发表论文 PUBLICATIONS
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Learning to Optimally Stop Diffusion Processes, with Financial Applications
by Yu Sun, Min Dai, Zuoquan Xu, Xunyu Zhou
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Dynamic Portfolio Selection and Asset Pricing under Neo-Additive Probability Weighting
by Yu Sun, Xuedong He
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Monetary Policy in Open Economies with Production Networks
by Zhesheng Qiu, Yicheng Wang, Le Xu, Francesco Zanetti
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Demystifying the Black Box: Organizational Design and Contracting for Technology Partnerships
by Sandip Bisui, Jeffrey J. Reuer, Harsha Tadikonda, Kun Zhang
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Digital Institutions and Virtual Involvement of Bom Digital Firms
by Yinuo Tang, Yan Shen, Juan Bu , Dongfa Feng
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When Should Restaurants Subsidize Online Platforms? The Impact of Delivery Agents
by Ehsan Bolandifar, Zhong Chen, Jinxin Yang, Weihua Zhou
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Expecting Floods: Firm Entry, Employment, and Aggregate Implications Forthcoming
by Ruixue Jia, Xiao Ma, Victoria Wenxin Xie
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Meme Advertising for Luxury Brands: Effects on Perceived Funniness and Sharing Intention
by Tae Hyun Baek, Jooyoung Park, Jeong Soo Kim
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Soldiering in the Special Zone: The People's Liberation Army Engineering Corps in Shenzhen
by Taomao Zhou*, Cuifen Weng
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AI scientists' and lay publics' views of AI's social impacts: segmentation analyses on risk and benefit perceptions
by Luye Bao, Mikhaila N. Calice, Dominique Brossard
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The Role of Courage and Individual Entrepreneurial Orientation in Minority Entrepreneurship
by Andre Cavalcanti, Joao J. Ferreira, Stephan Gerschewski
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Are Female Leaders Hiring More Female Workers? Evidence from Developing Countries
by Xuhang Shen, Jiaxuan Zhang
Abstract: This paper investigates whether female leaders of firms in developing countries tend to hire more female workers. We develop a theoretical model in which female leaders increase the share of female workers by reducing statistical discrimination or taste-based discrimination against female workers. We then employ the World Bank Enterprise Survey (WBES) data for 125 developing countries over the period of 2006–2023 and find that female leaders increase the share of female workers in firms. Further analyses confirm the results, including coefficient stability test, robustness of inference to replacement, 2SLS analysis, firm fixed effects model, and the double machine learning method. We find suggestive evidence of mechanisms supporting the hypothesis that female leaders can increase female employment by mitigating statistical discrimination. However, we find no evidence supporting the hypothesis that female leaders promote female employment by alleviating taste-based discrimination.
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Option Pricing Under the Normal SABR Model with Gaussian Quadratures
by Jaehyuk Choi, Byoung Ki Seo
Abstract: The stochastic-alpha-beta-rho (SABR) model has been widely adopted in options trading. In particular, the normal (β=0) SABR model is a popular model choice for interest rates because it allows negative asset values. The option price and delta under the SABR model are typically obtained via asymptotic implied volatility approximation, but these are often inaccurate and arbitrageable. Using a recently discovered price transition law, we propose a Gaussian quadrature integration scheme for price options under the normal SABR model. The compound Gaussian quadrature sum over only 49 points can calculate a very accurate price and delta that are arbitrage-free.
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Modelling and Analysis of Misinformation Diffusion Based on the Double Intervention Mechanism
by Cheng Jiang*, Yongtian Yu, Xinyu Zhang
Abstract: We study the quantitative impact of lender control rights on corporate investment, asset prices, and the aggregate economy. We build a general equilibrium model in which the breaching of a loan covenant (technical default) entails a switch in investment control rights from borrowers to lenders. Lenders optimally choose low-risk projects, thus mitigating borrowers’ risk-taking incentives and lowering the cost of equity. This mechanism generates strong macroeconomic effects and mitigates the financial accelerator. Consistent with our model, proximity to technical default in the data is associated with 4.12% lower returns and lower exposure to systematic risk.