基于协整分析的住宅价格泡沫估算——以上海为例

本文利用单位根与协整检验，以上海为例，对住宅市场价格泡沫的特征进行讨论。与以往文献不同，本文除了检验泡沫的存在性之外，还对泡沫程度进行了估算。结果表明，上海住宅价格在2004年后产生泡沫，而且住宅价格持续高于基本价值。住宅价格泡沫程度在2007年前并不严重，而从2007年开始，泡沫急剧扩张而且呈现出周期性变动的趋势。从2009年下半年开始直到现在，泡沫处于扩张阶段。     

深圳股市理性泡沫及其行业板块分布特征分析

本文采用久期依赖检验方法对我国近年来深圳股票市场理性泡沫进行了实证检验.得出我国深圳股市总体存在理性泡沫的检验结果.在此基础上.进一步采用协整理论,对深圳股市各行业板块的泡沫分布特征进行深入分析,得出房地产、运输、制造三大行业是导致深圳股票市场产生理性泡沫的主要原因的结论.     

济南市房地产泡沫测度实证分析

随着济南市房地产价格的快速上涨,济南市房地产市场是否健康发展倍受关注。文章通过2002年～2009年济南市相关经济数据,选取指标分析法和计量模型法两种方法对济南市房地产泡沫存在与否进行实证分析,结果表明济南市房地产市场健康运行,并没有出现严重的泡沫现象,但是仍存在一些问题。     

我国股市泡沫现状及对策分析

股市泡沫是股票价格持续上涨导致其市场价格高于基础价值的经济现象.泡沫经济影响了国民经济的平衡运行,而且到了后期,泡沫的膨胀和破裂对经济发展的危害也是很大的.本文通过使用市盈率方法、动态自回归法、单位根方法检验了我国近两年来股票市场泡沫的水平与性质.检验结果表明我国股票市场存在泡沫.本文同时对股市泡沫产生的原因进行了分析,并提出了相关对策建议.     

基于理论价格法的广东省茂名市房地产泡沫研究

运用理论价格法从定量分析的角度对广东省茂名市房地产市场是否存在泡沫以及泡沫的程度进行研究。研究结果表明:茂名市房地产市场2008年基本无泡沫;2009—2011年这三年茂名市房地产市场存在泡沫,尤以2009年最为严重;2010年房地产市场过热;2011年泡沫程度有明显的上升的趋势。     

基于West模型的房地产泡沫的实证研究--以北京、上海、深圳为例

本文简要回顾了关于房地产泡沫的研究框架,在West模型的基础上,运用房地产合理价格是租金资本化的原理,对北京、上海和深圳的房地产市场是否存在泡沫作了实证检验.结果表明:北京住宅市场、上海住宅市场以及深圳写字楼市场在样本期内的检验结果拒绝原假设,即市场存在着泡沫现象;北京写字楼市场、上海写字楼市场和深圳住宅市场检验结果为接受原假设,即不能判断市场存在泡沫现象.本文提出了一些政策建议.     

沪深股市理性投机泡沫的实证分析

本文采用持续期限检验方法对我国沪深股市是否存在理性投机泡沫进行了实证检验，检验结果显示，在样本期内，沪深股市均具有理性投机泡沫特征，与深市相比，沪市理性投机泡沫现象更加显著。     

我国股市投机泡沫分析——基于非线性协调整关系的实证检验

近期研究表明投机泡沫具有周期性破灭特性,但传统检验方法无法针对我国股票市场的特点识别投机泡沫的这种特性,这会对股市泡沫的存在性造成误判.因此,本文引入MTAR模型,通过检验协整残差的非对称调整假设,对我国股票市场发展的不同阶段是否存在泡沫现象进行对比分析.结果表明,长期来看我国股票价格和其内在价值之间存在着均衡关系,但短期内对均衡的调整是非对称的,即存在周期性破灭的投机泡沫,且自2001年下半年以来这种泡沫成分正在逐渐减退.在此基础上进一步揭示了我国股票市场价格波动的深层原因.     

我国大中城市房地产泡沫研究

选取我国35个大中城市2009年和2010年的相关数据,运用主成分法进行实证分析,通过对这两年实证结果的比较发现,我国政府在2009年下半年和2010年出台的房地产调控政策作用显著,存在泡沫的城市明显减少,但泡沫消退的主要是中西部城市,东部发达城市泡沫依然存在.为此,政府应当进一步完善相关调控措施,并且重点针对东部发达城市制定相关调控政策.     

我国房地产市场的泡沫检验——基于现值模型

本文以35个大中城市指数为基础,利用现值模型对我国东中西部地区房地产市场泡沫的存在性进行了检验.检验结果表明,我国东部和西部地区存在明显的房地产泡沫,其中东部特别是长江三角洲地区的房价租金比涨幅最大.而中部地区除武汉之外的房价租金比一直较为平稳,几乎不存在泡沫现象.     

股市投机泡沫:理论模型、检验与度量方法研究

投机泡沫是导致泡沫经济并引发经济危机的重要根源,而不断扩大的股市泡沫则预示着泡沫经济的到来。投机泡沫的度量方法包括股价指数的上涨时间、上涨速度和换手率、股票市场的相对成长性估值类方法和Q比率方法。但是这些方法对经济发展及社会的经济环境不能全面地考虑。应构造建立在股票内在价值基础上的检验方法,运用相对估计指标对泡沫进行全面的度量,从而提高泡沫检验的准确度和对股票价值检验及预测的实际应用能力。     

Bubbles and rationality in bitcoin

Periodically collapsing rational bubbles model speculative demand in asset markets. The price and quantity of bitcoin are integrated of different orders, which is evidence of a bubble. Cointegration tests that allow for the potential presence of such bubbles with alternative proxies for fundamentals cannot reject a bubble in bitcoin.     

China's housing bubble burst?

In this paper, we developed the recursive unit root tests to identify the beginning and end of potential speculative bubbles in the Chinese housing price cycles during 2006–2013 for the 70 major cities of China. The method is best suited for a practical implementation with a time series and delivers a consistent date‐stamping strategy for the origination and termination of multiple bubbles. Simulations demonstrate that the test significantly improves discriminatory power and leads to distinct power gains when multiple bubbles occur. Overall, the results indicate that the speculative housing price bubbles in China are not bursting, and they indicate that the stationarity of the housing price level varies across the different city sizes. Between the cities, approximately one‐fourth of the bubbles have burst up to December 2013, while the first‐tier city bubble may not burst due to the urbanization process.     

Do speculative bubbles migrate in the Chinese stock market?

In this paper, a duration dependence test for speculative bubbles in the Chinese stock market is developed. It is found that bubbles in the aggregate stock price existed before the split share reform. After the reform, we observe the phenomenon of bubble migration across industries. In particular, bubbles migrate from the telecommunications industry to the health care industry. Moreover, we find that monetary policy used to have a significant impact on the bubble size before the reform but the impact diminished after the reform.

     

Speculative bubbles or market fundamentals? An investigation of US regional housing markets

This paper investigates the existence of speculative bubbles in the US national and 21 regional housing markets over three decades (1978–2015). A new method for real-time monitoring exuberance in housing markets is proposed. By taking changes in the macroeconomic conditions (such as interest rate, per-capita income, employment, and population growth) into consideration, the new method provides better control for housing market fundamentals and thereby it is expected to significantly reduce the chance of false positive identification. Compared with the method of Phillips et al. (2015a, 2015b), the new approach finds a dramatic reduction in the number of speculative housing markets and shorter bubble episodes in the US. It locates only one bubble episode in the early-to-mid 2000s over the whole sample period in the national housing market. At the regional level, it identifies two periods of speculation: late 1980s and early-to-mid 2000s. The early-to-mid 2000s bubble episode lasts longer and involves 16 metropolitan statistical areas.     

Asset bubbles,monetary policy and bank lending in Japan: an empirical investigation

Asset prices rose rapidly in Japan during the latter half of the 1980s, and then declined as quickly in the early 1990s. Their behaviour is consistent with the existence of speculative ‘bubbles’ in these markets. This paper investigates the dynamic relationships among stock and land prices in Japan, output, and monetary and bank lending variables. The results of causality tests and variance decompositions are reported for two time periods, 1972#1501985 and 1986#1501991. The price bubbles affected each other in the first period, although the size of this impact is dependent on the choice of variables in the VARs. In the bubble period, there is strong evidence that the stock market bubble was determined by its own past and also influenced the land market bubble, accounting for a significant proportion of the variance of the land market bubble. However, neither output, the money supply nor the lending variables were significant in the causality tests or in explaining the variation of the two assset bubbles.     

Irrational exuberance in the Chinese iron ore market?

The rapid run-ups in the Chinese iron ore market in the first half of 2016 have sparked much concern about the appearance of speculative bubbles in this market among many market analysts. Using a recently developed bubble testing procedure, we confirm that there indeed existed periods of irrational exuberance in the Chinese iron ore market. However, most of the bubble periods are short-lived, reflecting the market’s ability to quickly respond to price deviations unjustified by fundamentals. The longest bubble period occurred in mid-2014, corresponding to a period of relatively low trading volume. Using a fractional probit model, we find evidence consistent with the hypothesis that market liquidity may play a role in bubble occurrences.     

Housing markets,monetary policy,and the international co‐movement of housing bubbles

We analyze whether there was co‐movement in bubbles at the international level from the mid‐1990s to 2018 using a data set of developed and emerging economies. We first identify the markets that were more prone to volatility and speculation before the crisis. Second, we determine and compare the responses of bubbles in housing markets to monetary policy in a Bayesian time‐varying framework. We then study the co‐movement of bubble responses to monetary shocks before and after the crisis using a dynamic factor model. This approach allows us to disentangle a common global factor from factors specific to high/low speculative housing markets.     

关于全民炒股和股市泡沫的经济分析

近来媒体关于全民炒股特别是上班族炒股升温的报道,敲响了股市泡沫崩溃的警钟,而推动股市泡沫走向崩溃的,则是全民炒股热和上班族炒股风.中国股票市场的两大缺陷是中国股市动辄形成严重泡沫的重要原因,要彻底消除股市泡沫,必须改变股票供给严重不足和股票需求异常增大的局面,并严肃八小时工作纪律,杜绝全民炒股特别是上班炒股风.在股市钱空的程度日趋严重的形势下,对股市泡沫崩溃及其严重影响必须有清醒的认识,做好充分的准备.     

Growth-Enhancing Bubbles

This article challenges the conventional wisdom that speculation in financial markets reduces long-run growth. It shows that the real impact of a (rational deterministic) speculative bubble depends on the type of asset that is being speculated on. Speculative bubbles on equity raise the market value of firms, thus encouraging entrepreneurship, firm creation, investment, and growth. On the other hand, speculation on other types of assets is shown to be unambiguously growth-impairing. The model can explain some stylized facts about financial development and growth. Finally, regulatory implications are discussed briefly.