Home purchase restriction,real estate investment,and corporate innovation

It is ubiquitous for non-real estate firms to conduct real estate business in China. Home purchase restriction (HPR) affects corporate innovation by dampening the real estate investment of non-real estate firms. The extant literature has examined the impact of HPR on corporate innovation, but it has not focused on the expectation of HPR and the endogeneity problem. Employing a dataset of 1830 listed non-real estate firms over the period 2009–2016, this research explores the expectation of HPR on corporate innovation based on the motivations for real estate investment in non-real estate firms. We demonstrate that HPR facilitates the enhancement of research and development (R&D) investment in non-real estate listed firms by hindering real estate investment, particularly for non-high-tech firms. The effects of HPR arrive at the crest in the third implementation year and remain steady thereafter. The real estate investment of non-real estate firms rebounds and the R&D investment declines along with the cancellation of HPR. Tackling the selection bias and endogeneity problems, the baseline results are also robust. Hence, HPR should serve as a long-term vehicle to improving corporate innovation, in addition to preventing housing speculation.     

Fairness perception of ancillary fees: Industry differences and communication strategies

This study examines fairness perception of ancillary fees across different industries, and ways to communicate ancillary fees in a way that reduces customers' feeling that they are being unfairly treated. Through surveys and consumer experiments, we show that consumers’ perception of fairness decreases as the level of ancillary fees increases, with differences across industries. Also, when the customer is given a cue that the ancillary fees are necessary for low base prices, fairness perception increases, explained by the “dual entitlement” concept. Another effective communication strategy is early disclosure, as opposed to late disclosure which decreases fairness perception and willingness to recommend.     

The effect of specific discount pattern in terms of price promotions on perceived price attractiveness and purchase intention: An experimental research

This study aims to investigate consumer perceptions and reactions in terms of specific discount patterns (fixed price, 40% discount, discount from 500 TL to 300 TL and 20% + 25% discount) in price promotion. According to the results, specific discount patterns in price promotion have a significant effect on perceived price attractiveness and purchase intention. When the specific discount patterns in price promotion and gender interaction were analyzed in terms of perceived price attractiveness, the scenario of the “discount from TL 500 to TL 300” significantly differentiated from both the control scenario (fixed price) and experimental scenarios for female. For males, no significant difference was found between the control and experimental scenarios. In terms of purchase intention, a significant difference was found between the fixed price scenario and the discount scenario from 500 TL to 300 TL and between the fixed price and 20% + 25% discount scenario. The theoretical managerial implications of the study were discussed, and future research suggestions were presented.     

Price competition between green and non green products under corporate social responsible firm

This article deals with a newsvendor inventory model in light of green product marketing of corporate social responsible firms. In this model, comparison between green and non green marketing is analyzed including subsidy and tax implementation by Government where the Government offers higher subsidy and lower tax to the green producer unlike the lower subsidy and higher tax to the non green producer. There is also price contest between green and non green producer as the demands of the products are dependent on sales price, carbon emission and corporate social responsibility index. Assuming the cost and profit parameters, an expected profit function of the systems is formulated and maximized analytically. Finally, numerical examples are illustrated to justify the proposed model.     

Destabilizing role of futures markets on North American hard red spring wheat spot prices

The objective of the paper is to determine if the futures prices of hard red spring wheat (HRSW) have stabilizing or destabilizing impact on spot HRSW price in North America. Several important results emerge from thorough empirical analysis. First, both Granger causality tests and directed acyclic graph algorithms (DAGs) point to two-way causality between futures and spot HRSW prices and thus endogeneity in both prices formation. To the contrary, both procedures suggest that ending stocks are exogenous to spot and futures HRSW prices. Both vector error correction model and impulse response functions point to a large and long-lasting impact of a shock to futures price on spot price level. Finally, variance decomposition analysis indicates that futures prices are responsible for the bulk of spot price volatility in both short and long run. Our result is consistent with those of theoretical models suggesting that when production (supply side) is the dominant disturbance, spot price is destabilized in both the short and the long run by futures prices. An important implication of this research is the need for alternative market mechanisms or alternative farm policy measures that would mitigate price risk and ensure sustainable farming of American HRSW farmers.     

Information,market power,and price volatility

We consider demand function competition with a finite number of agents and private information. We show that any degree of market power can arise in the unique equilibrium under an information structure that is arbitrarily close to complete information. Regardless of the number of agents and the correlation of payoff shocks, market power may be arbitrarily close to zero (the competitive outcome) or arbitrarily large (so there is no trade). By contrast, price volatility is always lower than the variance of the aggregate shock across all information structures. Alternative trading mechanisms lead to very distinct bounds as a comparison with Cournot competition establishes.     

Modelling the iron ore price index: A new perspective from a hybrid data reconstructed EEMD-GORU model

As iron ore is the fundamental steel production resource, predicting its price is strategically important for risk management at related enterprises and projects. Based on a signal decomposition technology and an artificial neural network, this paper proposes a hybrid EEMD-GORU model and a novel data reconstruction method to explore the price risk and fluctuation correlations between China’s iron ore futures and spot markets, and to forecast the price index series of China’s and international iron ore spot markets from the futures market. The analysis found that the iron ore futures market in China better reflected the price fluctuations and risk factors in the imported and international iron ore spot markets. However, the forward price in China’s iron ore futures market was unable to adequately reflect the changes in the domestic iron ore market, and was therefore unable to fully disseminate domestic iron ore market information. The proposed model was found to provide better market risk perceptions and predictions through its combinations of the different volatility information in futures and spot markets. The results are valuable references for the early-warning and management of the related enterprise project risks.     

The price discovery role of day traders in futures market: Evidence from different types of day traders

Using proprietary account-level transaction data in the futures market where day traders are self-declared ex ante, this study investigates whether day traders enhance price discovery at the market level. From a natural classification of day traders, we find that heterogeneous day traders have differential effects on price discovery. Self-declared day traders, who benefit from low margin requirement, do not improve price discovery measured by information share. In contrast, non-declared traders, who are not self-declared as day traders, improve price discovery. Their positive impacts on price discovery are particularly significant during periods of high volatility and arrival of new information. Overall, a margin stimulating policy may encourage more day trading, but may also attract overconfident investors, especially inexperienced ones, and who do not enhance price discovery.     

高房价是否导致了区域高技能人力资本流出?

我国正处于由人口大国向人力资本强国转型的关键阶段,高技能人才资源已成为当今区域经济社会发展的第一资源;与此同时,我国已经历了一段房价全面上涨的时期,由房价高速上涨所导致的人才流出问题引起政府与公众的广泛关注。在此背景下,本文通过对大学生就业地选择的关注,考察了高房价对地区高技能人力资本流出的影响。本文的结果稳健地表明,高房价显著地提高了大学毕业生离开本地就业的概率;根据本文的估计,在2010年至2015年期间,房价的上升至少增加了区域高技能人才流出21.5%;特别地,房价的挤出作用对于较弱家庭背景的学生以及非一线城市更为严重,此外,高房价也影响了大学毕业生的职业选择。本文的研究结果指出了中国高房价可能影响长期经济社会发展的一个新的重要渠道;同时,通过对房价的关注,为地区与国家减少高技能人才流出,实现经济发展由要素驱动向创新驱动转变提供了新的启示。     

信息不对称、过度自信与股价变动

信息传导的非同步和投资者情绪变化是股票市场的两个典型特征,前者会引发投资者之间出现信息不对称问题,后者主要体现为投资者过度自信,两者共同作用影响股票价格变动。本文将信息不对称和投资者过度自信情绪置于同一个分析框架,建立两阶段动态序贯定价理论模型研究现实市场上信息传导过程中股价变动的内在机制。结果表明:(1)面临新信息的进入,投资者对股票收益预期的调整与均衡价格之间具有正相关关系;(2)面临有利消息时,过度自信投资者比例越大,股票的均衡价格越高,投资收益将越低;面临不利消息时则相反;(3)随着过度自信投资者比例以及过度自信程度升高,市场风险溢价将下降;(4)投资者群体在信息传导过程中出现分化,对股价变动形成异质信念,未获取信息和获取信息但未出现过度自信的投资者认为股价被高估,获取信息且出现过度自信的投资者认为价格被低估,促使更多的交易,引发市场成交量和股价变动;(5)过度自信投资者比例与过度自信程度提高均会对市场效率产生正向影响,而对市场深度具有负向效应。最后,基于理论结果对非对称性和持续性等典型的市场波动性特征进行解释。