Fluctuations in the foreign exchange market: How important are monetary policy shocks?

We study the effects of U.S. monetary policy shocks on the bilateral exchange rate between the U.S. and each of the G7 countries. We also estimate deviations from uncovered interest rate parity conditional on these shocks. The analysis is based on a structural vector autoregression in which monetary policy shocks are identified through the conditional heteroscedasticity of the structural disturbances. Unlike earlier work in this area, our empirical methodology avoids making arbitrary assumptions about the relevant policy indicator or transmission mechanism in order to achieve identification. At the same time, it allows us to assess the implications of imposing invalid identifying restrictions. Our results indicate that the nominal exchange rate exhibits delayed overshooting in response to a monetary expansion, depreciating for roughly ten months before starting to appreciate. The shock also leads to large and persistent departures from uncovered interest rate parity. Variance-decomposition results indicate that monetary policy shocks account for a non-trivial proportion of exchange rate fluctuations.     

The Relationship between Exchange Rates and Interest Rate Differentials: A Wavelet Approach

This paper uses wavelet analysis to investigate the relationship between the spot exchange rate and interest rate differential for seven pairs of countries, with a small country, Sweden, included in each case. The key empirical results show that there tends to be a negative relationship between the spot exchange rate (domestic‐currency price of foreign currency) and nominal interest rate differential (approximately the domestic interest rate minus the foreign interest rate) at the shortest timescales, while a positive relationship is more frequently found at the longest timescales. This indicates that among models of exchange rate determination using the asset approach, the sticky‐price models are supported in the short run and flexible‐price models in the long run.     

Order flow and exchange rate dynamics in electronic brokerage system data

We analyze the association between order flow and exchange rates using a new dataset representing a majority of global interdealer transactions in the two most-traded currency pairs at the one minute frequency over a six-year time period. This long span of high-frequency data allows us to gain new insights about the joint behavior of these series. We first confirm the presence of a substantial association between interdealer order flow and exchange rate returns at horizons ranging from 1 min to two weeks, but find that the association is substantially weaker at longer horizons. We study the time-variation of the association between exchange rate returns and order flow both intradaily and over the long term, and show that the relationship appears to be stronger when market liquidity is lower. Overall, our study supports the view that liquidity effects play an important role in the relationship between order flow and exchange rate changes. This by no means rules out a role for order flow as a channel by which fundamental information is transmitted to the market, as we show that our findings are quite consistent with a recent model by Bacchetta and Van Wincoop (2006: Can information heterogeneity explain the exchange rate determination puzzle? American Economic Review, 96, pp. 552–576.) that combines both liquidity and information effects.     

Monetary policy and exchange rate overshooting: Dornbusch was right after all

Dornbusch's exchange rate overshooting hypothesis is a central building block in international macroeconomics. Yet, empirical studies of monetary policy have typically found exchange rate effects that are inconsistent with overshooting. This puzzling result has been viewed by some researchers as a “stylized fact” to be reckoned with in policy modelling. However, many of these studies, in particular those using vector autoregressive (VARs) approaches, have disregarded the strong contemporaneous interaction between monetary policy and exchange rate movements by placing zero restrictions on them. In contrast, we achieve identification by imposing a long-run neutrality restriction on the real exchange rate, thereby allowing for contemporaneous interaction between the interest rate and the exchange rate. In a study of four open economies, we find that the puzzles disappear. In particular, a contractionary monetary policy shock has a strong effect on the exchange rate, which appreciates on impact. The maximum effect occurs within 1-2 quarters, and the exchange rate thereafter gradually depreciates to baseline, consistent with the Dornbusch overshooting hypothesis and with few exceptions consistent with uncovered interest parity (UIP).     

Export Performance,Invoice Currency and Heterogeneous Exchange Rate Pass‐through

Using comprehensive, shipment‐level merchandise trade data for a small, open economy, we examine heterogeneity in exporters' exchange rate pass‐through (ERPT) behaviour. We draw together two recent studies of ERPT, linking invoice currency decisions and firm performance to heterogeneity in ERPT. Like these studies, we find that the short‐run reaction of export unit values to exchange rate fluctuations is significantly related to both invoice currency choice and exporter characteristics when these are analysed separately. However, we then show that when the two factors are jointly accounted for, the role of exporter characteristics largely disappears. That is, some firm types are more inclined to invoice in the producer currency, while others use either the local or a vehicle currency. In the short run, this translates into differences in exchange rate pass‐through because of price rigidity in the invoice currency. Firm characteristics do not have an independent impact on pass‐through beyond their effect on currency composition. Differences across invoice currencies diminish over time, but do not disappear, as prices adjust to reflect bilateral exchange rate movements.     

Causes of nonlinearities in low-order models of the real exchange rate

This paper investigates the extent to which modern DSGE models, which feature local currency pricing, home bias, nontraded goods, and incomplete markets, can generate nonlinear real exchange rate dynamics that are consistent with those found in the time series literature using data from the current floating period. Our key findings are as follows. First, if the true model can be appropriately characterized as a set of linear equations, then linearity tests that utilize univariate autoregressions of the real exchange rate suffer from an omitted variables problem, which leads them to overestimate the true incidence of nonlinearity. Consequently, studies that fail to control for this problem may spuriously find evidence of nonlinearities in the data, despite the fact that the data generating process may be linear. Second, we propose a strategy that can largely eliminate this distortion. Finally, we find that DSGE models solved using higher order approximations are capable of generating true structural nonlinearities in real exchange rates both asymptotically and in short samples.     

FX Market Returns and Their Relationship to Investor Fear

This note examines the relationship between changes in levels of investor fear (measured by the implied volatility index) and foreign exchange market returns. Our empirical results indicate a negative relationship between daily returns on high‐interest rate (investing) currencies and changes in the implied volatility index, while the association is positive for low‐interest rate (funding) currencies. That is, investing (funding) currencies tends to depreciate (appreciate) when investor fear increases. A sequential breakpoint test identifies a significant change in this relationship in the period following the 2008 collapse of Lehman Brothers, and another in 2012 following the resolution of the European sovereign debt crisis, which suggests that the relationship is linked to financial system liquidity. During the crisis period, currency returns are much more sensitive to changes in investor fear, and this is particularly so for funding currencies that are perceived to present a safe‐haven. The results have important implications for international finance, and those looking to speculate via the carry trade.     

Can social microblogging be used to forecast intraday exchange rates?

The Efficient Market Hypothesis (EMH) is widely accepted to hold true under certain assumptions. One of its implications is that the prediction of stock prices at least in the short run cannot outperform the random walk model. Yet, recently many studies stressing the psychological and social dimension of financial behavior have challenged the validity of the EMH. Toward this aim, over the last few years, internet-based communication platforms and search engines have been used to extract early indicators of social and economic trends. Here, we used Twitter’s social networking platform to model and forecast the EUR/USD exchange rate in a high-frequency intradaily trading scale. Using time series and trading simulations analysis, we provide some evidence that the information provided in social microblogging platforms such as Twitter can in certain cases enhance the forecasting efficiency regarding the very short (intradaily) forex.     

Valuation and Hedging of Differential Swaps

This paper derives a general‐form formula for pricing and hedging differential swaps with the principal denominated either in a domestic, foreign, or third‐country currency. We first derive the formula for differential swaps with the principal in a domestic currency and identify an error in the formula of Wei (1994). We then show the pricing duality between differential swaps with the principal in a domestic currency and differential swaps with the principal in a foreign currency. Finally, we complete the pricing and hedging analysis on differential swaps by deriving a formula for differential swaps with the principal denominated in a third‐country currency. Simulation results indicate that constant margin rates are generally smaller than interest rate differentials and decline with the tenor of swaps. Correlation parameters associated with the exchange rate play a more important role than correlation parameters among interest rates in pricing differential swaps. © 2002 John Wiley & Sons, Inc. Jrl Fut Mark 22:73–94, 2002     

Surges

This paper examines when and why capital sometimes surges to emerging market economies (EMEs). Using data on net capital flows for 56 EMEs over 1980−2011, we find that global factors, including US interest rates and investor risk aversion act as “gatekeepers” that determine when surges of capital to EMEs will occur. Whether a particular EME receives a surge, and the magnitude of that surge, however, depends largely on domestic factors such as its external financing need, capital account openness, and exchange rate regime. Differentiating between surges driven by exceptional behavior of asset flows (repatriation of foreign assets by domestic residents) from those driven by exceptional behavior of liability flows (nonresident investments into the country), shows the latter to be relatively more sensitive to global factors and contagion.     

Chaos and the exchange rate

Chaotic exchange rate models are structural models built in discrete time (difference equations), and show that with orthodox assumptions (PPP, interest parity, etc) and introducing plausible nonlinearities in the dynamic equations, it is possible to obtain a model capable of giving rise to chaotic motion. However, none of these models is estimated, and the conclusions are based on simulations: the empirical validity of these models is not tested. In this paper, a continuous time (the exchange rate is obviously a continuous variable) exchange rate model is built as a non-linear set of three differential equations and its theoretical properties (steady state, stability, etc,) analysed. The model is then econometrically estimated in continuous time with Italian data and examined for the possible presence of chaotic motion. This paper also shows that the continuous time estimation of economic models built as systems of nonlinear differential equations is a very powerful tool in the hands of the profession.     

Dissecting the dynamics of the US trade balance in an estimated equilibrium model

In an estimated two-country DSGE model, we find that shocks to the marginal efficiency of investment account for more than half of the forecast variance of cyclical fluctuations in the US trade balance. Both domestic and foreign marginal efficiency shocks generate a strong effect on the variability of the imbalance, through shifts in international relative absorption. On the other hand, shocks to uncovered interest parity and foreign export prices, which transmit mainly via the terms of trade and exchange rate, have a strong influence at short forecast-horizons, before the investment disturbances begin their dominance.     

Export prices,selection into exporting and market size: Evidence from China and India

This paper empirically analyses the export pricing behaviour of Chinese and Indian exporters when there is selection into exporting. Previous exchange rate pass-through estimates that did not take selection into account could be biased if selection into exporting is correlated with pricing strategy. We use 6-digit product-level data across high- and low-income export destinations over the period 1994–2007 and assess a number of determinants of the degree of pass-through of exchange rates to export prices, such as the level of external demand, exporter’s wage cost, degree of competition in export markets, currency volatility and the direction of currency movements. We find systematic differences in the pricing strategies of Chinese and Indian exporters while uncovering a selection bias in exports to high-income markets, although the pricing of exports to low-income markets is independent of the decision to export. Export prices do not increase systematically with the destination market per capita income, and tend to be less sensitive in shipments to advanced nations. Export prices of India are sensitive to the volatility of the trade-weighted nominal effective exchange rate (NEER), indicating heterogeneity in prices to maintain competitiveness, but not in China as volatility is insignificant given a fixed currency system. It is also revealed that a country with a relatively flexible currency regime and arms-length trade such as India is more likely to exhibit incomplete pass-through, whereas a country with an inflexible currency system and involved in outward processing trade is more likely to have full pass-through as shown in the case of China.     

Political and Institutional Factors in Regime Changes in the ERM: An Application of Duration Analysis

This paper analyses the functioning of the European Exchange Rate Mechanism (ERM). To that end, we apply duration models to estimate an augmented target‐zone model, explicitly incorporating political and institutional factors into the explanation of European exchange rate policies. The estimations are based on quarterly data of eight currencies participating in the ERM, covering the complete history of the European Monetary System. Our results suggest that both economic and political factors are important determinants of ERM currency policies. Concerning economic factors, the money supply, the real exchange rate, the interest rate in Germany and the central parity deviation would have negatively affected the duration of a given central parity, while credibility and the price level in Germany would have positively influenced such duration. Regarding political variables, elections, central bank independence and left‐wing administrations would have increased the probability of maintaining the current regime, while unstable governments would have been associated with more frequent regime changes. Moreover, we show how the political augmented model outperforms the model which just incorporates pure economic determinants, both in terms of explanatory power and goodness of fit.     

论国际金融市场的利率传导机制

当国际金融市场的利率与一国利率存在差距时,国际资本便会流入或流出,随之又会影响其他国家的资本供给和利率。由于利差的经常存在,国际游资数额巨大,利率差的传导渠道不容低估。从利率的流动性效应着手,运用开放经济条件下利率传导的基本原理及利率、汇率和通胀率之间的关联性,分析国际金融市场利率传导机制的表现,得出来自利率汇率平价机制的市场性传导在金融全球化过程中有力地影响着各国的利率水平,并且通过实际利率的变化影响经济运行步伐。     

Out-of-sample exchange rate predictability with Taylor rule fundamentals

An extensive literature that studied the performance of empirical exchange rate models following Meese and Rogoff's [Meese, R.A., Rogoff, K., 1983a. Empirical Exchange Rate Models of the Seventies: Do They Fit Out of Sample? Journal of International Economics 14, 3-24.] seminal paper has not convincingly found evidence of out-of-sample exchange rate predictability. This paper extends the conventional set of models of exchange rate determination by investigating predictability of models that incorporate Taylor rule fundamentals. We find evidence of short-term predictability for 11 out of 12 currencies vis-à-vis the U.S. dollar over the post-Bretton Woods float, with the strongest evidence coming from specifications that incorporate heterogeneous coefficients and interest rate smoothing. The evidence of predictability is much stronger with Taylor rule models than with conventional interest rate, purchasing power parity, or monetary models.     

论国际金融市场上利率传导的机理及表现

当国际金融市场的利率与一国利率存在差距时 ,国际资本便会流入或流出 ,随之又会影响其他国家的资本供给和利率。由于利差的经常存在 ,国际游资数额巨大 ,利率差的传导渠道不容低估。本文从利率的流动性效应着手 ,运用开放经济条件下利率传导的基本原理及利率、汇率和通胀率之间的关联性 ,分析国际金融市场利率传导机制的表现 ,得出来自利率、汇率平价机制的市场性传导在金融全球化过程中有力地影响着各国的利率水平 ,并且通过实际利率的变化影响经济运行步伐。     

Currency mismatches and monetary policy: A tale of two equilibria

We develop a model of a small economy whose residents choose whether to borrow in domestic or foreign currency. The central bank, in turn, chooses fixed or flexible exchange rates, taking the currency denomination of debts as given. We characterize the simultaneous determination of portfolios and exchange rate regime. Both floating and fixed rates can occur as equilibrium outcomes. “Fear of floating” may emerge endogenously and in association with a currency mismatch in assets and liabilities. If equilibria with both fixed rates and floating rates coexist, the latter is Pareto superior. Lessons for current “de-dollarization” proposals are discussed.     

The impacts of RMB internationalization on onshore and offshore RMB markets

Using the DCC-GARCH model, this study considers distinctive features of China's foreign exchange market to investigate the impacts of RMB internationalization on exchange rates in onshore and offshore markets in different stages during 2010–2017. The results show that policies concerning RMB internationalization, such as interest rate liberalization, exchange rate liberalization, and capital market internationalization, have different impacts on the central parity rate, onshore exchange rate, and offshore exchange rate. In terms of exchange rate liberalization, as the daily trading band was gradually widened in 2012–2015, the onshore exchange rate followed the offshore exchange rate more closely. The central parity rate functioned as a managed floating role. It stabilized onshore and offshore exchange rate fluctuations, while allowing partial marketization. After the exchange rate reform on August 11, 2015, the central parity rate plays a benchmark role based on a more market-oriented price formation mechanism. It makes the central parity rate regain pricing power in onshore and offshore markets. Further, it promotes exchange rate liberalization and RMB internationalization. Nevertheless, with the slowdown of China's economic growth and the narrowing of the interest rate differential between China and the US, the RMB is under pressure to depreciate, and its volatility increases significantly.     

An interest rate defense of a fixed exchange rate?

Defending a government's exchange-rate commitment with active interest rate policy is not an option in first-generation models of speculative attacks. In those models, the interest rate is the passive reflection of currency-depreciation expectations. In this paper, we show how to adapt the first-generation framework to allow for an interest rate defense. It is shown that increasing domestic currency interest rate before the attack makes domestic assets more attractive according to an asset substitution effect, but weakens the domestic currency by increasing the government's fiscal liabilities. As a result, an interest rate defense can be successful only conditional on sound fiscal policy.