This paper provides an overview of the evolution of macroeconomic thought from 1936, the year John Maynard Keynes published his general theory of employment, interest and money to the year 2010. It explores the reasons for the extension of the business cycle during the postwar period. The paper...

This paper analyzes the causes and implications of recent financial crises. Financial crises in general lead to changes in both theory and practice of economics. The paper takes an historical overview. The global consensus of economic theory during the 20th century is discussed. The paper...

We show that the difference between the natural rate of interest and the current level of monetary policy stance, which we label Convergence Gap (CG), contains information that is valuable for bond predictability. Adding CG in forecasting regressions of bond excess returns significantly raises...

We provide a critical theoretical and empirical analysis that suggests a key driver of fiscal effects on equity markets is the Federal Reserve. For the Post-1980 era, tax cuts lead to higher cash flow news and higher discount rates. The discount rate news tends to dominate such that tax cuts are...

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon - instead, I shift focus to severe downside risk (i.e., crashes). I use the cointegrating relationship between the log S&P Composite Index and log earnings over 1871 to 2015, combined with...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon - instead, I shift focus to severe downside risk (i.e., crashes). I use the cointegrating relationship between the log S&P Composite Index and log earnings over 1871 to 2015, combined with...

We study government policies designed to increase liquidity by extending government guarantees to fundamentally illiquid assets. We characterize the effects of such policies on equilibrium price dynamics, trading strategies, and welfare. We build on the strategic trading framework of...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

We study the behavior of experimental subjects who have to make a sequence of risky investment decisions in the presence of network externalities. Subjects follow a simple heuristic – investing after positive experiences and reducing their propensity to invest after a failure. This result...