Non-linear causality between the stock and real estate markets of Western European countries: Evidence from rank tests

Using the non-parametric rank tests proposed by Breitung (2001), we set out in this study to determine whether any non-linear long-run equilibrium relationship exists between the stock and real estate markets of Western European countries. We go on to adopt the threshold error-correction model (TECM) to determine whether a similar relationship is discernible possibly non-linear functions of the log-price of these two markets. The findings clearly point to the existence of long-run unidirectional and bidirectional causality between the real estate market and the stock market in regions both above and below the threshold level. Finally, we find the existence of both wealth and credit price effects in the real estate markets and stock markets of Western European countries, which thereby offer financial institutions and individual investors in their construction of long-term investment portfolios within these two asset markets.     

Feedback effects between credit ratings and financial markets

Credit rating agencies often make sharp adjustments in their pronouncements during times of stress in financial markets. These adjustments typically happen with a delay relative to shocks in market prices. Since prices convey information about what market participants are doing and thinking, it is likely that rating agencies take into account market prices when issuing their pronouncements.In order to understand the relationship between credit ratings and financial prices, we develop a model of debt roll-over in which rating agencies incorporate information publicly available in financial markets. We find that (1) rating agencies respond to market prices, i.e. nonfundamental price volatility can shift financing conditions from a low risk spread and high credit rating equilibrium to an equilibrium with high spread and low rating, and (2) rating agencies can anchor expectations about the equilibrium in financial markets, thus serving as an antidote to nonfundamental price volatility.     

Price and volatility dynamics between securitized real estate spot and futures markets

This study is among the first to examine the price, volatility and covariance dynamics between securitized real estate spot and futures markets. It provides a distinctive and yet complementary perspective on the predictability of real estate spot return and spot volatility based on the information from the spot market alone. The results show that for the EPRA/NAREIT Europe index, the spot market tends to lead its futures market in the long run during the sample period, which can be attributed to a rather illiquid real estate futures market in sharp contrast with a voluminous spot market. Furthermore, we find the V-shaped asymmetric effect of the basis on the futures market volatility, which represents the primary channel of strong volatility transmission between securitized real estate spot and futures markets during the whole sample and the post-crisis period. This sheds light on the hedging effectiveness for the REIT index.     

How integrated are real estate markets with the world market? Evidence from case-wise bootstrap analysis

We investigate the extent by which real estate markets are integrated with the world market. We apply a case-wise bootstrap analysis — a method that is robust to non-normality and increased volatility that characterises financial markets, especially during periods of distress. We also take into account the effect of the global financial crisis. Our investigation is conducted in relation to five most important and highly internationalised real estate markets, namely, the US, UK, Japan, Australia and the United Arab Emirates (UAE). We find that the first four markets are integrated with the world market — with Japan, the US, and the UK being the most integrated, but the last one is not. Our results also show that the US real estate market crisis affected the five markets differently. It made the UAE, Australia and the US real estate markets more integrated internationally but resulted in the Japanese market becoming less globally integrated. In the case of the UK, the crisis did not affect at all its level of integration with the world market.     

Markets contagion during financial crisis: A regime-switching approach

Within a Markov regime-switching VAR framework, we investigate the contagion effects among the stock market, real estate market, credit default market, and energy market covering the most recent financial crisis period when markets experience regime shifts. The results demonstrate that the watershed of regimes occurs around the start of the subprime crisis in 2007, after which the “risky” regime dominates the evolution of market chaos. During the financial crisis, excluding their own shocks, stock market shock and oil price shock are the main driving forces behind the credit default market and stock market variations, respectively. The energy market also appears to be more responsive to the stock market movements than the shocks originating from housing and credit markets. However, the impacts from the credit default market on the real estate market are not significant as expected.     

Regime dependent volatilities and correlation in international securitized real estate markets

This paper studies the role of regime shifts and time-varying volatilities in market integration in a Markov-switching volatility regime environment among the US, European and Asian developed securitized real estate markets. With a two-state volatility model, the study finds the co-dependence, co-movement and synchronization of volatility regime at the high volatility state are stronger between the US and European securitized real estate markets. Although correlations among the markets are higher in a high volatility regime than in a low volatility regime, there is limited evidence of contagious effects during the high volatility periods between some markets. Moreover, the unsecuritized real estate markets are different from their securitized equivalent in the volatility regime characteristics, correlation pattern and level, as well as the extent of correlation change and contagion effect in high volatility state. Thus, the regime-switching results from stock markets may not be automatically extended to the corresponding public real estate markets, and requires rigorous empirical scrutiny.     

Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence,information transmission and market co-movement

This paper examines the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015–2016) for the first time. Employing the Bayesian VAR and BEKK GARCH, we observe that price and volatility spillover behaviours are different during the stable and stress periods. Particularly, price spillovers from China to other regional markets are more significant during a bullish period, showing that ‘good news’ emanating from China has strong impacts on its neighbours during better market condition. In the turbulent period, we observe strong shock spillover effects and enhanced volatility spillovers from China to most Asia-Pacific stock markets. This is because China, as an important trading partner and strategic financial centre shows to exert significant influence on the Asia-Pacific region through various economic channels. We also find that the Asia-Pacific stock markets spill over their shocks to China during the crisis, indicating that China is becoming more integrated with the regional financial markets.     

商业银行信贷配给对中国房地产业波动的影响*

商业银行信贷配给控制中国房地产业信贷规模和结构,造成供给和需求的规模与结构扭曲,影响货币政策和财政政策的调控效果,容易引起房地产业波动。本文通过构建信贷配给模型,测算不同波动时期当中,商业银行信贷配给程度的变化趋势,以及对房地产业的影响。实证结果显示,信贷配给程度的变化与房地产业波动显著相关,信贷配给改变了投资和消费在推动房地产产出过程中的结构,并制约路径依赖对产出的影响,同时影响财政政策和数量型货币政策稳定房地产业的效果。本文认为,可以通过逐渐弱化商业银行在房地产金融市场中的垄断地位,丰富房地产信贷供给层次和结构,以及加强信贷供给监督来缓解信贷配给的消极作用。     

Transmission of shocks across global real estate and equity markets: An examination of the 2007–2008 housing crisis

This study analyses the impact of the 2007–2008 U.S. financial crisis on the structure of interdependence among several major global real estate and equity markets. Moreover, it performs a step-by-step comparative analysis to evaluate similarities and differences in the convergence patterns of global real estate markets vis-à-vis global equity markets. Long-run results indicate that global real estate markets were less integrated than global equity markets prior to the crisis. Since the crisis, however, both global real estate and global equity markets have become highly integrated with the U.S. real estate and equity markets, respectively, and have fully converged. Short-run analyses indicate that during the pre-crisis period, global real estate markets were highly exogenous and independent. In contrast, global equity markets were comparatively more interdependent with one another and more endogenous. After the crisis, however, both global real estate and equity markets reacted strongly to shocks emanating from the U.S. markets, although the impact of the U.S. real estate market on the global real estate market is more pronounced than the effect of the U.S. equity market on the global equity markets. Finally, the study shows that U.S. real estate and equity markets are the channels of transmission or the sources of trends that drive global markets over the long-run and the short-run.     

对金融衍生产品过度创新引致次贷危机的思考

次级抵押贷款是房地产抵押贷款市场的一种金融产品创新,为美国房地产的繁荣起到了巨大的推动作用。美国高风险次级抵押贷款的过度发放、以次级抵押贷款为基础资产的证券化产品和信用衍生品在全球金融市场泛滥,通过杠杆效应放大了实体经济中次级抵押贷款的风险,引致金融海啸。次级抵押贷款所带来的负面影响不容忽视,而金融产品创新要适度并要制定与完善监管体系。     

美国金融危机成因分析及对中国的警示

美国金融危机引发全球金融市场动荡。这场金融危机从美国的房地产市场开始，以惊人的速度蔓延，波及至信贷市场、资本市场，封全球尤其是西方金融机构和金融市场造成重大冲击，短期内升级为全球金融风暴。中国目前正处于资产价格上涨、信贷投放过度的经济环境之中，美国的金融危机给中国敲响了警钟。本文通过描述此次危机的发展脉络，在分析美国金融危机背景的基础上，从强化房地产按揭贷款业务风险管理，审慎推进资产证券化等六个方面得出了对中国的警示。     

Real estate markets and the macroeconomy: A dynamic coherence framework

This paper analyzes the dynamic interactions between real estate markets, in the US and the UK and their macroeconomic environments. We apply a new approach based on a dynamic coherence function (DCF) to study these interactions bringing together different real estate markets (the securitized market, the commercial market and the residential market). The results suggest that there is a common trend that drives the different real estate markets in the UK and the US, particularly in the long run, since they have a similar shape of the DCF. We also find that, in the US, wealth and housing expenditure channels are very conductive during real estate crises. However, in the UK, only the wealth effect is significant as a transmission channel during real estate market downturns. In addition, real estate markets in the UK and the US react differently to institutional shocks. This brings some insights on the conduct of monetary policy in order to avoid disturbances in real estate markets.     

A range-based volatility approach to measuring volatility contagion in securitized real estate markets

We use a newly-developed time-varying range-based volatility model to capture the dynamics of securitized real estate volatility. The novelty of the model is the use of a smooth transition copula function to capture the nonlinear comovements between major REIT markets in the presence of structural changes. We then investigate the impact of extreme events on the volatility dependence in a broad set of 13 developed countries over the period from 1990 to 2012. We find that information transmission through the volatility channel can exhibit either bi- or uni-directional causality. In addition, financial contagion following the subprime crisis is found between the U.S. and Australia.     

Forecasting REIT volatility with high-frequency data: a comparison of alternative methods

Volatility is a crucial input for many financial applications, including asset allocation, risk management and option pricing. Over the last two decades the use of high-frequency data has greatly advanced the research on volatility modelling. This article makes the first attempt in the real estate literature to employ intraday data for volatility forecasting. We examine a wide range of commonly used methods and apply them to several major global REIT markets. Our findings suggest that the group of reduced form methods deliver the most accurate one-step-ahead forecast for daily REIT volatility. They outperform their GARCH-model-based counterparts and two methods using low-frequency data. We also show that exploiting intraday information through GARCH does not necessarily yield incremental precision for forecasting REIT volatility. Our results are relatively robust to the choice of realized measure of volatility and the length of evaluation period.     

How globally contagious was the recent US real estate market crisis? Evidence based on a new contagion test

This paper utilizes a new contagion test based on case-resampling bootstrap technique to investigate whether there is any contagion effect in the interaction of the US real estate market with those of Australia, Japan and the UK arising out of the recent US real estate crisis or subprime crisis. Contrary to expectations, it is found that the relationship of the US market with the other markets following the US real estate market crisis cannot be characterized as one with contagion effect. Its relationship with the other markets is rather characterized by dependency behavior that prevails regardless whether the markets are under distress or not.     

热钱、房地产价格波动与金融体系稳定——基于SVAR模型的实证分析

热钱、房地产价格波动、银行信贷三者之间存在着一种自我强化的互馈机制,呈顺周期运行特征,会导致金融体系的不稳定,进而影响宏观经济。通过使用SVAR模型对我国房地产市场进行实证分析,结果发现：热钱推高了房价并且加剧了房价的波动,至少可以直接解释25％左右的房价波动,若进一步考虑货币供应量导致银行信贷扩张这一间接机制,其效果将更为可观。因此,要提高房地产调控政策的有效性、稳定金融市场,就必须加强对短期资本流动的监控,合理引导我国房地产市场的发展以及加速发展我国房地产金融体系,以达到控制和分散金融风险的目的。     

Financial contagion and volatility spillover: An exploration into Indian commodity derivative market

This study measures the extent of financial contagion in the Indian asset markets. In specific it shows the contagion in Indian commodity derivative market vis-à-vis bond, foreign exchange, gold, and stock markets. Subsequently, directional volatility spillover among these asset markets, have been examined. Applying DCC-MGARCH method on daily return of commodity future price index and other asset markets for the period 2006–16, time varying correlation between commodity and other assets are estimated. The degree of financial contagion in commodity derivative market is found to be the largest with stock market and least with the gold market. A generalized VAR based volatility spillover estimation shows that commodity and stock markets are net transmitters of volatility while bond, foreign exchange and gold markets are the net receivers of volatility. Volatility is transmitted to commodity market only from the stock market. Such volatility spillover is found to have time varying nature, showing higher volatility spillover during the Global Financial Crisis and during the period of large rupee depreciation in 2013–14. These results have significant implication for optimal portfolio choice.     

Housing market volatility connectedness among G7 countries

This study investigates international linkages among housing markets in the G7 countries, using the connectedness methodology developed in Diebold and Yilmaz (2012, 2015). We find that volatility connectedness varies over the business cycle, with a surge during the global financial crisis. We also show that the United States and Italy were major net transmitters of housing market volatility shocks to other countries during the global financial crisis and the European debt crisis, respectively.     

Gendered Paths to Asset Accumulation? Markets,Savings, and Credit in Developing Countries

An extensive literature shows how property inheritance is biased against women in many developing countries, yet relatively little attention has been given to gender bias in other means of acquiring physical assets, such as the market. Using individual-level data from Ecuador, Ghana, and Karnataka, India, this study analyzes modes of acquisition and financing of housing, agricultural land, other real estate, and businesses. The findings show that women acquire fewer of their assets through the market than men, and that in asset markets, both men and women are more likely to use their own savings than to use credit. The study also analyzes current loans for asset acquisition and finds that, in general, women tend to be somewhat disadvantaged in securing formal bank loans. The results suggest that financial inclusion to promote more gender equal access to accumulation of assets should focus on both savings and credit, with priority to savings.     

货币冲击、房地产收益波动与最优货币政策选择

与传统资产定价模型中风险收益权衡关系相悖,我国房地产市场存在投资异象和波动长记忆性特征。文章利用泰勒规则(Taylor Rule)的利率缺口,在剔除市场预期之后测度了中国市场的货币政策冲击,并基于房地产投资回报的时序数据波动聚集性和时变性特征构建GARCH(1,1)-M模型,以此度量我国房地产市场投资收益的波动演变路径,解释了央行实施加息的货币政策后当期房价反而上涨的投资现象。文章还立足于房地产市场参与人的投资特征,从行为金融学的全新研究视角出发,建立包含行为资产定价的动态模型经济系统,研究资产价格波动与最优货币政策选择问题,求得相应闭型解,为实施关注资产价格波动的最优货币政策提供理论基础。