开放条件下国际资产定价模型的解析与检验

随着经济全球化的不断深入，国际资本市场的一体化程度也在不断加强，敌对国际资产定价问题的探讨显得颇为重要。尤其对开放条件下的国际资产定价理论与实证研究进行系统的梳理与分类，并对该领域现有研究中存在的问题提出未来研究的方向，更有学术价值。     

基于广义虚拟经济视角下的中国居民消费与房价关系研究

根据居民消费理论,一般而言财富增加会促进消费,国外大量经验研究已证实了房价对消费存在正向的作用。但对于中国而言,房价上涨(财富增加)似乎并没有带动消费的增加?这是什么原因呢?我们认为房价上涨不仅有财富效应,也有与之相对应的替代效应(或称为挤出效应),这是因为短期内房价上涨使得人们购房支出增加而挤出日常消费。另一方面,基于广义虚拟经济视角的消费者心理分析也能更好地解释这一现象。本文利用1999-2010年我国的省际面板数据进行估计后发现,在我国,房价上涨会对消费的变动产生显著的负影响。对此,本文认为,这主要是由于替代效应造成的,同时中国以家庭为观念的社会结构也使得人们宁愿挤出日常消费也要承受"房奴"的生活。     

油价冲击、货币政策调整与产出波动——基于中国的经验证据

本文基于我国2001-2010年宏观经济月度数据,采用SVAR模型分析了国际油价波动时,央行货币政策在排除回应油价干扰与未排除干扰下的反应差异及油价波动对产出的影响。研究发现,在排除货币政策回应油价波动干扰后,通过脉冲响应函数反映的油价波动对产出的短期负面影响消失。方差分解结果显示,长期内产出波动由油价冲击和货币政策解释的比例分别为5716%和32480%,比排除干扰前分别下降了2569%和4560%。这说明我国油价冲击带来的经济衰退主要是因为货币政策及其回应油价冲击紧缩所致。此外,面对油价的短期冲击,CPI指数并未随着生产者购进价格指数上升而上升,产出也未发生明显的衰减;但在较长时间内,油价上升会因为相对价格的改变,而影响CPI水平和货币政策,从而对产出产生显著的负面影响。     

由临街地价推算区片价的方法探讨

如何利用临街样点地价推算区片平均地价及基准地价始终是城镇基准地价评估的一个难点。文章利用赤峰市的实际调查数据,分别采用临街贡献率和面积加权两种方法推算区片平均地价,并采用回归分析方法探讨区片价与临街地价之间的关系,结果证明两种方法所推算的区片平均价是基本一致的,而且区片价与临街地价之间呈“反S”曲线关系。     

International Comparisons of Australia's Infrastructure Performance

International benchmarking has played a key role in the reform of Australia's infrastructure industries by promoting indirect or yardstick competition, in highlighting the need for further reform and building a consensus for implementing necessary changes. The international benchmarking of infrastructure performance by the Bureau of Industry Economics (BIE) between 1991 and 1996 did much to focus attention on the need for change. The BIE examined the performance of eight infrastructure industries relative to international best practice: electricity, rail freight, telecommunications, the waterfront, road freight, coastal shipping, aviation and gas supply. Performance comparisons concentrated on indicators of price, service quality, labour productivity and capital productivity. This paper reviews and summarises the performance comparisons the BIE undertook over the last three years of its infrastructure benchmarking program. The BIE international benchmarking program provides a useful role model for other countries wanting to seriously pursue reform of their infrastructure industries.     

银行风险偏好对企业发展影响的实证研究

从行业层面和企业层面实证研究了银行信贷选择对行业和企业发展的影响。结果发现:在行业层面,银行偏好于固定资产比率较高的行业,因此在信贷资源较为紧张的地区,固定资产比率较高的行业会发展得较好,可见长期内银行选择会影响一个地区的产业结构;在公司层面,银行偏好于行业中固定资产比率较高的企业,而企业为了获得信贷资源也会调整其发展策略,倾向于积累固定资产。指出:中国应该大力发展非银行融资渠道,减弱金融系统对经济发展的扭曲。     

Forecasting house prices using dynamic model averaging approach: Evidence from China

Forecasting house price has been of great interests for macroeconomists, policy makers and investors in recent years. To improve the forecasting accuracy, this paper introduces a dynamic model averaging (DMA) method to forecast the growth rate of house prices in 30 major Chinese cities. The advantage of DMA is that this method allows both the sets of predictors (forecasting models) as well as their coefficients to change over time. Both recursive and rolling forecasting modes are applied to compare the performance of DMA with other traditional forecasting models. Furthermore, a model confidence set (MCS) test is used to statistically evaluate the forecasting efficiency of different models. The empirical results reveal that DMA generally outperforms other models, such as Bayesian model averaging (BMA), information-theoretic model averaging (ITMA) and equal-weighted averaging (EW), in both recursive and rolling forecasting modes. In addition, in recent years it is found that the Google search index, instead of fundamental macroeconomic or monetary indicators, has developed greater predictive power for house price in China.     

Price convergence in US cities: a cointegration approach with two structural breaks

This article investigates how the price indices of major cities of the US respond to the shock from a city and from monetary policy. We find that the crisis of Bretton Woods system in 1968 and the oil crisis in 1974 should be incorporated as structural breaks in monetary policy variables and price indices. Using cointegration technique with structural break in our aggregated data, we find that the average half-life is 1.75 years, which is closer to what some of others found in disaggregated data, and that the interest rate is an effective tool for controlling cities’ price in short run.     

The elasticity of demand for wagering in an unregulated market

The literature estimating the take-out rate (price) elasticity of horse race wagering has consistently found values far above one. The persistence of these apparently inefficiently high prices can be attributed to institutional factors of the US market where federal taxes are imposed on the total amount wagered, and not on the bookmakers’ revenue. By investigating all horse races in New Zealand from August 1993 to April 2009, our article is the first one to consider price setting for wagering in an unregulated market where taxes for a monopolistic betting agency are based on revenues. In such a setting, one would expect elasticities close to one, but in all econometric specifications, we find values well below one. We identify two reasons why higher prices could nevertheless reduce profits: cross price elasticities are negative and, due to the specific features of parimutuel betting, international competitors may only be attracted when take-out rates are above a critical threshold.     

Oil price forecasting under asymmetric loss

Based on the approach developed by Elliott et al. (2005), we found that the loss function of a sample of oil price forecasters is asymmetric in the forecast error. Our findings indicate that the loss oil price forecasters incurred when their forecasts exceeded the price of oil tended to be larger than the loss they incurred when their forecast fell short of the price of oil. Accounting for the asymmetry of the loss function does not necessarily make forecasts look rational.