On the persistence of prices in Mexico: a fractional integration approach

A relevant yet often overlooked characteristic of the inflation rate is its mean-reverting property. If a series has this feature, shocks eventually dissipate, whereas if it does not, they have a permanent effect on the series. The usual I(1) versus I(0) dichotomy in time-series econometrics goes only so far towards disentangling this issue. By employing a methodology that estimates the persistence of inflation by allowing (i) fractional integration and (ii) persistence and level shifts in the series, we aim to define whether it is stationary and/or mean reverting and, if so, during which periods. The results of our analysis for the period 1987–2015 are threefold: firstly, inflation in the eighties and nineties should be seen as a highly persistent yet mean-reverting process (not a random walk); secondly, inflation remained mean reverting, though became a short-memory (less persistent) process around the date of the implementation of the inflation-targeting framework of 2001; thirdly, during the later phase, the level of inflation also decreased and is now within the inflation target range set by Banco de México, namely 3 per cent with an interval of ±1 percentage point.     

Housing price variability: national and local impacts

This article examines the influence of national and local forces on housing prices in 20 local US real estate markets during the recent housing price run-up and decline. We use reduced-form panel data fixed-effects models with robust SEs to determine the impact of national and local effects on housing prices in 20 US cities across time. A national home price index and mortgage rate are used to measure national impacts on the local markets. A mix of socio-economic variables estimates local impacts. We find no results indicating that national trends lack relevance in local markets; however, we find wide support for the additional inclusion of local socio-economic factors in all markets. The findings are consistent with an environment in which national polices and trends influence all markets; however local policymakers and investors can continue to expect geographic differences in market outcomes.     

Estimating fundamental and affordable housing price trends: a study based on Singapore

Policy-makers often impose some cooling measures on the housing market when housing prices rise fast. Such policies yield limited success if housing prices are driven up by fundamentals. Estimating a fundamental price trend from observed price data is a challenge. We present an empirical methodology to separate housing price trends into fundamental and affordable components. Deviating from the common practice, we replace current income by a long-run income measure constructed from household incomes at different quantiles. This income measure provides a more suitable basis for constructing affordable house price levels. It also serves as a better fundamental variable, especially for segmented housing markets like that of Singapore. These price trends provide policy-makers with useful information to intervene into property markets to achieve desirable outcomes. Analysing Singapore data using this methodology shows the magnitudes of the price gaps between actual and fundamental prices and how housing affordability fluctuates over price cycles.     

The multi-market analysis of a housing price transmission model

In this article, we examine dynamic relationships among housing prices from four first-tier cities in China from December 2000 to May 2010 and present an equilibrium model of housing price in multi-markets. By explicitly incorporating and modelling endogenous price series in competing housing markets, our empirical model is able to capture the existence of long-run equilibrium relationships and important short-run dynamics and price structures such as price leadership, price transmission lag and asymmetric price responses. Such multi-market analysis has generalized implications and can easily be applied to analyse the pricing dynamics among other real estate markets in the world. Our major contribution lies in two aspects. First, we employ an Error-Correction Model (ECM) with Directed Acyclic Graphs (DAG) to study the price dynamics in the four largest and key housing markets in China. Second, we uncover a price transmission among these housing markets in China and provide an insightful understanding of price adjustment across markets. The revealed effective price transmission and high correlation among these different markets actually is not a good thing for a stable financial system and for the defence against price bubbles in the housing market.     

Fractional integration and cointegration in merger and acquisitions in the US petroleum industry

This article employs methodologies based on fractional integration and cointegration to analyse the time-series properties of merger and acquisitions (M&A) activity and crude oil prices in the US from 1980 to 2012. Our results indicate that an increase in the crude oil price produces a significant increase in the M&A data between 2 and 3 months after the initial shock.     

Domestic market integration and the law of one price in Brazil

This article presents the first assessment of domestic market integration in Brazil using the law of one price. The law of one price is tested using two panel unit root methodologies and a unique data set comprising price indices for 51 products across 11 metro-areas. We find that the law holds for most tradable products and, not surprisingly, nontradable products are found to be less likely to satisfy the law of one price. While these findings are consistent with evidence found for other countries, price convergence occurs very slowly in Brazil, suggesting relatively limited domestic market integration.     

A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques

This study seeks to test for inflation persistence in Nigeria using the recently developed fractional cointegration VAR model by Johansen and Nielsen (2012) and complemented with univariate fractional integration techniques. The empirical results suggest evidence of high inflation persistence in Nigeria albeit with a lower trend after the global financial crisis. Also, the major classes of inflation – headline, core and food inflation rates, share long run properties regardless of the sample used. This suggests that any policy action directed at a particular class of inflation will have a spill-over effect on the other classes given the strong association among them. The ability to also exploit the fractional cointegration in a multivariate set-up when modeling inflation is a major contribution of this study and ignoring same may lead to wrong conclusions. However, the results are sensitive to the choice of data frequency.     

Long memory and level shifts: Re-analyzing inflation rates

A key application of long memory time series models concerns inflation. Long memory implies that shocks have a long-lasting effect. It may however be that empirical evidence for long memory is caused by neglecting one or more level shifts. Since such level shifts are not unlikely for inflation, where the shifts may be caused by sudden oil price shocks, we examine whether evidence for long memory (indicated by the relevance of an ARFIMA model) in G7 inflation rates is spurious or exaggerated. Our main findings are that apparent long memory is quite resistant to level shifts, although for a few inflation rates we find that evidence for long memory disappears. First version received: March 1998/final version received: October 1998     

基于特征价格的城市交通对房价影响分析

因城市交通的改善能明显改变周边物业的可达性和用地性质,促进土地开发强度,带来周边房地产价值的上涨。因而文章从房地产市场中消费者的角度,讨论了城市交通成本的影响因素,在此基础上构建城市交通成本与房地产价格相互影响的特征价格模型,并从理论上对模型提出了验证方法,最后以重庆市的交通为例进行了实证分析。     

An investigation of regime shifts in UK commercial property returns: a time series analysis

The random-walk hypothesis, vis-à-vis asset price, suggests that prices traded in a market cannot be predicted based on historical information. Employing unsecuritized UK commercial property returns, we analyse this hypothesis by investigating regime shifts or multiple changes in persistence in the series. Our results uncover regime shifts in both the aggregate and sector-specific data. Specifically, the shifts are less frequent in the Industrial sector, compared to the Office, Retail and Aggregate returns data. We highlight some implications for academics, practitioners and regulators.     

Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes

Housing price-to-income and price-to-rent ratios are among the most widely monitored indicators of housing market conditions. While these ratios tend to fluctuate around a constant level or a mild trend over the long term, they also tend to deviate from these benchmarks for protracted periods. Traditional unit root tests often indicate the presence of a unit root. This article uses the framework of fractional integration to test the persistence of price-to-income and price-to-rent ratios in a sample of 16 OECD countries spanning four decades. The results indicate that the ratios are highly persistent. The possibility that persistence estimates may be affected by structural breaks in the series is also considered, but evidence of such breaks is found only in a very limited number of cases. Policy action may be required if high price-to-income and price-to-rent ratios have adverse social and economic consequences. Policies should be guided by a careful analysis of the factors behind high ratios.     

Long memory and mean reversion in real exchange rates in Latin America

This article examines the long-run Purchasing Power Parity (PPP) hypothesis for 12 Latin American Real Effective Exchange Rates (REERs) using fractional integration techniques. The empirical results, applying parametric approaches, provide evidence of mean reversion in the REERs in the cases of Nicaragua, Belize, Costa Rica, Guyana and Paraguay and lack of it for the remaining seven countries. Employing semiparametric methods, the evidence of mean reversion covers the following countries: Belize, the Dominican Republic, Ecuador and Mexico. Thus, only for Belize and Guyana do we obtain consistent evidence of mean reversion in the real exchange rates. At the other extreme, lack of mean reversion, and thus, lack of PPP, is obtained with both methods in Bolivia, Brazil, Colombia and Venezuela. For the remaining six countries, the results are ambiguous. The results for the PPP theory in Belize and Guyana may show the importance of promoting policies based on exchange rate flexibility and economic liberalization to reach a long-run stability scenario that leads to greater international competitiveness and lower external vulnerability.     

The external cost of asbestos in the housing market

This study uses a Generalized Method of Moments spatial error hedonic model to estimate the potential impact of asbestos on residential property prices. The analysis examines a large sample of 32,403 housing sales occurring between 2008 and 2015 in a fast-growing Coastal Alabama region. Results indicate the presence of asbestos depreciates house values by 13.44%, translating into an external cost of approximately $25,300 per property.     

Structural transformation and the oil price

What part of the high oil price can be explained by structural transformation in the developing world? Will continued structural transformation in these countries result in a permanently higher oil price? To address these issues I identify an inverted-U shaped relationship in the data between aggregate oil intensity and the extent of structural transformation: countries in the middle stages of transition spend the highest fraction of their income on oil. I construct and calibrate a multi-sector, multi-country, general equilibrium growth model that accounts for this fact by generating an endogenously falling aggregate elasticity of substitution between oil and non-oil inputs. The model is used to measure and isolate the impact of changing sectoral composition in the developing world on global oil demand and the oil price in the OECD. I find that structural transformation in non-OECD countries accounts for up to 53% of the oil price increase in the OECD between 1970 and 2010. However, the impact of structural transformation is temporary. Continued structural transformation induces falling oil intensity and an easing of the upward pressure on the oil price. Since a standard one-sector growth model misses this non-linearity, to understand the impact of growth on the oil price, it is necessary to take a more disaggregated view than is standard in macroeconomics.     

Endogenous fixprices and sticky price adjustment of risk-averse firms

A risk-averse price-setting firm which knows the quantity demanded at the status quo price but has imperfect information otherwise may choose not to change it although an otherwise identical risk-neutral firm would do so, provided the variance of the firm's subjective probability distribution over quantities demanded as a function of price displays a kink at the status quo. This is equivalent to risk aversion of order one. When no such endogenous fixprice exists, the size of price adjustment still tends to zero as risk aversion tends to infinity, and to any arbitrarily small menu cost there exists a degree of risk aversion so that the firm will not adjust.     

An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain

The paper examines Granger-causality between the producers' and the consumers' price using Australian data within the frequency domain framework. For long run relation, the Johansen and Juselius (1990) maximum likelihood approach to cointegration was utilized. The test is also supplemented by the Breitung and Candelon (2006) and Lemmens et al. (2008) method. The quarterly data for the study covers 1969q3 to 2010q4. The findings suggest that consumers' price Granger-causes producers' price at an intermediate level of frequencies reflecting medium-run cycles, whereas producers' price does not Granger-cause consumers' price at any level of frequencies. Our study shows that consumers' price is a leading indicator of producers' price. Given that producers' price is used in making various macroeconomic indicators in real terms, the findings should help the Australian policymakers to gain control over the factors that affect consumers' price. The major contribution of the paper is to demonstrate unidirectional causality from consumers' price to the producers' price. Specifically, results show that consumers' price in Australian may have a significant predictive content in how the producers' price evolve. Furthermore, the application of the Breitung and Candelon (2006) and Lemmens et al. (2008) methodology in testing the Granger-causality in frequency domain is also relatively new.     

Market integration in Russia during the transformation years*

A cross‐sectional relationship among Russian regions between price dispersion and per capita income dispersion is used to measure the degree of integration between regional commodity markets. The sequence of cross‐sectional estimations for each month of the period spanning 1992 through 2000 provides the temporal pattern of market integration in Russia, yielding an integration trajectory. The regional fragmentation of the national market increased during the early years of transition but integration has subsequently tended to improve notwithstanding occasional deviations from this trend.     

Vertical price transmission in the Egyptian tomato sector after the Arab Spring

This study assesses price transmission along the Egyptian tomato food marketing chain in the period that followed the Arab Spring, which accentuated economic precariousness in Egypt. Static and time-varying copula methods are used for this purpose. Results suggest a positive link between producer, wholesaler and retailer tomato prices. Such positive dependence is characterized by asymmetries during extreme market events that lead price increases to be transferred more completely along the supply chain than price declines.     

The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US

This article provides out-of-sample forecasts of linear and nonlinear models of US and four Census subregions’ housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts, of the housing price distributions. The nonlinear smooth-transition autoregressive model outperforms the linear autoregressive model in point forecasts at longer horizons, but the linear autoregressive and nonlinear smooth-transition autoregressive models perform equally at short horizons. In addition, we generally do not find major differences in performance for the interval and density forecasts between the linear and nonlinear models. Finally, in a dynamic 25-step ex-ante and interval forecasting design, we, once again, do not find major differences between the linear and nonlinear models. In sum, we conclude that when forecasting regional housing prices in the United States, generally the additional costs associated with nonlinear forecasts outweigh the benefits for forecasts only a few months into the future.     

Nonlinear integration of London and Amsterdam stock markets in the 1700s

The financial markets in London and Amsterdam were some of the first to develop. Using threshold autoregressive models, we use data on two commonly traded stocks in these cities to show that the joint behaviour of the prices is consistent with the theory of arbitrage in the presence of transportation costs. The results suggest that prices converged more quickly as the price difference between the two markets increased. We also show that the threshold estimates are consistent between assets and across time. These results provide some of the earliest evidence of nonlinear mean reversion in asset prices in geographically separate financial markets.