Effects of investor tax heterogeneity on stock prices and trading behaviour around the ex-dividend day: the case of Australia

Using a sample of Australian stocks during the 1996–2014 period, this study examines how tax heterogeneity between domestic and foreign investors affects trading behaviour and stock prices around the ex-dividend day. Domestic investors prefer dividends and tend to buy stocks cum-dividend and sell them ex-dividend whereas foreign investors tend to trade in the opposite direction. Abnormal trading turnover increases with tax heterogeneity. Moreover, stocks with a larger domestic investor base are associated with a higher price drop-off ratio on the ex-dividend day and higher market value of franking credits. Overall, our findings support the dynamic dividend clientele hypothesis.     

Impact of electronic road pricing on real estate prices in Singapore

Since 1998, Singapore has had an Electronic Road Pricing (ERP) system set up with a network of toll gantries to tax vehicles entering designated areas in the city center during peak hours. Using the congestion rate hike with effect from November 1, 2010 as an exogenous shock, we test the effects of the ERP rate hike on retail, office and residential real estate prices. The results show that the November 2010 congestion toll rate increases cause a 19% drop in retail real estate prices within the cordon ERP areas relative to retail real estate prices outside the cordon ERP areas. The results are statistically and economically significant. However, the toll rate hike has no significant impact private office and residential real estate within cordoned ERP areas. The robustness and falsification tests could not reject the negative effects associated with the toll rate hike on retail real estate prices.     

Risk averse retail pricing with robust demand forecasting

Good demand estimates are the key to effective pricing decision-making. However, they are subject to a high degree of uncertainty due to various factors that are unpredictable or difficult to model, thus making pricing decisions risky. This research provides a simple proposal for a robust optimization methodology that incorporates both demand uncertainty and the decision maker's degree of risk aversion. Uncertainty is explicitly considered for two coefficients of a linear demand function, price expressions are derived, and a criterion is proposed for defining the degree of risk aversion. The resulting model is also applied to an exponential demand case to better reflect a more realistic retail setting.     

递增阶梯定价:一个综述

作为较独特的非线性定价,递增阶梯定价使消费者预算凸边界非光滑,进而导致某些消费者消费决策异度集中而难以甄别。此特征致使递增阶梯定价机制的理论和实证研究非常复杂。鉴于公共资源的特殊性,公共资源定价需要合理地兼顾效率、社会公正和成本完全补偿原则。在多元化目标角度上,本文初步验证了递增阶梯定价机制的最优性,虽然此最优性受制于接入率和特征信息等假定。递增阶梯定价下的需求设定趋于统一但估计方法却趋于复杂化和多样化。关于递增阶梯定价下的(价格和收入)需求效应明显与否的问题存在完全相反的结果,实证研究和理论对其不一致性给出多种解释和探讨。这种差异性可能由于消费者对价格、价格设计者对家庭特征等信息不完全,还可能因为各实证分析结果中的时间、市场或产品特征维度含义差异所致。基于多元化目标和资源特性的递增阶梯定价机制的设计和执行问题,将成为递增阶梯定价理论研究发展的一大方向。     

Uniform or spatially differentiated? Pricing Strategies for Information Goods under simultaneous and sequential decision-making in multi-market context

Product pricing has been one of the central issues in the field of marketing and consumer services for managers and researchers alike. However, pricing of information goods has not been paid much attention in literature. For information goods the marginal costs of production and transportation of information goods (online movies, video games, etc.) is almost zero. Hence, the pricing decisions need to be thought of purely in competitive profit maximizing terms. This paper proposes mechanisms for managers to evaluate and base their pricing decisions on rational frameworks that takes into account various situations when they enter a new market and when they are incumbent in a new market. This paper addresses the research gap of spatially differentiated pricing strategy for information goods that has not been studied in literature so far. We create stylized theoretical models under both, sequential and simultaneous decision-making conditions. We determine the equilibrium price and the equilibrium profit for the two firms for each of the four possible scenarios based on their pricing strategies. Our analysis reveals that the dominance of one pricing strategy over the other depends on product differentiation factor capturing joint effect of the product substitutability and consumer's price sensitivity under sequential decision making and the market size along with consumer's price sensitivity for simultaneous decision making. As an extension, we propose a generalized model demonstrating the uniform and spatially differentiated pricing strategies of the firms under simultaneous and sequential selection for multiple domestic and international markets.     

限售股权定价的实证检验

我国上市公司的非流通股权实质为限售股权,股权分置改革改变了限售期的不确定性.通过对2004～2006年5月间326笔我国上市公司限售股权转让信息的研究发现:限售股股东向流通股股东支付对价是有理论和实证依据的,股权分置改革有利于国有资产保值增值.公司净资产、控制权收益以及公司流通股比例与限售股定价正相关.流动性约束与限售股定价负相关.受让方为非国有性质时,限售股转让相对价较低.股权转让方式、公司盈利能力等财务指标对限售股定价有一定影响.     

IPO限价发行与新股二级市场价格泡沫——论股票市场“弹簧效应”

本文通过对比2009年7月1日至2014年6月30日IPO市场化定价发行阶段与2014年7月1日至2018年6月30日IPO限价发行阶段共1950个IPO样本,发现IPO限价发行对于新股在二级市场股价表现具有“弹簧效应”:即抑制股票一级市场发行价格会造成新股在二级市场价格短期内超涨,限价发行新股的二级市场定价显著高于市场化定价发行新股的二级市场定价。限价发行引起的过高二级市场定价最终导致股票长期回报率低下。另外,创业板公司“弹簧效应”显著强于主板公司。这些实证结果都可以被本文提出的一级市场价格压抑造成二级市场非理性投资者上涨预期一致、盲目追涨的理论模型所解释。本文的研究指出抑制股票一级市场定价虽然形式上可以解决新股发行价过高问题,但是却造成二级市场更大的价格扭曲。这一发现为进一步完善我国IPO发行定价机制提供了依据。     

活跃因子和杠杆因子表现分析——基于A股市场的多因子资产定价研究

多因子资产定价理论是继CAPM理论之后的重大创新,也是时下资本资产定价研究领域的最新成果。本文搜集整理多因子资产定价理论的相关文献,分析梳理其发展脉络。通过理论探究,引入以市值增长率为代理变量的活跃因子和以资产负债率来衡量的杠杆因子。基于我国A股市场进行Fama-MacBeth横截面和时间序列的回归检验,发现加入活跃因子和杠杆因子后的八因子模型解释能力可以得到进一步的增强,其中活跃因子的表现显著,而杠杆因子对股票超额收益解释能力相对较弱,但仍强于六因子模型中的风格因子。     

房地产投资决策中实物期权方法的应用

传统的净现值投资决策方法将不确定性视为一种损失,忽略了项目投资的灵活性和战略性,往往造成项目价值的低估,而实物期权弥补了NPV法的不足。本文将实物期权方法}J入房地产投资决策中,对比分析了传统净现值法的一些不足,介绍了实物期权的基本理论,并采用了B-S期权定价模型对房地产投资决策过程中蕴含的迟延期权进行了案例分析。     

基于复合实物期权的公司流动性定价研究

公司流动性是指公司或企业持有的流动性资产,它除了账面价值外,还含有某种潜在价值。对公司流动性价值进行科学的评估,对于投资者、公司管理者等各方都非常重要。采用实物期权理论对公司流动性进行定价。是目前公司金融理论的前沿课题。这方面的研究不但可以打开对公司流动性认知的新视野,还可以促使我们通过了解公司持有的流动性所蕴含的价值,进而对整个公司价值进行真正正确的评估。本文首次揭示了公司流动性的复合实物期权性质,并用复合实物期权二叉树模型进行了公司流动性定价的尝试,为公司财务管理决策提供了一种量化的工具。通过使用复合实物期权模型,我们得到了公司流动性复合期权的价值,这个价值不但大于流动性持有的机会成本和其最初时刻的静态价值,同样也比常用的NPV法算出的项目价值大。多出来的价值就是考虑了流动性复合期权的结果。