Acknowledges Financial Support Research Articles

Like Stars: How Firms Learn at Scientific Conferences

Scientific conferences are an underexplored channel by which firms can learn from science. We provide empirical evidence that firms learn from scientific conferences in which they participate but also that this is conditional on intense participation. Using data from conference papers in computer science since the 1990s, we show that corporate investments in participation are both frequent and highly skewed, with some firms contributing to a given conference scientifically, some as sponsors, and some doing both. We use direct flights as an instrumental variable for the probability that other scientists participate in the same conference as a firm, altering the knowledge set to which the firm is exposed. We find that a firm’s use of scientists’ knowledge increases when they participate in the same conferences. Greater participation efforts, where the firm seeks the spotlight by both sponsoring the conference and contributing to its scientific discourse, foretell research collaborations and a stronger learning effect. Such learning is disproportionately concentrated among the most prominent firms and scientists rather than benefitting those without alternative interaction channels. Therefore, on average, firms learn from scientists that they encounter at conferences, but the substantial heterogeneity of the effect reflects the influence of reputation mechanisms in social interactions. This paper was accepted by Ashish Arora, entrepreneurship and innovation. Funding: S. Baruffaldi acknowledges financial support from the Swiss Science National Foundation (Reference No.: P2ELP1-161847). Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01373 .

Industry Peer Information and the Equity Valuation Accuracy of Firms Emerging from Chapter 11

Valuation plays a central role in determining Chapter 11 reorganization outcomes. However, obtaining accurate valuation estimates of reorganized firms is challenging because of limited firm-specific market-based information and the oft-conflicting incentives of claimholders. We examine the role of industry peer information in reducing misvaluations and its implications for unintended interclaimant wealth transfers and postreorganization performance. First, we find that the availability of relevant industry peer information is negatively associated with equity valuation errors for firms emerging from Chapter 11. Cross-sectional results suggest that the relation between industry peer information and valuation errors varies substantially with debtors’ information environment and case characteristics. Second, we find that industry peer information quality is associated with better ex post financial performance of emerged firms because of lower overvaluation. Finally, we document the role of industry peer information in substantially reducing the frequency and magnitude of unintended wealth transfers between claimants arising from equity valuation errors. This paper was accepted by Suraj Srinivasan, accounting. Funding: The authors appreciate financial support from the Social Sciences and Humanities Research Council of Canada [Grant 435-2020-0583] and the Canadian Academic Accounting Association. B. Fang acknowledges financial support from the Della Suantio Fellowship. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01233 .

Target Firm Advertising and Firm Value

Consistent with hypotheses underlying firm advertising, we find that targets with pretakeover advertising obtain higher premiums, whereas their acquirers earn lower announcement returns. These economically significant effects suggest that through advertising, targets increase their profile and negotiating power. Further, targets that advertise are more likely to initiate their takeovers, attract multiple bidders, receive enhanced bids, capture more merger rents, and even in failed acquisitions, experience a 1% permanent revaluation. The latter result differentiates between information asymmetry and behavioral explanations for the target advertising. Overall, the results support the hypothesis that management advertises to transmit information to investors and potential acquirers. This paper was accepted by Victoria Ivashina, finance. Funding: A. L. Tran acknowledges financial support from the Mergers and Acquisitions Research Centre at Bayes Business School. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01534 .

Bidder-Specific Synergies and the Evolution of Acquirer Returns

Largely constant average acquirer returns over the past four decades mask fundamental changes in the takeover market. Controlling for bidder composition, the common component of acquirer returns has increased by five percentage points relative to the 1980s. Offsetting this increase, the average bidder-specific component has declined. We propose a theory of bidder-specific synergies to help interpret these opposing trends. In our theory and in the data, acquirer returns increase with the extent to which synergies are unique to that bidder. The composition effect reflects bidder uniqueness. Overall, the evidence is consistent with rising merger synergies that have become less bidder specific. This paper was accepted by Victoria Ivashina, finance. Funding: A. Golubov acknowledges financial support from the Bank of Canada [Governor’s Award]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.02208 .

Patents, Freedom to Operate, and Follow-on Innovation: Evidence from Post-Grant Opposition

We study the blocking effect of patents on follow-on innovation by others. We posit that follow-on innovation requires freedom to operate (FTO), which firms typically obtain through a license from the patentee holding the original innovation. Where licensing fails, follow-on innovation is blocked unless firms gain FTO through patent invalidation. Using large-scale data from post-grant oppositions at the European Patent Office, we find that patent invalidation increases follow-on innovation, measured in citations, by 16% on average. This effect exhibits a U-shape in the value of the original innovation. For patents on low-value original innovations, invalidation predominantly increases low-value follow-on innovation outside the patentee’s product market. Here, transaction costs likely exceed the joint surplus of licensing, causing licensing failure. In contrast, for patents on high-value original innovations, invalidation mainly increases high-value follow-on innovation in the patentee’s product market. We attribute this latter result to rent dissipation, which renders patentees unwilling to license out valuable technologies to (potential) competitors. This paper was accepted by Ashish Arora, entrepreneurship and innovation. Funding: This work was supported by the Deutsche Forschungsgemeinschaft [Collaborative Research Center TRR 190]. F. Gaessler acknowledges financial support from the Spanish Agencia Estatal de Investigación through the Severo Ochoa Programme for Centres of Excellence in R&D [Barcelona School of Economics CEX2019-000915-S]. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2019.02294 .

Correlated Equilibria for Mean Field Games with Progressive Strategies

In a discrete space and time framework, we study the mean field game limit for a class of symmetric N-player games based on the notion of correlated equilibrium. We give a definition of correlated solution that allows us to construct approximate N-player correlated equilibria that are robust with respect to progressive deviations. We illustrate our definition by way of an example with explicit solutions. Funding: O. Bonesini acknowledges financial support from Engineering and Physical Sciences Research Council [Grant EP/T032146/1]. M. Fischer acknowledges partial support through the University of Padua [Research Project BIRD229791 “Stochastic mean field control and the Schrödinger problem”].

Nonperforming Loan Disposals Without Resolution

Using proprietary data on nonperforming loan (NPL) transactions in China, we document that banks conceal NPLs in disposal transactions that are supposed to resolve NPLs. In these transactions, banks provide financing and retain the credit risks and debt collection obligations. Transaction prices contradict underlying credit risks: Despite being delinquent for 4.5 years, the median NPL package is sold at face value with zero haircut. The majority of NPL packages are resold at a premium to banks’ non–government-owned borrowers, further supporting the concealment view. Banks under stricter regulation conceal NPLs more and engage in more illicit concealment. NPL-concealing banks increase zombie lending, suggesting that an ineffective resolution exacerbates credit misallocation. Recognizing the hidden NPLs implies the total NPLs in China is two to three times the reported amount. This paper was accepted by Victoria Ivashina, finance. Funding: B. Charoenwong acknowledges financial support from the Singapore Ministry of Education [AcRF Tier 1 Research Grant A-8000760-00-00]. T. Ruan acknowledges financial support from the National University of Singapore (NUS) [Start-Up Grant A-0003870-00-00]. B. Charoenwong and T. Ruan acknowledge financial support from the NUS Business School Financial Database [Grant N-311-000-251-001]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.02163 .

Taylor Approximation of Inventory Policies for One-Warehouse, Multi-Retailer Systems with Demand Feature Information

We consider a distribution system in which retailers replenish perishable goods from a warehouse, which, in turn, replenishes from an outside source. Demand at each retailer depends on exogenous features and a random shock, and unfulfilled demand is lost. The objective is to obtain a data-driven replenishment and allocation policy that minimizes the average inventory cost per time period. The extant data-driven methods either cannot guarantee a feasible solution for out-of-sample feature observations or generate one with excessive computational time. We propose a policy that resolves these issues in two steps. In the first step, we assume that the distributions of features and random shocks are known. We develop an effective heuristic policy by using Taylor expansion to approximate the retailer’s inventory cost. The resulting solution is closed-form, referred to as Taylor Approximation (TA) policy. We show that the TA policy is asymptotically optimal in the number of retailers. In the second step, we apply the linear quantile regression and kernel density estimation to the TA solution to obtain the data-driven policy called Data-Driven Taylor Approximation (DDTA) policy. We prove that the DDTA policy is consistent with the TA policy. A numerical study shows that the DDTA policy is very effective. Using a real data set provided by Fresh Hema, we show that the DDTA policy reduces the average cost by 11.0% compared with Hema’s policy. Finally, we show that the main results still hold in the cases of correlated demand features, positive lead times, and censored demand. This paper was accepted by J. George Shanthikumar, data science. Funding: Y. Yang acknowledges financial support from the NSFC [Grants 72125004, 71821002]. W. Zhou acknowledges financial support from the NSFC [Grants 72192823, 71821002]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2021.04241 .

A Better Estimate of Internally Generated Intangible Capital

Internally developed intangibles are not included in reported assets under U.S. generally accepted accounting principles. The omission of this increasingly important class of assets reduces the usefulness and relevance of financial statement analysis, conducted with reported values of equity and assets. Recent studies overcome this deficiency by capitalizing research and development (R&D) expenses to estimate the value of knowledge capital and by capitalizing selling, general, and administrative (SG&A) expenses to estimate the value of organization capital. Those two estimates are then added to reported values for financial statement analysis. For convenience, many studies rely on two rules of thumb and assume them to be equally applicable in all instances: (1) 30% of SG&A and 100% of R&D expenses are investments, and (2) the useful life of SG&A and R&D investments is three and five years, respectively. We propose a more flexible approach by estimating the capitalization and amortization parameters on an industry–year–specific basis. Our modified values of total assets and equity, inclusive of the value of capitalized intangibles, exhibit greater association with future returns and investments compared with as-reported values and values estimated with uniform rules of thumb. We provide a better estimate of intangible capital for the consumers of financial statements. This paper was accepted by Ranjani Krishnan, accounting. Funding: A. Srivastava and R. Zhao acknowledge financial support from the Social Sciences and Humanities Research Council of Canada. A. Srivastava acknowledges financial support from the Canada Research Chairs Program of the Government of Canada. A. Iqbal acknowledges financial support from the Canadian Securities Institute Research Foundation and Chartered Professional Accountants (Alberta) Education Foundation. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2022.01703 .

Fintech Platforms and Mutual Fund Distribution

We document a novel platform effect caused by the emergence of fintech platforms in the intermediation of financial products. In China, platform distributions of mutual funds emerged in 2012 and grew quickly into a formidable presence. Utilizing the staggered entrance of funds onto platforms, we find a marked increase of performance chasing driven by the centralized information flow unique to fintech platforms. This pattern is further confirmed using proprietary data from a top platform. Examining the platform impact on fund managers, we find that incentivized by the amplified performance chasing, fund managers increase risk-taking to enhance their probability of getting onto the top ranking. This paper was accepted by William Cong, finance. Funding: X. Lu acknowledges financial support from the National Natural Science Foundation of China [Grant 72003126]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01966 .

Buy Now Pay (Pain?) Later

“Buy-now-pay-later” (BNPL) is a relatively unregulated FinTech innovation that provides consumers with easy access to credit for retail purchases. BNPL spending is projected to reach $1 trillion by 2025, but we know little about its effects. Using banking data for 10.6 million U.S. consumers, we investigate the effects of BNPL on leading indicators of users’ financial health. We find that new BNPL users experience rapid increases in bank overdraft charges and credit card interest and fees compared with nonusers, consistent with BNPL facilitating overborrowing. An instrumental variable exploiting consumers’ pre-BNPL shopping habits bolsters our inferences. Our results inform regulatory investigations into the effects of BNPL on users’ financial health and expand academia’s understanding of an important consumer credit innovation. This paper was accepted by Camelia Kuhnen, finance. Funding: E. deHaan acknowledges financial support from Stanford University; B. Lourie and C. Zhu acknowledge financial support from University of California Irvine. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.03266 .

Prior Information and Consumer Search: Evidence from Eye Tracking

Do consumers search the brands they know more or less frequently than the brands with which they are unfamiliar? In this paper, we attempt to answer this question using data from an experiment with two novel features: (i) survey information on consumers’ prior brand ownership, familiarity with each brand, and prior experience using different product features and (ii) eye-tracking data capturing search behavior at a very granular level. We find that consumers are generally more likely to search and buy brands they own and with which they are familiar, highlighting the importance of accounting for prior information. For this reason, we develop a search model in which both the information obtained during the search process and the information possessed by consumers prior to search are allowed to influence search and purchase decisions. Our model contributes to prior work by modeling search at the brand and attribute levels within a Bayesian learning framework. Using this model, we then quantify the impact of prior information on consumer choices as well as document the estimation bias arising when prior information is absent from the model. Finally, through a series of counterfactuals, we explore the managerial value of prior information data. This paper was accepted by Matt Shum, marketing. Funding: Q. Wang acknowledges financial support from the National Science Foundation of China [Grant 72072145] and the Natural Science Basic Research Program of Shaanxi Province [Grant 2020JQ-226]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2021.00611 .

The Real Effects of Shadow Banking: Evidence from China

We provide firm-level evidence on the real effects of shadow banking in terms of technological innovation. Firm-to-firm entrusted loans, the largest part of the shadow banking sector in China, enhance the borrowers’ innovation output. The effects are more prominent when the borrowers are subject to severer financial constraints, information asymmetry, and takeover exposures. A plausible underlying channel is capital reallocations from less productive but easily financed lender firms to more innovative but financially less privileged borrower firms. Our paper suggests that shadow banking helps correct bank credit misallocations and thus, serves as a second-best market design in financing the real economy. This paper was accepted by Kay Giesecke, finance. Funding: X. Tian and Y. Wang acknowledge financial support from the National Natural Science Foundation of China [Grant 71825002] and the Beijing Outstanding Young Scientist Program [Grant BJJWZYJH012019100003014]. G. Tu acknowledges financial support from the National Natural Science Foundation of China [Grant 72010107001]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.00953 .

Mapping U.S.–China Technology Decoupling: Policies, Innovation, and Firm Performance

We develop measures of technology decoupling and dependence between the United States and China based on combined patent data. The first two decades of the century witnessed a steady increase in technology integration (or less decoupling), but China’s dependence on the United States increased (decreased) during the first (second) decade. Firms covered by China’s Strategic Emerging Industries policies became less decoupled with the United States, gained cash flows, and gained valuation, but they saw no improvement in either innovation output/quality or productivity. Post-U.S. sanctions, firms in sanctioned sectors and their downstream suffered in performance but also became less decoupled with the United States. However, firms in the upstream of the sanctioned sectors improved productivity and produced more high-quality innovations. This paper was accepted by William Cong, finance. Funding: P. Han acknowledges financial support from China’s Natural Science Foundation [Grant 72103003]. W. Jiang acknowledges financial support from the Chazen Institute of Global Business at Columbia Business School. D. Mei acknowledges financial support from the Association of Southeast Asian Nations Business Research Initiative [grant with Cheung Kong Graduate School of Business and Singapore Management University]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.02057 .

Strongly Convergent Homogeneous Approximations to Inhomogeneous Markov Jump Processes and Applications

The study of time-inhomogeneous Markov jump processes is a traditional topic within probability theory that has recently attracted substantial attention in various applications. However, their flexibility also incurs a substantial mathematical burden which is usually circumvented by using well-known generic distributional approximations or simulations. This article provides a novel approximation method that tailors the dynamics of a time-homogeneous Markov jump process to meet those of its time-inhomogeneous counterpart on an increasingly fine Poisson grid. Strong convergence of the processes in terms of the Skorokhod J1 metric is established, and convergence rates are provided. Under traditional regularity assumptions, distributional convergence is established for unconditional proxies, to the same limit. Special attention is devoted to the case where the target process has one absorbing state and the remaining ones transient, for which the absorption times also converge. Some applications are outlined, such as univariate hazard-rate density estimation, ruin probabilities, and multivariate phase-type density evaluation. Funding: M. Bladt and O. Peralta would like to acknowledge financial support from the Swiss National Science Foundation Project 200021_191984. O. Peralta acknowledges financial support from NSF Award #1653354 and AXA Research Fund Award on “Mitigating risk in the wake of the pandemic”.

Takeover Protections and Asset Prices

We study the effects of takeover feasibility on asset prices and returns in a unified framework. We show theoretically that takeover protections increase equity risk, stock returns, and bond yields by removing a valuable put option to sell the firm, notably for firms approaching distress. We investigate these claims empirically and find that distressed firms experience a significant decrease in value and increase in returns and market betas after the passage of antitakeover laws, in line with our predictions. At issue bond yields are also higher when an antitakeover law is in effect. Consistent with the model, the effects of antitakeover laws on stock returns, respectively, bond yields, are greater when shareholders, respectively, bondholders, have greater bargaining power. This paper was accepted by Lukas Schmid, finance. Funding: E. Morellec acknowledges financial support from the Swiss Finance Institute. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.03111 .

Steering the Intangible Wheel: Chief Executive Officer Effect on Corporate Cultural Change

We provide large-scale empirical evidence of how much chief executive officers (CEOs) change corporate culture. To do this, we use employee reviews to measure corporate cultural change in S&P 1500 firms. In a variance decomposition analysis, we find a modest effect of CEOs on corporate cultural change. The effect of CEOs on cultural change is larger than industry effect but smaller than firm effect. Regression analysis in the context of CEO succession further shows consistent evidence of a modest effect of CEO succession on corporate cultural change. In addition, the relationship between CEOs and cultural change is not likely to be fully explained by time trend, reverse causality, sample selection bias, and omitted variable bias. An investigation into the contextual contingencies of the CEO-cultural change relationship suggests that succession characteristics, such as predecessor influence and turnaround situation, weaken postsuccession cultural change, but industry task environment has a weak moderation effect. Overall, our study contributes to the literature on strategic leadership and corporate culture. Funding: X. Li acknowledges financial support from the Ian Potter (‘93D) PhD Award. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.17210 .

Interfacial Degradation Processes in Solid-State Batteries during High Temperature Processing and the Mitigation Strategies

Garnet-type solid electrolytes have been extensively investigated in recent times as potential candidates for solid-state batteries. Among them, garnets with nominal composition Li7La3Zr2O12(LLZO) have received particular attention due to their high Li-ion conductivity (10-3 Scm-1) at room temperature and chemical stability against metallic lithium besides possessing a large electrochemical window >5V.[1] Despite of striking properties, LLZO suffers from several challenges such as interfacial instability with cathodes, e.g., LCO, during high temperature processing, resulting in a huge interface resistance, which is one of the fundamental reasons for the failure of solid-state batteries based on LLZO.[2-4] So far, the high interfacial impedance has been related to LLZO|LCO interface decomposition occurring due to diffusion of Co across the cathode-electrolyte interface. Herein, we investigated the hypothesis that interfacial degradation originate from the incorporation of Co into the LLZO lattice. The solubility limit of Co is determined to be 0.16 per formula unit, whilst the concentrations beyond promote phase transition (cubic LLZO-to-tetragonal LLZO). We investigated in detail the temperature-dependent Co diffusion into LLZO and concluded that detrimental cross diffusion could take place at any relevant process condition. Besides, the optimal protective Al2O3 coating thickness for relevant temperatures was studied, which allowed to create a process diagram to provide mitigation strategies towards enabling stable LCO|LLZO interface in all-solid-state batteries. Keywords: Solid-state batteries, Interfaces, cross diffusion, interfacial degradation AcknowledgementsD.R. acknowledges financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association (Christian Doppler Laboratory for Solid-State Batteries). D.R. and J. F. acknowledges financial support by the Austrian Science Fund (FWF) in the frame of the project InterBatt (P 31437). D.K. acknowledges funding by the European Union’s Horizon 2020 Research and Innovation Programme (Grant No. 823717, project “ESTEEM3”) and by the Zukunftsfond Steiermark.Reference[1] Murugan, R., Thangadurai, V. and Weppner, W., 2007. Fast Lithium Ion Conduction in Garnet‐type Li7La3Zr2O12. Angew. Chemie. Int. Edt., 46(41), 7778-7781.[2] Chen, X., Xie, J., Zhao, X., & Zhu, T., 2021. Electrochemical Compatibility of Solid‐State Electrolytes with Cathodes and Anodes for All‐Solid‐State Lithium Batteries: A Review. Adv. Energy Sustain. Res., 2(5), 2000101.[3] Sakuda, A., Hayashi, A., Tatsumisago, M., 2010. Interfacial Observation Between LiCoO2 Electrode and Li2S-P2S5 Solid Electrolytes of All-Solid-State Lithium Secondary Batteries Using Transmission Electron Microscopy. Chem. Mater., 22(3), 949–956.[4] Ihrig, M., Kuo, L.Y., Lobe, S., Laptev, A.M., Lin, C.A., Tu, C.H., Ye, R., Kaghazchi, P., Cressa, L., Eswara, S. and Lin, S.K., 2023. Thermal Recovery of the Electrochemically Degraded LiCoO2/Li7La3Zr2O12: Al, Ta Interface in an All-Solid-State Lithium Battery. ACS Appl. Mater. Interfaces.

A Tetramethylurea-Electrolyte-Based Lithium-Oxygen Battery with High Performance and Alternative Mechanism

The electrolyte is a critical component in electrochemical energy storage devices as it creates the reaction environment for the electrode process. In lithium–oxygen (Li–O2) batteries, the oxygen electrode reaction involves a complex multiphase transition (e.g., gas, liquid, solid) and a variety of intermediates (e.g., O2 –, O2 2–, 1O2), making the role of the electrolyte system more prominent. As an ideal electrolyte for Li–O2 batteries, it should not only resist the attack of superoxide intermediate, but also provide a kinetically favorable O2 redox reaction mechanism. However, currently, no electrolyte solvent is perfectly suitable for Li–O2 batteries, which greatly limited their practical applications. Here, we present a new electrolyte solvent, 1,1,3,3-tetramethylurea, for Li–O2 batteries that exhibits high performance and an alternative mechanism. Specifically, it enables a kinetically favorable one-electron Li2O2 oxidation pathway upon charging. Furthermore, due to the absence of alpha-hydrogen atoms in its molecular structure, it also exhibits good stability in the presence of superoxide intermediates, significantly suppressing the related hydrogen extraction side reactions. Consequently, Li–O2 batteries utilizing this electrolyte show a much lower charge overpotential and a four-fold longer cycle life compared to those with the benchmark electrolyte. Acknowledgments X.L. acknowledges financial support from the Marie Skłodowska-Curie Actions (grant agreement No. 101064286) for his postdoctoral fellowship.

Replicating and Digesting Anomalies in the Chinese A-Share Market

We replicate 469 anomaly variables similar to those studied by Hou et al. (2020) using Chinese A-share data and a reliable testing procedure with mainboard breakpoints and value-weighted returns. We find that 83.37% of the anomaly variables do not generate significant high-minus-low quintile raw return spreads. Further adjusting risk increases the failure rate slightly to 84.22% based on CAPM alphas and 86.99% based on Fama–French three-factor alphas. We show that the conventional procedure using all A-share breakpoints with equal-weighted returns for the anomaly test is indeed problematic as it assigns too much weight to microcaps and has a very limited investment capacity. The CH3-factor, CH4-factor, and q-factor models show the best performance over the whole sample period. The q-factor model is the best performer in the post-2007 subsample period after significant improvements occurred in China’s financial market environment, such as the completion of the split-share structure reform and the implementation of new accounting standards conforming to the International Financial Reporting Standards. The non–state-owned enterprise subsample in the post-2007 period is a cleaner sample in which the CH4-factor and q-factor models are the best performers. This paper was accepted by Lukas Schmid, finance. Funding: Z. Li acknowledges financial support from the National Natural Science Foundation of China [Grant 72103043] and the Fundamental Research Funds for the Central Universities in UIBE [Grants 19QN01 and 22PY053-72103043]. L. X. Liu acknowledges financial support from the National Natural Science Foundation of China [Grants 71872006 and 72273006]. L. X. Liu and X. Liu acknowledge financial support from the Guanghua Thought Leadership Platform of Peking University. K. C. J. Wei acknowledges partial financial support from the Research Grants Council of the Hong Kong Special Administrative Region, China [Grant 15507320]. The authors acknowledge financial support from the Guanghua School of Management, Peking University; the School of Banking and Finance, University of International Business and Economics; and the Non-PAIR Research Centre “Research Centre for Quantitative Finance” at Hong Kong Polytechnic University. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.4904 .