LINKAGES BETWEEN EXCHANGE RATE POLICY AND MACROECONOMIC PERFORMANCE

Using a sample of 104 countries, we study macroeconomic performance from 1973 to 2007. We examine GDP growth, inflation rate, growth volatility and inflation volatility, and their response to a ‘words versus deeds’ measure of exchange‐rate policy, which is obtained by interacting a country's de jure and its de facto policy. For non‐industrialized countries, the highest growth rates and the lowest inflation volatility are associated with countries that pursue fear of floating policy, whereas countries that pursue a matched float policy (de jure and de facto floating) have the highest inflation rates but the lowest GDP volatility.     

Gross domestic product growth,volatility and regime changes nexus: the case of Portugal

This paper provides evidence of the behavior of GDP growth volatility in Portugal over the period from 1961 to 2016 with the main objective of measuring the degree of asymmetry of GDP growth rates volatility across the business cycles and its persistence over time. The methodological setting benefits from the most recent developments that recommend the consideration of structural changes in both the mean and variance and asymmetric reactions of volatility to positive and negative shocks. The results document structural changes and significant reductions of GDP growth rates volatility consistent with the “Great Moderation” phenomenon and reveal that the impact of negative shocks on volatility exceeds that of positive shocks more than 4 times over the sample period. Moreover, these asymmetries follow a rather stable pattern over the sample period, suggesting that the Portuguese economy has not been able to reduce its growth vulnerability to cyclical fluctuations.     

Determinants of housing price volatility in Canada: a dynamic analysis

This article tries to identify the determinants of housing price volatility and to examine the dynamic effects of these determinants on volatility using quarterly data for Canada. The Generalized Autoregressive Conditional Heteroskedastic (GARCH) and the Vector Autoregressive (VAR) models have been employed to analyse possible time variation of the housing price volatility and the interactions between the volatility and the key macroeconomic variables. We find the evidence of time varying housing price volatility for Canada. Our VAR, Granger causality and variance decomposition (VDC) analyses demonstrate that housing price volatility is affected significantly by gross domestic product (GDP) growth rate, housing price appreciation rate and inflation. On the other hand, volatility affects GDP growth rate, housing price appreciation and volatility itself. The impulse response analysis reveals the asymmetric of the positive and negative shocks. The findings of this article have important implications, particularly for those seeking to develop derivatives for housing market prices.     

The decline in German output volatility: a Bayesian analysis

Using Bayesian methods, we analyze whether a volatility reduction as documented for growth of U.S. gross domestic product (GDP) in the mid-1980s can also be detected for German GDP growth. Our analysis is based on different time series models allowing for alternative characterizations of output stabilization. Across all models we find empirical evidence for a decline in the output volatility around 1993. Furthermore, we assess competing explanations for reduced output volatility. Our empirical results suggest that the main source for the volatility reduction is an ongoing structural shift accelerated by the German reunification and accompanied by changes in the correlation structure between individual GDP components.     

Macroeconomic Volatility and the Current Account: Evidence from a Panel of OECD Countries

ABSTRACT

This paper investigates the relationship between macroeconomic volatility and the current account. Using quarterly data for a panel of OECD economies, time-varying relative volatility measures are constructed for GDP, net output, and government consumption. The empirical evidence suggests that current account balances are positively affected by all three volatility measures. Moreover, the current account balance is found to be related positively to output growth and negatively to the growth of government consumption. Evidence from saving and investment rates also suggests that the precautionary saving motive is part of (though perhaps not the entire) mechanism that relates output volatility and the current account. Broadly consistent with the predictions of the standard theoretical model, these estimates are sizable, statistically significant, and robust.     

Output volatility in Australia

A number of papers have documented a significant decline in real GDP volatility in several major OECD economies. Some authors have presented evidence to suggest that this is the outcome of a one-off structural break from a high to low volatility state whilst others have estimated regime switching models that indicate low volatility regime states have dominated in recent years. This article provides further evidence on the general properties of output volatility for Australia, including evidence of a significant moderation in output volatility for the country that occurred in the early 1980s. Estimates of various GARCH models of real GDP growth are also provided to further examine shorter term volatility features of the Australian economy that are associated with its business-cycle. A regime shift dummy is maintained in all models of the conditional variance in order to account for the regime shift in volatility and evidence is found of significant business-cycle effects, including leverage effects and asymmetries that suggest recessions are times of higher output volatility than economic expansions. Overall, it is concluded that the so-called ‘Great Moderation’ in macroeconomic instability, as documented here for Australia, is a result of a myriad of economic, institutional and policymaking changes.     

CROSS-COUNTRY EVIDENCE ON OUTPUT GROWTH VOLATILITY: NONSTATIONARY VARIANCE AND GARCH MODELS

This paper revisits the issue of conditional volatility in real gross domestic product (GDP) growth rates for Canada, Germany, Italy, Japan, the United Kingdom, and the United States. Previous studies find high persistence in the volatility. This paper shows that this finding largely reflects a nonstationary variance. Output growth in the six countries became noticeably less volatile over the past few decades. In this paper, we employ the modified iterated cumulative sum of squares (ICSS) algorithm to detect structural change in the variance of output growth. One structural break exists in each of the six countries after identifying outliers and mean shifts in the growth rates. We then use generalized autoregressive conditional heteroskedasticity (GARCH) specifications, modeling output growth and its volatility with and without the break in volatility. The evidence shows that the time-varying variance falls sharply in Canada and Japan, and disappears entirely in Germany, Italy, the United Kingdom and the United States, once we incorporate the break in the variance equation of output for the six countries. That is, the integrated GARCH (IGARCH) effect proves spurious and the GARCH model demonstrates misspecification, if researchers neglect a nonstationary variance. Moreover, we also consider the possible effects of our more correct measure of output volatility on output growth as well as the reverse effect of output growth on its volatility. The conditional standard deviation possesses no statistical significance in all countries, except a significant negative effect in Japan. The lagged growth rate of output produces significant negative and positive effects on the conditional variances in Germany and Japan, respectively. No significant effects exist in Canada, Italy, the United Kingdom, and the United States.     

International Spillovers of Output Growth and Output Growth Volatility: Evidence from the G7

This paper examines the transmission of GDP growth and GDP growth volatility among the G7 countries over the period 1960Q1 – 2010Q4, using a multivariate GARCH model and volatility impulse response functions (VIRFs) to identify the source, magnitude and the duration of volatility spillovers. Results indicate the presence of positive own-country GDP growth spillovers in each country and cross-country GDP growth spillovers among most of the G7 countries. In addition, the large number of significant own-country output growth volatility spillovers and cross-country output growth volatility spillovers indicates that output growth shocks in most of the G7 countries affect output growth volatility in the other remaining countries. An additional finding is that the duration of output growth volatility spillovers has increased over time from some seven quarters in the 1970s to some ten quarters during the recent crisis, which is likely to be due to the increased integration of goods and financial markets.     

Fiscal Convergence, Business Cycle Volatility, and Growth

This paper analyzes the effects of fiscal convergence on business cycle volatility and growth. Using a panel of 11 EMU and 21 OECD countries and 40 years of data, we find that countries with similar government budget positions tend to have smoother business cycles. That is, fiscal convergence (in the form of persistently similar ratios of government surplus/deficit to GDP) is systematically associated with smoother business cycles. We also find evidence that reduced business cycle volatility through higher fiscal convergence stimulates growth. Our empirical results are economically and statistically significant, and robust.     

Fiscal policy and asset price volatility

This paper investigates the relationship between volatility of different asset prices and the volatility of various indicators of fiscal policy (primary balance, spending and revenue). We find evidence that asset price volatility affects the volatility of fiscal policy stance in a positive and significant way. The effect comes primarily through residential property and equity price volatility on government revenue and spending. Increased volatility in commercial property prices is associated with increased variability of government revenue. Output growth volatility is the dominant determinant of revenue and primary balance variability, whereas bad budgetary conditions and the size of the public sector are the most significant determinants of spending variability. Trade openness leads to greater variability of government spending, revenue and primary balance to GDP ratios.     

OUTPUT GROWTH AND STRUCTURAL REFORM IN LATIN AMERICA: HAVE BUSINESS CYCLES CHANGED?

This paper documents important changes in real gross domestic product (GDP) growth of six large Latin American countries. The main results can be summarized as follows. First, there is evidence of a structural break in real GDP toward stronger mean growth and a substantial reduction in volatility. Second, the timing of the breaks suggests that the important changes in economic policies of the 1980s and 1990s have been effective in permanently improving economic growth in the region. These changes in the growth processes imply recessions that are shorter in duration and milder in amplitude. The sustained increase in commodity prices observed in recent years explains an important share of growth in the region since 2003. But after accounting for the effect of commodity prices, there is even stronger evidence of a structural break in real GDP growth. (JEL E32)     

Terms of trade volatility,government spending cyclicality,and economic growth

This paper presents estimates of the effects that terms of trade volatility has on real gross domestic product (GDP) per capita growth. Based on 5‐year nonoverlapping panel data comprising 175 countries during 1980 to 2010, the paper finds that terms of trade volatility has significant negative effects on economic growth in countries with procyclical government spending. In countries where government spending is countercyclical, terms of trade volatility has no significant effect on growth. Conditional on the mediating role of government spending cyclicality, the GDP share of domestic credit to the private sector has no significant effect on the relationship between growth and terms of trade volatility.     

Level and dynamics of financial depth: consequences for volatility of GDP

The existing literature documents positive but potentially non-linear relationship between financial depth measured as private credit to GDP ratio and volatility of GDP. In this paper, we extend the analysis by considering also the role of financial depth dynamics. We use dynamic spatial panel models to address the issue of cross-sectional dependence of errors obtained from the standard dynamic panel models. We confirm the non-linear impact of the financial depth level but also find that higher growth rates of financial depth are significantly associated with higher volatility of output. The role of the latter factor is considerably more important in terms of explained variance compared to the impact of the private credit level. These results are robust to changes in the sample range, specification of the model, and measurement of the key variables. We also document considerable differences between the estimates obtained from the standard GMM and the spatial models.     

Dual equilibrium and growth cycle in Argentina

Argentina’s GDP growth cycle, tracing the high exchange rate volatility in 1970–2008, is discussed. Growth depends on foreign exchange availability. The country’s comparative advantage is in agriculture, but manufactured exports are grow faster. Two remarkably different PPP exchange rates coexist – one appropriate for agriculture and one for manufacturing – destabilising the market exchange rate. Thus, two unstable growth equilibria coexist generating GDP fluctuations. Currency devaluation sets the cycle’s ceiling and the end of devaluation sets the cycle’s floor. Chronic government deficits widen the cycle, harming institutions and decelerating growth. A land tax to finance rural investment would facilitate a high and stable exchange rate (AR$/US$) and convergence to the high growth equilibrium.     

The structural transformation between manufacturing and services and the decline in the US GDP volatility

I construct a two-sector growth model to study the effect of the structural transformation between manufacturing and services on the decline in GDP volatility in the US. In the model, a change in the relative size of the two sectors affects the transmission mechanism that relates sectoral TFP shocks to endogenous variables. I calibrate the model to the US and show that, for given stochastic sectoral TFP processes in manufacturing and services, structural change generates a decline in the volatility of both aggregate TFP and GDP, in the volatility of each broad component of GDP (manufacturing consumption, services consumption and investment) and in the volatility of labor. Numerical results suggest that the structural transformation can account for 28% of the reduction in the US GDP volatility between the periods 1960–1983 and 1984–2005.     

Political institutions and economic volatility

We examine the effect of political ‘institutions’ on economic growth volatility, using data from more than 100 countries over the period 1960 to 2005, taking into account various control variables as suggested in previous studies. Our indicator of volatility is the relative standard deviation of the growth rate of GDP per capita. The results of a dynamic panel model indicate that democracy reduces economic volatility. We also find that some dimensions of political instability and policy uncertainty increase economic volatility.     

Sovereign credit ratings,growth volatility and the global financial crisis

Using monthly data from January 1996 to May 2010 for a panel of 76 developed and emerging economies and adopting an instrumental variable (IV) estimation technique by correcting for both heterogeneity and endogeneity with the generalized two-stage least squares (G2SLS, EC2SLS) procedure method suggested by Balestra and Varadharajan-Krishnakumar (1987) and Baltagi and Li (1995), this article provides empirical evidence that volatility of per capita GDP growth is reduced when there are positive changes in credit ratings; in other words when sovereign credit risk improves. To deal with potential simultaneity between sovereign credit ratings and output volatility, a system (3SLS) approach is undertaken, and our findings remain robust. By weakening the volatility dampening effects of ratings changes, it is found that the global financial crisis (GFC) has enhanced macroeconomic volatility. One of the channels via which sovereign rating changes affect growth volatility is the financial markets’ repricing of sovereign default risk that is reflected in sovereign credit default swap (CDS) spreads and its volatility.     

Terms of trade and economic growth in Japan and Korea: an empirical analysis

This study examines the impact of terms of trade and terms of trade volatility on economic growth in Japan and Korea using time series data. The results of the Johansen (1988) cointegration method show that real gross domestic product (GDP) per capita and terms of trade are jointly determined. Generally, an increase in terms of trade volatility will lead to a decrease in real GDP per capita. An increase in oil price will lead to a decrease in terms of trade. The results of the generalised forecast error variance decompositions show that the important contributors to real GDP per capita are different between Japan and Korea. A favourable and a less volatile terms of trade are important for economic growth.     

Exploring GDP growth volatility spillovers across countries

This study takes a portfolio approach to investigate GDP growth volatility spillovers among 120 countries of the world during the 1960–2017 period. Based on the ratios of growth rate to standard deviation, we rank these countries in pools of high-, midsize-, and low-income growth. Using a spillover index that is based on variance decompositions under a vector autoregressive framework, we analyze the sources of growth volatility dynamics in the world in terms of volatility proportions from and to others. We find that high-income growth countries are net transmitters, while low-income growth countries are net recipients of growth volatility. We also find that it takes several years for low-income growth countries to absorb growth shocks of global nature. Overall, our analyses illustrate the importance of partnership in risk sharing as it is related to portfolio strategies and risk management.     

Long run time series tests of constant steady-state growth

We propose a new methodology to study the stability of steady-state growth. Long-run GDP per capita can be characterized by: (1) the linear trend hypothesis, where there are no long-run changes in GDP levels or growth rates, (2) the level shift hypothesis, where there are long-run level shifts, but not changes in growth rates, and (3) the growth shift hypothesis, where there are long-run changes in both GDP levels and growth rates. We formally test these hypotheses using time series techniques with over 139 years of data. The results are not favorable to the hypothesis of constant steady-state growth. While we find evidence supporting the linear trend hypothesis for the United States and Canada and the level shift hypothesis for three additional OECD countries, the growth shift hypothesis is supported for seven OECD and four Asian countries. The results are not driven by transition dynamics.