This paper explores the impact of credit market on the entrepreneurs and demand for credit in a credit constrained economy and the resultant impact on the capital flows. In standard trade models the capital flows across countries are explained as a result of the rate of return differentials due...

A pre-condition for employer learning is that signals at labor market entry do not fully reveal graduates’ productivity. I model various distinct sources of signal imperfection—such as noise and multi-dimensional types—and characterize their implications for the private return to skill...

We study competition among market designers who create new trading platforms, when boundedly rational traders learn to select among them. We ask whether efficient platforms, leading to market - clearing trading outcomes, will dominate the market in the long run. If several market designers are...

Trade costs are crucial in new economic geography (NEG) models. The unavailability of actual trade costs data requires the approximation of trade costs. Most NEG studies do not deal with the ramifications of the particular trade costs specification used. This paper shows that the specification...

We consolidate alternative ways for identifying stable and stressful scenarios in the S&P 500 market to construct contagion tests for recipient markets vulnerable to disturbances from this source market. The S&P 500 is decomposed into discrete conditions of: (1) Tranquil versus turbulent...

This paper analyzes the effects of several policy instruments to mitigate financial bubbles generated in the banking sector. We augment a New Keynesian macroeconomic framework by endogenizing boundedly-rational expectations on asset values of loan portfolios and allow for interbank trading. We...

We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an...

We examine the dynamic effects and empirical role of TFP news shocks in the context of frictions in financial markets. We document two new facts using VAR methods. First, a (positive) shock to future TFP generates a significant decline in various credit spread indicators considered in the...

Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our model economy, which resembles a typical machine learning setting, N...

Betting markets have been frequently used as a natural laboratory to test the efficient market hypothesis and to obtain insights especially for financial markets. We add to this literature in analyzing the velocity and accuracy in which market expectations adapt to an exogenous shock: the...