Naval Postgraduate School |
I am interested in developing dynamic models to understand firm decisions. My objective is to provide structural answers to the regularities reported by the empirical literature in corporate finance. I am also working on ascertaining the asset pricing ability of those models.
Peer-Reviewed Publications
What we find: workers choose not to leave the DoD while the civilian sector suffers from the impact of the pandemic. However, once the civilian sector has recovered enough, these same workers quit at an accelerated rate.
What we find: all U.S. industries seem to be far from the prohibitive range of the Laffer curve. The elasticity of capital is the main corporate determinant of the income tax rate that maximizes tax revenues.
What we find: a dynamic version of the dividend discount model (solved in closed-form) produces equity value forecasts that are very close to market prices, and explains a large proportion of the observed variation in share prices.
What we find: the value of the interest tax shields represents less than 5% of firm value, and it varies considerably across U.S. industries.
What we find: survey results from U.S. military personnel suggest the new retirement system will have a considerable impact on service member retention.
What we find: the optimal crime reduction strategy does involve differential targeting of potentially high crime locations. However, hot spots still remain at the crime-minimizing police allocation.
(Appendix: Sensitivity Analysis of Relevant Model Variables)
What we find: a dynamic model of the firm can explain many important findings about the cross-section of firms, such as the negative relations between profitability and leverage, and between dividends and investment-cash flow sensitivities, as well as the existence of zero-debt firms and their observed characteristics.
What we find: removing the 20-year cliff-vesting provision from the Australian military's retirement plan considerably increases attrition rates.
What we find: we quantify the value of the real options and secular growth for different U.S. industries, and identify the firm characteristics with the greatest impact on those components of the stock price.
(Appendix: Construction of the SNP Density Function)
What we find: a dynamic model of the firm consistently reproduces the convergence and stability of leverage reported by Lemmon et al. (2008), and suggests their causes (e.g., convergence is due to the mean-reversion of profits while stability depends on the different firm characteristics in the cross-section.)
Technical Reports
Work in Progress