EXTREME VALUE THEORY IN FINANCE: A SURVEY

Extreme value theory is concerned with the study of the asymptotic distribution of extreme events, that is to say events which are rare in frequency and huge in magnitude with respect to the majority of observations. Statistical methods derived from it have been employed increasingly in finance, especially for risk measurement. This paper surveys some of those main applications, namely for testing different distributional assumptions for the data, for Value‐at‐Risk and Expected Shortfall calculations, for asset allocation under safety‐first type constraints, and for the study of contagion and dependence across markets under conditions of stress.     

Philanthropic giving of China’s hotel firms: The roles of state ownership,corporate misconduct and executive remuneration

This study utilizes value enhancement theory, agency cost theory and crisis management theory to scrutinize the philanthropic giving (PG) of China’s listed hotel companies from 2003 to 2018. The results of dynamic panel regression tests reveal that state ownership (company character), corporate misconduct (crisis management determinant) and executive remuneration (agency cost determinant) are influential factors in hotel firms’ PG, but none of the value enhancement determinants can explain PG. Specifically, state ownership is negatively correlated with PG, reflecting low PG in government dominated hotel firms in China. PG is negatively associated with executive remuneration, indicating that hotel managers care more about self-interest than social responsibility. PG is also positively related to corporate misconduct, suggesting that hotel firms use philanthropy to manage a crisis. Finally, the lagged PG has a positive effect on PG, implying that PG is intended to avoid damage to social image and reputation of China’s hotel firms.     

政治关系“力量”与民营企业价值研究:腐败的调节效应

从社会网络理论的强弱关系视角对2012-2014年福布斯中国富豪榜的企业家及其企业进行了政治关系的度量,检验了腐败是否会调节政治关系"力量"对企业价值的影响。研究发现,企业家本身所具有的政治关系对企业价值具有明显的正向影响作用,关系的"力量"越强,对企业价值的正向影响就越大;与此同时,腐败的出现会强化政治关系"力量"对民营企业价值的影响。通过分组验证发现,这种"力量"在腐败程度较高环境下更易对企业价值产生正向影响,但在腐败程度较低的环境中,政治关系对民营企业价值的影响很多时候并不显著。     

Value co-creation in sustainable tourism: A service-dominant logic approach

To mainstream sustainability, we need to understand the value gained from sustainability by users. We apply a user-centred design methodology to develop an agile, iterative, incremental and reflexive process to understand the sustainability value proposition for Lufthansa City Center travel agents. We analyse the failure of sustainability communications within the online platforms used by these agents and explore why the agents factor out sustainability information during the customer sales process. We identify how agents and customers understand sustainability, and we explore opportunities to co-create sustainability value. Furthermore, we prototype, and then test, methods of empowering travel agents to communicate sustainability to their customers as a value-adding proposition.     

互联网能力与知识能力交互效应对知识创造绩效的传导机制:一个被中介的调节效应模型

整合资源基础观、知识基础观和动态能力理论，探讨互联网背景下互联网能力、知识能力两种企业内部因素交互作用对知识创造绩效的影响过程，尤其关注了具有前瞻性与反应性特征的战略柔性在这一过程中的重要作用，从而构建了一个被中介的调节效应模型。基于我国399家企业调研数据发现，互联网能力、知识能力均对战略柔性有显著正向影响；互联网能力与知识能力的交互作用通过战略柔性的中介机制促进企业知识创造绩效提升，即存在被中介的调节效应。在理论上，丰富了资源基础观和知识基础观在组织竞争优势构建方面的前因研究，在实践上，为处于互联网背景下的企业有效提升知识创造绩效提供了实践参考。     

股权性质、环境不确定性与技术资本配置效率

技术转化为资本，资本创造价值已经成为共识，技术资本在不同公司创造价值的作用程度不同，根源是技术资本配置效率问题。选取沪深两市2008-2013年间制造业上市公司为样本，检验了基于不同股权性质的公司环境不确定性对企业技术资本配置效率和价值的影响，研究结果表明：①企业环境不确定性程度越高，技术资本配置效率越低，并且技术资本配置偏离度在国有公司中表现为配置过度，在非国有公司表现为配置不足；②在股权性质为国有的公司中，由环境不确定性引发的技术资本配置偏离将降低企业价值，在非国有控股公司中，由环境不确定性导致的技术资本配置偏离将增加企业价值。     

基于人力资本价值链理论的中国城市国际人才集聚研究

城市国际人才争夺战由来已久并不断升级，但针对中国城市国际人才集聚水平、影响因素和差异化政策供给的研究鲜见。以“国际人才集聚指数-国际人才集聚影响因素-国际人才集聚政策”为研究主线，以中国36个主要城市为研究对象，创新性地通过构建人力资本“投入-过程-产出”价值链理论模型进行实证研究，结果表明：中国城市国际人才集聚指数排名分为3个差异显著的层级。其中，第二和第三层级之间无较大差距，但与由北京、上海组成的第一层级相比大幅落后。中国城市国际人才集聚影响因素分化明显，第一类城市的主要影响因素为全球城市品牌文化；第二类城市为创新型经济发展；第三类为外资传统工商业企业和产业集聚。对应地，中国城市国际人才集聚政策供给围绕外资传统工商业国际人才集聚、高端生产性服务业国际人才集聚、多样性和包容性国际人才文化氛围营造存在三大差异化选择。首次构建人力资本“投入-过程-产出”价值链模型，为从机理上深入探索中国各类城市国际人才集聚模式及提升路径奠定了基础。     

Monitoring as a partially observable decision problem

Monitoring is an important and costly activity in resource management problems such as containing invasive species, protecting endangered species, preventing soil erosion, and regulating contracts for environmental services. Recent studies have viewed optimal monitoring as a Partially Observable Markov Decision Process (POMDP), which provides a framework for sequential decision making under stochastic resource dynamics and uncertainty about the resource state. We present an overview of the POMDP framework and its applications to resource monitoring. We discuss the concept of the information content provided by monitoring systems and illustrate how information content affects optimal monitoring strategies. Finally, we demonstrate how the timing of monitoring in relation to resource treatment and transition can have substantial effects on optimal monitoring strategies.