Excess Volatility of Exchange Rates with Unobservable Fundamentals

The authors present tests of excess volatility of exchange rates which impose minimal structure on the data and do not commit to a choice of exchange rate "fundamentals." The method builds on existing volatility tests of asset prices, combining them with a procedure that extracts unobservable fundamentals from survey-based exchange rate expectations. The method is applied to data for the three major exchange rates since 1984, and broad evidence is given of excess volatility with respect to the predictions of the canonical asset-pricing model of the exchange rate with rational expectations.     

Institutions and Cultural Heterogeneity as Determinants of National Income: A Random‐coefficients Stochastic Frontier Model

Previous research on total factor productivity (TFP) shows that cross‐country differences in income cannot be fully explained by stocks of capital (K), labor (L) and human capital (E). In addition, the omission of major production inputs or the use of proxies to estimate unobservable inputs leads to biased estimation results. This study addresses the above issues by employing a novel econometric approach and provides empirical evidence that a fixed production input, and therefore a country's income, is positively correlated with the existence of British‐style institutions and negatively correlated with cultural heterogeneity and Spanish‐style institutions. Our methodology is twofold. First, using data for 62 countries from 1980 to 2004, we regressed a random‐coefficients stochastic production frontier that allows estimating a fixed unobservable production input without using proxies. Second, the estimated fixed production input is shown to be related to colonial institutions and cultural heterogeneity by means of ordinary least squares and feasible generalized least squares regressions.     

FEER for the CFA franc

We investigate the behaviour of the real effective exchange rates (REER) of the two CFA franc zone monetary unions?–?CEMAC and WAEMU?–?vis-à-vis their long-run equilibrium paths. A reduced form of the Edwards’ (1989) fundamentals equilibrium exchange rate (FEER) model is estimated using the Johansen's (1995) cointegration methodology, and equilibrium paths and associated misalignments are derived for the period 1970 to 2005. Our results suggest that, for both CEMAC and WAEMU, the fundamentals account for most of the exchange rates’ fluctuation: increases in the terms-of-trade, government consumption and productivity tend to appreciate the exchange rate, while increases in investment and openness tend to depreciate it. At end of 2005, we find no evidence that either the CEMAC or WAEMU REERs were significantly over-valued, which suggests that no exchange rate action is currently needed. Our analysis also reveals significant differences in the fundamentals’ marginal impact, and speed of reversion to equilibrium following a shock, which may raise questions about the desirability of maintaining the same parity for both monetary unions.     

Seoul housing prices and the role of speculation

Between June 1998 and March 2006, the price index of apartment houses in Seoul, Korea, more than doubled, while fundamentals such as GDP, wage, and population increased by less than 35%. This study examines the role of a rational speculative bubble in this price surge. We find that unobservable information explains part of the price volatility; and that a rational bubble proxy is a significant driver of prices. However, neither latent information nor rational bubble is enough to explain the recent housing price appreciation, even in conjunction with observable fundamentals.     

CAN SECRET INTERVENTION BE COMPATIBLE WITH A NON‐PROFITMAKING CENTRAL BANK AND A FUNDAMENTAL‐CONSISTENT TARGET?

The coexistence of secret intervention operations and “the signaling channel” (Mussa. The Role of Official Intervention, 1981) seems confusing. Vitale ( Journal of International Economics, 49, 1999, 245–267) resolves this puzzle by employing an asymmetric information framework and an assumption of a fundamental‐inconsistent target for the exchange rate. Ferré and Manzano ( International Journal of Finance and Economics, 14, 2009, 378–393) follow Vitale's microstructure framework and argue that the central banks' profitability motivation offers a rationale for their secret intervention even under a target consistent with the fundamentals. However, that the authority uses its superior information to obtain speculative profits through secret intervention in the market is not a typical goal for central banks. To theoretically explain the opaqueness in non‐profitmaking central banks' exchange rate policies, we employ a model of a central bank's optimization by considering that no bank really knows the exact fundamental rate and they take into account the possible bad consequences of announcing the intervention. We also show that, in passing the bank's private information to market participants, a bank's announcement of the intervention size is equivalent to revealing its target rate. (JEL E58, F39)     

The responsiveness of industry wages to low‐frequency shocks in Canada

Abstract The first objective of this paper is to examine the empirical relationship between low‐frequency shocks to labour demand and average wages on an industrial basis using a Canadian longitudinal data set. We estimate a fixed‐effects model that controls for workers’ unobservable attributes. The second major objective is to extend the existing industry‐based literature by estimating a specification allowing for a comparison between the degree of wage responsiveness of within‐firm stayers and between‐firm movers. The findings indicate that average wages by industry tend to respond positively to low frequency changes in employment, and that there is some degree of wage flexibility within firm‐worker matches.     

Out‐of‐Sample Exchange Rate Forecasting and Macroeconomic Fundamentals: The Case of Japan

This study explores the respective out‐of‐sample exchange rate forecasting abilities of five macroeconomic fundamental models in comparison to a naïve random walk model for Japan during the post‐Bretton Woods era. To assess the influence of major economic changes, we estimate both linear and nonlinear models for all the macroeconomic fundamentals. Overall, most structural exchange rate models outperform a naïve random walk model in terms of forecasting accuracy in the short horizon. When the fundamentals are only linearly modelled, the forecasting ability of the Taylor rule is generally superior to other fundamental models. When the fundamentals are nonlinearly specified, the predictability of some other models rises dramatically to match that of the Taylor rule models in short and/or long horizons. Of importance, we determine that the yen/dollar exchange rate forecasting performance effectively improves in several fundamental models when influential economic changes are incorporated.     

Determinants of sovereign credit risk: the case of Russia

The article analyses external and domestic determinants of Russian sovereign credit risk from January 2001 to May 2015. The analysis is conducted in a time series framework, involving the ARDL approach and VECM model. External risk factors outperform domestic fundamentals. The VIX index and oil prices are the most important factors, followed by the Fitch credit rating changes and TED spread. There is evidence for the piggyback effect by S&P whose credit rating changes are driven by Fitch Ratings and Moody’s decisions. Among macroeconomic fundamentals only exchange rate dynamics and foreign reserves appear significant. The importance of the fundamentals further decreases when Granger (no) causality tests are conducted. The findings reveal a limited role of domestic macroeconomic policy in curbing Russian sovereign credit risk.     

MODEL UNCERTAINTY AND EXCHANGE RATE VOLATILITY*

This article proposes an explanation for shifts in the volatility of exchange‐rate returns. Agents are uncertain about the true data generating model and deal with this uncertainty by making inference on the models and their parameters' approach, I call model learning. Model learning may lead agents to focus excessively on a subset of fundamental variables. Consequently, exchange‐rate volatility is determined by the dynamics of these fundamentals and changes as agents alter models. I investigate the empirical relevance of model learning and find that the change in volatility of GBP/USD in 1993 was triggered by a shift between models.     

EXCHANGE RATE MANIPULATION AND CONSTRUCTIVE AMBIGUITY

I consider dynamic models in which investors are heterogeneously informed about both foreign exchange interventions and exchange rate fundamentals and show that transparency sometimes exacerbates misalignment between the exchange rate and fundamentals. Although transparency reveals information about fundamentals, it also increases the precision of the exchange rate as a signal of those fundamentals that remain unknown (the signal‐precision effect of transparency). If a central bank announcement reveals little information about fundamentals, then this effect dominates and transparency magnifies misalignment. One implication is that ambiguity can increase the effectiveness of intervention to support a declining currency during times of crisis.     

Predicting foreign exchange movements using historic deviations from PPP

The ability to forecast FX rates from historical exchange rate movements is examined. An eight nation study shows a currency's deviation from the rate predicted by PPP over a four year period can predict the direction of its movement in the subsequent one to four years. We show short term exchange rate movements of freely floating currencies are large in comparison with changes in economic fundamentals and these movements accumulate to create pressure which results in a predictable pattern of reversal. The results are robust across currencies and relatively insensitive to the time parameters used in the estimation.     

ON THE IMPACT OF FUNDAMENTALS,LIQUIDITY, AND COORDINATION ON MARKET STABILITY*

We develop a coordination game to model interactions between fundamentals and liquidity during unstable periods in financial markets. We then propose a flexible econometric framework for estimation of the model and analysis of its quantitative implications. The specific empirical application is carry trades in the yen–dollar market, including the turmoil of 1998. We find a generally very deep market, with low information disparities among agents. We observe occasional episodes of market fragility or turmoil with up by the escalator, down by the elevator patterns in prices. The key role of strategic behavior in the econometric model is also confirmed.     

FORECASTING THE UK/US EXCHANGE RATE WITH DIVISIA MONETARY MODELS AND NEURAL NETWORKS

This paper compares the UK/US exchange rate forecasting performance of linear and nonlinear models based on monetary fundamentals, to a random walk (RW) model. Structural breaks are identified and taken into account. The exchange rate forecasting framework is also used for assessing the relative merits of the official Simple Sum and the weighted Divisia measures of money. Overall, there are four main findings. First, the majority of the models with fundamentals are able to beat the RW model in forecasting the UK/US exchange rate. Second, the most accurate forecasts of the UK/US exchange rate are obtained with a nonlinear model. Third, taking into account structural breaks reveals that the Divisia aggregate performs better than its Simple Sum counterpart. Finally, Divisia‐based models provide more accurate forecasts than Simple Sum‐based models provided they are constructed within a nonlinear framework.     

FIXED‐WAGES,WAGE DIFFERENTIALS AND WORKER HETEROGENEITIES

We study incentive‐compatible labour contracts in the case where individual productivity, preference for leisure and time preference rate are unobservable by the principal in a two‐period model. We first reduce this three‐dimensional problem to a standard one‐dimensional screening problem. Features of second‐best labour contracts provide a rationale for both fixed‐wages and wage differentials.     

Wages and hazardous working conditions

The purpose of this paper is to provide a new empirical test for the existence of wage premiums paid to workers who are exposed to dangerous or unhealthy working conditions. Prior empirical studies have encountered problems with omitted ability data, omitted working conditions data and measurement error. The empirical model presented in this paper uses a difference specification to eliminate bias from omitted ability data. By assuming that all hazardous working conditions are measured by a single endogenous unobserved variable, this empirical model also eliminates bias due to omitted working conditions and measurement error. The empirical model is estimated using the 1973–7 version of the Quality of Employment Survey. The unique data in this survey facilitate estimation of a model in which working conditions are assumed to be unobservable. Using a two-stage technique for consistent and efficient estimation, the empirical results reported in this paper show that a compensating difference for hazardous work does exist.     

BAYESIAN ANALYSIS OF GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY AND STOCHASTIC VOLATILITY: MODELING LEVERAGE,JUMPS AND HEAVY‐TAILS FOR FINANCIAL TIME SERIES*

This paper develops a Bayesian model comparison of two broad major classes of varying volatility model, the generalized autoregressive conditional heteroskedasticity and stochastic volatility models, on financial time series. The leverage effect, jumps and heavy‐tailed errors are incorporated into the two models. For estimation, the efficient Markov chain Monte Carlo methods are developed and the model comparisons are examined based on the marginal likelihood. The empirical analyses are illustrated using the daily return data of US stock indices, individual securities and exchange rates of UK sterling and Japanese yen against the US dollar. The estimation results indicate that the stochastic volatility model with leverage and Student‐t errors yield the best performance among the competing models.     

International trade and directed search unemployment in general equilibrium

We develop an open economy general equilibrium model, with auction‐based directed search unemployment, to study the interactions of trade and unemployment. The theory ascribes all outcomes purely to the fundamentals of technology and endowment. If countries differ by endowment, trade makes both the unemployment rate and the rental in the capital‐(labour‐) abundant country rise (decline) but does not lead to equalization. If, alternatively, countries differ by technology, trade increases (decreases) the unemployment rate in the country whose technology is relatively superior (inferior) for producing the capital‐intensive good.     

The Target Zone Model, Non-Linearity and Mean Reversion: is the Honeymoon Really Over?

We estimate a target zone model for three ERM exchange rates for 1983–6 and 1987–91 by the method of simulated moments, taking account of the continuous time specification by using daily data with the interruptions of holidays and weekends. Specification tests are unable to reject the model. The estimates imply, however, an essentially linear relationship between the exchange rate and the fundamentals, with a very limited 'honeymoon effect'. Using Monte Carlo simulations, calibrated on the estimates, we find that standard tests for mean reversion of the exchange rate would largely reject the target zone model when, in fact, it held.     

The illusive quest: Do international capital controls contribute to currency stability?

We investigate the effectiveness of capital controls in insulating economies from currency crises, focusing in particular on both direct and indirect effects of capital controls and how these relationships may have changed over time in response to global financial liberalization and the greater mobility of international capital. We predict the likelihood of currency crises using standard macroeconomic variables and a probit equation estimation methodology with random effects. We employ a comprehensive panel data set comprised of 69 emerging market and developing economies over 1975–2004. Both standard and duration-adjusted measures of capital control intensity (allowing controls to “depreciate” over time) suggest that capital controls have not effectively insulated economies from currency crises at any time during our sample period. Maintaining real GDP growth and limiting real overvaluation are critical factors preventing currency crises, not capital controls. However, the presence of capital controls greatly increases the sensitivity of currency crises to changes in real GDP growth and real exchange rate overvaluation, making countries more vulnerable to changes in fundamentals. Our model suggests that emerging markets weathered the 2007–2008 crisis relatively well because of strong output growth and exchange rate flexibility that limited overvaluation of their currencies.