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。     

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.     

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 dynamic effectiveness of monetary policy in China: evidence from a TVP-SV-FAVAR model

We use a broad set of China’s macroeconomic indicators and a dynamic factor model to estimate latent factors of economic output and inflation, which are used to measure the ultimate objectives of monetary policy. The above factors and policy variables are incorporated into a TVP-SV-FAVAR model to investigate the dynamic effectiveness of Chinese monetary policy. Our results confirm that the effects of Chinese monetary policy are time-varying. By comparing the quantity rule with the price rule, we find that the price rule is more effective in managing China’s macro-economy, especially after the financial crisis. Moreover, the results can be regarded as a division of policy rules in a way that different rules are directed at different objectives.     

The effects of monetary policy in the Czech Republic: an empirical study

In this paper, we examine the effects of Czech monetary policy on the economy within the vector auto regression (VAR), structural VAR, Bayesian VAR with sign restrictions, and factor-augmented VAR, frameworks. We document a well-functioning transmission mechanism similar to the euro area countries, especially in terms of persistence of monetary policy shocks. Subject to various sensitivity tests, we find that a contractionary monetary policy shock has a negative effect on the degree of economic activity and the price level, both with a peak response after one year or so. Regarding prices at the sectoral level, tradables adjust faster than non-tradables, which is in line with microeconomic evidence on price stickiness. There is no price puzzle, as our data come from a single monetary policy regime. There is a rationale in using the real-time output gap instead of current GDP growth, as using the former results in much more precise estimates. The results indicate a rather persistent appreciation of the domestic currency after a monetary tightening, with a gradual depreciation afterwards.     

Empirical evaluation of nominal convergence in Czech Republic, Poland and Hungary (CPH)

We estimate a four variable structural vector auto regression (SVAR) model of the Czech Republic, Poland and Hungary economies in order to evaluate the links between the instruments of monetary policy and inflation outcomes. We find that the linkages between the interest rates and price levels are weak. However, the exchange rate constitutes the most important channel of monetary policy transmission for Poland and Hungary. For the Czech Republic, the link between interest rate rise and price level is rather indirect.     

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.     

Sectoral inflation persistence and optimal monetary policy

This paper examines optimal monetary policy in a new Keynesian model with sectoral inflation persistence. It focuses on the welfare differential between timeless perspective (TP) and a purely discretionary monetary policy. Sectoral inflation persistence renders the central bank’s optimization problem more complicated under both cases of constant elasticity of substitution consumption index and generalized rule-of-thumb price setting. We find that there are substantial gains from employing a TP policy. This paper addresses the fact that this gain is robust with any changes in key structural parameters.     

The Effects of Monetary Policy Shocks in the USA: A Forecast‐Augmented VAR Approach

This paper formulates a forward‐looking monetary policy function for the USA in a structural vector autoregression (VAR) model, by using forecasts of key macroeconomic variables, in addition to the ex post realised variables used in a standard VAR. Since this forecast‐augmented VAR (FOAVAR) uses both forecasted and realised variables, and the standard VAR uses only realised variables, the standard VAR is nested in the FOAVAR. I find that the Fed responds to forecasted macroeconomic variables more significantly than realised variables. I also find that the monetary policy shock in the FOAVAR generates impulse responses of variables that are consistent with the predictions of economic theories, while the policy shock in the standard VAR causes a price puzzle: an increase in the price level due to a contractionary policy shock. These results suggest that a monetary policy function identified in a standard VAR, by using only realised macroeconomic variables, may incorrectly represent the Fed's policy function.     

货币政策与金融资产价格

( 1 )货币政策对金融资产价格 (特别是股票价格 )有影响 ,当投资的上升引起原材料和劳动力价格上涨时 ,扩张性货币政策的长期结果是同时引起商品物价水平和股票价格的上升 ;当投资具有规模经济效应或可以使劳动生产率显著提高时 ,扩张性货币政策的长期结果是股价的上升和物价水平的下降。因此 ,货币数量与通货膨胀的关系不仅取决于商品和服务的价格 ,而且在一定意义上取决于股市。 ( 2 )无论股市财富效应大小 ,通过货币政策刺激股票市场拉动需求的做法在长期都是不可靠的。当股市价格偏离稳态已经越来越远时 ,经济运行将是不安全的。     

Dynamics of money, output and price interaction — some Indian evidence

The present study is an attempt to model the dynamic interactions between money, output and prices in a structural vector autoregression framework. The primary concern of the paper is to examine the sources of variations and response of one variable to changes in others in a system of economic variables in the Indian context. Using quarterly data from 1970Q1 to 1990Q4, we find that structural factors, in addition to monetary factors, play an important role in generating and sustaining the process of inflation and fluctuations in economic activity. An increase in money/credit supply is found to increase output and prices in the short-run and prices in the long-run, while a non-accommodating monetary policy is ineffective in controlling inflation even at the cost of substantial output losses, thereby indicating relative rigidities in price movements. Another interesting finding is that the monetary authority responds differently to different price shocks, exercising its leverage in altering the quantity as well as the composition of aggregate money supply. Our findings also indicate that the economy is characterized by relatively large and infrequent shocks to ‘price/cost’-related factors. Finally, our analysis suggests that a simple monetary targeting without adequate ‘supply side’ measures may not be able to serve the objective of maintaining growth with price stability.     

Monetary policy tradeoffs between financial stability and price stability

We analyze the impact of interest rate policy on financial stability in an environment where banks can experience runs on their short‐term liabilities forcing them to sell assets at fire‐sale prices. Price adjustment frictions and a state‐dependent risk of financial crisis create the possibility of a policy tradeoff between price stability and financial stability. Focusing on Taylor rules with monetary policy possibly reacting to banks’ short‐term liabilities, we find that the optimized policy uses the extra tool to support investment at the expense of higher inflation and output volatility.     

The role of the exchange rate in Canadian monetary policy: evidence from a TVP-BVAR model

A time-varying parameters Bayesian structural vector autoregression (TVP-BVAR) model with stochastic volatility is employed to characterize the monetary policy stance of the Bank of Canada (BoC) in terms of an interest rate rule linking the policy rate to the output gap, inflation and the exchange rate. Using quarterly bilateral Canadian–US data, we find such an interest rate rule to have little explanatory power for the early part of our sample starting in the mid-1980s, but to become more suitable to explain interest rate dynamics from the mid-1990s onwards. Whereas the exchange rate turns out to be the major determinant of the policy rate in the 1980s, its importance declines throughout the 1990s and 2000s, although it continues to be influential even towards the end of the sample period ending in 2015Q2. We also find interest rate shocks to have become more effective in influencing the macroeconomy over time, indicating that the BoC has continually gained monetary policy credibility. We associate this development with the BoC successively de-emphasizing the role of the exchange rate in informing interest rate decisions, thereby alleviating the potential monetary policy conflict between targeting the exchange rate and maintaining the price stability goal.     

Forward-looking monetary policy and anticipated shocks to inflation

This paper extends a standard New Keynesian model to describe the effects of anticipated shocks to inflation and forward-looking monetary policy. Using the data generated from this modified model suggests that overlooking these two factors in the standard Cholesky structural vector autoregressive identification scheme will generate a price puzzle. Furthermore, this paper demonstrates that failing to account for these two factors may result in significant estimates of two other explanations of the price puzzle—the cost channel of transmission of monetary policy and indeterminacy due to violation of the Taylor principle—even though neither features in the data generating process.     

China’s house price: Affected by economic fundamentals or real estate policy?

Many theory and empirical literature conclude that house price can reflect economic fundamentals in the long-term. However, by using China’s panel data of 35 main cities stretching from 1998 to 2007, we find that there is no stable relationship between house price and economic fundamentals. House price has deviated upward from the economic fundamentals since government started macro-control of the real estate market. We consider that the mechanism between the house price and economic fundamentals is distorted by China’s real estate policy, especially its land policy. Meanwhile the policy itself is an important factor in explaining the changes of China’s house price. Then we estimate the dynamic panel data model on house price and the variables which are controlled by real estate policy. The result shows: land supply has negative effects on house price; financial mortgages for real estate have positive effects on house price; and the area of housing sold and the area of vacant housing, which reflects the supply and demand of the housing market, has negative effects on house price. We also find some differences in house price influence factor between eastern and mid-western cities. Finally, we propose policy suggestions according to the empirical results.     

STRUCTURAL INFLATION AND THE 1994 'MONETARY' CRISIS IN CHINA

This paper examines the 1994 inflation in China, which occurred at a time when the government was vigorously conducting macroeconomic contraction. The event deserves more attention for both academic and policy research reasons. The paper shows that the inflation was led by food price increases, a step of price reform intended to adjust relative price ratios to the equilibrium level. The nature of the inflation was structural rather than monetary. This kind of structural inflation is common in transitional economies. Indeed, it largely characterizes chronic price increases that have occurred in such countries. A proper monetary policy curbing inflation should take into account the structural factor. Monetary growth should be targeted to the extent that it accommodates structural adjustment but does not cause pure monetary inflation.     

Quantitative easing and asset bubbles

Expansionary monetary policy is necessary to respond to financial crises. However, if Central Bank asset purchase initiatives are too large or last too long, they can lead to explosive increases in asset prices which add to the risk of a future crisis. This article employs two models including the Campbell–Shiller and Generalized Supremum Augmented Dickey Fuller techniques to search for bubbles in the US equity, housing and bond markets over the past eight years. Although, we find that prices in equities and housing have risen following Federal Reserve intervention, there is little indication of asset price bubbles. There is evidence of explosive bond price increases from September of 2011 to February of 2013.     

当前我国货币政策工具选择的依据及运用

2010年我国调整了实施两年多的宽松货币政策,宣布2011年实行稳健的货币政策。使货币政策从宽松转向稳健的最直接原因是目前我国物价上涨加快,资产泡沫化加剧,通胀预期上升。但是,紧缩货币政策工具的力度除了考虑国内物价因素以外,还应考虑到国际因素。当前,外围主要经济体增长率下滑、失业率高企,因而当前甚至今后一段时间内,央行在使用紧缩货币政策工具收紧流动性、防止资产泡沫风险时,应把握好节奏和力度,以防经济硬着陆风险。     

Uncovering the link between a flexible exchange rate and fundamentals: the case of Central and Eastern European economies

This article examines the link between a nominal exchange rate and macrofundamentals in Central and Eastern European (CEE) countries. We use the model based on the monetary policy rule as a theoretical framework that explains the relations between the exchange rate and price level, risk premium, output gap, and expected inflation. It allows for endogeneity of the monetary policy – the issue ignored in the widely used monetary model. The sample covers the period January 2000 – December 2014, so the data are not plagued by high-inflation differentials characteristic for the early transition period and include countries with relatively flexible exchange rates. Our empirical strategy employs the panel error correction model that allows for cross-sectional dependence and a series of panel causality tests. The main finding is that the nominal exchange rates in CEE countries are not disconnected from macrofundamentals implied by the Taylor rule-based model. More specifically, we find that there is a strong cross-sectional dependence among CEE countries, exchange rates Granger-cause macrofundamentals and tend to revert to the long-run relation, and that the results are robust to the ‘extraordinary circumstances’ argument, i.e. do not rest on the dynamics during the global financial crisis.     

Building a financial conditions index for the euro area and selected euro area countries: What does it tell us about the crisis?

In this paper we construct financial conditions indices (FCIs) for the euro area, for the period 2003 to 2011, using a wide range of prices, quantities, spreads and survey data, grounded in the theoretical literature. One FCI includes monetary policy variables, whilst two versions without monetary policy are also constructed, enabling us to study the impact of monetary policy on financial conditions. The FCIs constructed fit in well with a narrative of financial conditions since the creation of the monetary union. FCIs for individual euro area countries are also provided, with a view to comparing financial conditions in core and periphery countries. There is evidence of significant divergence both before and during the crisis, which becomes less pronounced when monetary policy variables are included in the FCI. However, the impact of monetary policy on financial conditions appears not to be entirely symmetric across the euro area.