We define and measure integration among a sample of 357 US banks over 25 years from 1993 to 2017 and show that the median US bank's integration has increased significantly post-2005. During the great recession and the Eurozone crisis, integration levels among US banks display a significant rise...

We consider inference of predictive regression with multiple predictors. Extant tests for predictability, including those constructed with robustness to unknown persistence and endogeneity of predictors, may perform unsatisfactorily and tend to discover spurious predictability as the number of...

This paper estimates profit margins in the U.S. airline industry at the domestic route level. The dynamic estimation methodology used not only is robust to any simultaneity/endogeneity bias by construction but also results in profit margin estimates that are highly consistent with actual profit...

Heteroskedasticity and autocorrelation-robust (HAR) inference in time series regression typically involves kernel estimation of the long-run variance. Conventional wisdom holds that, for a given kernel, the choice of truncation parameter trades off a test's null rejection rate and power, and...

This research reveals the inherent dynamics between the amount of foreign direct investment (FDI) inflow in the host country and its political relationships with other countries. We demonstrate in a two-stage sequential game model that there exists an inverted U-shape relationship between FDI...

I study the use of non-linear models and accounting inputs to predict the occurrence of litigated bankruptcies and their associated filing outcomes. The main purpose of this study is to identify the accounting patterns associated with bankruptcies. The filing outcomes include, among others, how...

Nonlinear classification models can predict future earnings surprises with a high accuracy by using pricing and earnings input data. Surprises of 15% or more can be predicted with 71% accuracy. These predictions can be used to form profitable trading strategies. Additional variables have been...

I propose to identify announcement-specific decompositions of asset price changes into monetary policy shocks exploiting heteroskedasticity in intraday data. This approach accommodates both changes in the nature of shocks and the state of the economy across announcements, allowing me to...

We develop and apply a new methodology in order to study the transmission mechanisms of international macroeconomic and financial shocks in the context of emerging markets. We propose a time-varying multi level factor augmented global VAR model which combines aspects of factor analysis and GVAR...

Do changes in the marginal tax rate of corporations affect their investment? Using a unique dataset on balance sheet and income of firms from 1956-2008 and a new measure of exogenous changes in corporations marginal tax rate, this paper shows that the investment response of large firms to a...