Toward a multi-country model of exchange rate determination

This paper constructs a simple model of bilateral exchange rate determination in a three-country trading world. The results of the investigation indicate that exchange rate overshooting need not necessarily occur, although there is a presumption in favor of this result based on reasonable parameter values and provided that money demand functions do not exhibit great cross-country variation. The paper also reveals that increasing the number of countries is likely to diminish this presumption. It can be seen that the dynamic implications of such a disturbance are far more complex than in a one-country model.     

International asset markets and real exchange rate volatility

The real exchange rate is very volatile relative to major macroeconomic aggregates and its correlation with the ratio of domestic over foreign consumption is negative (Backus–Smith puzzle). These two observations constitute a puzzle to standard international macroeconomic theory. This paper develops a two country model with complete asset markets and limited enforcement for international financial contracts that provides a possible explanation of these two puzzles. The model performs better than a standard incomplete markets model with a single non-contingent bond unless very tight borrowing constraints are imposed in the latter. With limited enforcement for both domestic and international financial contracts, the model's asset pricing implications are brought into line with the empirical evidence, albeit at the expense of raising real exchange rate volatility.     

Stock prices and money velocity: a multi-country analysis

What kind of information do stock prices offer for predicting velocity? This paper develops previous work by Milton Friedman for the US economy and shows that in a panel of 25 countries a wealth effect derived from the stock market has negatively influenced the ratio of nominal income to a broad definition of money. Taking quarterly data for the period 1961–1998, the relationship holds in Japan, the UK and Switzerland; in Italy a substitution effect (away from money) has also been operating. Overall, these empirical findings indicate the presence of systematic influences of stock price fluctuations on money velocity and suggest that the repercussions of asset inflation and deflation on the behavior of monetary aggregates should be monitored. First version received: July 1998/Final version received: November 2000     

A risk-driven approach to exchange rate modelling

The paper presents a new approach to exchange rate modelling that augments the CHEER model with a sovereign credit default risk as perceived by financial investors making their decisions. In the cointegrated VAR system with nine variables comprised of the short- and long-term interest rates in Poland and the euro area, inflation rates, CDS indices and the zloty/euro exchange rate, four long-run relationships were found. Two of them link term spreads with inflation rates, the third one describes the exchange rate and the fourth one explains the inflation rate in Poland. Transmission of shocks was analysed by common stochastic trends. The estimation results were used to calculate the zloty/euro equilibrium exchange rate.     

Revisiting the interest rate–exchange rate nexus: a Markov-switching approach

In this paper the interest rate–exchange rate nexus and the effectiveness of an interest rate defense are investigated empirically. I present a reduced form evidence which characterizes the empirical relationship between interest rates and exchange rates. I use a Markov-switching specification of the nominal exchange rate with time-varying transition probabilities. Empirical evidence from six developing countries: Indonesia, South Korea, the Philippines, Thailand, Mexico, and Turkey indicates that raising nominal interest rates leads to a higher probability of switching to a crisis regime. Thus, the empirical results presented here may support the view that a high interest rate policy is unable to defend the exchange rate. Unlike other studies which consider linear models only, my findings are robust and consistent over different countries and crisis episodes (Asian 1997 crises, Mexico 1994 crisis, and Turkey 1994, 2001 crises). In order to explain the empirical findings, I construct a simple theoretical model by incorporating an interest rate rule in the model proposed by Jeanne and Rose (2002) [Jeanne, O., Rose, A.K., 2002. Noise trading and exchange rate regimes, Quarterly Journal of Economics. 117 (2) 537–569]. The model has multiple equilibria, and under plausible conditions, higher exchange rate volatility is associated with higher interest rates.     

Stock returns and mutual fund flows in the korean financial markets: a system approach

ABSTRACT

This paper investigates dynamic and causal relations between stock returns and mutual fund flows in Korea using a system method that utilizes information from the stock, bond, and money markets. For this purpose, we employ the Dynamic Seemingly Unrelated Regression, the Seemingly Unrelated Regression Error Correction Model, and two causality tests in a system method to account for cross-equation correlations among markets that have a close relationship with one another. Furthermore, we use the information in the variance-covariance matrix of residual to improve the efficiency of the statistical estimates. The empirical evidence from the system method indicates that fund flows do not respond to eliminate deviations from long-run equilibrium, and stock prices cause net fund flows in the Korean market, implying that investors move their money to the securities that yield higher returns to rebalance their investment portfolios in the short-run. Thus, our findings do not support the popular notion of mutual fund flows as the driving force behind rallies in the Korean financial markets.     

Inflation targeting and exchange rate volatility smoothing: A two-target,two-instrument approach

This paper introduces a strategy to model a small open economy, whose central bank has established two simultaneous policy objectives: an inflation target, and a maximum limit for nominal exchange rate volatility. In line with the Tinbergen–Aoki condition, the monetary authority establishes two policy instruments, one for accomplishing each target: the monetary policy rate, and the stock of foreign exchange reserves. Monetary policy analysis is built around a non-microfounded augmented New Keynesian DSGE model estimated through Bayesian techniques for the Guatemalan economy. It is found that each instrument is efficient in accomplishing its own target. Nevertheless, a coordinated effort is required for central bank policymakers before employing both instruments simultaneously, in order to avoid sending mixed signals to economic agents about its monetary policy stance, and endanger the achievement of its inflation target.     

Exchange rate differential and balance of payments under dual exchange markets

This paper develops a model of an economy that uses two exchange markets: an official market in which the exchange rate is determined by central bank intervention, and a free market in which the exchange rate is determined by market forces. The official market handles selected imports and exports, while the free market handles the remaining imports and exports, and capital transactions. The model is used to discuss the effects of various policies on the differential between the free and the official exchange rates and on the balance of payments.     

Balances of payments and exchange markets: A lost correspondence

The article presents an accounting framework capable of consistently describing on a worldwide scale international money (euro-currency) markets. It also shows that, in such a framework, interest rates on international money markets need not be explained by econometric models specific to such international markets, but could simply result from the appropriate aggregation of national econometric models. Finally, the author emphasizes that in a world in which a country's money can be created by the banking systems of other countries, the correspondence between a country's balance of payments equilibrium and the foreign exchange market for its own money is no longer valid.     

A geometric approach to disequilibrium exchange rate fluctuations: The case of Switzerland

This article deals with the effects of exchange rate fluctuations in non-Walrasian macromodels. A demand driven model (‘Keynesian Unemployment’) and a supply driven model (‘Classical Unemployment’), both estimated on Swiss data, are alternatively considered. In each case an exchange rate modification and possible accompanying policy measures are considered. The feasible consequences on employment and the balance of trade are investigated by means of a geometric comparative static technique. For each type of fix-price equilibrium, the favourable conditions for a devaluation and a revaluation are thus emphasised.     

Stock market uncertainty and interest rate behaviour: a panel GARCH approach

Using a dynamic panel GARCH model for Asian countries, we find that interest rates are significantly lower when stock market uncertainty is high. Evidence of a positive relationship between stock market uncertainty and interest rate volatility is also provided.     

Communication in markets: A suggested approach

This paper draws attention to the problem of the communication of information between individuals. It suggests a mathematical tool, the theory of stochastic graphs which should prove particularly useful when modelling situations in which such communication is imperfect. Examples of the sort of result which may be obtained using this tool are given.     

Testing for efficiency in selected developing foreign exchange markets: An equilibrium-based approach

This paper proposes an alternative way of testing FOREX efficiency for developing countries. The FOREX market will be efficient if fully reflects all available information. If this holds, the actual exchange rate will not deviate significantly from its equilibrium rate. Moreover, the spot rate should deviate from its equilibrium rate by only transitory components (i.e. it should follow a white noise process). This test is applied to three Central and Eastern European Countries — members of the EU. Considering an LSTAR model we find no evidence of nonlinear adjustment in the misalignment series. So, linear unit root tests imply that the Poland/Euro FOREX market is efficient, the Czech/Euro FOREX market is not, while the Slovak/Euro FOREX market is quasi-efficient.     

A wavelet decomposition approach to crude oil price and exchange rate dependence

This paper studies the relationship between oil prices and US dollar exchange rates using wavelet multi-resolution analysis. We characterized the oil price–exchange rate relationship for different timescales in an attempt to disentangle the possible existence of contagion and interdependence during the global financial crisis and analyze possible lead and lag effects. For crude oil prices and a range of currencies, we show that oil prices and exchange rates were not dependent in the pre-crisis period; however, we did find evidence of contagion and negative dependence after the onset of the crisis. Additionally, we found that oil prices led exchange rates and vice versa in the crisis period but not in the pre-crisis period. These findings have important implications for risk management, monetary policies to control oil inflationary pressures and fiscal policy in oil-exporting countries.     

Analyzing exchange rate uncertainty and bilateral export growth in China: A multivariate GARCH-based approach

Dramatic changes to exchange rate policy for the world's largest exporter have arguably ushered in the optimal environment for studying the effects of exchange rate uncertainty on trade. This study builds on the recent literature by using an extremely general model that measures volatility using the flexible multivariate DCC-GARCH model to analyze the impact exchange rate uncertainty has on bilateral export growth for China's ten largest export markets. All model parameters are estimated simultaneously and lagged values of uncertainty are included for a full year, where significant effects are found. The more general methods potentially overcome issues associated with inefficient two-step methods and the assumption that volatility impacts are close to instantaneous. Using a comprehensive sample that spans 1994–2017, the paper presents evidence that exchange rate uncertainty has no impact on trade with the United States, which strongly contrasts a robust finding of trade deterring impacts for almost all remaining countries. The unifying methodology is also used to analyze nominal uncertainty itself. Here, it is found that Chinese inflation may be a positive contributor to risk in an environment where many exogenous events, such as the Asian currency crisis, are associated with periods of heightened yuan uncertainty.     

Stock markets in GCC countries and global factors: A further investigation

This paper investigates the long-run links between stock markets of the Gulf Cooperation Countries (GCC) and three global factors, including oil price, MSCI (Morgan Stanley Capital International) world index and US interest rate. Unlike previous empirical works, we employ econometric techniques that account for simultaneously the effects of heterogeneity, cross-country dependence and unknown regime-shifts in order to examine the sensitivity of GCC stock markets to movements of global factors. Our findings are of great interest since they show strong evidence of nonlinear long-run relationship between the variables of interest when there is dependence between countries, and indicate that the global factors have predictability effect on most GCC stock markets. We also stress the importance of including regime-shifts in the analysis that leads to more reliable conclusions than those obtained in the literature by neglecting structural breaks.     

Stock markets in transition: the Warsaw experiment1

This paper investigates the development from 1991 to 1994 of the Warsaw Stock Exchange, which opened on April 16th, 1991. An overview is presented focusing first on the deepening of the equity market, with a still limited but increasing number of listed companies, and then on the high trading activity and price dynamics with their impressive outburst in 1993. Three important dimensions are thereafter analyzed: the relevance of organizational and regulatory choices, the degree of market inefficiency and the origin of the discrepancy between IPO prices and first quoted market prices. Concluding remarks concentrate on the market's ability to fulfil its fundamental tasks.     

A fractal analysis of foreign exchange markets

Long memory in foreign exchange markets is examined for the post-Bretton Woods period using Lo's [1991] modified rescaled range (R/S). Conventional R/S techniques are presented for comparison. Unlike conventional techniques, Lo's analysis is robust to short-term dependence and conditional heteroskedasticity. Significant long memory and fractal structure are conclusively demonstrated for all 22 countries studied, indicating that traditional econometric methods are inadequate for analyzing foreign exchange markets. However, short-term dependence and conditional heteroskedasticity are also present, making it difficult to describe the nature of the long memory process or processes in foreign exchange markets. The average nonperiodic cycle ranges from 7 months for Canada and the United Kingdom, to approximately 20 months for Austria, Finland, France, Germany, Ireland, Japan, Malaysia, Netherlands, Sweden, and Switzerland. No support is found for the efficient market hypothesis. Results broadly agree with those provided by less sophisticated, less robust R/S methodologies and suggest the possibility that traditional technical analysis should be able to achieve systematic positive returns. This paper was presented at the Forty-Sixth International Atlantic Economic Conference, Boston, MA, October 8–11, 1998. The author is profoundly indebted to the session discussant, Takashi Kamihigashi, and to Nicholas Apergis for many helpful comments, to colleague Patrick Allen Hays who provided FORTRAN programs to estimateH and perform the Lo analysis and who provided immeasurably invaluable advice and support, to student Mark Douglas Wells, Jr. who assisted as part of the undergraduate honors project in the Honors College of Western Carolina University, and to an anonymous referee whose comments greatly improved the paper. Responsibility for any shortcomings belong to the author.