中国股市财富效应静态和动态实证分析

本文利用2002—2008年的月度数据,利用协整分析、误差修正模型等现代计量经济方法和状态空间模型研究了中国股市财富效应问题。研究结果认为:从长期均衡关系看,我国股市财富效应是显著存在;从短期动态关系看,我国股市财富波动对全社会消费支出波动具有负影响但不显著;从股市财富的边际消费倾向的动态过程看,我国股市财富效应始终存在,但挤出效应同样显著。     

House prices, wealth effects, and the Singapore macroeconomy

This paper examines the effect housing wealth has upon aggregate consumption in Singapore. While past research has focused only on changes in private housing wealth, the residential market in Singapore is dominated by the public housing sector. The massive public housing segment can generate potentially different wealth effects from standard private housing markets given the former’s unique institutional features. In particular, public housing owners who sell their units at market rates can repurchase a public flat at subsidized prices whereas private homeowners typically cannot. We estimate the link between consumption expenditure and both private and public housing wealth using a VARX approach for the Q1:1990–Q4:2002 period. We find that changes in private house prices have no significant effect on aggregate consumption. In contrast, public housing wealth effects are larger and more persistent.     

The effect of housing and stock market wealth on consumption in emerging and developed countries

This study examines the long- and short-run relationship between private consumption, housing wealth, stock market wealth and income. In order to asses this relationship empirically, we use pooled mean group estimators of dynamic heterogeneous panel data on a sample of 30 developed and emerging economies. The sample countries are segmented into three separate panels: a developed bank-based panel, a developed market-based panel, and an emerging bank-based panel. Empirical estimates support the existence of long- and short-run stock market wealth effects in both groups of developed countries, with the effect being particularly strong in the developed market-based countries. A moderate long-run housing wealth effect is confirmed only for the developed bank-based countries, while a very strong short-run housing wealth effect is present in the developed market-based countries. As far as the emerging countries are concerned, the evidence is somewhat inconclusive, but it does seem to suggest that both wealth effects are effective in the long run, with housing wealth being more dominant.     

基于VAR模型的中国股市财富效应实证研究

文章运用基于VAR模型的协整检验、Granger因果关系检验、ECM方法研究有关财富效应的一些问题,形成以下结论:我国股票市场总体上存在财富效应,但在某些时段表现为股市投资对消费的替代效应;通过股票市场刺激消费的做法短期可行,长期并不有效。文章最后提出了有利于发挥股市财富效应的相关措施。     

Savings, Personal Wealth and Risk

In this Briefing Paper we examine the underlying determinants of personal savings behaviour to substantiate our view that the recent fall in savings rates does not imply that it must in future bounce back to some more normal level. On the contrary there are good reasons for believing that savings are more likely to go on falling than to rise.
We argue that consumer behaviour should be related explicitly to personal wealth as well as to disposable income. Personal wealth has risen substantially since 1982: the fall in inflation and long-term interest rates has pushed up gilts' prices; the recovery of profits has sparked off a stock market boom; and the value of the housing stock, which is by far the most important asset held by the personal sector, has started to rise again in real terms. This rise in asset values means that, despite a rise in consumption financed by borrowing, the personal sector balance sheet still in a healthy state, particularly when account is taken of the personal savings now held indirectly via pension funds. These have risen rapidly recently, reducing the need for other long-term savings.
The rise in total wealth has increased savers' tolerance of a fall in net liquid assets (bank and building society deposits etc less borrowing). The willingness to hold a smaller (precautionary) stock of net liquid assets may also reflect a perceived reduction in risk. Financial markets have been much more stable over the period since 1975 than over the preceding eight years, and may now be signalling that the period of adjustment to the shocks and disturbances of the 1970s is drawing to an end. The fall in savings is a worldwide phenomenon. As in the UK it is linked to the fall in inflation and may also be connected with the recovery of the world's major stock markets.     

Are the stock and real estate markets integrated in China?

This paper examines the dynamic short-run and long-run co-movement between the real estate and stock markets in China by employing a continuous wavelet method. We use gross domestic product and M2 (broad money supply) as control variables to eliminate the common factors of the two markets and to identify the real nexus between them. The empirical results show that the co-movement between real estate and stock prices is weak in the short run, except during the financial crisis period. Since the stock market is highly volatile, while real estate prices are relatively stable, the two markets are less correlated in the short run. The results also show that real estate prices affect stock prices in the long run, which supports the existence of a credit-price effect in China. Real estate prices remained very high in most time periods. Enterprises and individuals can obtain funds from bank loans to invest in the stock market, thus raising stock prices. These findings indicate that the two markets are generally segmented in the short run but are integrated in the long run. The stabilization of the real estate market is critical for stability in the stock market, but not vice versa. Additionally, investments in the two markets may not provide a high level of risk dispersion in the long run in China.

     

股市财富效应对消费的影响研究

首先从理论上阐明了股市财富效应形成的机理以及股市财富效应影响消费的条件。然后,通过对中国数据的经验分析,利用相关性检验和因果检验,指出我国股市财富效应对消费存在着一定的影响;并提出了完善股市财富效应的消费传导机制的建议,以及通过调控股市来调控消费、稳定经济金融的观点。     

Individual stock sentiment beta and stock returns

Using the data in Chinese stock market, we measure the individual stock sentiment beta, which is defined as the sensitivity of individual stock returns to the individual stock sentiment changes. We demonstrate that stocks in the highest individual stock sentiment beta portfolio have significantly higher excess returns, CAPM alpha, Fama-French three-factor alpha and Fama-French five-factor alpha. Besides, we find that the high individual stock sentiment beta stocks are smaller, younger, more volatile stocks with higher price and higher market beta. After controlling for firm characteristic, the returns of High-Low individual stock sentiment beta portfolios are still significantly positive. Moreover, we show the effect of the individual stock sentiment beta on stock returns is positive and significant in different stock markets, in different sample periods, and in bull and bear market. Besides, the results of the Bayes-Stein individual stock sentiment beta are still stable.     

The determinants of homebuilder stock price exposure to lumber: Production cost versus housing demand

We study the economic linkage between homebuilder stock market performance and commodity futures market information on a major component of building materials—lumber. The price of lumber plays a dual role in determining homebuilder profits: it represents a production input cost and serves as a future housing demand indicator. Using all US publicly listed homebuilder stocks, we show that the housing demand effect dominates the builder–lumber relationship. This effect is robust even after we control for the Federal Housing Finance Association (FHFA) housing price index (HPI). Our results further indicate that the slope of the lumber futures curve serves as a cross-market signal of future housing demand and thus of homebuilder stock market performance.     

Identifying states of global financial market based on information flow network motifs

Stock markets exhibit different states due to internal and external shocks. It is of great significance to identify the status of global financial markets. Based on 48 global stock indices from 1996 to 2018, we constructed a global stock index transfer entropy network, which represents the information flow between stock markets in different economies. By analyzing the triadic motifs in the transfer entropy network, we divided the global stock market into different market states based on the distribution of motifs. The characteristic structure of information flow was observed in different market states. We found that the information flow in the global stock market increases significantly during major financial events, indicating that the global stock index has a mutual influence and a close relationship with each other. In addition, stock indices in the Asia-Pacific, Middle East, and Africa are the main sinks of information, while stock indices in the Americas and Europe are the primary sources of information.     

Macroeconomic implications of mortgage loan requirements: an agent-based approach

It is a well-known fact that the housing market, with its associated mortgage securities, plays a crucial role in modern economies. The recent crisis of 2007, triggered by the U.S. real estate bubble, confirms this key role and suggests the importance of regulating mortgage lending. This paper investigates these issues by designing a housing market with a linked mortgage lending instrument in the Eurace agent-based model. Our results show that the presence of a housing market in the model has relevant macroeconomic implications, driven mainly by the additional amount of endogenous money injected into the economy by new mortgages. This additional money generally helps to support and stabilize aggregated demand, thus improving the main economic indicators. However, if the regulation of mortgage lending is too lax, involving an increase in the debt-service-to-income ratio (DSTI), then the additional supply of mortgages no longer enhances macroeconomic performance, and the stability of the economic system is undermined. Based on a number of recent discussions, a regulation of stock control that targets households’ net wealth (a stock), rather than income (a flow) is designed and analyzed. The results show that regulation of stock control can be combined effectively with DSTI to increase the stability of the housing market and the economy as a whole. Interestingly, the regulation based on stock control also directly affects mortgage distribution among households, avoiding excessive concentration. From a policy perspective, our results suggest that the use of a mild flow control regulation, coupled with a stricter stock control measure, fosters sustainable growth and eases first-time buyers access to the housing market, encouraging homeownership.

     

Selective housing policy in local housing markets and the supply of housing

Selective programs and subsidies have an impact on both the financial position and the housing conditions of the household to whom they are allocated. They also affect the equilibrium outcome in housing markets. This study analyzes how the housing stock in Norwegian municipalities is affected by selective targeted interventions on the supply and demand-sides of the market. The empirical analysis shows that additions to the stock of public housing increases the total housing stock. For every 100 new public units built, 60 units are added to the total housing stock. Demand-side subsidies are also shown to increase the size of the housing stock. Using a linear spline it is shown that the magnitude of the marginal effect on the total size of the housing stock is strongly decreasing in program size.     

Re-evaluating the association between housing wealth and aggregate consumption: New evidence from Sweden

This paper extends the VECM cointegration model and PT (permanent-transitory) variance decomposition framework proposed by Lettau and Ludvigson [Lettau, M., Ludvigson, S.C., 2004. Understanding trend and cycle in asset values: reevaluating the wealth effect on consumption. American Economic Review 94 (1), 276–299.] and applies them to Swedish data from 1980q1 to 2004q4. There is strong statistical evidence that the long run movements of aggregate consumption, disposable income, housing wealth, and financial wealth are tied together. However, the evidence also suggests that short run variations in the Swedish housing market are largely dissociated with consumer spending. Meanwhile, it is shown that the strength of the linkage between consumption and housing wealth is not sensitive to different model specifications and various measures of key variables.     

Time-varying impact of monetary policy shocks on US stock returns: The role of investor sentiment

This paper investigates how monetary policy shock affects the stock market of the United States (US) conditional on states of investor sentiment. In this regard, we use a recently developed estimator that uses high-frequency surprises as a proxy for the structural monetary policy shocks, which in turn is achieved by integrating the current short-term rate surprises, which are least affected by an information effect, into a vector autoregressive (VAR) model as an exogenous variable. When allowing for time-varying model parameters, we find that, compared to the low investor sentiment regime, the negative reaction of stock returns to contractionary monetary policy shocks is stronger in the state associated with relatively higher investor sentiment. Our results are robust to alternative sample period (which excludes the zero lower bound) and model specification and also have important implications for academicians, investors, and policymakers.     

Order aggressiveness, pre-trade transparency, and long memory in an order-driven market

Recent empirical research has documented that the state of the limit order book influences stock investors' strategies. Investors place more aggressive orders when the same side of the order book is thicker, and less aggressive orders when it is thinner. We conjecture and demonstrate that this behavior is related to long memories of trading volume, volatility, and order signs in stock markets. We investigate our conjecture in two types of artificial stock markets: a transparent market, in which agents observe all limit orders on both sides of the book and order volumes at those prices before they trade; and a less transparent market, in which agents observe only the best five bid and ask quotes with the depth available at these limit prices. The first market structure resembles certain actual stock exchanges in the level of pre-trade transparency, such as the Australian Stock Exchange, NYSE OpenBook, and the London Stock Exchange, whereas the second market structure is consistent with stock exchanges such as Euronext Paris, the Toronto Stock Exchange, the Tokyo Stock Exchange, and Hong Kong Exchanges and Clearing. We demonstrate that our long memory results are robust with different levels of pre-trade transparency, implying that the strategy constructed by the state of the order book is key for explaining long memories in many actual stock exchanges.     

What drives herding in oil-rich,developing stock markets? Relative roles of own volatility and global factors

The main goal of this paper is to formally establish the volatility-herding link in the developing stock markets of the oil-rich GCC countries by examining how market volatility affects herd behavior after controlling for global factors. Using a regime-switching, smooth transition regression model (STR), we find significant evidence of herding in all Gulf Arab stock markets, with the market volatility being the more paramount factor governing the switches between the extreme states of non-herding and herding. The global variables comprised of the U.S. stock market performance, the price of oil and the US interest rate as well as the risk indexes including the CBOE Volatility Index (VIX) and the St. Louis Fed's Financial Stress Index (FSI) are found to be significant factors governing the transition to herding states. The findings stress the effect of contagion in financial markets, despite the restrictions established by the GCC policymakers in order to protect their markets.     

Risk spillovers and hedge strategies between global crude oil markets and stock markets: Do regime switching processes combining long memory and asymmetry matter?

This paper investigates risk spillovers and hedge strategies between global crude oil markets and stock markets. In the paper, we propose a multivariate long memory and asymmetry GARCH framework that integrates state-dependent regime switching in the mean process with multivariate long memory and asymmetry GARCH in the variance process. Our results first show that there are linear risk spillovers running from the US stock markets to the WTI oil market in the short term. However, the linear risk spillover effect running from the oil market to the US stock market can only exist in the long term. In addition, there is a bidirectional linear risk spillover effect between the European stock markets and the Brent oil market in the short and long terms. Furthermore, there is no linear risk spillover effect between the Dubai oil market and the Chinese stock market. Second, the nonlinear risk spillovers running from the WTI oil market to the US stock market can be found in the tranquil regime. Moreover, there is also a nonlinear risk spillover effect running from the European stock markets to the Brent oil market in the tranquil regime. In addition, the nonlinear risk spillover effect running from the Brent oil markets to the European stock market can be found in the crisis regime. Furthermore, there is bidirectional nonlinear Granger causality between the Dubai crude oil market and the Chinese stock market in the tranquil regime. Finally, dynamic hedge effectiveness shows that the regime switching process combined with long memory and asymmetry behavior seems to be a plausible and feasible way to conduct hedge strategies between the global crude oil markets and stock markets.     

Real estate portfolio allocation: The European consumers’ perspective

Owner occupied housing facilitates household wealth accumulation and the stability of consumption in developed countries. It also contributes to other social goals. But owner-occupied housing is also a risky investment. This paper synthesizes existing knowledge about the riskiness of housing investment in European economies during the past quarter century. It also presents estimates of the potential gains to European consumers from investments in derivatives which may reduce risk at the individual level. We find that futures markets in house price indexes may increase portfolio returns for European investors by several percentage points at the same level of risk. We also consider practical steps to develop markets for these investments.     

The impact of China's stock market reforms on its international stock market linkages

This paper investigates how China's stock market reforms have affected the stock market linkages between China and Korea, Japan and the US respectively. We firstly use a 4 × 4 asymmetric GARCH-BEKK model and a series of likelihood ratio tests to uncover China's regional and global linkages between 1992 and 2010 and during three sub-periods representing the stages of the Chinese reforms. The results show that Chinese stock market is linked to these overseas markets and the reforms permit spillovers to these markets from China. The subsequent regression analyses of the time-varying conditional correlations, in the presence of growing economic integration, exchange rate risk and financial turbulence, further indicate that the interdependences between China and the regional markets increase due to the implementation of liberalisation policies. However, the correlation between China and the global market remains weak even though this correlation responds positively to the institutional reforms on China's stock market additionally.     

An investigation on mixed housing-cycle structures and asymmetric tail dependences

This paper designs a Markov-switching mixture Copula-based model with a mixed Markov-transition mechanism to investigate the mixed housing-cycle structures and asymmetric tail dependences for the Pacific and Mountain divisions of American regional housing markets. The empirical results demonstrate four interesting findings. First, the Markov-switching process can capture the housing cycle of each housing market. Second, the evidence of the mixed Markov-switching specification indicates that the joint housing-cycle behaviors are related not only to the total dependence mechanism, but also to the independent mechanism. Specifically, each housing market has its own characteristics, and these characteristics play relatively more important roles in determining the joint housing-cycle pattern than do common factors related to the total dependence framework. Third, the two housing markets have asymmetric tail dependences. Tail dependence exists when two markets experience the same housing-cycle modes, but does not occur when two markets experience distinct housing-cycle modes. In addition, the intensity of tail dependence is stronger when two markets remain in recession mode, as opposed to when they remain in recovery mode. This finding suggests that downward price rigidity does not exist in regional housing markets. Fourth, the spillover effects between housing returns are asymmetric.