We document abnormal correlations between hedge funds' performance among managers sharing similar elite socio-economic backgrounds. In particular, Columbia, Harvard, University of Pennsylvania, Stanford, and NYU alumni are highly correlated among themselves. We take steps toward linking this...

We propose a novel structural estimation framework in which we train a surrogate of an economic model with deep neural networks. Our methodology alleviates the curse of dimensionality and speeds up the evaluation and parameter estimation by orders of magnitudes, which significantly enhances...

We theoretically characterize the behavior of machine learning asset pricing models. We prove that expected out-of-sample model performance—in terms of SDF Sharpe ratio and average pricing errors—is improving in model parameterization (or “complexity”). Our results predict that the best...

This paper studies a stylized economy in which the central bank can hold either treasuries or risky securities against central bank digital currency (CBDC) deposits. The key mechanism driving the results is the reduction in bank deposits that follows the introduction of a CBDC and its impact on...

In recent years, governments have allocated increasing capital to direct startup funding through Government-sponsored Venture Capital funds (GVC). In this paper, we study the role of GVCs in the venture capital market and their relationship with Private Venture Capitalists (PVC). Using European...

This paper develops a model to study how option market makers' inventory and capital influence the relative informativeness of the option and stock markets. The model suggests that the option market maker's capital defines a lower bound for the option market informativeness. In addition, when...

How does the market makers' aversion to unhedgeable risks influence option prices? We answer this question by introducing a new structural approach: deep replication. With this method, we extract the risk aversion of S&P500 options per contract and per day. Cross-sectionally, we show the...