Mr. and Mrs. Lin Jo Yan Professor
Head of Department, Accounting
Senior Fellow, Asian Bureau of Finance and Economic Research
Fellow, Academy of International Business
Most Cited Article - Journal of Accounting and Economics, 2004; Board Characteristics, Accounting Report Integrity, and the Cost of Debt
Top 20 Most Cited Articles of all time - Journal of Finance Founding-Family Ownership and Firm Performance: Evidence from the S&P 500
Web of Science
I am a Professor at the National University of Singapore and hold the Mr. and Mrs. Lin Jo Yan Professorship, with appointments in both accounting and finance. I serve as a Senior Fellow of the Asian Bureau of Finance and Economic Research (ABFER), a Fellow at the Academy of International Business (AIB), as the Director of Business Doctoral Programs in NUS Business School, and Head of Department, Accounting.
My research interests range from firm-wide compensation policy to the disclosure of corporate innovation, spanning founding-family ownership to financing startup firms. Current projects include investigating the compensation policies of Big 4 firms, managing employee pay, field experiments in financing, tax cuts and investments, and the distribution of financial analysts. Over the past several years, my work has appeared in the most influential academic journals in accounting, economics, finance, law, and management.
This research has been featured in the Wall Street Journal, BusinessWeek, The Economist, Forbes, the Financial Times, the International Herald Tribune, Inc Magazine, SmartMoney, MSNBC, CNN, Bloomberg TV, and several other major newspapers and business magazines in the US, Canada, Europe, Australia and Asia.
Deleting Unreported Innovation
Journal of Financial and Quantitative Analysis, Forthcoming
The absence of observable innovation data for a firm often leads us to exclude or classify these firms as non-innovators. We assess the reliability of six methods for dealing with unreported innovation using several different counterfactuals for firms without reported R&D or patents. These tests reveal that excluding firms without observable innovation or imputing them as zero innovators and including a dummy variable can lead to biased parameter estimates for observed innovation and other explanatory variables. Excluding firms without patents is especially problematic, leading to false-positive results in empirical tests. Our tests suggest using multiple imputation to handle unreported innovation.
The Accounting Review, 2021
We investigate whether corporate insiders attempt to circumvent insider trading restrictions by using their private information to facilitate trading in economically-linked firms, a phenomenon we call “shadow trading.” Using measures of informed trading to proxy for shadow trading, we find increased levels of informed trading among business partners and competitors before a firm releases private information. To rule out alternative explanations, we examine two shocks to insiders’ incentives to engage in shadow trading: high-profile regulatory enforcement against conventional insider trading and staggered changes to their outside employment opportunities. Finally, we document attenuated levels of informed trading among business partners and competitors when firms prohibit shadow trading. Overall, we provide evidence that shadow trading is an undocumented and widespread mechanism that insiders use to avoid regulatory scrutiny.