Benjamin Iverson

Assistant Professor of Finance at Kellogg School of Management

Schools

  • Kellogg School of Management

Links

Biography

Kellogg School of Management

Ben Iverson is an Assistant Professor of Finance at the Kellogg School of Management at Northwestern University. He studies corporate finance, with a particular emphasis on financial distress, restructuring, and bankruptcy. His recent work has focused on how bankruptcy systems affect the allocation of assets in the economy. His research interests also include financial intermediaries, banking, and household financial decision making.

Ben received his Ph.D. in Business Economics in 2013 from Harvard University. Prior to graduate study, he worked as an assistant economist in the research group at the Federal Reserve Bank of New York.

Areas of Expertise Banking and Financial Institutions
Behavioral Economics
Behavioral Finance
Contract Theory
Corporate Bankruptcy
Corporate Capital Structure
Corporate Finance
Corporate Restructuring
Household Finance

Education Ph.D., 2013, Business Economics, Harvard University

A.M., 2013, Economics, Harvard University

B.A., 2006, Economics, Double-minor in Mathematics and Business, Brigham Young University

Academic Positions Assistant Professor of Finance, Finance Department, Kellogg School of Management, Northwestern Univerity, 2013-present

Other Professional Experience Assistant Economist, Federal Reserve Bank of New York, 2006-2008

Summer Investment Analyst, Loomis, Sayles & Co., LLP, 2004-2005

Honors and Awards Doctoral Fellowship, Harvard University, 2008-2013

Performance Plus Award, Federal Reserve Bank of New York, 2007

Heritage Scholarship, Brigham Young University, 2000-2006

Education Academic Positions Other Professional Experience Honors and Awards

Read about executive education

Cases

Iverson, Benjamin, Victoria Ivashina and David Smith. 2016. The Ownership and Trading of Debt Claims in Chapter 11 Restructuring. Journal of Financial Economics. 119(2): 316-335.

Using a novel dataset that covers individual debt claims against 136 bankrupt U.S. companies and includes information on a subset of claims transfers, we provide new empirical insight regarding how a firm's debt ownership relates to bankruptcy outcomes. Firms with higher debt concentration at the start of the case are more likely to file prearranged bankruptcy plans, to move quickly through the restructuring process, and to emerge successfully as independent going concerns. Moreover, higher ownership concentration within a debt class is associated with higher recovery rates to that class. Trading of claims during bankruptcy concentrates ownership further but this trading is not associated with subsequent improvements in bankruptcy outcomes and may, at the margin, increase the likelihood of liquidation.

Iverson, Benjamin. 2015. Get in Line: Chapter 11 Restructuring in Crowded Bankruptcy Courts.

This paper tests whether Chapter 11 restructuring outcomes are affected by time constraints in busy bankruptcy courts. On average, total bankruptcy filings rise by 32% during economic recessions, leaving bankruptcy judges with far less time per case exactly when financial distress is worst. Using the passage of the Bankruptcy Abuse Prevention and Consumer Protection Act (BAPCPA) in 2005 as an exogenous shock that decreased caseloads dramatically, I estimate the impact of bankruptcy caseload changes on the outcomes of firms in Chapter 11. I find that as bankruptcy judges become busier they tend to become more pro-debtor, allowing more firms to reorganize and liquidating fewer firms. This is particularly true for larger firms. Firms that reorganize in busy courts are more likely to re-file for bankruptcy within three years of their original filing. In addition, busy courts impose costs on local banks, which report higher charge-offs on business lending when caseload increases. The economic magnitude of these effects is large: the average rise in judge caseload during an economic recession results in 27% more firms being reorganized, 47% higher charge-off rates, and doubles the share of firms that re-file for bankruptcy.

Iverson, Benjamin, Shai Bernstein and Emanuele Colonnelli. 2016. Asset Allocation in Bankruptcy.

This paper investigates the consequences of liquidation and reorganization on the allocation and subsequent utilization of assets in bankruptcy. We identify 129,000 bankrupt establishments and construct a novel dataset that tracks the occupancy, employment and wages paid at real estate assets over time. Using the random assignment of judges to bankruptcy cases as a natural experiment that forces some firms into liquidation, we find that even after accounting for reallocation, the long-run utilization of assets of liquidated firms is lower relative to assets of reorganized firms. These effects are concentrated in thin markets with few potential users, in areas with low access to finance, and in areas with low economic growth. The results highlight that different bankruptcy approaches affect asset allocation and utilization particularly when search frictions and financial frictions are present.

Other experts

Rebecca Lester

Research Statement Professor Rebecca Lester's research focuses on the economic consequences of U.S. tax policies on multinational companies. Specifically, her work studies how accounting rules and tax policies affect firm investment and employment decisions. Research Interests Taxation Firm Inve...

Ari Vepsäläinen

Peer-reviewed scientific articlesJournal article-refereed, Original researchExtending the range of service facilitiesTinnilä, Markku; Kallio, Jukka; Raulas, Mika; Vepsäläinen, Ari2017 in INTERNATIONAL JOURNAL OF SERVICES AND OPERATIONS MANAGEMENT (Inderscience Enterprises Ltd)ISSN: 1744-2370Mitoc...

Jun Kyung Auh

Jun Kyung Auh is an assistant professor at the McDonough School of Business at Georgetown University. He received his Ph.D. in Finance and Economics and M.A. in Mathematics from the Columbia University of New York in 2014 and 2009 respectively. Before joining Ph.D. program, he spent 5 years as an...

Looking for an expert?

Contact us and we'll find the best option for you.

Something went wrong. We're trying to fix this error.