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Consolidating Product Lines via Mergers and Acquisitions: Evidence From the USPTO Trademark Data

Journal of Financial and Quantitative Analysis 2022 57(8), 2968-2992 open access
Using a new trademark-based product market competition measure and a novel trademark-merger data set over the period 1983–2016, we show that companies facing greater product market competition are more likely to be acquirers. We further show that postmerger, compared to their nonacquiring peers, acquirers consolidate their product offerings by discontinuing more existing product lines and developing fewer new product lines. Using a quasi-experiment based on bids withdrawn due to exogenous reasons helps us establish the causal effect of deal completion on product-market consolidation. We conclude that acquisitions create product market synergies by cutting overlapping product offerings to achieve cost efficiency.

Individual Investors’ Dividend Taxes and Corporate Payout Policies

Journal of Financial and Quantitative Analysis 2017 52(3), 963-990 open access
The 2012 Dividend Tax Reform in China ties individual investors’ dividend tax rates to the length of their shareholding period. We find that firms facing a reduction (increase) in their individual investors’ dividend tax rates are more (less) likely to increase dividend payout. Such an effect is concentrated in firms where incentives of controlling shareholders and minority shareholders are aligned. Furthermore, investors respond to this tax law change by reducing trading activities before the cum-dividend day and successfully lower their dividend tax penalty. Overall, our evidence enhances the notion that individual investors’ tax profiles shape firms’ payout policies.

Reference‐Dependent Preferences and Sentiment‐Driven Asset Prices

Journal of Finance 2026 open access
This paper studies asset pricing under expectations‐based reference‐dependent preferences in a general equilibrium framework. We show that reference‐dependent preferences can generate self‐fulfilling risk panics, producing sentiment‐driven asset price fluctuations through a feedback loop between current prices and perceived future downside risk—dynamics impossible under standard expected utility. The model helps explain empirical puzzles including (i) excess volatility, (ii) asymmetric volatility, (iii) asymmetric sentiment over the business cycle, (iv) excess asset price comovement, and (v) weak correlations between stock returns and economic fundamentals, alongside a sizable equity premium. Additional empirical evidence based on closed‐end fund discounts and quantitative analysis support the theory.

VAT Notches, Voluntary Registration, and Bunching: Theory and U.K. Evidence

The Review of Economics and Statistics 2021 103(1), 151-164 open access
Using administrative tax records for U.K. businesses, we document both bunching in annual turnover below the VAT registration threshold and persistent voluntary registration by almost half of the firms below the threshold. We develop a conceptual framework that can simultaneously explain these two apparently conflicting facts. The framework also predicts that higher intermediate input shares, lower product-market competition, and a lower share of business to consumer sales lead to voluntary registration. The predictions are exactly the opposite for bunching. We test the theory using linked VAT and corporation tax records from 2004 to 2014, finding empirical support for these predictions.

Investor attention and stock price manipulation: Evidence from daily quasi-natural experiments

Journal of Banking & Finance 2025 179, 107528 open access
This study investigates the impact of heightened investor attention on stock price manipulation. To establish causality, we employ daily repeated quasi-natural experiments, where investors’ attention is influenced exogenously by price rounding rather than by stocks’ fundamental information. Our findings demonstrate that stocks included in the Winner List attract significant investor attention, which leads to increased stock price manipulation. A two-stage channel analysis reveals that this increased investor attention exacerbates stock price manipulation through noise trading. Moreover, the positive relationship between investor attention and stock price manipulation is more pronounced in stocks with higher firm-specific information asymmetry, fewer rational investors, weaker external monitoring, higher costs of arbitrage, and non-shortability. Additional analyses indicate that this positive relationship intensifies during periods of heightened investor sentiment, greater economic policy uncertainty and increased geopolitical risk. Our study provides original evidence that the saliency of information exacerbates stock price manipulation and destabilizes financial markets.