Noisy chaotic dynamics in commodity markets

The nonlinear testing and modeling of economic and financial time series has increased substantially in recent years, enabling us to better understand market and price behavior, risk and the formation of expectations. Such tests have also been applied to commodity market behavior, providing evidence of heteroskedasticity, chaos, long memory, cyclicity, etc. The present evaluation of futures price behavior confirms that the resulting price movements can be random, suggesting noisy chaotic behavior. Prices could thus follow a mean process that is dynamic chaotic, coupled with a variance that follows a GARCH process. Our conclusion is that models of this type could be constructed to assist in forecasting prices in the short run but not over long run time periods.First version received: June 2001/Final version received: March 2003     

Low interest rate policy and the use of reserve requirements in emerging markets

This paper sheds light on the link between the interest rate policy in large advanced economies with international funding and reserve currencies (the United States and the euro area) and the use of reserve requirements in emerging markets. Using reserve requirement data for 28 emerging markets from 1998 to 2012, we provide evidence that emerging market central banks tend to raise reserve requirements when interest rates in international funding markets decline or financial inflows accelerate, most likely to preserve financial stability. In contrast, when global liquidity risk rises and funding from the large advanced economies dries up, emerging markets lower reserve requirements.     

The relationship between developed equity markets and the Pacific Basin's emerging equity markets

Using a trivariate vector autoregression (VAR) model with a proper control for heteroscedasticity, this paper investigates the relationships between the two largest equity markets in the world—the U.S. and Japan—and the four Asian emerging equity markets: Hong Kong, Korea, Singapore, and Taiwan. Evidence indicates that the links between the developed markets and the Asian emerging markets (AEMs) began to increase after the stock market crash in October 1987, and have significantly intensified since the outbreak of the Asian financial crisis in July 1997.     

Commodity futures contracts: Furnishing an elastic currency in the nineteenth century

In this paper, I show that nineteenth century US interest rates are relatively more volatile before 1874 and I propose, and demonstrate how, commodity futures trading is the likely principal proximate explanation for this change in behavior. Borrowing from Turnovsky [Econometrica 51 (1983) 1363], I model the optimizing behaviors of risk averse producers and risk neutral speculators in the absence and presence of futures contracts and I show that, so long as one party to a futures contract was risk averse, futures markets would have quelled interest rate volatility caused by variations in planting and harvesting conditions.     

Intra-metropolitan shifts in labor demand and the adjustment of local markets

I offer new evidence on the adjustment of local labor markets to geographic shifts in labor demand within US metropolitan areas using a unique data set in which metropolitan subregions are geographically matched across the 1970–1980 and 1980–1990 decades. The evidence uncovered paints the following picture. Workers, especially those with less education, make incomplete adjustments within metropolitan areas in response to intra-metropolitan demand shifts. Although blacks may not make especially limited adjustments, they have disproportionately suffered deleterious effects from job movements because the demand shifts have tended to be away from their places of residence.     

What drives racial segregation? New evidence using Census microdata

Using restricted Census microdata that link households to the Census block in which they live, this paper re-examines the question of whether racial differences in sociodemographic characteristics can explain observed levels of racial segregation. We develop a simple measurement framework designed to make use of the rich joint distribution of individual and neighborhood characteristics that these data provide, analyzing segregation patterns in the San Francisco Bay Area. The results indicate that racial differences in the collective set of characteristics we consider do have the potential to explain a considerable amount of the observed segregation, although more so for Asians and especially Hispanics than whites and blacks. Different sociodemographic factors emerge as potentially important for each race.     

Recent topics in Applied Financial Economics

This note discusses topics concerning recent evolutions in financial economics research. It focuses in particular on the progress of quantitative finance and applied economics in the context of the global financial crisis. To this end, I examine various important topics in Economics and Finance and discuss several empirical studies on the statistical properties of macroeconomic and financial data through the application of different econometric methodologies. I analyse their empirical findings and discuss their conclusions.     

经济全球化背景下国家矿产资源安全研究——基于自由贸易理论及我国当前贸易结构和贸易形势的考量

矿产资源贸易出于需求,而表现为价格差异导致.伴随经济全球化过程,掩盖在自由贸易体制下世界各主要工业国对矿产资源的争夺,是矿产资源在世界范围内配置的实质.获得商品定价权是取得矿产资源贸易有利地位的关键,从而提高本国矿产资源的安全程度.本文基于自由贸易理论,结合我国当前的贸易结构和贸易形势,研究我国矿产资源安全的现状,进而对确保矿产资源安全提出相应的对策建议.     

Combining forecasts: An application to elections

We summarize the literature on the effectiveness of combining forecasts by assessing the conditions under which combining is most valuable. Using data on the six US presidential elections from 1992 to 2012, we report the reductions in error obtained by averaging forecasts within and across four election forecasting methods: poll projections, expert judgment, quantitative models, and the Iowa Electronic Markets. Across the six elections, the resulting combined forecasts were more accurate than any individual component method, on average. The gains in accuracy from combining increased with the numbers of forecasts used, especially when these forecasts were based on different methods and different data, and in situations involving high levels of uncertainty. Such combining yielded error reductions of between 16% and 59%, compared to the average errors of the individual forecasts. This improvement is substantially greater than the 12% reduction in error that had been reported previously for combining forecasts.     

W. H. Hutt (1899–1988): Free Markets and Social Justice

W.H. Hutt reaffirmed the principles of classical economics and classical liberalism and, by applying them to urgent issues he observed in the world around him, he demonstrated the contemporary relevance of freedom and competitive institutions. A wide‐ranging critique of Keynes was founded upon a classical analysis of the labour market, while his trenchant opposition to apartheid advanced along economic and political paths. Hutt questioned the justice of the accumulation of wealth from the exploitation of monopoly power over generations. In all of these respects there are affinities between Hutt's thought and that of ‘Bleeding Heart Libertarians’.