 countries around five global financial crises and found statistically significant, but economically small, increases in systemic risk.
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Crossing the Lines: The Conditional Relation between Exchange Rate Exposure and Stock Returns in Emerging and Developed Markets

TL;DR: In this article, the authors examined the importance of exchange rate risk in the return generating process for a large sample of non-financial firms from 37 countries and showed that the effect of exchange-rate exposure on stock returns should be conditional and show evidence of a significant return premium to firm-level currency exposures when conditioning on the exchange rate change.
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Corporate Risk Management as a Lever for Shareholder Value Creation

TL;DR: It is argued that because of realistic capital market imperfections, such as agency costs, transaction costs, taxes, and increasing costs of external financing, risk management on the firm level represents a means to increase firm value to the benefit of the shareholders.
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Macroeconomic Risks and Characteristic-Based Factor Models

TL;DR: This article showed that book-to-market, size, and momentum capture cross-sectional variation in exposures to a broad set of macroeconomic factors identified in the prior literature as potentially important for pricing equities.
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Macroeconomic risks and characteristic-based factor models

TL;DR: This article showed that book-to-market, size, and momentum capture cross-sectional variation in exposures to a broad set of macroeconomic factors identified in the prior literature as potentially important for pricing equities.