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We introduce artificial intelligence pricing theory (AIPT). In contrast with the APT's foundational assumption of a low dimensional factor structure in returns, the AIPT conjectures that returns are driven by a large number of factors. We first verify this conjecture empirically and show that...
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We document that corporates in emerging markets borrow more in foreign currency when the local currency provides a better hedge in downturns. We develop an international corporate finance model in which firms facing adverse selection choose the foreign currency share of their debt. In the unique...
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How does private information get incorporated into option prices? To study this question, I develop a non-linear, noisy rational expectations equilibrium model with asymmetric information and a full menu of call and put options available for trading. The model allows for an arbitrary...
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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...
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US money market funds (MMFs) play an important role in short-term markets as large investors of Treasury bills (T-bills) and repurchase agreements (repos) with banks and the Federal Reserve, some of the world’s safest and most liquid assets. We build a theoretical model in which MMFs’...
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