Stephen Ryan

About

Stephen G. Ryan is the Vincent C. Ross Professor of Accounting at New York University Stern School of Business. He has been a faculty member at Stern since 1990 and teaches courses including Principles of Financial Accounting, Accounting for Financial Instruments, Analysis of Financial Institutions, and a doctoral seminar on banking and debt contracting. His primary research areas include accounting measurement, accounting-based valuation and risk assessment, and financial reporting by financial institutions and for financial instruments. Professor Ryan has published extensively in leading journals such as The Accounting Review, Journal of Accounting and Economics, Journal of Accounting Research, Management Science, and the Review of Accounting Studies. He is also the author of the book 'Financial Instruments and Institutions: Accounting and Disclosure Rules.' With a background that includes work at Yale School of Organization and Management and Bain and Company, he has served on various influential bodies including the Financial Accounting Standards Advisory Council, the Financial Accounting Standards Board’s advisory groups, and the Federal Reserve Bank of New York’s Financial Advisory Roundtable. His academic credentials include a Ph.D. in business from Stanford University and a B.A. in Economics/Philosophy from Dartmouth College.

Research topics

• Economics
• Finance
• Business
• Computer Science
• Accounting
• Financial system
• Ecology
• Statistics
• Operations management
• Natural resource economics

Selected publications

• Debiasing the Measurement of Conditional Conservatism

  Journal of Accounting Research · 2021 · 50 citations

  Senior authorCorresponding

  ABSTRACT Basu's [“The Conservatism Principle and the Asymmetric Timeliness of Earnings.” Journal of Accounting and Economics 24 (1997): 3–37] measurement of conditional conservatism as the asymmetric timeliness of earnings underlies hundreds of studies. However, many subsequent studies cast doubt on the extent to which Basu's measure captures conditional conservatism versus statistical biases or alternative constructs (collectively, “biases”), thereby questioning the validity of the inferences t…

  PublisherDOI

• SVB and Beyond: The Banking Stress of 2023

  SSRN Electronic Journal · 2023 · 48 citations

  PublisherDOI

• Using Loan Loss Indicators by Loan Type to Sharpen the Evaluation of Banks' Loan Loss Accruals

  Accounting Horizons · 2021 · 28 citations

  Senior authorCorresponding

  SYNOPSIS Prior research acknowledges that the determinants, timeliness, and economic implications of banks' provisions for loan losses (PLL) vary across loan types. However, the lack of machine-readable data on PLL by loan type has precluded researchers from incorporating loan type into the evaluation of PLL beyond either controlling for or partitioning the sample on crude proxies for loan portfolio composition. We calculate PLL by loan type as the change in the allowance for loan losses by loan…

  PublisherDOI

• The Effect of the Current Expected Credit Loss Approach on Banks’ Lending during Stress Periods: Evidence from the COVID-19 Recession

  The Accounting Review · 2024-09-25 · 18 citations

  article

  ABSTRACT In the wake of the financial crisis, policymakers expressed the concern that the incurred loss model delays loan loss recognition to economic stress periods and thereby exacerbates banks’ lending contraction during these periods. Addressing this concern, the FASB issued Accounting Standards Update 2016-13, which requires large public banks to accrue for loan losses using the current expected credit loss (CECL) approach starting in January 2020. We hypothesize and find that banks that ad…

  PublisherDOI

• Asset‐Level Transparency and the (E)valuation of Asset‐Backed Securities

  Journal of Accounting Research · 2021-06-11 · 16 citations

  articleOpen access

  ABSTRACT As of November 2016, SEC Regulation (“Reg”) AB II requires issuers of certain types of asset‐backed securities (“ABS”) to disclose the credit‐risk attributes of each asset in the underlying pool, a substantial expansion of prior disclosure requirements. We examine how ABS issuers’ asset‐level disclosures under Reg AB II affect the (e)valuation of ABS by investors and credit rating agencies. Using difference‐in‐differences models that compare affected and unaffected types of ABS, we find…

  PublisherOA PDFDOI

Frequent coauthors

• Al Ghosh

  18 shared

• Henry Jarva

  Hanken School of Economics

  18 shared

• Volker Hilt

  Nokia (Germany)

  15 shared

• Viral V. Acharya

  National Bureau of Economic Research

  15 shared

• Timothy C. Beers

  15 shared

• Robert H. Herz

  Columbia University

  14 shared

• Krishna G. Palepu

  14 shared

• James M. Wahlen

  Indiana University Bloomington

  12 shared

Awards & honors

• Best Paper Prize, American Accounting Association Financial…
• Emerald Management Reviews Citation of Excellence for one of…
• Co-winner Best Paper Prize, Accounting Horizons (2006)
• Co-winner Best Paper Prize, Accounting Horizons (2004)

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