Evaluating currency crises: the case of the European monetary system

In this paper we examine the nature of currency crises. We ascertain whether the currency crises of the European Monetary System (EMS) were based either on fundamentals, or on self-fulfilling market expectations driven by extrinsic uncertainty. In particular, we extend previous work of Jeanne and Masson (J Int Econ 50:327–350, 2000) regarding the evaluation of currency crisis. We contribute to the existing literature proposing the use of Markov regime-switching with time-varying transition probability model. Our empirical results suggest that the currency crises of the EMS were not due only to market expectations driven by external uncertainty, or ‘sunspots’, but also to fundamental variables that help to explain the behavior of market expectations. We would like to thank Joseph Byrne, James Mitchell, Martin Weale and two anonymous referees for very useful comments and suggestions.     

Explaining ERM realignments: Insights from optimising models of currency crises

This paper attempts to provide empirical evidence on the determinants of the realignments throughout the European exchange rate mechanism (ERM). Motivated by the implications of optimising currency crisis models, we relate the probability of “crises” to a set of macroeconomic fundamentals. By using a conditional binominal logit model we show that regime switches are strongly influenced by movements in industrial production, foreign interest rates, competitiveness and imports as well as in foreign exchange reserves. These findings are consistent with the general propositions of recent currency crises models.     

An analysis of East Asian currency area: Bayesian dynamic factor model approach

There has recently been an increasing interest in the establishment of a common currency area in East Asia in the aftermath of the East Asian financial crisis. In this article I examine the desirability and feasibility of forming a currency area in the region by checking the symmetry of shocks as an important criterion of the theory of Optimum Currency Area. I employ a dynamic factor model to decompose aggregate output into world, regional and country‐specific components and estimate the model using a Gibbs sampling simulation. Persistent properties of those components are examined and variance decomposition analysis is performed to investigate the role of each component in output variance. The European Monetary Union, with the successful launch of the euro, is the natural benchmark for comparison. Based on variance analysis, it is found that East Asian countries, on average, are less plausible candidates for a currency area than European counterparts. However, a subgroup of countries in East Asia is as qualified as those in Europe. Given the ongoing integration in East Asia, it is not premature to prepare for such a currency area in this region.     

Testing Markov switching models

In this article, we propose a new test for Markov switching models. Unlike the tests in the existing literature (e.g. Hansen, 1992; Garcia, 1998; Cho and White, 2007), we focus on testing the null of two regimes, instead of one single regime, in a switching framework. To implement our test, we propose a Markov switching model with absorbing states and examine whether the absorption probabilities are close to the boundary of the parameter space. We exploit recent advances by Andrews (2001) and conduct inference in the proposed model.     

Markov switching in disaggregate unemployment rates

We develop a dynamic factor model with Markov switching to examine secular and business cycle fluctuations in the U.S. unemployment rates. We extract the common dynamics amongst unemployment rates disaggregated for 7 age groups. The framework allows analysis of the contribution of demographic factors to secular changes in unemployment rates. In addition, it allows examination of the separate contribution of changes due to asymmetric business cycle fluctuations. We find strong evidence in favor of the common factor and of the switching between high and low unemployment rate regimes. We also find that demographic adjustments can account for a great deal of secular changes in the unemployment rates, particularly the abrupt increase in the 1970s and 1980s and the subsequent decrease in the last 18 years. First Version Received: December 2000/Final Version Received: June 2001     

The spectral representation of Markov switching ARMA models

In this paper we propose a method to derive the spectral density function of Markov switching ARMA models. We apply the Riesz-Fischer theorem which defines the spectral representation as the Fourier transform of the autocovariance functions.     

Political booms and currency crises

This paper shows evidence that political booms, defined as the rise in governments’ popularity, are associated with a higher likelihood of currency crises. The reasoning behind this finding is that prudent economic policies to address underlying weaknesses in the economy may be political costly for incumbent governments in the short-term. Hence, popularity-concerned governments may not have enough incentives to take such corrective actions in a timely manner. This approach, in turn, can deteriorate economic fundamentals and increase related risks in the economy which can eventually lead to crises. This paper sheds light on this phenomenon in the case of currency crises, suggesting that currency crises can be viewed as “political booms gone bust” events. Moreover, it finds that higher international reserves, higher exports, and a higher degree of financial openness alleviate the effect of political booms on currency crises.     

Modelling the dependency between currency and debt crises: An option based approach

The interrelation between currency and debt crises is considered in a model relying on option pricing theory. By capturing uncertainty and time aspects in this stochastic and dynamic framework we analyze parameters that determine the probabilities and dependencies of these crises.     

A corporate balance-sheet approach to currency crises

This paper presents a general equilibrium currency crisis model of the ‘third generation’, in which the possibility of currency crises is driven by the interplay between private firms’ credit-constraints and nominal price rigidities. Despite our emphasis on microfoundations, the model remains sufficiently simple that the policy analysis can be conducted graphically. The analysis hinges on four main features (i) ex post deviations from purchasing power parity; (ii) credit constraints a la Bernanke-Gertler; (iii) foreign currency borrowing by domestic firms; (iv) a competitive banking sector lending to firms and holding reserves and a monetary policy conducted either through open market operations or short-term lending facilities. We derive sufficient conditions for the existence of a sunspot equilibrium with currency crises. We show that an interest rate increase intended to support the currency in a crisis may not be effective, but that a relaxation of short-term lending facilities can make this policy effective by attenuating the rise in interest rates relevant to firms.     

An almost‐too‐late warning mechanism for currency crises1

We propose exploiting the term structure of relative interest rates to obtain estimates of changes in the timing of a currency crisis as perceived by market participants. Our indicator can be used to evaluate the relative probability of a crisis occurring in one week as compared to a crisis happening after one week but in less than a month. We give empirical evidence that the indicator performs well for two important currency crises in Eastern Europe: the crisis in the Czech Republic in 1997 and the Russian crisis in 1998.     

Experimental analysis on the role of a large speculator in currency crises

Corsetti et al. (2004) demonstrate that the presence of a large speculator in the foreign exchange market makes the remaining traders more aggressive in their speculative attacks. We conduct an experiment designed to test their theoretical predictions and also use the experiment to analyze an additional aspect that has not been previously covered in the literature: namely, whether the entry of a large speculator and the exit of the same speculator have the same effect in magnitude on the probability of a successful speculative attack. We obtain two main findings. First, the results support the main conclusion of Corsetti et al. (2004) that the presence of a large speculator makes other small speculators more aggressive. Second, the results suggest that the effect of the entry of a large speculator on the probability of successful speculative attacks is larger than that of the exit of the same speculator.     

Profit rate in the US, 1949–2007: a Markov switching assessment

The article investigates the growth in the general profit rate in the US during the 1949–2007 period with a Markov switching model. The evidence is consistent with a long swing with means displaying opposite signs under the two regimes (increasing or declining) and high degree of persistence within each regime. The results for this nonlinear approach reinforce previous empirical evidence that does not provide support for a systematic and declining tendency in profit rate as advanced in the Marxian literature.     

Stabilizations, crises and the “exit” problem – A theoretical model

Exchange-rate-based stabilizations, even if successful, usually lack credibility initially. This is reflected in high (ex post) real interest rates and some degree of real exchange rate appreciation. Empirical observation suggests that wage inflation declines smoothly over time whilst interest rates are volatile. Our model captures these features and provides insights into: the eruption of exchange rate crises after a long period of apparently successful stabilization; the potential advantages of a heterodox approach; when to delay a stabilization attempt; and the optimal date for “exit” to a floating exchange rate.     

Examining the stochastic behavior of REIT returns: Evidence from the regime switching approach

In this paper the stochastic behavior of the returns on real estate investment trusts (REITs) is examined by using the unobserved component Markov switching (UC-MS) model. This approach endogenously permits the volatility to switch as the date and regime change and allows us to decompose the permanent and transitory components in REIT returns at monthly frequencies. The empirical evidence clearly shows that, for all of the REIT returns, the overall variance of the transitory component is significantly smaller than the corresponding variance for the permanent component. The durations of the high-variance regimes for both the fundamental and transitory components are short-lived and revert to normal levels quickly.     

Inflation volatility: A Bayesian approach

The ongoing trend of high inflation across much of the world has reignited interest in inflation volatility with varying foci and methods. In this paper, we employ a Bayesian framework to estimate inflation volatility using a sample of G20 countries. Estimation results suggest persistent heterogeneity in price volatility across time and countries. Furthermore, we use the Bayesian estimates of volatility to conduct several empirical analyses on the implications of interdependence of economies, development status for uncertainty. Further analyses on the determinants of price volatility suggest that trade openness, COVID-19, and the Ukraine crisis have positive impacts on volatility. Additionally, the nature of the political institutions and the share of manufacturing in total national output are also found to affect volatility to some extent.     

Power issues when testing the Markov switching model with the sup likelihood ratio test using U.S. output

The likelihood ratio (LR) test statistic for the test of a linear AR(1) model against the alternative of a Markov switching model does not possess the standard χ² distribution. Garcia (1998) derives the asymptotic distribution of the Sup LR test statistic under these non-standard conditions allowing the researcher to easily compare the two models. This paper examines the power properties of this test statistic using Monte Carlo experiments calibrated to U.S. output growth data. The results suggest a test of reasonable power. When the experiments are calibrated to annual data, power is 82% at 200 observations. When the experiments are calibrated to quarterly data power is 57% for the same sample size. First Version Received: March 2000/Final Version Received: March 2001     

Deleveraging crises and deep recessions: a behavioural approach

Macroeconomic dynamics are characterized by alternating patterns of periods of relative stability and large swings. Standard microfounded macroeconomic models account for these patterns through exogenous and persistent shocks. In this article, we develop a fully decentralized and microfounded macroeconomic agent-based model, augmented with an opinion model, which produces endogenous waves of pessimism and optimism that feed back into firms’ leverage and households’ precautionary saving behaviour. A major emergent property of our model is precisely the complex successions of stable and unstable macroeconomic regimes. The model is further able to account for a wide spectrum of macro and micro empirical regularities. Within this framework, we analyse a series of macroeconomic phenomena of key relevance in the current macroeconomic debate, especially the occurrence of deleveraging crises and Fisherian debt-deflation recessions. Our analysis suggests that the relative dynamics of prices and wages and the resulting income distribution along a deflationary path are critical determinants of the severity of the recession and the chances of recovery.     

A regime-switching approach to the study of speculative attacks: A focus on EMS crises

This paper implements a regime-switching framework to study speculative attacks against EMS currencies during 1979–1993. To identify speculative episodes, we model exchange rates, reserves, and interest rates as time series subject to discrete regime shifts between two possible states: “tranquil” and “speculative”. We allow the probabilities of switching between states to be a function of fundamentals and expectations. The regime-switching framework improves the ability to identify speculative attacks vis-à-vis the indices of speculative pressure used in the literature. The results also indicate that fundamentals (particularly budget deficits) and expectations drive the probability of switching to a speculative state. First Version Received: October 2000/Final Version Received: June 2001     

Does purchasing power parity hold sometimes? Regime switching in real exchange rates

Standard unit root tests are not very powerful in drawing conclusions regarding the validity of Purchasing Power Parity (PPP). Rather than asking whether PPP holds throughout the whole sample period, we examine, in this study, if PPP holds sometimes by employing Hamilton-type (1989) Markov regime switching models. When at least one of multiple regimes is stationary, PPP holds locally within the regime. There are indeed various reasons that we should expect that the persistence of real exchange rates changes over time. Employing five real exchange rates spanning more than 100 years, we find herein strong evidence that the strength of PPP varies during the sample periods and that there exist stationary regimes in which PPP holds. Throughout the article, we also make comparisons to previous Markov regime switching estimation results by Kanas (2006) on the same data series. The new Markov switching model selection criterion of Smith et al. (2006), which is devised especially for discriminating Markov regime switching models, unambiguously indicates a preference for the Hamilton-type Markov regime switching model employed in this study. We also find that the evidence for PPP is not much different across different nominal exchange rate arrangements.     

Extracting shadow exchange rates and foreign exchange premia during currency crises: an example from Egypt

We utilize high-frequency data and a novel synchronous trade-matching algorithm to show that shadow exchange rates could be estimated from price spreads between depositary receipts and their underlying local stocks using an example of the recent Egyptian currency crisis. These shadow rates reflect the local black market foreign exchange rates in addition to a foreign exchange premium, which we attribute to the cost of expatriating capital during currency and capital control periods.