Joaquin L. Vespignani

A New Monthly Indicator of Global Real Economic Activity

In modelling macroeconomic time series, often a monthly indicator of global real economic activity is used. We propose a new indicator, named World steel production, and compare it to other existing indicators, precisely the Kilian’s index of global real economic activity and the index of OECD World industrial production. We develop an econometric approach based on desirable econometric properties in relation to the quarterly measure of World or global gross domestic product to evaluate and to choose across different alternatives. The method is designed to evaluate short-term, long-term and predictability properties of the indicators. World steel production is proven to be the best monthly indicator of global economic activity in terms of our econometric properties. Kilian’s index of global real economic activity also accurately predicts World GDP growth rates. When extending the analysis to an out-of-sample exercise, both Kilian’s index of global real economic activity and the World steel production produce accurate forecasts for World GDP, confirming evidence provided by the econometric properties. Specifically, a forecast combination of the three indices produces statistically significant gains up to 40% at nowcast and more than 10% at longer horizons relative to an autoregressive benchmark.

Oil prices and the economy: A global perspective

In this paper we introduce a global factor-augmented error correction model to quantify the interaction of oil price with the global economy. Global factors are constructed for global oil price and global interest rate, money, real output and inflation over 1999-2012. The global factors are constructed to capture developments in the largest developing and developed economies. At global level the quantity theory of money operates in the sense that global money, output and prices are cointegrated. Positive innovation in global oil price is connected with global interest rate tightening. Positive innovation in global money, CPI and outputs is connected with increase in oil prices while positive innovations in global interest rate are associated with decline in oil prices. The US, Euro area and China variables are the main drivers of global factors. Granger causality test shows that US and China variables Granger cause global interest rate, money, output and prices.

What Drives the Global Interest Rate

In this paper we study the drivers of global interest rate. Global interest rate is defined as a principal component for the largest developed and developing economies’ discount rates (the US, Japan, China, Euro area and India). A structural global factor-augmented error correction model is estimated. A structural change in the global macroeconomic relationships is found over 2008:09-2008:12, but not pre or post this GFC period. Results indicate that around 46% of movement in central bank interest rates is attributed to changes in global monetary aggregates (15%), oil prices (13%), global output (11%) and global prices (7%). Increases in global interest rates are associated with reductions in global prices and oil prices, increases in trade-weighted value of the US dollar, and eventually to reduce global output. Increases in oil prices are linked with increase in global inflation and global output leading to global interest rate tightening indicated by increases in central bank overnight lending rates.

Understanding the deviation of Australian policy rate from the Taylor rule

ABSTRACT This investigation aims to explain and quantify the deviations of the Australian policy rate (set by Reserve Bank of Australia) from the Taylor Rule. A three-step econometric procedure designed to reflect the data-rich environment in which central banks operate is proposed using information for 229 macroeconomic series. This procedure can be applied to data for any economy with inflation targeting monetary rule. Our application with Australian data shows that approximately 65% of Australia’s policy rate deviation from the Taylor Rule can be explained systematically, with international factors and a domestic factor accounting for 41.9% and 22.5%, respectively, of the total variation in deviation from the rule.

Global commodity prices and global stock volatility shocks: Effects across countries

This paper investigates the time-varying dynamics of global stock volatility, commodity prices, and domestic output and consumer prices. The main empirical findings of this papers are: (i) stock volatility and commodity price shocks impact each other and the economy in a gradual and endogenous adjustment process; (ii) the impact of a commodity price shock on global stock volatility is far greater during the global financial crisis than at other times; (iii) the effects of global stock volatility on the US output are amplified by the endogenous commodity price responses; (iv) in the long run, shocks to commodity prices (stock market volatility) account for 11.9% (6.6%) and 25.1% (11.6%) of the variation in US output and consumer prices; (v) the effects of global stock volatility shocks on the economy are heterogeneous across nations and relatively larger in the developed countries.

World steel production: a new monthly indicator of global real economic activity

In this paper we propose a new indicator of monthly global real economic activity, named world steel production. We use world steel production, OECD industrial production index and Kilian’s rea index to forecast world real GDP, and key commodity prices. We find that world steel production generates large statistically significant gains in forecasting world real GDP and oil prices, relative to an autoregressive benchmark. A forecast combination of the three indices produces statistically significant gains in forecasting world real GDP, oil, natural gas, gold and fertilizer prices, relative to an autoregressive benchmark.

Global Commodity Prices and Global Stock Volatility Shocks: Effects across Countries

This paper investigates the time-varying dynamics of global stock volatility, commodity prices, and domestic output and consumer prices. The main empirical findings of this paper are: (i) stock volatility and commodity price shocks impact each other and the economy in a gradual and endogenous adjustment process; (ii) the impact of a commodity price shock on global stock volatility is far greater during the global financial crisis than at other times; (iii) the effects of global stock volatility on the US output are amplified by the endogenous commodity price responses; (iv) in the long run, shocks to commodity prices (stock market volatility) account for 11.9% (6.6%) and 25.1% (11.6%) of the variation in US output and consumer prices; (v) the effects of global stock volatility shocks on the economy are heterogeneous across nations and relatively larger in the developed countries; (vi) developing/small economies are relatively more vulnerable upon commodity price shocks.

Trade uncertainty and income inequality

This paper examines the relationship between trade uncertainty and income inequality. In countries where only a small share of the population is educated, an increase in trade uncertainty is associated with a significant increase in income inequality. As education of the population increases the relationship between trade uncertainty and income inequality becomes more muted. Trade uncertainty has no significant effect on income inequality in countries that are world leaders in education. Developing countries that want to reduce income inequality arising from trade uncertainty should therefore consider further improving their education system.

Oil Price Shocks and Policy Uncertainty: New Evidence on the Effects of US and non-US Oil Production

Important interaction has been established for US economic policy uncertainty with a number of economic and financial variables including oil prices. This paper examines the dynamic effects of US and non-US oil production shocks on economic policy uncertainty using a structural VAR model. Such an examination is motivated by the substantial increases in US oil production in recent years with implications for US political and economic security. Positive innovations in US oil production are associated with decreases in US economic policy uncertainty. The economic forecast interquartile ranges about the US CPI and about federal/state/local government expenditures are particularly sensitive to innovations in US oil supply shocks. Shocks to US oil supply disruption causes rises in the CPI forecast uncertainty and accounts for 21% of the overall variation of the CPI forecaster disagreement. Dis-aggregation of oil production shocks into US and non-US oil production yield novel results. Oil supply shocks identified by US and non-US origins explain as much of the variatio in economic policy uncertainty as structural shocks on the demand side of the oil market.

The impact of global uncertainty on the global economy, and large developed and developing economies

Global uncertainty shocks are associated with a sharp decline in global inflation, global growth and in the global interest rate. Over 1981 to 2014 global financial uncertainty forecasts 18.26% and 14.95% of the variation in global growth and global inflation respectively. Global uncertainty shocks have more protracted, statistically significant and substantial effects on global growth, inflation and interest rate than U.S. uncertainty shocks. U.S. uncertainty lags global uncertainty by one month. When controlling for domestic uncertainty, the decline in output following a rise in global uncertainty is statistically significant in each country, with the exception of the decline for China. The effects for the U.S. and for China are also relatively small. For most economies, a positive shock to global uncertainty has a depressing effect on prices and official interest rates. Exceptions are Brazil, Mexico and Russia, economies with large capital outflows during financial crises. Decomposition of global uncertainty shocks shows that global financial uncertainty shocks are more important than non-financial shocks.