Asset specificity and conditional accounting conservatism

Asset specificity, the redeployability of an asset to alternative uses, is a key determinant of an asset's resale value. Asset specificity has a direct impact on a firm's ongoing fair value determination, bankruptcy risk, liquidation value, and abandonment option. We document a significant negative association between asset specificity and conditional conservatism. Further tests reveal that this inverse relation manifests as bad news being less quickly incorporated in earnings as asset specificity increases. We find no difference in the extent to which good news is delayed in earnings for firms conditional on asset specificity. In addition, the documented association is stronger when asset specificity arises from lower within‐industry acquisition activity. The association is also more pronounced for firms that are in less competitive industries, have institutional investors, have limited access to the public debt market, and/or have more unsecured debt. Our findings are noteworthy for regulators and researchers given the recent interest in the determinants of conservatism.     

Stochastic regularization for the mean-variance allocation scheme

Despite being based on sound principles, the original Markovitz portfolio allocation theory cannot produce sound allocations, and restrictions or modifications need to be imposed from outside the theory in order to obtain meaningful portfolios. This is unsatisfactory, and the reasons for this failure are discussed, in particular, the unavoidable small eigenvalues of the covariance. Within the original principles of risk minimization and return maximization, several modifications of the original theory are introduced. First, the strategic and tactical time horizons are separated. A base long-term allocation is chosen at the strategic time horizon, while the portfolio is optimized at the tactical time horizon using information from the price histories. Second, the tactical portfolio is financed by the strategic one, and a funding operator is introduced. The corresponding optimal allocation (without constraints) has one free parameter fixing the leverage. Third, the transaction costs are taken into account. This includes the current re-allocation cost, but crucially the expected costs of the next reallocation. This last term depends on the sensitivity of the allocation with respect to the covariance, and the expectation introduces another dependency on the (inverse) covariance. The new term regularizes the original minimization problem by modifying the lower part of the spectrum of the covariance, leading to meaningful portfolios. Without constraints, the final Lagrangian can be minimized analytically, with a solution that has a structure similar to the original Markovitz solution, but with the inverse covariance regularized by the expected transaction costs.     

How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons

This study investigates the role of hedging and portfolio design among stocks, exchange rates, and gold in small open economies (SOEs) from 4 January 2000 to 31 March 2020. We adopt the trivariate dynamic conditional correlation-fractionally integrated asymmetric power ARCH model and unconditional quantile regression model, and our findings show that the hedging role of the U.S. dollar (USD) and gold against stocks differs under regular and extreme market conditions. The USD can act as a powerful hedge asset for stocks in regular market periods. Moreover, during the global financial crisis and COVID-19 outbreak, the safe-haven effect of gold becomes stronger for almost all stocks, whereas the USD can serve as a strong safe haven against stock markets of Korea, Taiwan, and Singapore when stock returns are extremely low. In terms of portfolio designing, we find that adding the USD and gold to portfolios improves their hedging effectiveness, and the optimally weighted stock-USD-gold portfolio is the best portfolio strategy, irrespective of referring to return or risk.     

Pricing the hedging factor in the cross-section of stock returns

We investigate the role of investors’ net hedging strategy (factor) in predicting stock returns and pricing the cross-section of individual stocks and equity portfolios. We estimate stock exposure to changes in the hedging factor and show that the hedging premium is driven by outperformance of stocks with large positive net hedging betas, which explains their higher average returns. We find the positive hedging premium indicates risk-averse investors demand extra compensation to hold stocks with higher equity risk premiums, and they are themselves willing to pay higher prices for stocks with positive hedging betas.     

高技术服务业与资源型产业融合对资源型企业两阶段创新效率的影响

基于新技术与新知识的高技术服务业跨界融合是传统企业实现创新资源优化配置、创新研发和商业转化的重要因素。因此，运用熵指数测度全国各省区高技术服务业与资源型产业融合水平，并利用2014—2017年资源型上市公司面板数据检验两大产业融合对资源型企业两阶段创新效率的影响，同时探讨企业吸收能力的调节作用。结果表明：现阶段高技术服务业和资源型产业融合程度不高，但发展态势良好，处于从失调走向协调的转变期；产业融合对资源型企业创新研发效率短期无显著影响，长期存在抑制作用，资源型企业技术能力刚性导致对新技术的排斥，且较大的产业间认知差距削弱了产业间良性互动带来的技术扩散效应；产业融合对创新转化效率呈先抑制、后促进效应，就长期而言，产业融合具有良好的创新转化推动力；资源型企业吸收能力分别在产业融合与滞后一期创新研发效率及滞后三期创新转化效率的关系中起正向、负向调节作用，表明资源型企业吸收能力构建尚不全面。     

水资源资产负债表编制主体及作用研究

从水资源资产负债表编制及水资源资产管理的需求出发,探讨了现行以区域为主体编制水资源资产负债表的局限。在此基础上,根据我国的水行政管理体制,从国家(水利工程管理部门、河道及流域)、区域、企业3个层面出发,系统探索多元水资源资产负债表编制主体,并从反映水资源资产开发与管理目标、揭示水资源资产供给与需求之间的关系、提升水资源资产化水平、决策区域未来产业规划及发展方向等方面分析不同主体编制水资源资产负债表的作用。该研究有利于进一步推动水资源资产负债表的编制工作,满足提升我国水资源资产化管理水平、完善国民经济核算体系、引入领导干部自然资源资产离任审计及生态文明建设的需求。     

家族企业代际传递促进了企业创新吗？ ——来自创业板市场的经验证据

摘要：家族企业代际传承究竟会给企业创新带来什么样影响是一个重要且仍具争议的话题。本文试图从人力资本视角，发掘家族企业二代接班者对企业创新行为的重要影响。结果显示：家族企业二代接班者更倾向于激励企业创新行为，这一激励不仅有利于促进企业加大内部研发投入而且还会通过资本运作来实现企业外延式创新，上述研究结论在削弱内生性问题又依旧保持稳健。本文的研究发现为家族企业代际传递与创新问题提供理论验证，对家族企业创新实践和人力资本管理具有一定的启示意义。     

自然资源资产全民所有权的实现逻辑及机制完善

研究目的：围绕新时代人民日益增长的美好生活需要，揭示自然资源资产全民所有权的实现逻辑，提出完善全民 所有权实现机制的建议。研究方法：归纳法，演绎法。研究结果：自然资源资产生态属性决定生态产品是自然资源资 产所有权实现的重要内容；全民所有权行使主体直接行使所有权意义上的资源资产管理权利，实现自然资源资产保值 增值；通过自然资源保护和市场交易实现生态产品供给及经济收益最大化，通过公益支出实现公共服务均等化，从而满 足人民日益增长的美好生活需要，构成自然资源资产全民所有权实现的基本逻辑。研究结论：自然资源资产全民所有 权实现，需在改善自然资源资产本底基础上，通过权利赋予、市场流转、收益分配和配套制度建设，为全体公众谋利益。     

不同融资约束情景下政府补助与企业成长——基于政府补助相关性分类视角

政府补助按照相关性分为收益性政府补助与资产性政府补助,在不同融资约束情景下,两类政府补助对企业成长影响存在差异,基于此,选取中小板上市企业2011-2017年样本数据进行实证分析。研究结果表明,收益性政府补助对企业短期成长具有促进作用,对企业的长期成长无显著影响；资产性政府补助对企业长期成长具有促进作用,对企业的短期成长无显著影响。随着融资约束程度逐渐提高,收益性政府补助与资产性政府补助对企业成长的促进作用逐渐减弱,融资约束对企业成长的抑制作用明显增强。     

焦点企业知识存量对联盟组合分裂断层的影响：知识转移效率的中介作用

运用断层理论，从知识获取和关系治理角度，分析焦点企业知识存量如何影响联盟组合分裂断层及分裂断层形成机理。基于焦点企业知识存量、分裂断层、知识转移效率、情景嵌入性之间的关系理论模型框架，认为焦点企业知识存量能够影响联盟组合分裂断层，其中，知识转移效率在这一过程中发挥中介效应，情景嵌入性发挥调节效应。结果发现：焦点企业知识存量与分裂断层之间存在显著负相关关系；知识转移效率能够部分中介焦点企业知识存量与分裂断层之间的关系；情景嵌入性能够正向调节焦点企业知识存量与知识转移效率之间的关系。