EXCHANGE RATE TARGET ZONES: A SURVEY OF THE LITERATURE

This work selectively reviews the literature on exchange rate target zones and their theoretical and empirical methodologies and examines whether they can be used to clarify to what extent this type of exchange rate regime could contribute to greater exchange rate stability. We discuss the main contributions of the first and second generations of exchange rate target zone models. In an attempt to reconcile the poor empirical performance of the Krugman model with the reality of exchange rate target zone regimes, this line of research integrates target zones with alternative underlying economic models, such as imperfect credibility, intra‐marginal interventions and sticky price models. It was thus possible to understand the correlations observed between the exchange rate, its fundamentals determinants and the interest rate differential, and to explain the fact that the statistical distribution of the exchange rate is hump shaped rather than U shaped. This implies that the initial emphasis of target zone models on nonlinearities, ‘honeymoon effect’, ‘smooth pasting’ and marginal interventions has vanished. Exchange rate target zones are better described as similar to managed floating regimes with intra‐marginal interventions, with some marginal interventions when the exchange rate reaches the edges of the floating band.     

Currency depreciation effects on ADR returns: evidence from Latin America

We use seemingly unrelated regressions (SUR) and multivariate regression models (MVRM) in a panel sample of 74 American depository receipts (ADR) programs from Argentina, Brazil, Chile, and Mexico during the period May 1994 to May 2009 to analyze the behavior of ADR returns during the 300-day period surrounding the currency crises breakdown in the originator??s country. Controlling for the underlying stock and local and host country equity indices, we find that ADRs generate significant negative abnormal returns during currency crises, due to translation exposure. Abnormal returns remain statistically significant even in crises triggered by currency depreciations as small as 3.6%. The results persist after including exchange rate returns as a control variable and after an orthogonalization procedure of exchange rate against local country indices. In agreement with ADR literature, our results show that ADR prices are determined primarily by the underlying stock, exchange rates, and host country index, in that order. Moreover, we observe how market integration has become evident in more recent times as the coefficients for the U.S. stock market have increased its contribution to ADR price discovery.     

Managed Floating as a Monetary Policy Strategy

Although there seems to be a broad consensus among economists that purely floating or completely fixed exchange rates (the so-called corner solutions) are the only viable alternatives of exchange rate management, many countries do not behave according to this paradigm and adopt a strategy within the broad spectrum of exchange rate regimes that is limited by the two corner solutions. Many of these intermediate regimes are characterized by significant foreign exchange market interventions and a certain degree of exchange rate flexibility with non-preannounced exchange rate targets. While academic research in this area usually concentrates on some specific aspects of intermediate regimes (such as the effectiveness of interventions or institutional aspects), managed floating has rarely been analyzed as a comprehensive monetary policy strategy. In this paper, we present a monetary policy framework in which central banks simultaneously use the exchange rate and the interest rate as operating targets of monetary policy. We explain the mechanics of foreign exchange market interventions and sterilization and we explain why a central bank has an interest of controlling simultaneously the two operating targets. We derive the monetary policy rules for the two operating targets from a simple open economy macro model in which the uncovered interest parity condition and the monetary conditions index play a central role.     

A Monte Carlo study of the forecasting performance of empirical SETAR models

In this paper we investigate the multi-period forecast performance of a number of empirical self-exciting threshold autoregressive (SETAR) models that have been proposed in the literature for modelling exchange rates and GNP, among other variables. We take each of the empirical SETAR models in turn as the DGP to ensure that the ‘non-linearity’ characterizes the future, and compare the forecast performance of SETAR and linear autoregressive models on a number of quantitative and qualitative criteria. Our results indicate that non-linear models have an edge in certain states of nature but not in others, and that this can be highlighted by evaluating forecasts conditional upon the regime. Copyright © 1999 John Wiley & Sons, Ltd.     

Ideological Currency in the Psychological Contracts of Corporate Manufacturing Employees

Previous research on employee psychological contracts has focused on three different types of expectations that workers have of their employers: transactional exchange of economic currency, relational exchange of socioemotional currency, and, more recently, covenantal exchange of ideological currency. This last type of currency, however, has been studied almost entirely in nonprofit workplaces among employees in helping professions (e.g., healthcare, education) who hold advanced degrees. Although not explicit in the extant literature, the implication of such is that expressions of ideological currency may be limited to certain types of professions. In the present study, we therefore analyzed both white and blue-collar employees’ ideological expectations in a corporate, for-profit, manufacturing environment. Using 1492 responses to an open-ended question received from an email survey, we found that 36% contained an expression of ideological currency, with an additional 44.8% possessing a possible expression of ideological currency. Comparisons of these expressions reveal many similarities between white and blue-collar employees within this organization as well as between these employees and those found in the published literature from workers in other industries. We discuss the implications of these findings for theory and future research.     

A Jump-diffusion Model for Exchange Rates in a Target Zone

We propose a simple jump-diffusion model for an exchange rate target zone. The model captures most stylized facts from the existing target zone models while remaining analytically tractable. The model is based on a modified two-limit version of the C OX , I NGERSOLL and R OSS (1985) model. In the model the exchange rate is kept within the band because the variance decreases as the exchange rate approaches the upper or lower limits of the band. We also consider an extension of the model with parity adjustments, which are modeled as Poisson jumps. Estimation of the model is by GMM based on conditional moments. We derive prices of currency options in our model, assuming that realignment jump risk is idiosyncratic. Throughout, we apply the theory to EMS exchange rate data. We show that, after the EMS crisis of 1993, currencies remain in an implicit target zone which is narrower than the officially announced target zones.     

BANK CAPITAL REQUIREMENTS, BUSINESS CYCLE FLUCTUATIONS AND THE BASEL ACCORDS: A SYNTHESIS

Abstract.  In order to survey the mechanisms through which the introduction of Basel II bank capital requirements is likely to accentuate the procyclical tendencies of banking, this paper brings together the theoretical literature on the bank capital channel of propagation of exogenous shocks and the literature on the regulatory framework of capital requirements under the Basel Accords. We conclude that the theoretical models that revisit the bank capital channel under the new accord generally support the Basel II procyclicality hypothesis and that the magnitude of the procyclical effects essentially depends on (i) the composition of banks' asset portfolios, (ii) the approach adopted by banks to compute their minimum capital requirements, (iii) the nature of the rating system used by banks, (iv) the view adopted concerning how credit risk evolves through time, (v) the capital buffers over the regulatory minimum held by the banking institutions, (vi) the improvements in credit risk management and (vii) the supervisor and market intervention under Basel II. The recent events and instability in financial markets all over the world have led the procyclicality issue to enter the agendas of several political international  fora  and some measures to mitigate procyclicality are being put forward. The bank capital channel literature should now play an important role in evaluating their effectiveness.     

HIGH‐FREQUENCY ANALYSIS OF FOREIGN EXCHANGE INTERVENTIONS: WHAT DO WE LEARN?

Abstract.  The high-frequency analysis of foreign exchange dynamics is helpful in order to better identify the impact of central bank interventions. Evidence robustly shows that interventions do indeed move the exchange rate level in the desired direction. Interventions increase volatility in the short run as they are regarded as information; but they can reduce volatility overall. Ways of transmission may reach beyond the signalling channel and also include the portfolio balance and a damping channel. Finally, interventions are more successful if they obey certain conditions, such as being coordinated among central banks and going with the market and fundamentals.     

Exchange rate misalignments,capital flows and volatility

This study investigates the effect of three dimensions of exchange rate misalignments—(i) distance (absolute misalignments), (ii) direction (overvaluation or undervaluation), and (iii) degree (small or large misalignments)—on the overall as well as short-cycle exchange rate volatility. Using data from 1988 to 2014, we find that relative PPP-based exchange rate misalignments increase exchange rate volatility. For developed and developing countries, this increase in volatility is driven mainly by large undervalued misalignments of the U.S. dollar. This finding might be linked to interventions targeting the loss in domestic producers’ competitiveness in global markets. Interestingly, in the case of developed countries, we find this adverse effect on exchange rate volatility also for small absolute misalignments; exchange rate movements close to equilibrium may be associated with ambiguity with respect to future movements in developed countries, which can result in higher exchange rate volatility. Further, the results suggest that, when the dollar is highly undervalued, capital flows have a stabilizing effect on exchange rate volatility in developed countries but a destabilizing effect in developing countries. The finding is consistent with investors’ strategy of taking exchange rate overvaluation and undervaluation into account when engaging in cross-border investments.     

Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP*

In this article, we merge two strands from the recent econometric literature. First, factor models based on large sets of macroeconomic variables for forecasting, which have generally proven useful for forecasting. However, there is some disagreement in the literature as to the appropriate method. Second, forecast methods based on mixed‐frequency data sampling (MIDAS). This regression technique can take into account unbalanced datasets that emerge from publication lags of high‐ and low‐frequency indicators, a problem practitioner have to cope with in real time. In this article, we introduce Factor MIDAS, an approach for nowcasting and forecasting low‐frequency variables like gross domestic product (GDP) exploiting information in a large set of higher‐frequency indicators. We consider three alternative MIDAS approaches (basic, smoothed and unrestricted) that provide harmonized projection methods that allow for a comparison of the alternative factor estimation methods with respect to nowcasting and forecasting. Common to all the factor estimation methods employed here is that they can handle unbalanced datasets, as typically faced in real‐time forecast applications owing to publication lags. In particular, we focus on variants of static and dynamic principal components as well as Kalman filter estimates in state‐space factor models. As an empirical illustration of the technique, we use a large monthly dataset of the German economy to nowcast and forecast quarterly GDP growth. We find that the factor estimation methods do not differ substantially, whereas the most parsimonious MIDAS projection performs best overall. Finally, quarterly models are in general outperformed by the Factor MIDAS models, which confirms the usefulness of the mixed‐frequency techniques that can exploit timely information from business cycle indicators.     

On the Evolution of Money and its Implications for Price Stability

This review identifies in the literature three distinct conceptual frameworks for analysing money, in which the means of settlement is provided by (i) a special commodity used in exchange, (ii) all generally accepted media of exchange including some bank deposits, and (iii) a book‐keeping system recording changes in ownership of financial assets within a pure credit economy. All three sections consider the implications for monetary policy aimed at maintaining price stability. The paper concludes that future theoretical developments are likely to take place within finance theory rather than being based on the quantity theory of money.     

The impact of macro news and central bank communication on emerging European forex markets

We employ a two-stage empirical strategy to analyze the impact of macroeconomic news and central bank communication on the exchange rates of three Central and Eastern European (CEE) currencies against the euro. First we estimate the nominal equilibrium exchange rate based on a monetary model. Second, we employ a high-frequency GARCH model to estimate the effects of the news and communication along with the estimated exchange rate misalignment on the exchange rate as well as its volatility. The analysis is performed during the pre-crisis (2004–2007) and crisis (2008–2009) periods. CEE currencies react to macroeconomic news during both periods in an intuitive manner that corresponds to exchange rate-related theories. However, the responsiveness of the currencies to central bank verbal interventions becomes important only during the crisis period.     

Stochastic Optimization: a Review

We review three leading stochastic optimization methods—simulated annealing, genetic algorithms, and tabu search. In each case we analyze the method, give the exact algorithm, detail advantages and disadvantages, and summarize the literature on optimal values of the inputs. As a motivating example we describe the solution—using Bayesian decision theory, via maximization of expected utility—of a variable selection problem in generalized linear models, which arises in the cost-effective construction of a patient sickness-at-admission scale as part of an effort to measure quality of hospital care.     

A univariate analysis of EMS exchange rates using a target zone model

The models in the literature on exchange-rate target zones imply a non-linear time series model for the exchange rate. We show how the parameters of such models can be estimated and develop Maximum Likelihood and Method of Simulated Moments estimators for the target zone model of Krugman (1991). The Maximum Likelihood estimator is based on a computationally attractive approximation to the exact predictive density of the continuous time model. Monte Carlo experiments are used to assess the properties of this estimator. In the empirical part we estimate the model with data on recent EMS exchange rates. We find that the Krugman (1991) target zone model is not able to explain the full observed kurtosis and conditional heteroscedasticity of the exchange-rate returns.     

Fear of Floating in Brazil: Did Inflation Targeting matter?

Brazil implemented Inflation Targeting (IT) after the breakdown of a managed floating regime, showing a similar pattern to most of the emerging markets that adopted this framework. This unplanned policy change has led to some disbelief regarding the country's commitment to its inflation objective and to a floating exchange rate. In this paper we analyse whether the adoption of IT has led to an actual shift in the country's approach to the exchange rate. We find greater exchange rate flexibility and milder interventions in the foreign exchange market after IT. We conclude that possible interventions should not be seen as Fear of Floating, but as a required policy for the attainment of the inflation targets.     

Can the random walk model be beaten in out-of-sample density forecasts? Evidence from intraday foreign exchange rates

It has been documented that random walk outperforms most economic structural and time series models in out-of-sample forecasts of the conditional mean dynamics of exchange rates. In this paper, we study whether random walk has similar dominance in out-of-sample forecasts of the conditional probability density of exchange rates given that the probability density forecasts are often needed in many applications in economics and finance. We first develop a nonparametric portmanteau test for optimal density forecasts of univariate time series models in an out-of-sample setting and provide simulation evidence on its finite sample performance. Then we conduct a comprehensive empirical analysis on the out-of-sample performances of a wide variety of nonlinear time series models in forecasting the intraday probability densities of two major exchange rates—Euro/Dollar and Yen/Dollar. It is found that some sophisticated time series models that capture time-varying higher order conditional moments, such as Markov regime-switching models, have better density forecasts for exchange rates than random walk or modified random walk with GARCH and Student-t innovations. This finding dramatically differs from that on mean forecasts and suggests that sophisticated time series models could be useful in out-of-sample applications involving the probability density.     

How do industrial relations climate and union instrumentality enhance employee performance? The mediating effects of perceived job security and trust in management

In this study, we examine the effects of two key variables associated with union effectiveness on the job performance of employees, and the mechanisms that explain such effects. More specifically, we investigate whether employees' perceptions that their union has a constructive relationship with management (industrial relations climate) and is able to act as an agent for their concerns (union instrumentality) promotes their job performance by enhancing their perceived job security and trust in management. Drawing on three waves of data from 303 employees and their immediate supervisors within 17 private enterprises in China, we find employees' perceptions of union effectiveness influence their job performance by enhancing both their perceived job security and trust in management. These findings are consistent with social exchange theory and conservation of resources theory. This article contributes to the literature by improving our understanding of how unions influence employees' work performance and by explaining how employees' perceptions of the industrial relations climate and union instrumentality influence their job performance. It also sheds light on the important issue of the effectiveness of unions in China, a country where the centrality of the Chinese Communist Party is often considered to have reduced the instrumentality of unions.     

Theorizing TQM: An Austrian and Evolutionary Economics Interpretation

Born out of management practice, the principles of TQM (total quality management) have had a profound and unparalleled impact on modern business history. However, as a body of practical knowledge, TQM has been largely atheoretical. As a consequence, this important management philosophy has remained amorphous and shrouded in considerable conceptual haziness and ambiguity. Recent theorizing, primarily emphasizing the application of organizational behaviour theories to TQM, has begun to provide greater clarity, but much work remains to be done. This paper attempts to contribute to this nascent theory‐building literature by employing theory from market process economics (MPE), namely, Austrian and evolutionary economics, which explains how processes of dynamic change, adaptation, and learning are driven by entrepreneurial creativity. We contend that the patterns in this body of theory match, to a remarkable degree, the patterns of practical knowledge contained in the TQM literature. We demonstrate this ‘pattern‐matching’ by showing that MPE effectively provides the theoretical underpinnings of TQM’s three main principles — customer focus, continuous improvement and teamwork — as well as the respective TQM topics of customer perceptions, adaptation in dynamic environments, and knowledge creation. Having established MPE as a credible theoretical lens for interpreting TQM, it can be used to clarify fuzzy areas that have remained in the TQM literature with the potential to take us beyond what we know now. We illustrate this with three examples that show how we can resolve debates in TQM over incentive systems, recognize that TQM embraces methodological pluralism in the collection and analysis of data, and highlight hidden dangers that attend benchmarking. While MPE has no monopoly on theoretical interpretations of TQM, it is unique in its ability to comprehensively cover the incredible breadth of this practical body of knowledge, and in its interpretation of TQM as a dynamic economic endeavour.     

An assessment of another decade of capital controls in Colombia: 1998–2008

We explore the effectiveness of capital controls in Colombia. We analyze the impact of administrative restrictions to capital flows on aggregate capital flows, the composition of capital flows, the real exchange rate, and economic activity using restricted versions of vector error correction models (VEC) that control for exogenous global financial conditions. The models are estimated using monthly data ranging from August of 1998 to May of 2008. In addition we estimate GARCH models to identify if capital controls have had relevant impacts on the volatility of the nominal exchange rate and of other relevant asset prices. These models are estimated using weekly data covering the same time period. Results suggest that the capital controls used since 1998 have been ineffective in reducing capital flows and the trend of the Colombian peso to appreciate. In addition there is no evidence suggesting a change in the composition of capital flows induced by capital controls. We find some evidence in favor of capital controls reducing nominal exchange rate volatility at high frequencies.     

Non-linear and non-symmetric exchange-rate adjustment: Evidence from medium- and high-inflation countries

This paper analyses a model of non-linear exchange rate adjustment that extends the literature by allowing asymmetric responses to over- and under-valuations. Applying the model to Greece and Turkey, we find that adjustment is asymmetric and that exchange rates depend on the sign as well as the magnitude of deviations, being more responsive to over-valuations than undervaluations. Our findings support and extend the argument that non-linear models of exchange rate adjustment can help to overcome anomalies in exchange rate behaviour. They also suggest that exchange rate adjustment is non-linear in economies where fundamentals models work well.