Productivity,Demand, and Regulated Price Effects Revisited: An Analysis of the Real Bilateral Exchange Rates of Four New EU Member States

This paper examines the behavior of internal price ratios and bilateral real exchange rates of a group of four new EU member states-Estonia, Hungary, Slovakia, and Slovenia. We employ a dynamic ordinary least squares panel estimator to investigate the relative importance of demand and supply influences on the internal and external exchange rates of these countries. Our analysis shows that both supply- and demand-side effects are important, though supply-side effects dominate. The paper also examines the role that administrated or regulated prices and the productivity of the distribution sector play in real exchange rate dynamics. We show that administrated prices have been a powerful force behind price and real exchange developments for our group of accession countries.     

The Local Whittle Estimator of Long-Memory Stochastic Volatility

We propose a new semiparametric estimator of the degree of persistencein volatility for long memory stochastic volatility (LMSV) models.The estimator uses the periodogram of the log squared returnsin a local Whittle criterion which explicitly accounts for thenoise term in the LMSV model. Finite-sample and asymptotic standarderrors for the estimator are provided. An extensive simulationstudy reveals that the local Whittle estimator is much lessbiased and that the finite-sample standard errors yield moreaccurate confidence intervals than the widely-used GPH estimator.The estimator is also found to be robust against possible leverageeffects. In an empirical analysis of the daily Deutsche Mark/USDollar exchange rate, the new estimator indicates stronger persistencein volatility than the GPH estimator, provided that a largenumber of frequencies is used.     

An equilibrium approach to pricing foreign currency options

The paper presents a modified version of the Garman-Kohlhagen formula for pricing European currency options. The equilibrium approach deviates from the no-arbitrage approach by allowing domestic and foreign interest rates and their dynamics to be determined endogenously in the model. By using the relations between exchange rate dynamics and the dynamics of interest rates, I provide a new characterisation of the relevant volatilities for European currency option pricing, which only depends on parameters describing the variability of the log-exchange rate. The implications of the model for the valuation of American currency options and optimal exercise strategies are examined by applying numerical methods.     

Analysis of the intraday effects of economic releases on the currency market

Using four years of second-by-second executed trade data, we study the intraday effects of a representative group of scheduled economic releases on three exchange rates: EUR/USD, JPY/USD, and GBP/USD. Using wavelets to analyze volatility behavior, we empirically show that intraday volatility clusters increase as we approach the time of the releases, and decay exponentially after the releases. Moreover, we compare our results with the results of a poll that we conducted of economists and traders. Finally, we propose a wavelet volatility estimator which is not only more efficient than a range estimator that is commonly used in empirical studies, but also captures the market dynamics as accurately as a range estimator. Our approach has practical value in high-frequency algorithmic trading, as well as electronic market making.     

Analysis of order book flows using a non-parametric estimation of the branching ratio matrix

We introduce a new non-parametric method that allows for a direct, fast and efficient estimation of the matrix of kernel norms of a multivariate Hawkes process, also called branching ratio matrix. We demonstrate the capabilities of this method by applying it to high-frequency order book data from the EUREX exchange. We show that it is able to uncover (or recover) various relationships between all the first-level order book events associated with some asset when mapped to a 12-dimensional process. We then scale up the model so as to account for events on two assets simultaneously and we discuss the joint high-frequency dynamics.     

Macroeconomic fundamentals and the exchange rate dynamics: A no-arbitrage macro-finance approach

In this paper, we propose an arbitrage-free international macro-finance model that links the exchange rate dynamics to macroeconomic fundamentals. Jointly using data on exchange rates, yields of zero-coupon bonds, and macroeconomic variables of the US and the Euro area, we find a close link between macroeconomic fundamentals and the exchange rate dynamics. The model-implied monthly exchange rate changes can explain about 57% variation of the observed data. The macroeconomic innovations can help capture large variation of exchange rate changes. Robustness checks show that the results also hold for other major exchange rates.     

Valuation Model of Defaultable Bond Values in Emerging Markets

This paper develops a model to value defaultable bonds in emerging markets. Default occurs when some signaling process hits a pre-defined default barrier. The signaling variable is considered to be some macro-economic variables such as foreign exchange rates. The dynamics of the default barrier depend on the volatility and the drift of the signaling variable. We derive a closed-form solution of the defaultable bond price from the model as a function of a signaling variable and a short-term interest rate. The numerical results show that the model values generated by using foreign exchange rates as the signaling variables can broadly track the market credit spreads of defaultable bonds in South Korea and Brazil. Given an expected level of the foreign exchange rate, defaultable bond values under a stressed market situation can be obtained.     

Memoria larga en el tipo de cambio nominal: evidencia internacional

This paper examines the dynamics of the exchange rate against the American dollar for several economies, developed and developing, in order to find evidence of long memory in the period 1971-2012. To do this, we apply the tests: Hurst coefficient, correlogram, variance graphic, Geweke and Porter-Hudak and the local Whittle estimator of Robinson. In this regard, Chile, China, Iceland, Israel, Mexico and Turkey presented evidence of long memory based on robust tests and, therefore, it was estimated for them an autoregressive integrated moving average model in the domains of time and frequency. In the time domain, we used the maximum likelihood method (Sowell, 1992), and in the frequency domain we apply the technique from Fox and Taqqu (1986). The results from the autoregressive integrated moving average model show that Chile, China, Iceland and Mexico have evidence of long memory in the exchange rate; the estimation method that presented the best fit to the original curve was the exact maximum likelihood method according to criteria Akaike information.     

The valuation of catastrophe bonds with exposure to currency exchange risk

In this paper, we present a new model that takes an arbitrage approach to the valuation of catastrophic risk bonds (CAT bonds). The model considers the sponsor's exposure to currency exchange risk and the risk of catastrophic events. We use a jump-diffusion process for catastrophic events, a three-dimensional stochastic process for the exchange rate and domestic and foreign interest rates, and a hedging cost for the currency risk to derive a semi-closed-form formula for the CAT bond price. We also extend to three factors Joshi and Leung's (2007) Monte Carlo simulation approach to obtain numerical results showing the following: in addition to catastrophic risk, the CAT bond price is affected mainly by the volatility of the exchange rate and its correlations with domestic and foreign interest rates. The first two factors have a negative impact while the third has a positive impact.     

Drivers of Exchange Rate Dynamics in Selected CIS Countries: Evidence from a Factor-Augmented Vector Autoregressive (FAVAR) Analysis

We investigate the likely sources of exchange rate dynamics in selected member countries of the Commonwealth of Independent States (CIS; Russia, Kazakhstan, Ukraine, Kyrgyzstan, Azerbaijan, and Moldova) over the past decade (1999-2010). Evidence is based on country VARs augmented by a regional common-factor structure (FAVAR model). The models include nominal exchange rates, the common factor of exchange rates in the CIS countries, and international drivers such as global trade, share prices, and oil price. Global, regional, and idiosyncratic shocks are identified in a standard Cholesky fashion. Their relevance for exchange rates is explored by a decomposition of the variance of forecast errors. The impact of global shocks on the development of exchange rates has increased, particularly if financial shocks are considered. Because of the recent global financial crisis, regional shocks have become more important at the expense of global shocks.     

The Effects of Productivity Shocks,Financial Shocks,and Monetary Policy on Exchange Rates: An Application of the Currency Crisis Model and Implications for Emerging Market Crises

What kind of shock affects exchange rate dynamics? How much of an effect does the monetary policy have on exchange rates? To answer these questions empirically based on the currency crisis model, I use panel data on 51 emerging countries from 1980 to 2011, identify shocks, and apply instrumental variable methods. I found that both productivity shocks and shocks to a country’s risk premium affect exchange rates and a 1 percentage point increase in the policy interest rate is associated with a 1 percentage point appreciation of domestic currency. I further apply this method to Asian and Latin-American crises.     

Investigating nonlinearities in real exchange rate adjustment: Threshold cointegration and the dynamics of exchange rates and relative prices

Motivated by growing evidence of nonlinear mean-reverting behavior in real exchange rates, this paper investigates the underlying dynamics in the context of a threshold vector error correction model (TVECM) of nominal exchange rate and relative prices. Unlike univariate models, our nonlinear multivariate framework takes into explicit account the joint behavior and individual dynamics of the nominal exchange rate and relative prices when these two key variables are threshold cointegrated. Our empirical application unravels their relative contribution to mean reversion and underscores the importance of capturing their interactions in investigating the nonlinear adjustment toward purchasing power parity.     

Does oil price have similar effects on the exchange rates of BRICS?

Motivated by the crucial status of oil price and exchange rates in world finance and economy, we apply daily data from August 2005 to February 2019 to investigate the impact of oil price shocks on the exchange rate of BRICS countries. This paper first adopts a new framework and EEMD method to decompose oil shocks and exchange rate series, respectively. With these econometric methods, the final research variables in this paper are constructed, including two types of oil shocks and three kinds of exchange rate series. The ARDL approach and VAR model are then employed to detect the influence of oil shocks on exchange rates in different frequencies, corresponding to the stationarity of series. The evidence, based on the original exchange rate series reveals that two oil price shocks can produce different effects on net oil-importing countries and net oil-exporting countries, while the results from different frequencies show that exchange rates will have a significant response to oil shocks only at a high frequency. It is worth noting that China is a unique case in BRICS, the relations between its exchange rate and oil price shocks is far insignificant than that of the other countries.     

Dynamical clustering of exchange rates

We use techniques from network science to study correlations in the foreign exchange (FX) market during the period 1991–2008. We consider an FX market network in which each node represents an exchange rate and each weighted edge represents a time-dependent correlation between the rates. To provide insights into the clustering of the exchange-rate time series, we investigate dynamic communities in the network. We show that there is a relationship between an exchange rate's functional role within the market and its position within its community and use a node-centric community analysis to track the temporal dynamics of such roles. This reveals which exchange rates dominate the market at particular times and also identifies exchange rates that experienced significant changes in market role. We also use the community dynamics to uncover major structural changes that occurred in the FX market. Our techniques are general and will be similarly useful for investigating correlations in other markets.     

The impact of FX central bank intervention in a noise trading framework

In this paper, we analyse the effectiveness of the direct central bank interventions using a new effectiveness criterion. To this aim, we investigate the effects of central bank interventions (CBI) in a noise trading model with chartists and fundamentalists. We first estimate a model in which chartists extrapolate past returns and fundamentalists forecast a mean reverting dynamics of the exchange rate towards a fundamental value. Then, we investigate the role of central bank interventions for explaining the switching properties between the two types of agents. We find evidence that in the medium run, interventions increase the proportion of fundamentalists and therefore exert some stabilizing influence on the exchange rate.     

Does financial globalization still spur growth in emerging and developing countries? Considering exchange rates

This paper analyzes the effects of financial globalization on growth in developing countries, focusing on its interaction with exchange rate volatility. Based on dynamic panel data models and the two-step system generalized method of moments (GMM) estimator, it replicates the method of Gaies et al. (2019a; 2019b) and extends it by exploring a new spillover effect of financial globalization in terms of exchange rate volatility measured by six different indicators. The findings show the positive influence of investment–globalization (foreign direct investment and portfolio investment) on growth through the traditional channel of capital accumulation and by reducing the negative impact of exchange rate volatility. These impacts are not insured by indebtedness–globalization (foreign debt), thereby shedding light on the government’s decision in developing countries on foreign capital control policy. These results are robust to changes in the estimator and variables used.     

Keep on smiling? The pricing of Quanto options when all covariances are stochastic

The paper introduces a model for the joint dynamics of asset prices which can capture both a stochastic correlation between stock returns as well as between stock returns and volatilities (stochastic leverage). By relying on two factors for stochastic volatility, the model allows for stochastic leverage and is thus able to explain time-varying slopes of the smiles. The use of Wishart processes for the covariance matrix of returns enables the model to also capture stochastic correlations between the assets. Our model offers an integrated pricing approach for both Quanto and plain-vanilla options on the stock as well as the foreign exchange rate. We derive semi-closed form solutions for option prices and analyze the impact of state variables. Quanto options offer a significant exposure to the stochastic covariance between stock prices and exchange rates. In contrast to standard models, the smile of stock options, the smile of currency options, and the price differences between Quanto options and plain-vanilla options can change independently of each other.     

Joint Cross-Section/Time-Series Maximum Likelihood Estimation for the Parameters of the Cox-Ingersoll-Ross Bond Pricing Model

We develop a joint maximum likelihood estimator for the interest rate risk premium and the parameters of the Cox, Ingersoll, and Ross bond pricing model. This new approach resolves difficulties inherent in previous approaches that use only time-series data or cross-sectional data. We apply the new approach to a large sample of joint time-series/cross-sectional data. The resulting estimated parameters explain simultaneously the changes in short-term interest rates and the prices of zero-coupon bonds with various maturities. We also identify and provide solutions to potential computational difficulties that other researchers are likely to face.     

Exchange Rates, Equity Prices, and Capital Flows

We develop an equilibrium model in which exchange rates, stockprices, and capital flows are jointly determined under incompleteforeign exchange (forex) risk trading. Incomplete hedging offorex risk, documented for U.S. global mutual funds, inducesthe following price and capital flow dynamics: Higher returnsin the home equity market relative to the foreign equity marketare associated with a home currency depreciation. Net equityflows into the foreign market are positively correlated witha foreign currency appreciation. The model predictions are stronglysupported at daily, monthly, and quarterly frequencies for 17OECD countries vis-à-vis the United States. Correlationsare strongest after 1990 and for countries with higher equitymarket capitalization relative to GDP, suggesting that the observedexchange rate dynamics is indeed related to equity market development.