Welcome to my website!
I am a fourth-year PhD candidate at Duke University in Durham, North Carolina, specializing in macroeconomics and finance. Below is a list of my current research projects and the most recent version of my CV can be accessed here.
Abstract: Using 14,800 forecasts of one-year S&P 500 returns made by Chief Financial Officers over a 12-year period, we track the individual executives who provide multiple forecasts to evaluate how they adapt and recalibrate in response to return realizations. We present a simple model of Bayesian learning which suggests that the evolution of beliefs should be impacted by return realizations, but that stronger priors yield a sluggish response. While CFOs' forecasts are unbiased, their confidence intervals are far too narrow, implying a very strong conviction in their beliefs. Consistent with Bayesian learning, we find that when return realizations fall outside of ex-ante confidence intervals, CFOs' subsequent confidence intervals become significantly wider. However, the magnitude of the updating is apparently dampened by the tightness of prior beliefs and, as a result, miscalibration persists.
Abstract: Using detailed household-level data from the Survey of Income and Program Participation, the ratio of credit card debt to income is found to be the most important balance sheet item in determining household usage of stimulus funds in 2008, adding to existing evidence that borrowing constraints are functions of debt-to-income ratios. Borrowing constrained households, often predicted to be the group with the largest propensity to consume out of stimulus funds, were the most likely to use stimulus payments to repay debt instead of increase consumption. This behavior is consistent with the fact that household credit supply was tightening at the same time that stimulus payments were being distributed, forcing households, especially those near their borrowing constraints, to deleverage.
Abstract: A large empirical literature documents that central bank monetary policy changes signal information about future economic fundamentals to the private sector. The canonical Gali (2008) model is modified to analyze this mechanism and understand the information effect of monetary policy. We assume the central bank observes a private signal of future economic fundamentals and uses the filtered information in its Taylor rule. As a result, the nominal interest rate serves an additional function as a noisy signal of future economic fundamentals and there is an information effect of monetary policy. We find that a contractionary monetary policy induces an expansionary information effect, but for reasonable calibrations, the net effect is contractionary.
Published and Forthcoming
Abstract: Monetary policy implementation could, in theory, be constrained by deeply negative rates since overnight market participants may have an incentive to invest in cash rather than lend to other participants. To understand the functioning of overnight markets in such an environment, we add the option to exchange central bank reserves for cash to the standard workhorse model of monetary policy implementation (Poole 1968). Importantly, we show that monetary policy is not constrained when just the deposit rate is below the yield on cash. However, it could be constrained when the target overnight rate is below the yield on cash. At this point, the overnight rate equals the yield on cash instead of the target rate. Modifications to the implementation framework, such as a tiered remuneration of central bank deposits contingent on cash withdrawals, can work to restore the implementation of monetary policy such that the overnight rate equals the target rate.