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.     

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     

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.     

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.     

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.     

On dollarization and currency boards: Error and deception

A diagnosis of the laws and balance sheets of the monetary authorities in Argentina, Bosnia, Bulgaria, Estonia, Hong Kong and Lithuania is presented. With the exception of Bosnia, all employ active monetary policies and engage in sterilization. Accordingly, they are not currency boards. The methods used to dismantle the Argentine system in 2001, prior to its eventual abandonment, are presented. An evaluation of the Hong Kong system (1997-1998) suggests that its so-called currency board was not a party to counter-speculation in the stock market. Evidence is presented to show how deception was employed by the US and the IMF during the Indonesian currency board debate (1998) as a means to engineer a political regime change.     

中国真实利率的平稳性和区制性:基于马尔科夫区制转换模型

通过引入三种均值方差都可能不同的区制,并基于改进的马尔科夫区制转换模型对1989年2月至2010年4月中国真实利率演变的考察,结果表明不同阶段的真实利率的确存在不同的均值和方差;考虑到区制转换特征之后,真实利率大体平稳,有均值回复趋势。而以往的应用中,忽略了这种区制转换特征可能导致对真实利率预测值的系统性偏差。     

Pricing farm-level agricultural insurance: a Bayesian approach

This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This methodology considers the temporal effect, the spatial dependence and spatio-temporal models. One of the major advantages of this framework is that an estimate of the premium rate is obtained directly from the posterior distribution. These methods were applied to a farm-level data set of soybean in the State of the Paraná (Brazil), for the period between 1994 and 2003. The model selection was based on a posterior predictive criterion. This study improves considerably the estimation of the fair premium rates considering the small number of observations.      

Testing for negativity in a demand system: A Bayesian approach

The paper introduces Bayesian inference into a demand model. This allows us to test for the negativity condition of the substitution matrix which is difficult to handle directly in the traditional approach. To illustrate the Bayesian inference procedures, we estimate the Rotterdam model and test the demand properties using Japanese data. The empirical results show the importance of specifically considering negativity in demand analysis. First version received: September 1997/final version received: February 1998     

Union wage effects in Australia: an endogenous switching approach

Using data from the Household and Labour Income Dynamics Australia (HILDA), an endogenous switching model is employed to analyse union wage effects in Australia between 2001 and 2013. An advantage of this approach is that the decision to join a union is treated as potentially endogenous, a function of the wage differential between union and non-union workers, rather than exogenous as is the case in virtually all previous Australian studies. The article finds that the decision to join a union is highly sensitive to the wage differential between union and non-union workers. The article also finds that male (female) union workers with average union characteristics earn 12% (18%) more than male (female) non-union workers with average non-union characteristics. However, a decomposition analysis finds that this difference is due to union workers having better human capital endowments than their non-union counterparts. In addition, they also receive a lower return for those endowments. These decomposition results suggest that union wage effects in Australia may be negative, rather than the small positive effects typically found in the Australian literature.     

A Markov–switching vector equilibrium correction model of the UK labour market

There is a wide literature on the dynamic adjustment of employment and its relationship with the business cycle. In this paper we present a statistical model that offers a congruent representation of part of the UK labour market since the mid 1960s. We use a cointegrated vector autoregressive Markov-switching model in which some parameters change according to the phase of the business cycle. Output, employment, labour supply and real earnings are found to have a common cyclical component. The long run dynamics are characterized by one cointegrating vector relating unemployment to trend-adjusted real wages and output. Despite there having been many changes affecting this sector of the UK economy, the Markov-switching vector-equilibrium-correction model with three regimes (representing recession, normal growth, and high growth) provides a good characterization of the sample data, and performs well relative to alternative linear and non-linear models. The results of an impulse-response analysis highlight the dangers of using VARs when the constancy of the estimated coefficients has not been established, and demonstrate the advantages of generating regime dependent responses. First Version Received: December 2000/Final Version Received: August 2001     

Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data.

The present paper assesses whether monetary policy effects are asymmetric over the business cycle by estimating a univariate model for GDP including additionally the first difference of the 3-month Austrian interest rate as a measure for monetary policy. The asymmetry of the effects is captured by allowing for state-dependent parameters where the latent state variable follows a Markov switching process. The model is estimated within a Bayesian framework using Markov Chain Monte Carlo simulation methods. Model selection and specification tests are performed by means of marginal likelihood. The results document significant negative effects of monetary policy during periods of below-average growth, while the effect seems insignificant during periods of normal or above-average growth. These results corroborate those derived in theoretical models assuming price rigidities and implying a convex supply curve. Additionally, the concern of using appropriate state-identifying restrictions is raised to obtain an unbiased posterior inference. Finally, the analysis concludes by assessing the robustness of the results with respect to alternative measures of monetary policy. First Version Received: December 2000/Final Version Received: May 2001     

Random continued fractions: a Markov chain approach

Summary. By allowing the numbers appearing in a continued fraction to be random, one gets what are called random continued fractions. Under fairly general conditions, including the case when the random variables are i.i.d. non-negative, random continued fractions converge with probability one. A markovian algorithm seems to play a crucial role in studying the distribution of random continued fractions. This Markov Chain on is generated by iteration of random monotone decreasing maps on S and the connection comes from the fact that the distribution of random continued fraction is obtained as an invariant probability of the Markov Chain. Using the splitting condition, it is shown that the distribution of the Markov Chain converges exponentially fast in the Kolmogorov distance to an unique invariant probability , which is shown to be non-atomic, except in the degenerate case. A sufficient condition is given for the invariant probability to have full support S. In some special cases, the invaraint probability is obtained explicitly and this includes one case when the probability turns out to be a singular non-atomic probability with full support S. Extensions of some results to higher dimensions are also discussed.Received: 22 May 2002, Revised: 9 September 2002, Subject Classification Numbers: 60F05, 60J05.Alok Goswami: I would like to thank Rabi Bhattacharya for useful discussions at the time of writing this paper. Thanks are also due to the referee for offering various suggestionsfor improvement over a previous draft of the paper.     

Modeling probabilities of patent oppositions in a Bayesian semiparametric regression framework

Previous econometric analyses of patent data rely on regression methods using purely parametric forms of the predictor for modeling the dependence of the response. These approaches lack the capability of identifying potential non-linear relationships between dependent and independent variables. In this paper, we present a Bayesian semiparametric approach making use of Markov Chain Monte Carlo (MCMC) simulation techniques which is able to capture these non-linearities. Using this methodology we reanalyze the determinants of patent oppositions in Europe for biotechnology/pharmaceutical and semiconductor/computer software patents. Our semiparametric specification clearly finds considerable non-linearities in the effect of various metrical covariates which has been not been discussed previously. Further, a formal model validation based on ROC-methodology which splits the data in a training and a validation data set shows a significant improvement of the explanatory and the predictive power of our approach compared to purely parametric specifications.

On the benefits of fiscal policy coordination in a currency union: a note

It is quite often claimed by politicians that a common currency makes it beneficial to be also endowed with a common fiscal policy. However, if fiscal policy can reasonably be considered to be a source of shocks, national fiscal policies which are steered independently from each other are generally preferable because they allow the possibility to diversify macroeconomic risks. Abstracting from automatic stabilizers, this view is valid independent on whether the ECB targets money growth or interest rates.

Analysis of contagion from the dynamic conditional correlation model with Markov Regime switching

Over the last decades, the transmissions of international financial events have been the subject of many academic studies focused on multivariate volatility models. This study evaluates the financial contagion between stock market returns. The econometric model employed, regime switching dynamic correlation (RSDC). A modification was made in the original RSDC model, the introduction of the GJR-GARCH-N and also GJR-GARCH-t models, on the equation of conditional univariate variances, thus allowing us to capture the asymmetric effects in volatility and also heavy tails. A database was built using series of indices in the United States (S&P500), the United Kingdom (FTSE100), Brazil (IBOVESPA) and South Korea (KOSPI) from 1 February 2003 to 20 September 2012. Throughout this study the methodology is compared with those frequently found in literature, and the model RSDC with two regimes was defined as the most appropriate for the selected sample with t-Student distribution in the disturbances. The adapted RSDC model used in this article can be used to detect contagion – considering the definition of financial contagion from the World Bank called very restrictive – with the help of the empirical exercise.     

Comparing new Keynesian models in the Euro area: a Bayesian approach

This paper estimates and compares four versions of the sticky price New Keynesian model for the Euro area using a Bayesian approach. We find that the average duration of price contracts is between two and four quarters, while the average duration of wage contracts is estimated to be below two quarters. Both mechanisms of price and wage indexation are not important when autocorrelated price markup shocks are introduced in the model. These results are in stark contrast to Smets and Wouters (2003): when we use their priors, our estimated posterior distributions are similar to theirs, but the models’ fit to the data is worse. We are thankful to the Econometric Modelling Unit at the European Central Bank for providing us with the Euro area data. We also thank two anonymous referees for helpful suggestions. The views expressed in this paper are those of the authors and do not necessarily reflect the views of Caixa d’Estalvis i Pensions de Barcelona (“la Caixa”).     

A characterization of virtual Bayesian implementation

We provide a characterization of virtual Bayesian implementation in pure strategies for environments satisfying no-total-indifference. A social choice function in such environments is virtually Bayesian implementable if and only if it satisfies incentive compatibility and a condition we term virtual monotonicity. The latter is weaker than Bayesian monotonicity—known to be necessary for Bayesian implementation. Virtual monotonicity is weak in the sense that it is generically satisfied in environments with at least three alternatives. This implies that in most environments virtual Bayesian implementation is as successful as it can be (incentive compatibility is the only condition needed).