Periklis Gogas

Purchasing power parity, nonlinearity and chaos

This study contrasts the (apparent) random walk behaviour of the real exchange rate to chaotic dynamics, using (US) dollar-based real exchange rates for 17 OECD countries (covering the period 1957:1–1995:4). Tests for deterministic noisy chaos are carried out using the Nychka, Ellner, Gallant and McCaffrey (1992) test for positivity of the maximum Lyapunov exponent. There is evidence of nonlinear chaotic dynamics in seven real exchange rate series, suggesting that real exchange rate movements might not be really random.

Are there asymmetries in fiscal policy shocks

Purpose - – The purpose of this paper is to test the effects of unanticipated fiscal policy shocks on the growth rate and the cyclical component of real private output and reveal different types of asymmetries in fiscal policy implementation. Design/methodology/approach - – The authors use two alternative vector autoregressive systems in order to construct the fiscal policy shocks: one with the simple sum monetary aggregate MZM and one with the alternative CFS Divisia MZM aggregate. From each one of these systems we extracted four types of shocks: a negative and a positive government spending shock and a negative and a positive government revenue shock. These eight different types of unanticipated fiscal shocks were used next to empirically examine their effects on the growth rate and cyclical component of real private GNP in two sets of regressions: one that assumes only contemporaneous effects of the shocks on output and one that is augmented with four lags of each fiscal shock. Findings - – The authors come up with three key findings: first, all fiscal multipliers are below unity but with signs as predicted by Keynesian theory. Second, government expenditures have a larger impact as compared to the tax policy and finally, positive government spending shocks are more significant than negative spending shocks. All these results are in line with previous studies and are robust through many tests using structural identification proposed by Blanchard and Perotti (2002). Practical implications - – The empirical findings in this manuscript can be used for conducting a more efficient fiscal policy. The importance of government spending shocks is empirically verified along with the asymmetries related to price stickiness predicted by Keynesian theory. According to the results an efficient fiscal policy would: in terms of an expansionary policy, use government spending as a means to stimulate the economy instead of tax cuts and in the case of a contractionary policy use government revenue (higher taxes) so that the costs of this policy in terms of output lost are lower. Originality/value - – In this study the authors introduce three main innovations: first, to the best of our knowledge the Divisia monetary aggregates have not yet been used to previous research pertaining to fiscal policy. Second, following Cover’s (1992) procedure of identifying monetary policy shocks we extract the unanticipated fiscal policy shocks on government spending and revenue. Finally, the authors explicitly test for the asymmetric effects on the growth rate and the cyclical component of real private GNP of a contractionary and expansionary fiscal policy.

The Feldstein‐Horioka puzzle in an ARIMA framework

Purpose - To test the Feldstein-Horioka hypothesis that the investment-to-output ratio moves one-for-one with the saving-to-output ratio, suggesting international capital mobility. Design/methodology/approach - The paper uses the econometric framework developed by Fisher and Seater, interpreting the Feldstein-Horioka hypothesis as a long-run phenomenon, and paying particular attention to the integration properties of the data, since meaningful tests critically depend on these properties. The paper also investigates the power of the long-horizon regression tests, using the inverse power function of Andrews. Findings - The paper tests the Feldstein-Horioka hypothesis for 15 European countries, as well as for the USA and Japan, using annual data for the period from 1960 to 2002. Evidence is found against the Feldstein and Horioka hypothesis of low international capital mobility. Originality/value - Although the findings are in contrast to those of Feldstein and Horioka, they are consistent with neoclassical growth theory according to which there is no reason to expect a relation between saving and investment if there are no barriers to capital movements.

Fiscal Shocks and Asymmetric Effects: A Comparative Analysis

We empirically test the effects of unanticipated fiscal policy shocks on the growth rate and the cyclical component of real private output and reveal different types of asymmetries in fiscal policy implementation. The data used are quarterly U.S. observati ons over the period 1967:1 to 2011:4. In doing so, we use both a vector autoregressive and the novel support vector machines systems in order to extract the fiscal policy shocks series. The latter has never been used before in a similar macroeconomic setting. Within our research framework, in order to test the robustness of our results to alternative aggregate money supply definitions we use two alternative moentary aggregates. These are the commonly reported by central banks and policy makers simple sum monetary aggregates at the MZM level of aggregation and the alternative CFS Divisia MZM aggregate. From each of these four systems we extracted four types of shocks: a negative and a positive government spending shock and a negative and a positive government revenue shock. These eight different types of unanticipated fiscal policy shocks are next used to empirically examine their effects on the growth rate and the cyclical component of real private GNP in two sets of regressions: one that assumes only contemporaneous effects of the shocks on output and one that is augmented with four lags of each fiscal shock.

US Inflation Dynamics on Long Range Data

In this article, we evaluate inflation persistence in the United States using long-range monthly and annual data. The importance of inflation persistence is crucial to policy authorities and market participants, since the level of inflation persistence provides an indication on the susceptibility of the economy to exogenous shocks. Departing from classic econometric approaches found in the relevant literature, we evaluate inflation persistence through the nonparametric Hurst exponent within both a global and a rolling window framework. Moreover, we expand our analysis to detect the potential existence of chaos in the data generating process, in order to enhance the robustness of our conclusions. Overall, we find that inflation persistence is high from 1775 to 2013 for the annual data-set and from February 1876 to May 2014 in monthly frequency, respectively. Especially from the monthly data-set, the rolling window approach allows us to derive that inflation persistence has reached to historically high levels in the post–Bretton Woods period and remained there ever since.

Forecasting the insolvency of US banks using Support Vector Machines (SVMs) based on local learning feature selection

We propose a support vector machine (SVM)-based structural model to forecast the collapse of banking institutions in the USA using publicly disclosed information from their financial statements on a four-year rolling window. In our approach, the optimum input variable set is defined from a large data set using an iterative relevance-based selection procedure. We train an SVM model to classify banks as solvent and insolvent. The resulting model exhibits significant ability in bank default forecasting.

Directional Forecasting in Financial Time Series Using Support Vector Machines: The USD/EURO Exchange Rate

In this paper, we present a novel machine learning based forecasting system of the EU/USD exchange rate directional changes. Specifically, we feed an overcomplete variable set to a Support Vector Machines (SVM) model and refine it through a Sensitivity Analysis process. The dataset spans from 1/1/1999 to 30/11/2011; the data of the last 7 months are reserved for out-of-sample testing. Results show that the proposed scheme outperforms various other machine learning methods treating similar scenarios.

Forecasting in inefficient commodity markets

Purpose - This paper set out to use an autoregressive conditional heteroscedasticity (ARCH)-type model to capture the time-varying conditional variance of Alberta electricity prices. This is of major importance in forecasting, since ARCH-type models allow the conditional variance to depend on elements of the information set. Design/methodology/approach - The paper uses the model to perform static and dynamic forecasts over different horizons and to compare its forecasting performance with a random walk and a moving average model. Findings - The paper provides a study of hourly electricity prices using recent advances in the financial econometrics literature. Originality/value - The contribution of the paper is its use of models of changing volatility to properly identify the type of heteroscedasticity in the data-generation processes. This is of major importance in forecasting.

Asymmetric Effects of Monetary Policy in the U.S. and Brazil

We empirically test the effects of anticipated and unanticipated monetary policy shocks on the growth rate of real industrial production and explicitly test for different types of asymmetries in monetary policy implementation for two major international economies, the U.S. and Brazil. We depart from the conventional method of VAR analysis to estimate unanticipated monetary shocks and instead we use a combination of other methods. We first identify the Taylor rule that best describes the reaction of both central banks and then we test both forward looking linear and nonlinear models concluding that a Logistic Smooth Transition Autoregressive (LSTAR) forward looking model of the Taylor rule best describes the US FED Funds rate while a linear Taylor rule with the inclusion of a dummy variable best describes the reaction of the Central Bank of Brazil (BCB). We then use in-sample forecast errors in order to derive or identify the unexpected monetary shocks for both countries. In line with Cover (1992), we use these shocks to explore any asymmetries in the conduct of monetary policy on the growth rate of real industrial production. We also find asymmetries between anticipated and unanticipated monetary shocks as well as between effects of positive and negative shocks.

Macroeconomic uncertainty, growth and inflation in the Eurozone: a causal approach

ABSTRACT In this article, we evaluate the causal relationship between macroeconomic uncertainty indices, inflation and growth rate for 17 Eurozone countries on a county-level examination. In performing a series of linear and nonlinear causality tests, we find little evidence of a causal relationship between uncertainty and macroeconomic variables. Thus, macroeconomic analysis based on uncertainty indices should be treated with caution.