You can contact Laurel Franzen at Laurel.Franzen@lmu.edu.
Laurel Franzen is chair of the Department of Accounting. She joined LMU in the fall of 2009 and teaches financial accounting at the undergraduate and graduate levels. Prior to joining LMU, Franzen was on the faculty at the University of Texas at Dallas. Her research focuses on the role of accounting information in equity valuation including issues related to the valuation of R&D, financial distress and bankruptcy prediction. Her research has been published in the Journal of Finance and the Journal of Accounting and Public Policy. She is a member of the American Accounting Association and the American Finance Association.
University of Washington: Ph.D., Postgraduate Studies 2000
Chapman University: MBA, Graduate Studies 1995
University of California at San Diego: B.A., Undergraduate Studies 1992
Areas of Expertise (4)
Industry Expertise (3)
- American Accounting Association
- American Finance Association
Bringing leased assets onto the balance sheetJournal of Corporate Finance
Pending changes in lease accounting standards will require firms to recognize obligations that have historically been kept off-balance-sheet (OBS).
Capital Structure and the Changing Role of Off-Balance-Sheet Lease FinancingSocial Science Research Network
Using trend regression analysis, we demonstrate the remarkable increase in off-balance-sheet (OBS) lease financing and simultaneous decrease in capital (on-balance-sheet) leases over the last 27 years.
The Value Relevance of R&D Across Profit and Loss FirmsJournal of Accounting and Public Policy
We examine whether the valuation relevance of R&D documented for loss firms extends to profit firms. We use the residual-income valuation model and show that the valuation multiplier on R&D expenditures is likely to be negative (positive) for profit (loss) firms.
Measuring Distress Risk: The Effect of R&D IntensityThe Journal of Finance
Because of upward trends in research and development activity, accounting measures of financial distress have become less accurate.