Leverage and asset prices: An experiment
By Marco Cipriani, A. Fostel, Daniel Houser. Journal of Economic Behavior and Organization, 2012
256 citations recorded by the source corpus.
This is the first paper to test the asset pricing implication of leverage in a laboratory. We show that as theory predicts, leverage increases asset prices: when an asset can be used as collateral (i.e., when the asset can be bought on margin), its price goes up. This increase is significant, and quantitatively close to what theory predicts. However, important deviations from the theory arise in the laboratory. First, the demand for the asset shifts when it can be used as a collateral, even though agents do not exhaust their purchasing power when collateralized borrowing is not allowed. Second, the spread between collateralizable and non-collateralizable assets does not increase during crises in contrast to what theory predicts.
Subfields: Accounting, Finance
View Paper: https://www.semanticscholar.org/paper/14f4dbd9e728eef7b3cd816709707878bf3d2a79
Citations in the corpus
- The Politics of Government Investment (2012, unknown): “In column 6, systemic importance is measured by DCoVaR, a measure suggested by Adrian and Brunnermeier (2011), and defined as the value-at-risk of the financial system conditional on an institution being under distress.”
- Bank Risk During the Financial Crisis: Do Business Models Matter? (2011, unknown): “14 Acharya et al. (2011), Brownlees and Engle (2010) and Adrian and Brunnermeier (2008) propose more sophisticated although conceptually similar alternative measures of systemic risk based on stock market information.”
- Bank Capital Redux: Solvency, Liquidity, and Crisis (2017, unknown): “These results are consistent with recent models of macroeconomic amplification through the balance sheets of levered financial intermediaries (e.g. Adrian and Boyarchenko (2012)).”
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- When Credit Bites Back (2013, unknown): “…factors play an important role in the modern business cycle, as exemplified in the work of Fisher (1933) and Minsky (1986)—or more recently, Battacharya, Goodhart, Tsomocos, and Vardoulakis (2011), Adrian and Shin (2012), Eggertsson and Krugman (2012), or Brunnermeier et al. (2012), for example.”
- The Unemployment Gender Gap During the 2007 Recession (2010, unknown): “Juhn and Potter (2007), for example, fi nd that married women whose spouses lose their jobs or leave the labor force are more likely to enter the labor force than women whose spouses remain employed.”
- Treasury inconvenience yields during the COVID-19 crisis (2020, unknown): “Off-the-run securities were hit hardest by the COVID-19 market disruption, though on-the-run securities were also notably affected ( Fleming and Ruela, 2020 ). of New York in its implementation of monetary policy ( Song and Zhu, 2018 ), are important participants in both the primary and secondary…”