We present a classical enhancement to improve the accuracy of the Hybrid variant (Hybrid HHL) of the quantum algorithm for solving linear systems of equations proposed by Harrow, Hassidim, and Lloyd (HHL). We achieve this by using higher precision quantum estimates of the eigenvalues relevant to the linear system, and a new classical step to guide the eigenvalue inversion part of Hybrid HHL.

Residential Property Assessed Clean Energy (PACE) loans allow homeowners to fund investments in green residential projects through property tax payments. We assess the housing market effects of PACE using novel loan-level data from Florida merged to property transaction, tax, and permitting records.

Short sellers are widely known to be informed, which would typically suggest that they demand liquidity. We obtain comprehensive transaction-level data to decompose daily short volume into liquidity-demanding and liquidity-supplying components. Contrary to conventional wisdom, we show that the most informed short sellers are actually liquidity suppliers, not liquidity demanders.

The paper studies the nowcasting of Euro area Gross Domestic Product (GDP) growth using mixed data sampling machine learning panel data regressions with both standard macro releases and daily news data.

This paper uses two large panel data sets in China to study the effects of a health shock on household income mobility from 1991 to 2016. We compare outcomes of households with a member who receives a health shock with comparable households that do not receive any health shocks.

Both the increased transparency and the institutionalization of the municipal bond market have led to dramatic declines in the profits of underwriters, especially so for those whose underwriting activity is national in scope. Using comprehensive data on all trades, all bonds, and all underwriting spreads available between 2005 and 2023, we show that underwriters facing increasingly informed investors in the primary market are unable to capture high markups from investors but are also unable to raise costs to issuers.

This paper investigates the causal impact of entrepreneurs' prior experience on startup success. Employing within-country changes in Green Card wait lines to instrument for immigrant first-time entrepreneurs' experience, we uncover that startups led by more experienced founders demonstrate superior funding, patenting, and employee growth.

We formulate quantum computing solutions to a large class of dynamic nonlinear asset pricing models using algorithms, in theory exponentially more efficient than classical ones, which leverage the quantum properties of superposition and entanglement. The equilibrium asset pricing solution is a quantum state. We introduce quantum decision-theoretic foundations of ambiguity and model/parameter uncertainty to deal with model selection.

We show that firms increase their pollution intensity as they become more financially distressed. This is particularly the case in high-environmental liability risk locations, akin to a risk-taking motive. We then rationalize these facts by calibrating a dynamic model featuring endogenous default, and dirty vs. clean investment.

Global risk and risk aversion shocks have distinct distributional impacts on capital flows with salient consequences for tail risk in emerging markets. Open-end mutual fund trading provides a key mechanism linking shocks facing global investors to extreme capital flow realizations. The effects are heterogeneous across asset classes and fund types.