• 详情 IPO申购资金冻结对固定收益市场冲击研究
    本文利用2006至2015年期间A股IPO申购资金冻结政策,研究周期性流动性紧缩对货币市场和债券市场的影响。我们发现,IPO申购资金冻结显著推高主要货币市场利率:银行间隔夜回购利率、交易所隔夜回购利率和隔夜Shibor平均分别上升12.4、38.3和11.6个基点,且利率上升幅度与IPO资金冻结规模呈显著正相关关系。IPO资金冻结同时造成货币市场交易量和交易结构出现显著变化。此外,IPO资金冻结还推高部分债券市场利率,引发企业、金融机构甚至政府为应对流动性紧张而改变债券发行计划,各类信用债乃至国债在IPO资金冻结期间的日均发行量普遍下降20%至30%。最后,我们发现虽然央行会在IPO资金冻结期间通过逆回购向金融市场注入流动性,然而并不足以抵消IPO资金冻结造成的冲击。本文揭示了流动性冲击的跨市场溢出效应,强调了金融政策跨市场协调在防范系统性金融风险方面的重要性。
  • 详情 Social Networks in Motion: High-Speed Rail and Market Reactions to Earnings News
    We examine how social networks shaped by high-speed rail connections influence investor attention and market reactions to earnings announcements in China. Firms in high-centrality cities exhibit stronger immediate and subsequent responses in investor attention, stock price, and trading volume to earnings news. Further analysis shows that earnings-induced local attention predicts future attention spillovers to intercity investors, amplifying both price and volume reactions after announcements. Overall, these findings indicate that high-speed rail networks foster investor social networks that facilitate the dissemination of firm news and help explain predictable patterns in investor behavior and market pricing.
  • 详情 老年助餐补贴:标准测算及差异化补贴 ——基于不同行动能力老年人受助意愿的视角
    本文利用成都市温江区老年助餐补贴试点街道老年人调查数据,借鉴条件价值法(CVM),提出以老年人受助意愿为基础、按行动能力等级实施差异化补贴,测算了不同行动能力老年人对老年助餐的受助意愿,据此判断当前制定的补贴标准是否适中,以及针对不同行动能力老年人应是否制定差异化补贴标准。研究结果显示:(1)由于忽视了助餐补贴金额选择意愿中当社会支持、健康维护与生活便利等非经济因素对老年群体接受助餐补贴金额意愿的影响,按照当前补贴标准,政府对老年群体助餐补贴整体补贴不足;(2)不同行动能力条件下,老年目标群体对助餐补贴金额的意愿存在显著差异,政府需考虑针对不同行动能力老年群体制定差异化补贴。最后,本文还就研究中存在的一些局限进行了讨论,以期为后续老年助餐补贴标准研究提供启示。
  • 详情 A Pathway Design Framework for Rational Low-Carbon Policies Based on Model Predictive Control
    Climate change presents a global threat, prompting nations to adopt low-carbon development pathways to mitigate its potential impacts. However, current research lacks a comprehensive framework capable of integrating multiple variables and providing dynamic optimization capabilities. This article focuses on designing pathways for developing a low-carbon economy to tackle climate challenges. Specifically, we construct a low-carbon economy model that incorporates economic, environmental, social, energy, and policy factors to analyze the drivers of economic growth and carbon emissions. We utilize economic model predictive control and tracking model predictive control to optimize development pathways aligned with various low-carbon targets, creating and validating a comprehensive framework for low-carbon policy design using historical data from China. This study highlights significant advantages in analyzing low-carbon pathways through advanced techniques like hierarchical regression and model predictive control, providing a robust framework that enhances our understanding of causal relationships within the LCE system, captures system feedback, dynamically optimizes pathways, and accommodates diverse policies within a comprehensive low-carbon economy system.
  • 详情 Gambling Preference and IPO Premium
    This paper investigates the gambling preference of Chinese investors in the convertible bond (CB) market through a natural experiment—the 2018 amendment of Article 142 of the Company Law. Utilizing CB issuance data from 2016 to 2023, we employ a cohort difference-in-difference approach and find a 4% to 7% increase in IPO premiums for high-repurchase-expectation CBs across various measures. This significant increase indicates that the legal revision reshapes investors’ expectation and adjusts their valuation of CBs. Furthermore, the event-study analysis reveals the escalating impact of legal revision, driven by the herding behavior of gambling investors.
  • 详情 Does Cross-Asset Time-Series Momentum Truly Outperform Single-Asset Time-Series Momentum? New Evidence from China's Stock and Bond Markets
    We revisit cross-asset time-series momentum (XTSM) and single-asset time-series momentum (TSM) in China's stock and bond markets. With a fixed-effects model, we find a positive momentum from bonds to stocks and a negative momentum from stocks to bonds, with both momentum persisting for no more than six months. By employing a cross-grouping method, we find that the choice of lookback periods and asset signals impacts the performance of XTSM and TSM. A comparison between XTSM, TSM, and time-series historical (TSH) portfolios reveals that XTSM outperforms in small/midcap stocks and government bonds, while its performance is weak in large-cap stocks and corporate bonds. A spanning test confirms that XTSM generates excess returns that other pricing factors can not explain. XTSM is more prone to momentum crashes. Increased market stress has similarly adverse effects on XTSM and TSM. Furthermore, Market illiquidity, IPO counts, new investor accounts, and consumer confidence index positively correlate with the returns of XTSM and TSM portfolios, while IPO first-day return and turnover rate correlate negatively. The effects of these sentiment indicators exhibit heterogeneity.
  • 详情 Conversion to Green Energy in China: Perspectives and Environmental Law
    This study was conducted to understand better how rules influence China's energy performance; this research on these policies' efficacy that facilitating the transition to sustainable energy sources is of tremendous significance, particularly in light of the severe problems climate change poses. To determine whether or not strict regulations are beneficial to China's energy transition efforts, this research makes use of a substantial amount of data about China's environmental laws and environmental transition policies. This paper thoroughly analyses the impact of strict environmental regulations on various energy transition measures. These metrics include the availability of green energy, carbon emissions, and energy efficiency. The results provide insights into how environmental restrictions have affected China's transition to a different energy source. Policymakers and stakeholders may use this information to build efficient plans to expedite the transition to a low-carbon, renewable energy system in China and abroad.
  • 详情 Social Distrust and Household Savings: Evidence from China
    This paper examines the impact of social distrust on household saving in China using a microsample from the China Family Panel Studies (CFPS). We find that social distrust leads to an increase in savings within households, in which households not living alone, with higher levels of education and urban households are more affected. We also find that social distrust affects household savings through raising risk expectations, reducing credit availability and amplifying risk spillovers from real estate markets.
  • 详情 Geographic Distance from the Government and Corporate Charitable Donations
    To better understand the government’s role in corporate social responsibility (CSR), we use the relocation of local governments in China as an exogenous shock to examine how geographic distance from the government affects corporate charitable donations. The Difference-in-Differences (DiD) analysis indicates that firms reduce charitable donations when local governments move closer. This effect is more pronounced for non-state-owned enterprises and for firms located in cities with lower fiscal pressure. The results remain consistent to a series of robustness tests, including alternative sample specifications, different measures of donations, and various estimation methods. We do not observe a corresponding increase in donations when governments move farther away. Additional analysis indicates that when the government relocates closer, firms may reallocate resources away from traditional charitable donations toward CSR activities that involve more active engagement.