货币供给、通货膨胀和粮食价格波动互动关系研究

在VAR模型和方差分解基础上,利用1997年以来的月度数据,分析货币供应量、通货膨胀和粮食价格之间的关系。结果显示：通货膨胀对粮食价格有显著影响,存在货币供应量、通货膨胀到粮食价格变动这一传导途径,同时发现通货膨胀有较强的自身惯性,通过抑制粮食价格来控制通货膨胀是无效的。     

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.     

Market volatility and the dynamic hedging of multi-commodity price risk

Commodity cash and futures prices experienced a severe boom-and-bust cycle between 2006 and 2009. Increases in commodity price volatility have raised concerns about the usefulness of commodity futures and options as risk management tools. Dynamic hedging strategies have the potential to improve risk management when conditional (co)variances depart significantly from their unconditional, long-run counterparts and may be useful to decision-makers despite their greater complexity and higher transaction costs. We propose a Nonparametric Copula-based Generalized Autoregressive Conditional Heteroscedastic (NPC-GARCH) approach to estimate time-varying hedge ratios, and evaluate the benefits of dynamic hedging during four sub-periods between 2000 and 2011 using a stylized Texas cattle feedlot management problem. The NPC-GARCH approach allows for a flexible, nonlinear and asymmetric dependence structure between cash and futures prices for different commodities. We find that NPC-GARCH dynamic hedging performs better than either static, GARCH-Dynamic Conditional Correlation (DCC) or GARCH-Baba, Engle, Kraft and Kroner (BEKK) hedging in terms of lower tail risk (expected shortfall), but that there is no significant difference between hedging approaches in terms of portfolio variance reduction.     

Volatility and stock price indexes

The stochastic approach to index numbers has been successfully applied to the estimation of inflation, the world interest rate and international competitiveness.?One distinct advantage of this approach is that it provides the whole distribution of the index, not simply one value. In this article, we extend the stochastic approach to the estimation of a stock market index. We demonstrate how this approach can be used to identify ‘redundant stocks’ that do not contribute significantly to the overall index.?For index tracking purposes, these stocks can be safely excluded.     

The effects of oil price shocks on expenditure category CPI

In this study, we apply a two-block structural vector autoregressive (VAR) model proposed by Kilian and Park (2009) in order to investigate the dynamic effects of changes in oil price on the expenditure category consumer price index (CPI) in the United States and Japan. Our results confirm that each expenditure category price index responded very differently to the same structural shock, and that whether changes in oil price function as a positive stimulus or a negative shock for the individual expenditure category prices also depends on the kind of underlying shock that drives the changes in oil price. Finally, our results also reveal that the manner in which changes in oil price affect each expenditure category price differs between the United States and Japan and these detailed-level differences may lead to aggregate-level differences in the price response of both countries to changes in oil price.     

Price convergence in US cities: a cointegration approach with two structural breaks

This article investigates how the price indices of major cities of the US respond to the shock from a city and from monetary policy. We find that the crisis of Bretton Woods system in 1968 and the oil crisis in 1974 should be incorporated as structural breaks in monetary policy variables and price indices. Using cointegration technique with structural break in our aggregated data, we find that the average half-life is 1.75 years, which is closer to what some of others found in disaggregated data, and that the interest rate is an effective tool for controlling cities’ price in short run.     

Does the law of one price hold in a high-inflation environment? A tale of two cities in Turkey

This study addresses the price convergence in two cities in Turkey (Istanbul and Ankara) using annual data over the three-quarters of the twentieth century (1922–1998), characterized by prevailing high inflation rates for most of the period. In contrast to the rest of the literature addressing convergence in price levels with a typical result of extremely slow convergence rates at best, we argue that convergence is much easier detected in growth rates rather than levels of prices. We suggest using the bounds testing procedure of Pesaran et al. (2001) for this purpose. We find a clear-cut evidence on the existence of a common driving force behind inflation dynamics in Istanbul and Ankara – a finding that is in contrast with the results typically reported in related literature.     

Long memory and fractional integration in the housing price series of London and Paris

This article deals with the analysis of house price indexes from a long-range dependence viewpoint. In particular, it estimates the fractional differencing parameter in the London and Paris house price series recognizing in some cases the potential seasonality and allowing for breaks in the data. Moreover, it analyses the stability of the parameters across the sample period examined. It is concluded that the series are nonstationary but mean reverting in some cases and very persistent in others. Policy implications are derived.     

The effects of domestic rice market interventions outside business-as-usual conditions for imported rice prices

The Philippine government intervenes in the domestic rice market through the imposition of import tariffs and the provision of producer and consumer subsidies. While policymakers are aware that these programmes come with allocative efficiency costs, they justify the programmes on the grounds that they insulate the domestic economy from unexpected price spikes in the international rice market. An interesting matter for policy evaluation is to quantify the insulation benefit that the programmes provide in circumstances of sudden severe import price spikes. To examine this question, we undertake a dynamic computable general equilibrium (CGE) simulation in which the Philippines is subject to an external rice price shock. We find that the insulation benefit of the support programmes under a 2008-like event is worth approximately 0.10% of real consumption. However, the cost of insuring against these price spikes is significant. We estimate the annual cost of the rice market interventions at approximately 0.40% of real consumption.     

Economic structure and factor payments

There is a growing body of evidence that the labour payment share in national income varies across countries and over time, suggesting that the popular aggregate Cobb–Douglas production function may not capture income share dynamics. There remains conflicting evidence on the importance of natural resource rents among low income economies and on estimates of the rate of return to produced capital. This paper focuses on the structural differences among countries, confirming the importance of the agriculture sector in estimates of labour and land’s share of factor income based on 81 countries at diverse levels of economic development in the year 2005. I find that cross-country data are best modelled by a CES production function with an elasticity of substitution of 0.8 and that many low income countries have a higher return to capital than the United States.