房价波动、调控政策立场估计及其影响效应研究--基于1998-2014年数据的实证分析

调控政策对房价的反应、立场和影响效应是政府政策设计的重要依据,2007年底金融危机爆发后,调控政策和房价波动都发生了显著变化。文章以2008年为界,构建了三个房价和政策变量的月度时间序列样本：1998-2007年、2008-2014年和1998-2014年,在此基础上,对2008年前后调控政策的反应、立场和影响效应进行了实证分析。结果表明：(1)实际贷款利率和货币供应量在2008年前后对目标变量的反应是交错变化的,货币供应量对房价的反应与假定相反,货币政策并未对房价做出充分反应,而财政和土地政策表现出了较好的反应结果。(2)货币供应量对房价波动的影响最大,是房价持续上涨的重要原因,2008年以来,固定资产投资的影响非常显著,脉冲响应分析发现利率只能在短期内对房价产生负向影响,除土地政策外,货币和财政政策皆会在长期内对房价产生稳定影响。文章的研究为推进房价政策调控和房地产市场健康稳定发展提供了可靠的经验支持。     

The Impact of Monetary Policy and Housing-Purchase Restrictions on Housing Prices in China

This paper examines the level and volatility effect of monetary policy on housing prices in China utilizing a novel set of housing price indices constructed by (Fang, H., QuanlinGu, W. X., & Zhou, L.-A. (2015). Demystifying the Chinese housing boom. NBER Macroeconomics Annual 2015, Volume 30. University of Chicago Press.). We find that in the long-run, average housing prices react positively to inflation, money supply and bank lending growth, and negatively to the reserve requirement ratio and benchmark lending rate. Housing prices in Tier 1 cities respond more sensitively to monetary shocks relative to Tier 2 and 3 cities, possibly due to surging demand and limited supply under housing-purchase restrictions (HPR). We further study the volatility effect of monetary shocks using the GARCH model and find that the benchmark lending rate, reserve requirement ratio and money supply growth have strong negative impact on the volatility of housing price growth. Our benchmark results remain robust after incorporating the HPR policy variable in the estimation, with a significant negative effect of HPR on housing price growth in Tier 1 and Tier 2 cities. Lastly, we conclude with recommendations on future monetary policy design and implementation, with a specific focus on the heterogeneous characteristics of China’s housing market.     

货币政策对房地产价格调控的非对称效应——基于STR模型

从货币政策的非对称效应的角度,运用非线性模型——STR模型,探究了中国货币政策与房地产价格的关系。研究结果表明:货币政策对房地产价格的影响确实因所处经济周期阶段的不同而发生变化;货币政策与房地产价格之间存在非线性关系;不同经济增长水平下货币政策对房地产价格的调控效应是不对称的;在调控房地产价格方面,我国货币政策的信贷传导路径比利率传导路径更有效。     

我国资产价格波动与货币政策关系研究

随着金融自由化的逐步推进,资本市场存量日益增大.这既体现了金融深化程度的提高,又意味着货币供应与国民经济主要指标之间稳定性的弱化.资产价格对货币政策的制订和执行会产生深刻的影响.其中股价、房价等资产价格在货币政策传导机制中扮演的角色越来越重要.本文从实证角度出发,通过构建VAR模型检验我国资产价格对货币政策的反应以及资产价格对货币政策目标的影响,发现资产价格、货币政策及货币政策目标间存在长期协整关系,资产价格对产出有正向冲击作用,股市显著影响通货膨胀,但房地产市场对通货膨胀推动作用不明显,资产价格受货币政策的冲击影响显著,其中股市对货币政策冲击的反应明显大于房地产市场.     

成本冲击与价格粘性的非对称性——来自中国微观制造业企业的证据

本文在状态依存模型框架内,估计了中国制造业企业价格粘性的非对称性和异质性。结果显示制造业产品的价格粘性具有非对称的特征,同时企业的"异质性"也影响了产品的价格粘性。根据价格粘性理论,存在价格粘性时,货币是"非中性"的,通过调整货币数量能够影响短期内的产出。然而,由于价格粘性的非对称性,在通货膨胀时期,央行为了抑制通胀而采取的紧缩性货币政策将更多地表现为产出减少,而非价格水平下降;相反,为提高产出而实行的扩张性货币政策将更多地表现为价格水平上升,而非产出水平提高。只有通货紧缩时期,价格粘性的非对称性出现反转,扩张性货币政策在短期内才更有效。     

Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010

How do macroeconomic variables affect housing prices? In this paper we apply a non-linear modeling approach, the Nonlinear Auto Regressive Moving Average with eXogenous inputs (NARMAX), to investigate determinants of housing prices in China over the period 1999:01 to 2010:06. The NARMAX approach, combined with the famous Vector Error Correction Model (VECM), has an advantage over prevailing methods in that it automatically selects linear and non-linear forms of variables and the numbers of corresponding lags according to statistical properties. Estimation results mainly identify some key monetary and price variables in interpreting housing price dynamics, including most notably mortgage rate, producer price, broad money supply and real effective exchange rate. Meanwhile, real economic variables such as income are not independently significant.     

股票价格、实体经济与货币政策研究——基于我国1997-2011年的经验证据

本文运用格兰杰因果关系检验和向量自回归方法分析了1997年1月至2011年6月我国股票价格、GDP、通货膨胀率和货币政策的关系,实证结果表明,在中国,股票价格对通货膨胀的效应为正向,即股市上涨能带动通货膨胀水平的上涨。股票市场对GDP的影响短期内主要表现为替代效应,长期来看,则是财富效应和投资效应占主导;同时,货币供应量和利率对股票价格均有影响,但影响均不显著。通过格兰杰因果关系检验发现,利率变动导致货币供应量和股票价格发生变化。而货币供应量的变化影响着通货膨胀,也一定程度影响利率和股票价格。通过广义脉冲响应发现,中国人民银行紧缩性的利率政策并不能抑制股票价格上涨。增加货币供给短期内能够推动股市上涨,但长期对股市仍没有效果。     

Does money have a role in the inflation process? Evidence from Australia

Inflation, defined as a sustained increase in the price level, is considered a monetary phenomenon, as it can be explained within the framework of money‐demand and money‐supply relationships. In the extant literature, money growth is shown to remain causally related to inflation across countries and over time, irrespective of the exchange rate regime and stability of the money‐demand function. Nevertheless, emerging literature suggests a diminishing role of money in the conduct of monetary policy for price stability, especially under inflation targeting. Monetary policy in Australia under inflation targeting since 1993 is an example of policy that denies a relationship between money growth and inflation. The proposition that money does not matter insofar as inflation is concerned seems odd in both theory and the best‐practice monetary policy for price stability. This paper uses annual data for the period 1970–2017 and quarterly data for the period 1970Q1–2015Q1. It deploys both the Johansen cointegration approach and the autoregressive distributed lag (ARDL) cointegration approach to investigate for Australia whether money, real output, prices and the exchange rate (non‐stationary variables) maintain the long‐run price‐level relationship that the classical monetary theory suggests in the presence of such stationary variables as the domestic and foreign interest rates. As expected, the empirical findings for Australia are consistent with the classical long‐run price‐level relationship between money, real output, prices and the exchange rate. The error‐correction model of inflation confirms the presence of a cointegral relationship among these variables; it also provides strong evidence of a short‐run causal relationship between money supply growth and inflation. On the basis of a priori theoretical predictions and empirical findings, the paper draws the conclusion that the monetary aggregate and its growth rate matter insofar as inflation is concerned, irrespective of the strategy of monetary policy for price stability.     

物价稳定与房价：货币政策视角

住房价格变化是货币政策需要关注的重要指标。本文在梳理现有文献的基础上,研究了物价稳定与房价变动的关系,发现房价是物价变动的重要原因,而M1和贷款利率是房价变动的格兰杰原因。通过进一步建立结构性VAR模型,我们发现房价受到贷款利率影响最大,而物价受到货币供应量的影响最大。针对房价与物价变动的三个场景可以采取不同的货币政策操作：1、房价过快增长,物价保持稳定。此时为了避免房价对未来物价的冲击,又不影响到当前物价的稳定,可以提高贷款利率,并保持相对宽松的货币供给以对冲房价下跌对物价的不利影响,达到抑制房价而不影响物价的效果。2、房价和物价双双过快增长。此时,应调整贷款利率、准备金率和货币供应量,三管齐下加以治理。3、物价过快增长,而房价较为稳定。为了避免打压房价,可以不调整贷款利率、准备金率,仅控制货币供应量。     

Speculative behavior in a housing market: Boom and bust

We study a housing market with household buyers, speculative investors and property developers in a Walrasian scenario. We show that in addition to the factors that affect the real demand of household buyers and the development cost of property developers, investors' speculative behavior is an important factor explaining housing price evolution and dynamics. In particular, investors' extrapolative expectations may drive the housing price to persistently deviate from its benchmark value and even to explode. In contrast, investors' mean-reverting strategy can balance out the position of trend extrapolators, which may stabilize an otherwise explosive housing market. Moreover, the evolutionary process of housing prices driven by investors' speculative behavior is path-dependent in the sense that different initial market conditions may result in different price paths, which corresponds to the localization property empirically documented in the real housing market. In addition, within the stylized model, we provide some policy implications through analyzing the limitation and effectiveness of policy adjustments via down payment and development cost, and find that the decrease of development cost is a better measure to adjust the housing market when it booms or busts.     

货币供给的内生性与货币政策的效率——兼评我国当前货币政策的有效性

货币内生性理论指出公众的货币需求会直接影响中央银行的货币供给。因此 ,公众通过调整货币需求可以对中央银行的货币政策效果产生不确定的影响。本文利用货币内生性理论来分析公众行为对中央银行为稳定物价水平而采取的政策效果的影响 ;并通过实证分析证实我国M2 的供给有较强的内生性 ;我国货币政策在治理通货膨胀和通货紧缩的效果上存在着不对称性 ,以此可重新认识我国当前通货政策的有效性。     

The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach

This paper assesses the impact of monetary policy on real house price growth in South Africa using a factor-augmented vector autoregression (FAVAR), estimated using a large data set comprising of 246 quarterly series over the period 1980:01 to 2006:04. The results based on the impulse response functions indicate that, in general, house price inflation responds negatively to monetary policy shock, but the responses are heterogeneous across the middle-, luxury- and affordable-segments of the housing market. The luxury-, large-middle- and medium-middle-segments are found to respond much more than the small-middle- and the affordable-segments of the housing market. More importantly, we find no evidence of the home price puzzle, observed previously by other studies that analyzed house prices using small-scale models. We put this down to the benefit gained from using a large information set.     

THE TREATMENT OF “HOME OWNERSHIP” IN THE CPI*

This paper explores the imputed service price approach to the pricing of the services of consumer-owned-and-used durables in the construction of the consumer price index, using the services of owner-occupied housing as an illustration. A theoretical framework for analyzing this question is first developed. Certain practical problems are then discussed. The conceptual difficulty of constructing an appropriate rate of return on the basis of available data on interest rates and house prices, in the context of inflation, is explored. Two arguments are advanced that statistical agencies ought not to follow the imputed service price approach in pricing the services of owner-occupied dwellings and other consumer durables. On the one hand, nominal interest rates will, in any short period, reflect monetary policy and not any change in the money “rental” of owner-occupied houses. Second, movements in nominal interest rates will also reflect changes in the money price of pure consumption goods, as well as changes in the money price of houses. The argument is extended to other consumer durables and, in the limiting case, to monetary balances, and it is concluded that in all but trivial cases the application of the service price approach leads to price movements of little or no meaning.     

Bayesian analysis of Hong Kong's housing price dynamics

This paper uses a Bayesian vector‐autoregressive model with sign restrictions to estimate the underlying drivers of Hong Kong's housing price dynamics in the short run. While existing studies are useful in analysing housing valuation, little attention has been paid to the short‐run dynamics. In contrast, the present paper identifies short‐run drivers of housing prices using structural identification with theoretical underpinnings. We find that among the shocks that we have identified, bank lending shock and housing supply shock were the main factors affecting Hong Kong's housing prices. Low mortgage rates were another key factor that led to the significant increase in housing prices after the global financial crisis.     

Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-switching vector autoregressive model

This paper examines asymmetries in the impact of monetary policy on the middle segment of the South African housing market from 1966:M2 to 2011:M12. We use Markov-switching vector autoregressive (MS-VAR) model in which parameters change according to the phase of the housing cycle. The results suggest that monetary policy is not neutral as house price growth decreases substantially with a contractionary monetary policy. We find that the impact of monetary policy is larger in bear regime than in bull regime; indicating the role of information asymmetry in reinforcing the financial constraint of economic agents. As expected, monetary policy reaction to a positive house price shock is found to be stronger in the bull regime. This suggests that the central bank reacts more in bull regime in order to prevent potential crisis related to the subsequent bust in house prices bubbles which are more prominent in bull markets. These results substantiate important asymmetries in the dynamics of house prices in relation to monetary policy, vindicating the advantages of generating regime dependent impulse response functions.     

The cost of capital,asset prices,and the effects of monetary policy

The primary objective of this paper is to study the interaction between monetary policy, asset prices, and the cost of capital. In particular, we explore this issue in a setting where individuals face idiosyncratic risk. Incomplete information also provides a transactions role for money so that monetary policy can be studied. In contrast to standard monetary growth models which focus on the transmission of monetary policy to the demand for capital goods, we incorporate a separate capital goods sector so that the supply response to monetary policy is taken into account. Consequently, in contrast to the standard monetary growth model, monetary policy plays an important role in investment activity through the relative price of capital goods. Moreover, different sources of productivity can affect the degree of risk sharing. Although the optimal money growth rate falls in response to an increase in productivity in either sector of the economy, monetary policy should react more aggressively to the level of productivity in the capital sector.     

The 2007 financial crisis and the UK residential housing market: Did the relationship between interest rates and house prices change?

This paper investigates the impact of the 2007 financial crisis on the relationship between real mortgage interest rates and real house prices. It applies a dynamic conditional correlation based methodology that uses fractionally differenced data along with controls for structural breaks and non-interest-rate related factors that influence house prices. The key finding made is that the financial crisis had a long-term structural impact on the monetary transmission relationship. For example, we find that the mean conditional correlation between house prices in England and Wales and the three-year fixed mortgage rate rose by 6.6 percentage points. Similarly, the mean correlation between prices and the standard variable mortgage rate increased 6.4 percentage points to 54%. These findings suggest to us that interest-rate-based monetary policy still has an important role to play in the housing market.     

Ripple effect in house prices and trading volume in the UK housing market: New viewpoint and evidence

This study adopts the data of house prices and trading volume in the overall UK housing market and in the housing markets in the 10 major regions in the UK to estimate the ripple effect in the trading activities in the housing markets. First, this study details why the ripple effect occurs in the housing market price and volume using static and cobweb dynamic models. The results of the panel-based unit root tests indicate that the relative price and volume ratios show constancy, signifying that long-run equilibrium relationships exist between the regional and national housing markets in the UK. The frequency of the transaction volume convergence behavior is higher than that of the overall house prices.     

Determinants of housing price volatility in Canada: a dynamic analysis

This article tries to identify the determinants of housing price volatility and to examine the dynamic effects of these determinants on volatility using quarterly data for Canada. The Generalized Autoregressive Conditional Heteroskedastic (GARCH) and the Vector Autoregressive (VAR) models have been employed to analyse possible time variation of the housing price volatility and the interactions between the volatility and the key macroeconomic variables. We find the evidence of time varying housing price volatility for Canada. Our VAR, Granger causality and variance decomposition (VDC) analyses demonstrate that housing price volatility is affected significantly by gross domestic product (GDP) growth rate, housing price appreciation rate and inflation. On the other hand, volatility affects GDP growth rate, housing price appreciation and volatility itself. The impulse response analysis reveals the asymmetric of the positive and negative shocks. The findings of this article have important implications, particularly for those seeking to develop derivatives for housing market prices.     

Monetary policy in open economies

The recent literature on monetary policy in open economies has produced a strong presumption in favor of activistic policy and flexible exchange rates. We argue that this result may owe much to the combination of two commonly made assumptions: That nominal goods prices are rigid. And that the monetary authorities have a lot of information about the economy. When the source of nominal rigidity is found in wages and monetary policy is conducted according to less information demanding rules (such as a standard interest rate rule) policies that stabilize the money supply or the nominal exchange rate may perform better.