楼市价格回落

鉴于全球经济周期回落,以及中国通胀压力加大而持续货币紧缩,市场对房地产价格下跌已经形成共识。     

浅析我国房地产价格的影响因素

作为国民经济的重要组成部分,房地产发展的稳定性关系对国民经济产生非常大的影响。房地产的过度开发引起房产投资置业需求的絮乱,导致房地产价格的持续快速上涨,一旦市场泡沫破灭,将给国民经济带来极大的负面影响。本文将对我国房地产价格影响因素进行分析,探求房地产价格影响因素的控制方法,以稳定房地产的价格。     

浅析我国房地产价格的影响因素

作为国民经济的重要组成部分,房地产发展的稳定性关系对国民经济产生非常大的影响.房地产的过度开发引起房产投资置业需求的絮乱,导致房地产价格的持续快速上涨,一旦市场泡沫破灭,将给国民经济带来极大的负面影响.本文将对我国房地产价格影响因素进行分析,探求房地产价格影响因素的控制方法,以稳定房地产的价格.     

楼市调控要严厉打击炒房

经不住楼市回暖的压力,房地产调控又一次重拳来袭。此次调控出台的一系列政策可谓在意料之中,先前山雨欲来风满楼的态势总算能应声而降。如今新政策轮番登陆市场,     

佛山式试探效应逆转楼市调控

2011年10月11日,佛山市出台名为《关于进一步加强我市房地产市场调控有关问题的通知》的楼市调控新政,规定从10月12日起放宽限购。     

楼市观察——从金融视角看房地产市场

过去的十年是中国房地产行业沧桑巨变的十年。这期间,中国房地产市场快速发展,甚至是过热发展．高房价和房地产市场调控已成为广大市民百姓关注的焦点。市面上．关于房地产的著述早已充斥于市．     

房价7个月暴涨94％呼唤楼市价格监管

继2006～2007年的那、一轮房地产泡沫之后,当前国内一些大城市的房地产市场,又以令人瞠目结舌的房价新高,制造了更为可观的资本泡沫。如今,深圳又成为新一轮泡沫的领跑者。今年9月,深圳新房成交均价达到创纪录的20940元／平方米,较深圳官方公布的2月份10770元／平方米的低点,上涨94％,7个月内房价几近翻番。上海、南宁、长春等一些大中城市不甘落后,房价同样创出新高。     

楼市:自住不看市 投资须谨慎

号称史上最为严厉的楼市调控并没有遏制住房价的飙涨势头,用辛弃疾的名句来形容2010年的楼市可谓比较贴切,青山遮不住,毕竟东流去,大多数民众也从满怀希望转变为无奈失语。中国楼市到底怎么了,2011年是否应该买房?     

楼市调控政策下中小房地产企业财务风险研究

在我国社会主义经济的推动下,房地产市场迅速的崛起并得到了不断的发展,"房地产热"已经出现在了全国的范围内.但是,在其发展的过程中还存在着诸多的问题,只有将这些问题进行有效的解决,我国房地产企业才能够有更好的发展前景.     

金融引领中国楼市未来

11月1日,“2013全球房地产金融中国峰会暨第二届金砖价值排行榜发布盛典”,再次在上海陆家嘴的丽思卡尔顿大酒店盛大举行。在本次盛会中,一系列中国房地产及其金融领域,史上规模最大、规格最高、覆盖最全、评选最严的金砖价值榜榜单被发布,必将对中国的房地产及其金融行业产生积极而深远的影响。     

Spectral analysis of stock market prices

The purpose of this article is to apply spectral analysis to six European Stock markets (Germany, France, Italy, The Netherlands, Belgium and the United Kingdom) and the New York Stock Exchange, over the period 1969–1976. For neither series do the estimates suggest deviations from randomness. However, a simple filter rule shows that substantial profits could have been made by a trader in the six European markets. This demonstrates that for testing market efficiency, spectral analysis is far from the best and the conclusion tends to support the hypothesis of ‘white-noise’ in imperfect markets. Cospectral analysis shows the lead and lag relations between the various stock markets under study.     

The impact of auctions on residential property prices

This study assesses whether the sale method in residential real estate markets – auction versus private treaty – is a determinant of sale price. Utilising a larger and richer dataset than previous research, we test for a price effect in auction sales in Sydney and Christchurch. When self‐selection biases are corrected for, using two‐stage hedonic regression analysis and a matched sampling procedure, we find no significant difference between prices of properties sold at auction to those sold by private treaty. This conflicts with the conclusions of previous research in the Australian and New Zealand housing markets, which have documented a price premium associated with auction sales.     

Bank lending and property prices in Hong Kong

This paper studies the relationship between residential property prices and bank lending in Hong Kong. This is an interesting topic for three reasons. First, swings in property prices have been extremely large and frequent in Hong Kong. Second, under the currency board regime, monetary policy cannot be used to guard against asset price swings. Third, despite the collapse in property prices since 1998, the banking sector remains sound. While the contemporaneous correlation between lending and property prices is large, our results suggest that the direction of influence goes from property prices to bank credit rather than conversely.     

IPO activity and information in secondary market prices

This paper explores the link between IPO underpricing and financial markets. In my model the IPO is a mean for a capital constrained initial investor to exit and thereby to raise funds for a new investment opportunity. This investor is privately informed vis-a-vis outside investors about the profitability of the new opportunity and the quality of the firm to be offered in the IPO. He can then use the offer price and the fraction of shares sold as signals of his private information. The model shows that underpricing is not only linked to firm’s characteristics, i.e. firm value, but to elements external to the firm, i.e. new investment profitability and financial markets characteristics. In particular higher market efficiency reduces the cost of listing. This results in lower underpricing and the listing of more valuable firm. Similarly, a higher lower bound of the new investment’s profitability reduces the information asymmetry and hence reduces underpricing and widens the range of firms listed.     

Fund Volatility Index using equity market state prices

The Fund Volatility Index (FVX) is proposed as a forward measure of volatility with applications in fund hedging and risk management. The method applies equity market state prices to individual fund pay‐offs. FVX is validated as a predictor of short‐term realised volatility for 30 exchange traded funds. Performance of the method is compared with existing methods using a data set of 14 925 non‐traded funds. FVX has lower bias and higher forecast accuracy than existing methods. As a more general measure, it allows for incorporation of terms to capture individual fund skewness and projection of higher moments of returns.     

Perks and the informativeness of stock prices in the Chinese market

While the literature shows that perks can affect firm values positively or negatively, we argue that firms with higher perks are more likely to be associated with a lower quality of financial reporting, which, in turn, can affect the informativeness of stock prices. Based on hand-collected data on perks from Chinese listed firms, we find that firms with lower perks are associated with higher informativeness of stock prices (or lower R-square). Moreover, the positive association between perks and R-square is shown to be weaker for firms with higher financial reporting quality through audit and earnings quality measures.