Has the EMS reduced member-country exchange rate volatility?

Using tests for unit roots, serial correlation, and conditional heteroskedasticity, we find that the stochastic structure of the percentage changes in both the Franc/DM and Lira/DM rates is well described by a low order autoregression with ARCH disturbances. While this assertion is not rejected in either the Pre-EMS or the EMS period, we present evidence indicating a structural shift between sub-periods. In particular, while ARCH is present in each sub-period, its explicit parameterization changes dramatically.Likelihood-ratio tests indicate the desirability of a bivariate analysis, and significant ARCH effects are found in the conditional variances and covariances over both subperiods. Likelihood ratio tests also indicate substantial structural change between the subperiods. The conditional variances of exchange rate innovations are used as natural measures of exchange rate volatility; it is found that volatility decreases substantially for both rates in the EMS period. Furthermore, the Franc shows a relatively greater volatility decrease with the move to the EMS, a result consistent with the narrower parity bands established for the Franc. Finally, the covariation of shocks to the two intra-EMS rates is shown to decrease between the Pre-EMS and EMS periods.     

THE EFFECTS OF ALTERNATIVE EXCHANGE RATE REGIMES ON REAL EXCHANGE RATE VOLATILITY: EVIDENCE BASED ON A NEW DATASET

Do alternative exchange rate regimes affect short‐term real exchange rate volatility differently? The existing empirical evidence is quite mixed with slightly more papers supporting that they do. We show that such lack of consensus is mainly due to current literature limitations regarding the measurement of real exchange rates (RERs), the identification of exchange rate regimes (ERRs), and the control for the incidence of real and nominal shocks. To address these limitations, we construct a novel monthly dataset for 63 countries over the period 1946–2007, which includes market‐determined multilateral RER and a proxy for terms of trade. We find that ERRs indeed affect short‐term real exchange rate volatility differently. While the evidence is generally consistent with Mussa's sticky prices argument, we find that for nonadvanced countries in post‐Bretton Woods there exists a “U‐shape nominal flexibility puzzle of RER.” We also find evidence of a “short‐run RER volatility puzzle.” Having controlled for the incidence of real and nominal shocks, nonadvanced countries' RER volatility remains between 25% and 150% greater than that of the advanced economies. Moreover, the key literature finding that short‐term RER volatility is higher in Bretton Woods (BW) than in post‐Bretton Woods (PBW) for industrialized countries vanishes when using market‐determined multilateral RER instead of official bilateral RER. (JEL F31, F33, F41)     

Determinants of land value volatility in the U.S. Corn Belt

ABSTRACT

Understanding land value volatility and its reaction to exogenous shocks helps land owners, investors, and lenders assess risk. Land value volatility, the variance of the unpredictable component of land value growth rates, is modelled for each of the Corn Belt states in the U.S. using EGARCH. A pooled VAR system is then estimated to capture the interactions between land value determinants and land value volatility. The variables of the pooled VAR are split into negative and positive vectors to allow for asymmetric impacts. Impulse response functions are mapped. All states exhibit land value volatility clustering. Inflation, cash rent and population growth rates granger cause land value volatility. Land value volatility responses to negative shocks are greater than those to positive shocks. Lenders and investors should expect greater swings in land values after negative shocks to land value growth rates, but not an overreaction of land values from shocks to cash rent growth rates. Positive shocks to changes in interest rates increases land value volatility, but unexpected shocks to population growth rates do not have statistically significant impact on land value volatility.     

Sources of employment fluctuations in Taiwan's industries and regions

This empirical study explores the sources of employment fluctuations in Taiwan's industries and regions over the period 1978 to 2004. The quarterly growth rates of employment in nine industries and four regions are modelled with a structural vector autoregression (VAR), and the employment shocks are measured by VAR residuals. The covariance matrix of the VAR residuals is decomposed using system estimation method that selects the parameters to make the error model close to the covariance matrix and, in turn, to estimate the relative importance of national as well as industry-specific and region-specific shocks. The empirical results show that industry-specific shocks account for the major fluctuations in industries and regions. On average, about 83.95% of an industry's cyclical variations and 56.28% of the volatility in a region may be attributed to industry-specific shocks. National shocks account for little employment volatility in industries. Only the finance and personal service industries are highly sensitive to national shocks.     

EXAMINING THE STABILITY OF OKUN'S COEFFICIENT

The stability of Okun's law coefficient in the United States from 1949 to 2015 is examined using a regression with GARCH errors in order to capture the volatility of the series. Rolling estimations suggest that taking the volatility of the series into account yields more stable results compared to the simple OLS estimation, irrespective of the specification (gap or growth model), the data frequency (monthly or quarterly), or the length of the rolling window. The results also suggest that the persistence of shocks became much more important in explaining contemporaneous volatility when data from the recent global financial crisis were incorporated. In contrast, the feedthrough of output shocks in next period's output volatility was more important in the past, and especially during the 1970s stagflation period, but has been declining since.     

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.     

The volatility of Australian traded goods’ prices

It is generally accepted that the Australian economy is continually subject to unanticipated shocks, particularly, unexpected swings in the prices of Australia's internationally- traded goods. This article empirically investigates the nature and extent of volatility in import and export prices faced by the Australian production sector. It estimates multivariate GARCH models of the stochastic processes generating the prices of imports and exports, and of important components of exports and imports. This article proposes an index of volatility, which is used to provide a summary measure of the extent of volatility in a multivariate context. The overall conclusion is that the price growth rates for Australia's traded goods exhibit considerable time variation in volatility and that these price growth rates are highly and positively correlated with each other.     

Diversification across ASEAN-wide sectoral and national equity returns

This paper examines the effects of local and global shocks on the sector indices and national returns of the Association of Southeast Asian Nations (ASEAN) by using the univariate AR-GARCH model. We find that regional and global shocks have different influences on the ASEAN-wide sector and national equity indices. There is evidence that the ASEAN-wide sectoral returns are mostly driven by local shocks, except for the insurance and technology sectors. The volatility of Singapore's and Vietnam's national returns mostly results from their own shocks rather than local and global shocks. Applying the trend spillover model, this paper also shows that the effects of regional and global shocks on return volatility have been decreasing for almost all ASEAN-wide sectors' equity indices, while the trend for the volatility spillover effects of those shocks are positive and significant for the production and industries group sectors, as well as the food and beverage sector. Comparing the variance ratios of ASEAN sectoral and national returns, it is evident that the percentage of national equity returns belonging to their own shocks is higher than that of sectoral returns, indicating that investors might be better off diversifying their assets across countries rather than sectors in ASEAN area. This finding is consistent with the results of the mean–variance frontiers, as the portfolio composed purely of ASEAN national returns has a stronger efficiency frontier than a portfolio of all ASEAN-wide sector equity returns. By using the spanning and intersection tests, the paper also indicates that adding ASEAN national equity returns might improve the efficiency frontiers of investors' holding portfolios.     

Modelling the FF/MM rate by threshold cointegration analysis

This paper investigates a sticky-price model of exchange rate determination: extension of Krugman's target zone model with price inertia applied to the French Franc. A novel theoretical argument is considered, Threshold Cointegration, such that the long-run relationship between the parity and its fundamentals is dormant within a certain range of disequilibria but is restored when the system crosses the boundaries. Over the period 1987–1993, nonlinearities in the FF/DM rate, consistent with the credibility of this target zone, were detected by pointing out a band-reversion mechanism. A shock persistence analysis which highlights a nonlinear reversion of the exchange-rate deviation is also implemented.     

Dynamic frequency connectedness between oil and natural gas volatilities

The goal of this paper is twofold. First, we study dynamic volatility connectedness between oil and natural gas over the period 1994 to 2018. Second, we examine the frequency dynamics of the transmission mechanism arising from frequency-specific responses to volatility shocks. To do so, we adopt a newly introduced approach that decomposes connectedness measures based on variance decompositions into their components at different frequency ranges. Our results summarize as follows: (a) there is a substantial variation in volatility spillovers over time; (b) the natural gas market was a net transmitter during the central part of our sample period; (c) the magnitude of spillovers was smaller after the financial crisis, but volatilities are not decoupled. (d) The volatility propagation mechanism is frequency dependent. Connectedness is typically created at low-frequencies, with volatility shocks across markets having long-lasting effects. However, during some specific periods, such as after Katrina, volatility was transmitted much faster, with shocks dissipating in the short-run.     

Macroeconomic Volatility during Argentina’s Import Substitution Stage

In this article, I analyze the characteristics and sources of macroeconomic volatility for the case of Argentina during the import substitution industrialization (ISI). This case is particularly relevant since Argentina has been one of the most extreme examples of macroeconomic volatility in the Latin American region. I estimated a small vector auto regression (VAR) to approximate the main dynamic features of the Argentine economy during the ISI: the balance of trade improving but the 'contractionary' effect of devaluation, and the short-run persistence of 'political-economic' switching regimes. Counterfactual experimentation showed the impossibility of reaching a complete economic stabilization during the historical period under analysis and the existence of sharp tradeoffs among the internal balance, the external balance and policy volatility. It also indicated that at least a half of the observed policy volatility could be attributed to exogenous shocks. These results suggest that the performance of the Argentine economy during the ISI could have been better under more rational policy management but, surprisingly, that the improvement would not be as large as one would expect.     

Exchange rate volatility and regime change: A Visegrad comparison

We analyze exchange rate volatility in the Visegrad Four countries during the period in which they abandoned tight regimes for more flexible ones. We account for path dependency, asymmetric shocks, and movements in interest rates. In addition, we allow for a generalized error distribution. The overall findings are that path-dependent volatility has a limited effect on exchange rate developments and that the introduction of floating regimes tends to increase exchange rate volatility. During the period of flexible regimes, volatility was mainly driven by surprises. Asymmetric effects of news tend to decrease volatility under the floating regime. Interest differentials impact exchange rate volatility contemporaneously under either regime, although we find no intertemporal effect of interest differentials. Journal of Comparative Economics 34 (4) (2006) 727–753.     

Why have business cycle fluctuations become less volatile?

This paper shows that a standard Real Business Cycle model driven by productivity shocks can successfully account for the 50% decline in cyclical volatility of output, its components, and labor input that has occurred since 1983. The model is successful because the volatility of productivity shocks has also declined significantly over the same time period. We then investigate whether the decline in the volatility of the Solow Residual is due to changes in the volatility of some other shock operating through a channel that is absent in the standard model. We therefore develop a model with variable capacity and labor utilization. We investigate whether government spending shocks, shocks that affect the household’s first order condition for labor, and shocks that affect the household’s first order condition for saving can plausibly account for the change in TFP volatility and in the volatility of output, its components, and labor. We find that none of these shocks are able to do this. This suggests that successfully accounting for the post-1983 decline in business cycle volatility requires a change in the volatility of a productivity-like shock operating within a standard growth model. We thank Stephen Parente, Ed Prescott, John Taylor, and two anonymous referees for helpful comments and suggestions.     

Financial illness and political virus: the case of contagious crises in the Eurozone

Abstract

This paper investigates the volatility spillover effects from the southern to northern part of the Eurozone during the sovereign debt crisis. Focusing on different phases of the crises, we propose using the dynamic conditional correlation model and the BEKK model to identify possible linkages during the period of 2005–2015. The findings showed that both models behave satisfactorily and are flexible in presenting spillover effects. However, regarding conditional correlations, the asymmetric dynamic conditional correlation model seems to fit better. Additionally, Spain and Italy can significantly damage all strong northern economies, while Greece’s negative shocks are capable of co-moving the French index. Finally, France is the most correlated country within the southern Eurozone.     

Exchange Rate Volatility and Output Volatility: A Theoretical Approach*

This paper makes an attempt to determine the factors influencing exchange rate and exchange rate uncertainty, as well as output and output variability. In the context of a small open economy under flexible exchange rates regime it is found that the level both of exchange rate and output is affected by monetary and inflationary shocks, as well as shocks in government spending, output, and trade balance. Further, the uncertainty of exchange rate and output is associated positively with the uncertainty of all shocks while the contemporaneous occurrence of selected shocks imposes either a positive or negative impact on exchange rate and output volatility. Finally, it is shown that the effect of the determinants either of exchange rate volatility or output volatility is very sensitive to the parameter values.     

Vacancies and Unemployment in Australia

This article examines the extent to which the Mortensen–Pissarides model of labour market search can quantitatively match business cycle fluctuations in Australia. With productivity and job‐separation‐rate shocks, the model fails to produce substantial volatility among unemployment or vacancies, a result similar to Shimer's (2005) findings for the United States. Examining a broader range of shocks significantly increases the magnitude of business cycle fluctuations, but still only explains roughly 25 per cent of labour market volatility. The implied volatility of wages in the model is similar to that in the data and hence excessive wage flexibility is unlikely to be central to the failure of the model as claimed in the literature.     

Cyclicality and Sectoral Linkages: Aggregate Fluctuations from Independent Sectoral Shocks

The traditional argument against the relevance of sector-specific shocks for the aggregate phenomenon of business cycles invokes the law of large numbers: positive shocks in some sectors are offset by negative shocks in other sectors. This paper hypothesizes that cancellation of sector-specific shocks via the law of large numbers is affected by interactions among producing sectors. The analysis is performed within the context of a multisector model similar in spirit to that of Long and Plosser [J. Polit. Econ.91(1983), 39–69]. It is shown that the rate at which the law of large numbers applies is controlled by the rate of increase in the number offullrows in the input-use matrix rather than by the rate of increase in the total number of sectors. Investigations of actual input-use matrices from the U.S. economy reveal that the number of full rows increases much slower than the total number of rows upon disaggregation, and when these input-use matrices are used to parameterize the model, aggregate volatility from sectoral shocks declines at less than half the rate implied by the law of large numbers. This finding leaves open the possibility that a sizeable portion of aggregate volatility is caused by “smaller” shocks to individual sectors. Simple statistics calculated from the model indicate that as much as 80% the volatility in U.S. gross domestic product growth rates could be the result of independent shocks to two-digit Standard Industrial Code sectors.Journal of Economic LiteratureClassification Numbers: E1, E32, C67.     

Fear connectedness among asset classes

This study investigates the interconnection between five implied volatility indices representative of different financial markets during the period 1 August 2008–29 December 2017. To this end, we first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period (the system-wide approach) using a framework recently proposed by Diebold and Yilmaz. Second, we make use of a dynamic analysis to evaluate both the net directional connectedness for each market and all net pairwise directional connectedness. Our results suggest that a 38.99%, of the total variance of the forecast errors is explained by shocks across markets, indicating that the remainder 61.01% of the variation is due to idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability. Finally, we also document frequently switch between a net volatility transmitter and a net volatility receiver role in the five markets under study.     

Does industrial concentration impact on the relationship between policies and volatility?

It is usually recommended that countries diversify their economies to guard against any negative shocks that might impact on one industry. However, previous research has not identified how concentration can impact on the effectiveness of macroeconomic policies. This paper attempts to evaluate the relationship between industrial concentration, policies and economic volatility for a sample of 147 countries for the period 1970 to 2005. The study reports that less concentrated countries tend to have lower rates of output, consumption and investment growth volatility. In addition, while trade and capital account openness variables alone tend to diminish economic volatility, in concentrated economies opening both the capital and trade account can increase economic volatility.     

Economic growth,volatility, and cross-country spillovers: New evidence for the G7 countries

This study examines the linkages between output growth and output volatility in the G7 countries over the period 1958M2–2013M8. Using the VAR-based spillover index approach by Diebold and Yilmaz (2012) we find that: i) output growth and volatility are highly intertwined; ii) spillovers have reached unprecedented levels during the global financial crisis; and iii) the US has been the largest transmitter of growth and volatility shocks. Generalized impulse response analyses suggest moderate growth spillovers and sizable volatility spillovers across countries. Cross-variable effects indicate that volatility shocks lead to lower growth, while growth shocks reduce output volatility.