We study Medicare’s competitive bidding program for durable medical equipment. We use Medicare claims data to examine the effect on prices and utilization, focusing on continuous positive airway pressure devices for sleep apnea. We find that spending falls by 47.2% after a highly imperfect bidding mechanism is introduced. This is almost entirely driven by a 44.8% price reduction, though quantities also fall by 4.3%. To disentangle supply and demand, we leverage differential cost sharing across Medicare recipients. We measure a demand elasticity of -0.272 and find that quantity reductions are concentrated among less clinically appropriate groups.

Exceptional accuracy and speed for option pricing are available via quadrature (Andricopoulos, Widdicks, Duck, and Newton, 2003), extending into multiple dimensions with complex path-dependency and early exercise (Andricopoulos, Widdicks, Newton, and Duck, 2007). However, the exposition is incomplete, leaving many modelling processes outside the Black-Scholes-Merton framework unattainable. We show how to remove the remaining major block to universal application. Although this had appeared highly problematic, the solution turns out to be conceptually simple and implementation is straightforward (we provide code on the Journal of Financial Economics website at http://jfe.rochester.edu). Crucially, the method retains its speed and flexibility across complex combinations of option features but is now applicable across other underlying processes.

We examine how fintech development affects corporate innovation. Using the city-level fintech index that includes 331 cities, which is constructed based on data from Ant Finance Service Group, we identify the economic mechanisms through which fintech development affects technological innovation. We show that firms that are more financially constrained exhibit a disproportionally higher innovation level in cities with better developed fintech services. We further find that fintech development promotes lending to firms and stimulates R&D investment because internet credit intensifies bank loan competition. Our paper provides new insights into the effects of fintech development on the real economy.

What drives a firm's investment decisions in China? While most literature focuses on the role of financial factors (such as cash flow), we explore this most important question in corporate finance from the perspective of economic fundamentals. Using a large number of proxies for investment opportunities and a variety of econometric approaches, our empirical results show that it is private firms that make the most of all types of investment opportunities in China. State-owned enterprises respond more to the investment opportunities from the supply side, but much less so to demand-side shocks and future profitability. Financial sector development is found to be conducive to the improvement of the investment efficiency of private firms by making them take better advantage of all types of investment opportunities in their decision-making. Our research calls for further institutional and financial sector reforms in China.

We document issuance overpricing of corporate debt securities in China, which is robust across subsamples with different credit ratings, maturities, and issuers. This phenomenon contrasts with underpricing of equity and debt securities in Western countries and reflects China's distinct institutional environment. The average overpricing dropped from 7.44 basis points to 2.41 basis points after the government prohibited underwriters from using rebates in issuances in October 2017. By analyzing overpricing before and after the rebate ban and across different issuers and underwriters, we uncover two channels for underwriters, who compete for future underwriting business, to drive up overpricing: rebates and self-purchases.

We investigate the role played by institutional development in the prevalence and performance of firms that are owned and/or managed by entrepreneurs or their families, while controlling for the potential effect of cultural norms. China provides a good research lab since it combines great heterogeneity in institutional development across its provinces with homogeneity in cultural norms, law, and regulation. Using hand-collected data from publicly listed Chinese firms, we find that, when institutional efficiency is high, entrepreneur- and family-controlled firms are more prevalent and exhibit superior performance than non-family firms. We find that the positive effects of family ownership and the negative effects of family control in excess of ownership that have been documented in earlier studies around the world are only significant in high-efficiency regions, and only for family-controlled firms proper, but not for entrepreneur-controlled firms. Institutional development also helps reconcile the divergence of results across prior studies regarding the performance impact of founders and their families as managers and not just owners. When institutional efficiency is high, the sign of the management effect is entirely contingent of whether the Chairman or CEO is the entrepreneur himself/herself (positive) or a family member (negative); when institutional efficiency is low, the effect is positive in both cases, and more strongly so in the case of a family member serving as CEO.

Financial market information can provide an objective assessment of losses anticipated from temperature changes. In an APT model in which temperature shocks are a systematic risk factor, the risk premium is significantly negative, loadings for most assets are negative, and asset portfolios in more vulnerable industries have stronger negative loadings on a temperature shock factor. Weighted average increases in the cost of equity capital attributed to uncertainty about temperature changes are 0.22 percent, implying a present value loss of 7.92 percent of wealth. These costs represent a new channel that may contribute to cost of climate change assessment.

We use a panel of over 116,000 Chinese firms of different ownership types over the period 2000–2007 to analyze the linkages between investment in fixed and working capital and financing constraints. We find that those firms characterized by high working capital display high sensitivities of investment in working capital to cash flow (WKS) and low sensitivities of investment in fixed capital to cash flow (FKS). We then construct and analyze firm-level FKS and WKS measures and find that, despite severe external financing constraints, those firms with low FKS and high WKS exhibit the highest fixed investment rates. This suggests that an active management of working capital may help firms to alleviate the effects of financing constraints on fixed investment.

We document that the aggregate hiring rate of publicly traded firms in the U.S. economy negatively predicts stock market returns and long-term cash flows, and positively predicts short-term cash flows. In addition, through a variance decomposition, we show that the time-series variation in the aggregate hiring rate is mainly driven by changes in discount rates and short-term expected cash flows, with no contribution from variation in long-term expected cash flows. We estimate a neoclassical dynamic model with labor market frictions and show that labor adjustment costs and time-varying risk are essential for the model to replicate the empirical patterns. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.