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The Dynamics of Tobin’s Q

Review of Finance 2017 21(5), 2075-2102
In this article, I propose a general-equilibrium model with proportional adjustment costs and industry-specific capital to study the firm migration phenomenon across market-to-book ratio. In my model, investors’ desire to diversify their portfolios and investment frictions generate a mean-reverting dynamics of Tobin’s q consistent with the probabilities of migration found in the data, and a non-linear pattern in the conditional volatility of Tobin’s q. In addition, since firms’ market-to-book ratios are function of the state of the economy and contain information about stock returns, stock prices inherit these properties, yielding asset-pricing implications in line with the empirical evidence, namely the value premium and a non-monotone relationship between the volatility of stock returns and the Tobin’s q.

No Guts, No Glory: An Experiment on Excessive Risk-Taking

Review of Finance 2017 21(3), 1327-1351
We study risk-taking behavior in tournaments where the optimal strategy is to take no risk. By keeping the optimal strategy constant, while varying the competitiveness in the tournaments, we are able to investigate the relationship between competitiveness and excessive risk-taking. In the most competitive tournament, less than 10% of the subjects played the optimal strategy in the first rounds. The majority playing dominated strategies increased their risk-taking during game of play. When we removed feedback about winner’s decisions each round, and when we reduced the number of contestants in the tournaments, subjects significantly reduced their risk-taking.

What Are the Best Liquidity Proxies for Global Research?

Review of Finance 2017 21(4), 1355-1401 open access
Liquidity plays an important role in global research. We identify high-quality liquidity proxies based on low-frequency (daily) data, which provide 1,000× to 10,000× computational savings compared to computing high-frequency (intraday) liquidity measures. We find that: (i) Closing Percent Quoted Spread is the best monthly percent-cost proxy when available, (ii) Amihud, Closing Percent Quoted Spread Impact, LOT Mixed Impact, High–Low Impact, and FHT Impact are tied as the best monthly cost-per-dollar-volume proxy, (iii) the daily version of Closing Percent Quoted Spread is the best daily percent-cost proxy, and (iv) the daily version of Amihud is the best daily cost-per-dollar-volume proxy.