Monetary Exchange Rate Model Research Articles

Impact of asymmetry on exchange rate determination: The role of fundamentals

This study tries to take a new look at the exchange rate determination model by employing recent developments in time series estimation methodologies. For this purpose, the validity of the sticky price monetary exchange rate model has been searched for the Turkish lira / US dollar case. Estimation results considering both linear and non–linear modeling approaches highly support the theoretical foundations and reveal explicitly the asymmetric nature of the model. The paper infers that since the nominal exchange rate seems to be determined through the economic fundamentals, it should not be used as a policy tool with a long–term perspective.

A monetary model of exchange rate beats the random walk forecast even at a short horizon: Evidence from the Serbian hyperinflation at daily frequency

This paper finds that an out-of-sample forecast of a monetary model of exchange rate (MMER) in hyperinflation decisively beats a random walk one particularly at the most challenging one step ahead forecast, thus outperforming standard results previously obtained for low inflation episodes. The findings refer to the Serbian hyperinflation at daily frequency, and are robust with respect to various tests. Fast adjustment of the exchange rate to its fundamental value and the low, well below one discount factor found in the Serbian episode, as opposed to low-inflation ones, can account for divergent results in the respective inflation environments. The low discount factor appears in other hyperinflation episodes, while fast adjustment is due to the absence of nominal rigidities in hyperinflation thus both suggesting that reported findings for one episode might generalize.

Testing monetary exchange rate models with the Westerlund panel cointegration test

Time series testing of long-run monetary models of exchange rate determination in most cases fails to support the conjectures of the theory. The empirical literature increasingly uses the panel technique when testing monetary exchange rate models because the power of the panel unit root and panel cointegration tests seems higher than the pure time series tests. In this paper we examine the validity of the monetary exchange rate models over the period 1996Q1-2011Q4 for US dollar exchange rates of 15 OECD countries using Westerlund’s 2007 panel cointegration tests. We found moderate empirical support for monetary exchange rate models.

Oil Prices and the U.S. Dollar Exchange Rate: Evidence from the Monetary Model

This paper analyzes how changes in global oil prices affect the US dollar (USD) exchange rate based on the monetary model of exchange rate. We find evidence indicating a negative relationship between oil prices and the USD exchange rate against 12 currencies. Specifically, the analysis of the impulse response function shows that the depreciation rate of the USD exchange rate ranges between 0.002 and 0.018 percentage points as a result of a one-standard deviation positive shock to the real price of crude oil. In the same vein, the forecast error variance decomposition analysis reveals that variation in the USD exchange rate is largely attributable to changes in the price of oil rather than monetary fundamentals. In last, the out-of-sample forecast exercise indicates that oil prices enhance the predictability power of the monetary model of exchange rate.

The forward premium puzzle and Markov-switching adaptive learning,

Using Markov-switching adaptive learning, this paper builds on adaptive learning (AL) techniques pioneered in Evans and Honkapohja (2001, 2012) and presents an empirical analysis and explanation of the forward premium puzzle, first characterized in Fama (1984). Furthermore, this paper addresses the need for using mean-square stability as the criterion for stability when observing state dependent parameters rather than the traditional stability conditions presented by Blanchard and Kahn. Using these tools, I am able to parameterize a monetary exchange rate model to mimic the empirical observations which lead to the forward premium puzzle. I find that agents who possess knowledge of central bank interest rate regime changes and who use constant gain learning can replicate the negative bias present found in the forward premium regression. By using a robust parameterization aimed at weighting information in a representative agent's learning process, I am able to remove the negative bias found empirically in the forward premium regression. The central finding of this paper is that under constant gain learning, regime changes by central banks, modeled by Markov-switching liquidity preferences, explain the forward premium bias found empirically. This is different from most research, which focuses on persistent monetary model fundamentals to explain the bias. This result holds under robust parametrizations of constant gain learning, monetary fundamental persistence, and Markov-switching liquidity preferences, which govern the model. Thus, this paper offers a novel solution to the forward premium puzzle.

Panel Analysis of Monetary Model of ASEAN-5 Exchange Rates

In this study, we examined whether the exchange rates in ASEAN-5 countries are driven by monetary fundamentals. We applied the panel unit root tests and found that the United States denominated nominal exchange rates of Malaysian Ringgit, Indonesian Rupiah, Philippines Peso, Singapore Dollar, and Thailand Baht are all integrated of order one. Meanwhile, relative money supply and relative real income are also integrated in the same order. Nonetheless, the relative interest rate is integrated in order zero, and it implies the uncovered interest rate parity held in ASEAN-5. By using a panel cointegration test pioneered by Pedroni (2000, 2004), we found evidence that there is a long-run relationship between nominal exchange rate and its monetary fundamentals. Consistent with the monetary model of the exchange rate, relative money supply is positively related to nominal exchange rates, while relative real income is negatively related to nominal exchange rates. Therefore, this study reveals the importance of relative real money supply and relative income for the exchange rate market players to predict and monitor ASEAN-5 exchange rates.

Does Pak-Rupee Exchange Rate Respond to Monetary Fundamentals? A Structural Analysis

This study empirically examines the contribution of monetary fundamentals in explaining nominal exchange rate movements in the case of Pak-rupee vis-à-vis US-dollar over the period 1982Q2 to 2014Q2. The empirical results support the existence of cointegration relationship between nominal exchange rate and monetary fundamentals. The results reveal that relative money stocks and real income are the key drivers of exchange rate determination in Pakistan in the long-run. For dynamic interaction, the Structural Vector Autoregressive (SVAR) method is applied. Results from the SVAR show that the responses of exchange rate to shocks, originated from money supply, income, interest rate and inflation differentials, are consistent with the predictions of the flexible-price variant of the monetary model of exchange rate in the short-run. More specifically, the results indicate that inflation and interest rate differential explain maximum variations in exchange rate in the short-run. In essence, results suggest that monetary fundamentals are the key drivers of exchange rate fluctuations in Pakistan, especially in the short-run. JEL Classification: F31, F33, C32, F41 Keywords: Monetary Model, Exchange Rate, SVAR, Pakistan

The Impact of Divisia Money on Monetary Model of Exchange Rate in Indonesia

The Impact of Divisia Money on Monetary Model of Exchange Rate in Indonesia

An Artificial Neural Network-Based Approach to the Monetary Model of Exchange Rate

This paper aims to investigate the predictive accuracy of the flexible price monetary model of the exchange rate, estimated by an approach based on combining the vector autoregressive model and multilayer feedforward neural networks. The forecasting performance of this nonlinear, nonparametric model is analyzed comparatively with a monetary model estimated in a linear static framework; the monetary model estimated in a linear dynamic vector autoregressive framework; the monetary model estimated in a parametric nonlinear dynamic threshold vector autoregressive framework; and the naive random walk model applied to six different exchange rates over three forecasting periods. The models are compared in terms of both the magnitude of their forecast errors and the economic value of their forecasts. The proposed model yielded promising outcomes by performing better than the random walk model in 16 out of 18 instances in terms of the root mean square error and 15 out of 18 instances in terms of mean return and Sharpe ratio. The model also performed better than linear models in 17 out of 18 instances for root mean square error and 14 out of 18 instances for mean returns and Sharpe ratio. The distinguishing feature of the proposed model versus the present models in the literature is its robustness to outperform the random walk model, regardless of whether the magnitude of forecast errors or the economic value of the forecasts is chosen as a performance measure.

Exchange Rates and Monetary Fundamentals: Evidence from Turkey

(ProQuest: ... denotes formulae omitted.)1. IntroductionExchange rates, which is simply the price of one currency in terms of another currency, are one of the key component of the macroeconomics discussions in the literature. If one want to understand why some currencies depreciate and others appreciate, the factors that cause the change in supply and demand of currencies must be investigated. These factors include various fundamentals such as real income, inflation rates, real interest rates, consumer preferences, and government trade policy. For example, Purchasing Power Parity (PPP) states that a country's currency will depreciate by an amount equal to the excess of domestic inflation over foreign inflation while Uncovered Interest Parity (UIP) suggests that the interest rate differentials change the exchange rates. Traditional Flow Approach, which is also called the balance-ofpayments view, states that exchange rate moves to keep the balance of payments in equilibrium under the assumption of no government interventions. On the other hand, nominal exchange rate fluctuations should reflect movements in a country's monetary fundamentals such as relative money, output, interest rates and prices, according to the Monetary Model of Exchange Rate Determination.One of the important debates centers on the international economics is the difficulty of predicting exchange rates by using monetary fundamentals such as money supplies, outputs, and interest rates. As stated above, some theories in the economic literature claim that the exchange rates might be determined by such fundamental variables. However, since Meese and Rogoff (1983), it has been considered that exchange rates are very difficult to predict using monetary fundamentals; in particular, a simple random walk without drift (RW), is found to produce better exchange rate forecasts than fundamental-based exchange rate models. In other words, fundamental variables do not help predict future changes in exchange ratesMeese and Rogoff's (1983) finding was a shock for economists since monetary fundamentals have long been considered key determinants of exchange rates. If their finding is true, then all exchange rate models based on the fundamentals are misleading. Therefore, large numbers of studies have attempted to refute Meese and Rogoff's findings and find positive results in favor of fundamentals-based models. One of the most well-known rebuttals to Meese and Rogoff's work is Mark's (1995) study. Mark concludes in his study that monetary fundamentals contain predictive power for exchange rate. He used the long horizon regression (or Error Correction Model (ECM)) derived from the VECM (Vector Error Correction Model). However, these two studies are not the only ones testing the predictive ability of exchange rate models. Several models such as the single equation linear models, single-equation ECM, multi-equation VECM models, time-varying parameter models, and panel models have been used in the literature in the attempt to predict exchange rates. Even though most of the authors are unable to document short-run exchange rate predictability, some of them find evidence of long horizon predictability. Nevertheless, the literature has remained pessimistic about the link between exchange rates and fundamentals.The main purpose of the study is to investigate the exchange rate predictability in Turkey by using the monetary fundamentals in the ECM. This study first examines the in-sample fit of the ECM model, and then evaluates the out-of sample forecast performance of the ECM against benchmark RW model. The fundamental value of exchange rate used in this study is obtained from Frankel-Bilson Monetary Model. The error correction term is constructed under the assumptions of zero/nonzero interest rate differentials and country specific money demand elasticities to satisfy the cointegration assumption between fundamentals and exchange rates. The in-sample analysis results present evidence that monetary fundamentals are useful to explain the long horizon changes in the logarithm of the exchange rates while the out-of sample analysis results suggest that whether the ECM or the RW explains the nature of exchange rate changes might be considered that time varying. …

Evolution of Dollar/Euro Exchange Rate Before and After the Birth of Euro and Policy Implications

One possible consequence of the establishment of the Euro is a challenge to the hegemony of the US dollar as the predominant international currency. No other currency has been able to rival the international role of the national currency of the US since World War II. The fact that the unipolar international monetary system can be unstable in the presence of large shocks opens a window of opportunity for the Euro to promote systemic stability. The present study pursues this conjecture by, first, exploring with cointegration and ECM techniques the interdependence between the dynamics of the Dollar/Euro exchange rate and economic fundamentals in the context of a monetary exchange rate model. Identification of the key determinants of the value of the Euro informs our analysis of the policy stance of the European Central Bank regarding the long-run global role of the Euro. Secondly, we explore whether the opportunity for a prominent systemic role of the Euro has been realized by examining the impact of the Euro on the global financial market.

The Role for Long‐run Target Values of the Exchange Rate in the Bank of Japan's Policy Reaction Function

AbstractThis paper analyses whether the Bank of Japan (BoJ) had fundamental concepts in mind when carrying out interventions in the foreign exchange market. We start by considering different long‐run fundamental target values based on a monetary exchange rate model and compare them with more ad hoc targets. Based on these findings, we explain the intervention probability for the BoJ after 1991 based on an ordered probit model by accounting for subperiods and asymmetric effects. It turns out that estimated fundamentally based values for the exchange rate provide additional information for the decision to intervene, in particular after 1995. However, short‐run ad hoc targets seem to be very important, in particular from 1991 until 1995, while medium‐run ad hoc targets gain importance at the end of the 1990s. Overall, we find a ‘leaning against the wind’ strategy in the event of overvaluation relies on ad hoc targets while intervention in cases of undervaluation seems to be guided more strongly by deviations from fundamental values.

Meta-analytic cointegrating rank tests for dependent panels

Two new panel cointegrating rank tests which are robust to cross-sectional dependence are proposed. The dependence in the data generating process is modeled using unobserved common factors. The new tests are based on a meta-analytic approach, in which the p-values of the individual likelihood-ratio (LR) type test statistics computed from defactored data are combined into the panel statistics. A simulation study shows that the tests have reasonable size and power properties in finite samples. The application of the tests is illustrated by investigating the monetary exchange rate model for a panel data of 19 countries.

Parallel Currency Markets and the Monetary Exchange Rate Model: A VECM Application to Turkey Over 1987–1998

This study takes a novel approach to testing the monetary model of exchange rate determination by allowing for distortions from the underground economy to be reflected via inclusion of the parallel exchange rate. Using a VECM methodology, an augmented model is tested and compared to a traditional flexible-price monetary model for Turkey over 1987–1998. While in-sample results are supportive of both models, out-of-sample analysis favors inclusion of the parallel exchange rate. Furthermore, the augmented model beats a random walk with and without drift over to mid-range forecast horizons. These results highlight the need to consider potential market distortions of exchange rate movements.

EXCHANGE RATE MISALIGNMENTS IN ASEAN-5 COUNTRIES

The purpose of this paper is to estimate the exchange rate misalignments for Indonesia, Malaysia, Philippines, Singapore and Thailand before the currency crisis. By employing the sticky-price monetary exchange rate model in the environment of vector error-correction, the results indicate that the Indonesia rupiah, Malaysian ringgit, Philippines peso and Singapore dollar were overvalued before the currency crisis while Thai baht was undervalued on the eve of the crisis. However, they suffered modest misalignment. Therefore, little evidence of exchange misalignment is found to exist in the second quarter of 1997. In particular, Indonesia rupiah, Malaysia ringgit, Philippines peso and Singapore dollar were only overvalued about 1 to 4 percent against US dollar while the Thai baht was only 2 percent undervalued against US dollar.

Validity of the Monetary Model of the Exchange Rate: Empirical Evidence from Sri Lanka

This paper studied the behaviour of the US dollar vis-a-vis the Sri Lankan rupee exchange rate in order to check the empirical validity of the flexible price monetary model of exchange rate. Data from January 2001 to March 2011 has been studied by employing the Johansen multivariate cointegration test and the Vector Error Correction Model (VEC) as the key techniques. A long-term cointegrating relationship between the nominal exchange rate and variables of monetary model has been found. The error correction term is quite large and significant indicating that short-term deviation from long-term equilibrium is restored within a year. However, regardless of the existence of a long-term relationship found between variables of the monetary model and exchange rate, the evidence is not strong enough to support the validity of the monetary model. This is mainly because of statistically insignificant domestic money supply and incorrect sign reported for foreign money supply. Improper evidences found on key variables of the model led to serious doubt about the ability of the flexible price monetary model in explaining exchange rate movements of US dollar – Sri Lankan rupee in the free floating exchange rate regime. Staff Studies Vol.42(1&2) 2012; 47-74

Enhancing the forecasting power of exchange rate models by introducing nonlinearity: Does it work?

It is demonstrated that the forecasting power of the flexible price monetary model of exchange rates can be enhanced by introducing dynamics through the use of a linear error correction specification. However, the introduction of nonlinearity, by using a polynomial in the error correction term, does not lead to any further improvement in forecasting accuracy and may even lead to deterioration. The results provide evidence against the proposition that the Meese–Rogoff puzzle can be explained in terms of failure to account for nonlinearity. It is also shown that the introduction of dynamics boosts the forecasting accuracy (in terms of the magnitude of the forecasting error) of the model relative to the static specification because dynamic specifications involve a random walk component. The empirical results lead to the conclusion that accounting for nonlinearity does not resolve the Meese–Rogoff puzzle.

Markov regimes switching with monetary fundamental-based exchange rate model

This paper examines whether the exchange rates of the Asia-Pacific countries can be captured by the Markov switching model (MSM). Using data from January 2000 to December 2011, the real interest differential (RID) model is tested first. However, supporting evidence is limited, and results are markedly different across the countries. It is worth noting that the signs on the coefficients for fundamental factors are mostly wrong from the RID model perspective. By using the MSM-RID model, the results identify that two regimes exist and persist, which is consistent with earlier literature indicating that there are complex influences in exchange rate determination. This leads to the conclusion that the results are strongly in favor of a nonlinear relationship between exchange rate volatility and fundamental factors. When the probabilities transition matrixes of MSM are allowed to change [MSM-RID-time varying transition probabilities model (TVTP)], it is found that MSM-RID-TVTP outperforms the MSM-RID model. MSM classifies the currencies regimes and provides information about the change of currency prices in some Asian-Pacific currencies.

Foreign exchange market interventions and the $–¥ exchange rate in the long run

This article examines whether foreign exchange market interventions conducted by the Bank of Japan are important for the dollar–yen exchange rate in the long run. We rely on a re-examination of the empirical performance of a monetary exchange rate model. This is basically not a new topic; however, we focus on two new questions. First, does the consideration of periods of massive interventions in the foreign exchange market uncover a potential long-run relationship between the exchange rate and its fundamentals? Second, do Forex interventions support the adjustment towards a long-run equilibrium value? Our results suggest that taking periods of interventions into account within a monetary model does improve the goodness of fit of an identified long-run relationship to a significant degree. Furthermore, Forex interventions increase the speed of adjustment towards long-run equilibrium in some periods, particularly in periods of coordinated forex interventions. Our results indicate that only coordinated interventions seem to stabilize the dollar–yen exchange rate in a long-run perspective.

Foreign Exchange Market Interventions and the $-¥ Exchange Rate in the Long Run

This paper tries to clarify the question of whether foreign exchange market interventions conducted by the Bank of Japan are important for the dollar-yen exchange rate in the long run. Our strategy relies on a re-examination of the empirical performance of a monetary exchange rate model. This is basically not a new topic; however, we put our focus on two new questions. Firstly, does the consideration of periods of massive interventions in the foreign exchange market help to uncover a potential long-run relationship between the exchange rate and its fundamentals? Secondly, do Forex interventions support the adjustment towards a long-run equilibrium value? Our overall results suggest that taking periods of interventions into account within a monetary model does improve the goodness of fit of an identified long-run relationship to a significant degree. Furthermore, Forex interventions increase the speed of adjustment towards long-run equilibrium in some periods, particularly in periods of coordinated forex interventions. Our results indicate that only coordinated interventions seem to stabilize the dollar-yen exchange rate in a long-run perspective. This is a novel contribution to the literature.