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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 test asset pricing errors---is improving in model parameterization (or "complexity''). Our empirical findings verify the...
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We introduce a new channel through which US money market funds (MMFs) affect the pricing of near-money assets and measured convenience yields. Our theoretical model reveals that MMFs' strategic interactions create frictions that are exacerbated by T-bill market illiquidity. Using instrumental...
Persistent link: https://www.econbiz.de/10014472623
Firms in emerging markets borrow more in foreign currency when the local currency actually provides a better hedge in downturns. Motivated by this fact, we develop an international corporate finance model in which firms facing adverse selection choose the foreign currency share of their debt. In...
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