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.     

House prices,credit and the effect of monetary policy in Norway: evidence from structural VAR models

This paper investigates the responses of house prices and household credit to monetary policy shocks in Norway, using Bayesian structural VAR models. The analysis indicates that the effect of a monetary policy shock on house prices is large, while the effect on household credit is muted. This is consistent with a relatively small refinancing rate (refinancing rate refers to the share of outstanding mortgages that are refinanced each period due to changes in, for example, house prices or interest rate) of the mortgage stock each quarter. Using monetary policy to guard against financial instability by mitigating property-price movements may prove effective, but trying to mitigate household credit may prove costly in terms of GDP and inflation variation.     

Are mortgage lenders guilty of the housing bubble? A UK perspective

Existing theoretical models of house prices and credit rely on continuous rationality of consumers, an assumption that has been frequently questioned in recent years. Meanwhile, empirical investigations of the relationship between prices and credit are often based on national-level data, which is then tested for structural breaks and asymmetric responses, usually with subsamples. Earlier author argues that local markets are structurally different from one another and so the coefficients of any estimated housing market model should vary from region to region. We investigate differences in the price–credit relationship for 12 regions of the UK. Markov-switching is introduced to capture asymmetric market behaviours and turning points. Results show that credit abundance had a large impact on house prices in Greater London and nearby regions alongside a strong positive feedback effect from past house price movements. This impact is even larger in Greater London and the South East of England when house prices are falling, which are the only instances where the credit effect is more prominent than the positive feedback effect. A strong positive feedback effect from past lending activity is also present in the loan dynamics. Furthermore, bubble probabilities extracted using a discrete Kalman filter neatly capture market turning points.     

A bank lending channel or a credit supply shock?

Shifts in credit supply could have a bearing on house prices e.g. through financial innovations and changes in regulation independently of the existence of a bank lending channel of monetary policy. This paper assesses the responses of US house prices to an exogenous credit supply shock and compares them with the effects from variations in credit supply associated with a bank lending channel. The contribution of the study is twofold. First, innovations in credit supply are identified using a mortgage mix variable, thereby accounting for the market-based financial intermediaries. As a robustness check a survey variable of bank lending standards for mortgage loans is also used. Second, the policy-induced credit supply effect on house prices is disentangled and compared with the effect from an exogenous credit supply shock. It is shown that in the first 3 years credit supply shocks affect house prices exogenously rather than through the bank lending channel. Monetary policy has still a large impact on house prices, even when the bank lending channel is ‘turned off’.     

中国房地产价格波动区域差异的实证分析

本文首先定性地比较了各地房价的波动,发现其波动具有明显的地区不平衡性。进一步,本文基于误差修正模型形式的paneldata模型讨论了房价区域波动的差异,并分析了造成各地区房价波动差异的原因,尤其是货币政策效应的区域差异。结论如下:无论是房价的长期趋势还是短期波动,信贷规模对东、西部地区影响都比较大,中部地区较小,表明政府实施的信贷政策对调控东、西部地区的房价是有效的。实际利率对各区域影响差异不大,且影响较小。人均GDP无论长期还是短期对中部地区房价影响都比较大,表明中部地区房地产市场的发展更多地依赖于该地区的经济发展状况。房价的预期变量在东部地区对房价的短期波动有较大影响。     

House Prices and Stock Prices: Different Roles in the US Monetary Transmission Mechanism*

We analyze the role of house prices and stock prices in the monetary‐policy transmission mechanism in the US, using a structural vector autoregressive model. If we allow the interest rate and asset prices to react simultaneously to news, we find different roles for house prices and stock prices in the monetary transmission mechanism. Following a contractionary monetary‐policy shock, stock prices fall immediately, while the response in house prices is more gradual. Regarding the systematic response in monetary policy, stock prices play a more important role than house prices. As a consequence, house prices contribute more than stock prices to fluctuations in gross domestic product and inflation.     

货币政策对房价的影响：一个文献综述

通过文献资料法和比较分析法，评述有关货币政策对房价影响的研究方法与研究结论。研究成果：（1）房价与利率问题正日益受到各界关注；（2）房价与利率的关系，学者之间研究的结论不相同，有的学者认为利率对房价产生影响，有的学者认为利率对房价没有影响。研究启示：货币政策与房价的关系还需进一步研究，调控政策还需要不断地完善。     

Optimal Loan Loss Provisions and Welfare

We study the welfare implications of optimal loan loss provisions in a New Keynesian model featuring endogenous default risk and inflationary credit spreads. A unique link between provisions, credit spreads and inflation can be employed to enhance macroeconomic stability. Optimal provisions are most effective when dealing with cost-push financial shocks inherent in volatile spreads and the zero bound problem of monetary policy. Relaxing provisioning requirements following a recessionary financial disturbance consistently achieves the first-best outcome while nullifying the value of monetary policy under commitment. In contrast, deflationary demand shocks warrant an optimal rise in provisions, which inflate prices yet mildly contract output.     

Housing,consumption and monetary policy: how different are the first-, second- and third-tier cities in China?

This article presents an empirical analysis of the relationship between house prices and the real economy in China’s first-, second- and third-tier cities. A Structural Vector Autoregression model is applied to study the impacts of monetary policy shocks and housing demand shocks on various housing markets across China. We also investigate the role of house prices in the transmission mechanism of monetary policy. The results reveal that in first-tier cities, raising interest rates has a stronger negative effect on house prices. Also, as house prices decrease in first-tier cities, private consumption declines sharply. There is a stronger role of housing markets in the transmission of monetary policy shocks in these cities. Our findings indicate that interest rate adjustment could effectively curb spikes in housing prices in the first-tier cities, but the impact of such adjustments on household consumption must also be considered.     

Capital Inflows and House Prices: Aggregate and Regional Evidence from China

Rising house prices in China have been of concern for investors and policymakers. Prices have risen substantially in the last decade, especially in large urban cities, and some economists have expressed concerns about the affordability of residential housing for young adults. This phenomenon becomes a major concern for policymakers, in terms of managing policies to balance the residential needs of individuals and the transition to a market economy. Theoretically, house prices ought to be linked to economic factors such as disposable income, availability of land to build and credit policy. However, it appears that traditional economic theories fail to appropriately explain house prices in China. We provide an explanation from the perspective of capital inflows into China. In terms of per capita remittances, China receives the highest inflow of foreign capital, and this may have a significant impact on risk adjusted returns in the Chinese market. To investigate this relationship, we use the vector error correction model to assess the impact of capital inflows on house prices. We find that capital inflows have a significant positive effect on house prices. The study makes important contributions to understanding the relationship between house prices and foreign remittances after controlling for other economic factors. China is a large economy. Because the impact of economic development in China has not been consistent across the country, we address the regional differences in the house price changes to capital inflows. Using regional data, we show that capital inflows have an asymmetric effect on the housing market across different provinces and cities of China. This has important implications for the development of economic policies in China that aim to provide fair access to residential housing for everyone. These findings are also relevant to investors in the housing market, whether investing for a personal residential home or as part of their diversified investment portfolio. It will also be informative to see how a reversal of capital inflows associated with tighter financing conditions in advanced countries will affect house prices in China.     

宏观共同因子、特质因子以及货币政策对中国各线城市房价的影响——基于FAVAR模型

运用FAVAR模型,将中国各线城市房价分离出宏观共同因子和特质因子部分,研究了各因子及货币政策对房价的影响。研究发现:大城市的房价更易受宏观共同因子和地区特质因子的影响,且变动的持续性更大;共同因子可在很大程度上解释房价变动的持续性和波动性;共同因子对房价的影响较为持久,而地区特质因子只在短期内影响房价;利率和货币供应量可以有效地影响房价;相比利率,货币供应量对一线和二线城市房价水平的影响更大,对各线城市房价波动的影响更为持久;一线城市的房价水平及其波动对货币政策冲击的敏感度较高,二线城市的敏感度居中,三线城市的敏感度较低;未发现货币政策的"价格之谜"现象,表明本文模型设定的合理性较强。     

A model of housing and credit cycles with imperfect market knowledge

The paper presents a model of housing and credit cycles featuring distorted beliefs and comovement and mutual reinforcement between house price expectations and price developments via credit expansion/contraction. Positive (negative) development in house prices fuels optimism (pessimism) and credit expansion (contraction), which in turn boost (dampen) housing demand and house prices and reinforce agents׳ optimism (pessimism). Bayesian learning about house prices can endogenously generate self-reinforcing booms and busts in house prices and significantly strengthen the role of collateral constraints in aggregate fluctuations. The model can quantitatively account for the 2001–2008 U.S. boom-bust cycle in house prices and associated household debt and consumption dynamics. It also demonstrates that allowing for imperfect knowledge of agents, a higher leveraged economy is more prone to self-reinforcing fluctuations.     

Financial distress and fiscal inflation

Is inflation ‘always and everywhere a monetary phenomenon’ or is it fundamentally a fiscal phenomenon? The answer hinges crucially on the underlying monetary–fiscal policy regime. Scant attention has been directed to the role of credit market frictions in discerning the policy regime, despite its growing importance in empirical macroeconomics. We augment a standard monetary model to incorporate fiscal details and credit market imperfections. These ingredients allow for both interpretations of the inflation process in a financially constrained environment. We find that introducing financial frictions to the model and adding financial variables to the dataset generate important identifying restrictions on the observed pattern between inflation and measures of financial and fiscal stress, to the extent that it overturns existing findings about which monetary–fiscal policy regime produced the U.S. data. To confront policy regime uncertainty, we propose the use of dynamic prediction pools and find strong cyclical patterns in the estimated historical regime weights.     

On the disequilibrium dynamics of sequential monetary economies

The purpose of this paper is to study the dynamic behavior of a sequential monetary exchange economy. Transactions take place sequentially against non-equilibrium prices, there is quantity rationing, and credit or cash are the only means of exchange. Agents have optimistic or pessimistic expectations about quantity constraints that represent their beliefs about future trading opportunities.In the credit model the agents incur debts along the transition path towards equilibrium, while in the cash-in-advance model convergence takes place without the occurrence of any debts or claims. The credit mechanism is shown to act as a ‘soft’ correction mechanism on credit fluctuations, while the cash-in-advance constraint acts as a ‘hard’ negative feedback effect driving the prices back towards a neighborhood of a monetary cash-in-advance equilibrium.     

Monetary policy,corporate profit and house prices

By using portfolio theory, we explain the highly observed correlation between the seemingly unrelated corporate profit and house prices in the United States. We test the predictions of the underlying model using a vector autoregression representation and find the data to be supportive of the theory. Monetary impulses explain high correlation as both corporate profit and house prices exhibit similar dynamics in response to a monetary impulse. Robustness checks are presented by using the federal funds rate instead of the monetary base as a measure of the stance of monetary policy and by using other model variations. In all cases, the results are robust.     

中国货币政策的区域效应研究——来自信用观点的解释

本文以货币政策的"信用观点"为理论前提,运用VAR模型对我国货币政策的区域效应进行了实证研究.分析结果表明,在我国直接融资还不发达、东、中、西部地区的银行体系特征还存在较大差异的现实背景下,中央银行统一的货币政策通过各地区的银行体系进行传导时,将通过影响各地区银行系统提供信贷的能力而影响各地区私人部门的信用可得性,从而导致各地区的经济发展水平体现出较大的差异,最终表现为货币政策的区域效应.为此中央银行必须实施差别化的货币政策和信贷政策以促进区域经济的协调发展.     

What Drives Urban Consumption in Mainland China? The Role of Property Price Dynamics

This paper adds to the literature on wealth effects on consumption by disentangling house price effects on consumption for mainland China. In a stochastic modelling framework, the riskiness, rate of increase and persistence of house price movements have different implications for the consumption/housing ratio. We exploit the geographical variation in property prices by using a quarterly city‐level panel data set for the period 1998Q1–2009Q4 and rely on a panel error correction model. Overall, the results suggest a significant long‐run impact of property prices on consumption. They also broadly confirm the predictions from the theoretical model.     

Informal Credit Markets and the Transmission of Monetary Policy: Evidence from South Korea

This paper is an empirical investigation of the transmission of monetary policy in South Korea. It combines modern mainstream macroeconomics with aspects of a developing economy with financial dualism through a simple IS-LM type model that explicitly incorporates an informal credit market. Vector autoregression analysis, with both semistructural and structural identifications, confirms the importance of a credit variable as a policy tool. The results show direct credit allocation by the central bank had a significant impact on output, prices, and the interest rate in the informal sector. Previous theoretical and empirical findings of "stagflationary" effects of monetary policy are refuted.     

An empirical analysis of the Scottish housing market by property type

This paper studies house price dynamics of the different property types in Scotland. We find evidence of i) breakpoints around the recent financial crisis in three property types (flats, terraced, semi‐detached) and in the average house prices, ii) volatility clustering in the detached house prices, with the CGARCH being the optimal volatility model, iii) negative impact of the unemployment and interest rates on house prices irrespective of the property type and positive effect of the CPI in the prices of the detached, terraced and average houses. Our results have significant implications for appropriate economic policy selection and investment management.     

流动性约束与货币政策的资产价格效应

本文在新凯恩斯主义分析框架下,基于一个动态随机模型探讨了代理人消费流动性约束下的货币政策的资产价格效应,得到下列结论：资产价格波动通过财富效应影响代理人的消费。以利率为操作目标的最优货币政策应对股价、房价等资产价格波动做出反应,而其反应强度依赖于受流动性约束的代理人所占的比重。由于资产价格波动导致了流动性约束的时变性,最优利率规则对股价、房价等资产价格波动的最优权重也具有时变性。本文的实证分析表明,我国央行对房价和股价波动的利率调整具有时变性,以及此次金融危机爆发期间显现的这种时变性特征,与本文理论分析结果相吻合。