SMEAL WIKI

Loan

OpenAlex concept - C2777764128

Field
Subfield
Domain
OpenAlex	C2777764128

Smeal faculty

Patrick Higgins - score 2.6
Matthew Gustafson - score 2.0
Brent W. Ambrose - score 1.9
Young Soo Jang - score 1.1
Kai Du - score 0.8
Brent Schmidt - score 0.7
Fenghua Song - score 0.7
Liang Peng - score 0.6
William Kracaw - score 0.6
Zhongyi Yuan - score 0.6

Papers

Weathering Cash Flow Shocks (2017) - cites 313
Bank monitoring: Evidence from syndicated loans (2020) - cites 207
Does Borrower and Broker Race Affect the Cost of Mortgage Credit? (2020) - cites 152
The Subprime Crisis and House Price Appreciation (2009) - cites 132
The Effect of Conforming Loan Status on Mortgage Yield Spreads: A Loan Level Analysis (2004) - cites 121
Credit Rationing, Income Exaggeration, and Adverse Selection in the Mortgage Market (2016) - cites 81
Monetary Stimulus amidst the Infrastructure Investment Spree: Evidence from China's Loan‐Level Data (2023) - cites 68
Who Benefits from Sustainability-linked Loans? (2022) - cites 30
The Wealth Effects of Bank Financing Announcements in Highly Leveraged Transactions (1996) - cites 25
How Equity Financing Relaxes Borrowing Constraints: Evidence from Private Equity (2022) - cites 24
Monetary Stimulus Amidst the Infrastructure Investment Spree: Evidence from China's Loan-Level Data (2020) - cites 15
Inter-market competition and bank loan spreads: Evidence from the securities offering reform (2018) - cites 12
Are Direct Lenders More Like Banks or Arm’s-Length Investors? (2023) - cites 5
Pricing Government Credit: A New Method for Determining Government Credit Risk Exposure (2018) - cites 2
Bank Capital, Loan Trading and Funding Liquidity Creation (2024) - cites 1
Monetary Stimulus Amidst the Infrastructure Investment Spree: Evidence from China's Loan-Level Data (2020) - cites 0
Monetary Stimulus Amid the Infrastructure Investment Spree: Evidence from China's Loan-Level Data (2021) - cites 0
What drives banks’ overreaction to loan loss information? Discussion of imperfect expectations in loan loss forecasts (2026) - cites 0