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Annual Conference

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Corporate Finance

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May 2023

The Value of Bankruptcy Court in Financial Distress: Evidence from Chinese Bond Market

Bo LI, Laura LIU, Mai LI, Songnan LI
This paper investigates the consequences of bankruptcy reform on creditor protection and credit market development in China amidst rising credit market defaults. We find that the introduction of specialized bankruptcy courts, characterized by better-trained judges and reduced government interference...
Keywords: Bankruptcy Resolution, Creditor Protection, Cost of Debt, China’s Bond Market
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Annual Conference

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Corporate Finance, Senior Fellows/Fellows

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May 2023

Political Partisanship and the Transmission of Fiscal Policy

Pulak GHOSH, Francesco DACUNTO, Alberto G. ROSSI
We document that support for the ruling party (“partisanship”) increases the take-up of government programs in which participation is costly. The take-up rates of a large-scale Indian loan-guarantee program, Mudra loans, diverge across low- and high-partisanship electoral districts but only mont...
Keywords: Heterogeneous Beliefs, Political Finance, Government Spending, Loans, Fiscal Policy, Government Prog
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Annual Conference

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Corporate Finance

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May 2023

Tax Incentives, Small Businesses, and Physical Capital Reallocation

Manpreet SINGH, Riddha BASU, Doyeon KIM
Our study presents novel evidence on the physical capital reallocation e↵ect of temporary federal tax incentives. Using data on equipment purchases by small businesses, we found that temporary tax subsidies on new equipment, specifically in accelerated depreciation, increase investment in old capi...
Keywords: Taxes, Bonus Depreciation, Old Capital, Capital Reallocation, Investment
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Annual Conference

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Corporate Finance

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May 2023

Nationalistic Labor Policies Hinder Innovation

Michael WEBER, Francesco DACUNTO, Jin XIE, Liu YANG, Hengyi HUANG
Hiring restrictions for high-skilled foreign nationals hinder domestic firms’ production of cutting-edge innovation. We document this fact using the Employ American Workers Act (EAWA), which banned US financial institutions participating in the Troubled Asset Relief Program (TARP) from hiring new ...
Keywords: FinTech, Cybersecurity, Labor and Finance, Financial Regulation, IO and Finance, High-skilled workfo
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Annual Conference

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Corporate Finance

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May 2023

Learning Production Process Heterogeneity Across Industries: Implications of Deep Learning for Corporate M&A Decisions

Jongsub LEE, Hayong YUN
Using deep learning techniques, we introduce a novel measure for production process heterogeneity across industries. For each pair of industries during 1990-2021, we estimate the functional distance between two industries’ production processes via deep neural network. Our estimates uncover the und...
Keywords: Deep learning, production process heterogeneity, M&A’s, integration synergy, the boundaries of the f
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