Exchange Rate Pass-through in China

During the second half of 2007 and early part of 2008 when there were intense inflationary pressures in China, RMB appreciation was advocated as a means of helping to curb inflation. The effectiveness of appreciation in controlling inflation depends on the impact of exchange rate movements on import and domestic prices. Our analysis finds fairly large and speedy exchange rate pass-through （ERPT） to import prices： 50 and 60percent for the short run and long run, respectively. However, the degree of ERPT decreases along the price chain from upstream to downstream prices. ERPT for consumer prices, the most downstream prices, is much milder and has substantial lags. A 10-percent rise in the nominal effective exchange rate will dampen consumer prices by 1.1 percent within a year, with very little pass-through in the first half year, and by 2.0percent over the long run. These findings, particularly the ERPT to consumer prices, suggest that RMB appreciation can help to reduce inflationary pressures over the longer term. However, it is unlikely to provide rapid relief to the current round of high inflation because of the long lags in ERPZ. The RMB needs to strengthen in effective terms to exert the desired dampening impact on prices.

China's Share of US Imports and Exchange Rate Pass-through to US Import Prices

The present paper investigates the effect of China＇s share of US imports on the aggregatelevel exchange rate pass-through to US import prices over the period from January 1999 to December 2008. The paper also focuses on the post-reform period, after 2005, allowing greater ftexibility of the RMB to explore the change in the role of the Chinese import share in determining the trend in the US exchange rate pass-through. Evidence reveals that China＇s share of US imports has a negative effect on the exchange rate pass-through. However, this negative effect has been moderated to a negligible level since China＇s exchange rate reform. An important implication is that the exchange rate flexibility of the RMB has been raised to a significant level may no longer cause distortion in the US competitive environment and prevent the USA from adjusting current accounts.

Exchange Rate Pass-through to China＇s Export Price： A Product-level Investigation

Exchange rate movement usually results in changes in the production costs of exporting firms, and, therefore, the prices and the quantity of traded products. The present paper constructs a theoretical model to demonstrate that export products with higher productivity, or with larger market share, or of higher quality will experience a less complete passthrough. Using the six-digit harmonized system export data from the CEPII database over the period of 2000 to 2013, the present paper examines how product heterogeneity affects the exchange rate pass-through of Chinese exports. The empirical results show that the most competitive Chinese export products, or those least affected by exchange rate risks, are those of higher quality, with higher technological complexity and at the high end of the international value chain. Therefore, Chinese exporting firms should pay more attention to improving export quality and upgrading technology to better cope with exchange rate risks and to enjoy more bargaining power in the international market.

Causes of the exchange rate with the U.S. trade deficit

With debate that the U.S. trade deficit is due to overestimate exchange rate of RMB, the paper pointed out that exchange rate is not the main factor for the formation of balance of payments on trade. U.S. trade deficit is largely due to the current international monetary system, international division of labor and the trade structure determined by it, low savings rates and other factors.

Influential factors on the exchange rate of dissolved inorganic nutrients at the sediment-water interface in Jiaozhou Bay, China

Incubation experiments are carried out to study the exchange rates of dissolved inorganic nutrients including silicate, phosphate, ammonium, nitrite, and nitrate (vSiO3-Si, vPO4-P, vNH4-N, vNO2-N and vNO3-N) at the sediment-water interface in the Jiaozhou Bay. Major factors influencing the exchange rates are discussed in detail, which include the dissolved inorganic nutrient concentrations in porewater (Cpw), water and clay contents, and grain size of the sediments (CH2O, Cclay and GSsed). The results may provide insight into the dynamics of nutrient transport and the environmental capacity of nutrients in Jiaozhou Bay, and should be beneficial to solving the problems caused by excessive nutrient input this area.

Exchange Rate Risk, Political Environment and Chinese Outward FDI in Emerging Economies： A Panel Data Analysis

This study attempts to investigate the effect of financial and political risk on Chinese outward FDI activities in 56 emerging economies for a period from 2003 to 2013. Exchange rate is taken as a main indicator of financial risks and political risks are evaluated using ICRG （International Country Risk Guide） index. Generalized method of moments with panel data of Chinese outward FDI （foreign direct investment） in new emerging economies is used to find how Chinese finns intend to invest abroad with respect to exchange rate level, volatility, and expectation. The major findings show that RMB appreciation proved to have a positive effect on Chinese outward FDI in emerging economies. But Chinese OFDI （outward foreign direct investment） seems not to respond to exchange rate volatility. The expectation of RMB＇s appreciation has positive effect on Chinese OFDI in emerging economies. Results also show that more political risk leads to more Chinese OFDI in emerging economies.

Modeling and forecasting exchange rate volatility in Bangladesh using GARCH models:a comparison based on normal and Student's t-error distribution

Background:Modeling exchange rate volatility has remained crucially important because of its diverse implications.This study aimed to address the issue of error distribution assumption in modeling and forecasting exchange rate volatility between the Bangladeshi taka(BDT)and the US dollar($).Methods:Using daily exchange rates for 7 years(January 1,2008,to April 30,2015),this study attempted to model dynamics following generalized autoregressive conditional heteroscedastic(GARCH),asymmetric power ARCH(APARCH),exponential generalized autoregressive conditional heteroscedstic(EGARCH),threshold generalized autoregressive conditional heteroscedstic(TGARCH),and integrated generalized autoregressive conditional heteroscedstic(IGARCH)processes under both normal and Student’s t-distribution assumptions for errors.Results and Conclusions:It was found that,in contrast with the normal distribution,the application of Student’s t-distribution for errors helped the models satisfy the diagnostic tests and show improved forecasting accuracy.With such error distribution for out-of-sample volatility forecasting,AR(2)–GARCH(1,1)is considered the best.

Using fuzzy neural networks for RMB/USD real exchange rate forecasting

In order to aim at improving the forecasting performance of the RMB/USD exchange rate, this paper proposes a new architecture of fuzzy neural networks based on fuzzy logic, and the method of point differential, which guarantees not only the direction of weight correction, but also the needed precision for the BP algorithm. In applying genetic algorithms for optimal performance, this approach, in the forecasting of the RMB/USD real exchange rate from 1994 to 2000, obviously outperforms typical BP Neural Networks and exhibits a higher capacity in regard to nonlinear, time-variablility, and illegibility of the exchange rate.

Machine Learning-based USD/PKR Exchange Rate Forecasting Using Sentiment Analysis of Twitter Data

This study proposes an approach based on machine learning to forecast currency exchange rates by applying sentiment analysis to messages on Twitter(called tweets).A dataset of the exchange rates between the United States Dollar(USD)and the Pakistani Rupee(PKR)was formed by collecting information from a forex website as well as a collection of tweets from the business community in Pakistan containing finance-related words.The dataset was collected in raw form,and was subjected to natural language processing by way of data preprocessing.Response variable labeling was then applied to the standardized dataset,where the response variables were divided into two classes:“1”indicated an increase in the exchange rate and“−1”indicated a decrease in it.To better represent the dataset,we used linear discriminant analysis and principal component analysis to visualize the data in three-dimensional vector space.Clusters that were obtained using a sampling approach were then used for data optimization.Five machine learning classifiers—the simple logistic classifier,the random forest,bagging,naïve Bayes,and the support vector machine—were applied to the optimized dataset.The results show that the simple logistic classifier yielded the highest accuracy of 82.14%for the USD and the PKR exchange rates forecasting.

Impacts of Exchange Rate Volatility and FDI on Technical Efficiency—A Case Study of Vietnamese Agricultural Sector

The objective of this research is to examine impacts of exchange rate volatility and FDI on efficiency of the Vietnamese agricultural sector at the provincial level for the period 1998-2011. Due to the characteristic of high uncertainty in agricultural production, the chance-constrained programming model would be used to estimate efficiency of the agricultural production sector. In order to study impacts of exchange rate volatility and FDI, we employ the two-stage model. In the first stage, we use the chance-constrained programming model to measure technical efficiency and ARIMA model to quantify exchange rate volatility. In the second stage, we use the fixed effect model to evaluate impacts of exchange rate volatility and FDI on efficiency of agricultural production in poor and rich provinces. The estimated results show that fluctuation in exchange rate volatility would reduce efficiency in agricultural production but FDI has an insignificant impact on the efficient production in Vietnam agricultural sector.

Capital Account Openness,Exchange Rate Volatility and Economic Growth:International Experiences and Implications

Based on the Barro classical growth model, this paper introduces capital account openness and exchange rate volatility to conduct an empirical analysis using the panel data of 182 countries(regions) during 1970-2013 to examine the combined effects of capital account openness and exchange rate risks on economic growth. Our findings are as follows:(1) Without considering exchange rate volatility, capital account openness is subject to a threshold effect, i.e. capital account openness significantly promotes the economic growth of middle-and high-income countries but exerts the opposite effect on low-income countries; and(2) after exchange rate volatility is taken into account, the growth effect of capital account openness is reduced and the greater the exchange rate volatility is, the smaller the marginal effect of capital account openness will be; sample-specific results also proved the existence of the threshold effect. This paper offers the following implications:(1) The effect of capital account openness can be better examined based on risk factors;(2) moderately controlling exchange rate volatility is conducive to acquiring greater benefits from capital account openness; and(3) the threshold effect of capital account openness cannot be overlooked.

The Influence of Bond Market Opening in Trade Field on RMB Internationalization Foreign Exchange Rate

In order to verify that the open bond market is the most direct choice to promote the internationalization of RMB,the empirical analysis method is used to analyze the impact of bond liberalization on the internationalization of RMB foreign exchange rate.Firstly,the data source processing method of empirical analysis is introduced.Then the dynamic panel data regression model and panel threshold model are built to verify the influence factors of RMB internationalization foreign exchange rate and the influence of debt market opening on RMB foreign exchange rate,respectively.The results show that the opening of the creditor's rights market has a significant positive promoting effect on the internationalization of RMB foreign exchange rate,and the development of the domestic creditor's rights market has a significant promoting effect on the internationalization of RMB foreign exchange rate.The study has a certain role in promoting the status of China's currency in the international community.

Discussion of Exchange Rate Fluctcation Using IS-LM Model

This paper analyses the essential cause of exchange market fluctuation by using IS－LM model: excessive investment causes goods overstocking in goods market, which brings about supply exceeding demand:financial market loses equilibrium as well, resulting imbalance of money demand and money supply, which causes interest rate to drop. This Paper gives the relationship between interest rate and exchange rate: as a result of interest rate dropping, exchange rate is in great turbulence,whose fluctuation range relates to some coefficients.

Influence of magnetic field sweep rate on the hysteresis loops of Ni0.8Fe0.2/Fe0.5Mn0.5 exchange bias bilayer

The influence of the magnetic field sweep rate on the hysteresis loops of exchange bias Ni0.8Fe0.2/Fe0.5Mn0.5 bilayers has been investigated with a vibrating sample magnetometer. It was found that the sweep rate of 13.6 kA/4πms is high enough to bring about obvious changes in the hysteresis loops of the exchange bias bilayer. High sweep rate in the magnetization reversal stage enlarges the coercivity of the sample, while high sweep rate in the saturation state reduces the coercivity. The above phenomena were attributed to magnetic viscosity in the ferromagnetic layer enhanced by the interface exchange interaction and domain magnetization reversals assisted by thermal fluctuation in the antiferromagnetic layer respectively.

Effects of sulfur dioxide on growth， gas exchange rate and leaf sulfur content of massion pine seedlings

The effects of sulfur dioxide(SO_2) on the dry weight growth gas exchange rate and leaf sulfur content of massion pine(Pinus massoniana Lamb. )were investigated. The results obtained in this study show that the dry weight growth and net photosynthetic rate of masson pine seedlings are reduced by exposure to SO_2 at ≥100 ppb. From these results,one of the main causes in the dieback of masson pine forest reported in Chongqing,China may be relatively high concentrations of atmospheric SO_2 in the relevant area.

Numerical Computing for a Class of Free Multipoint Boundary Value Problem of O.D.E in the Intervention of Exchange Rate

In this paper by means of generalized shooting method and homotopy technique a numerical method was given for computing free multipoint boundary value problem proposed in the intervention of exchange rate by Cadenillas and Femaado Zapatero. A numerical example was given for illustrating the validity of this method.

Subprime Mortgage Crisis and the Exchange Rate Channel: Evidence from Six Countries of the Zone Euro-Med

This article proposes to assess the impact of the subprime mortgage crisis on the exchange rate channel in 6 countries of the Euro-Med zone. To do this, our analysis is based on three evaluation methods that allow us to conclude that the exchange rate channel is better evaluated by the non-linear approach of the countries studied. Thus, the depreciation of the exchange rate adopted by the countries of the Med zone did worse macroeconomic stability and economic convergence.

Exchange rate reform:progress,challenges and prospects

For three decades China has followed an incremental approach in renminbi exchange rate reform.During this period,the exchange rate system has gone through five stages of evolution:i) a"basket peg"exchange rate regime;ii) a dual-track system;Hi) exchange rate convergence;iv) a"unitary pegged"exchange rate regime;and v) a managed floating exchange rate regime based on market supply and demand with reference to a basket of currencies. Reforming the exchange rate formation mechanism is a complex engineering project influenced by numerous factors such as the economic development mode,industrial structure,basic economic system,market system condition,financial and macroeconomic policy system as well as the new advantages arising from opening-up initiatives.Since 2005,China has achieved substantial success in reforming the exchange rate formation mechanism but still faces a plethora of issues.To address these issues,China should strengthen the role of the market in the exchange rate formation process and gradually push for the free convertibility of the renminbi under the capital account.Amidst the raging global financial crisis,China should further adapt to the diversification of the international monetary system and aggressively proceed with renminbi regionalization and internationalization.

An exchange rate determination model for central banks＇interventions in financial markets

We establish an exchange rate determination model for central banks' interventions in financial markets. The model shows that central banks can adjust exchange rate by several policy instruments and that different instruments may have different effects on exchange rate determination. It specifies potential policy instruments for central banks as well as their policy effects. Based on these effects, feasible matches of policy instruments in contingent intervention are put forth.

Exchange Rate Market Sentiment Analysis of Major Global Currencies

The paper deals with the analysis of market sentiments in exchange rates which are of great interest to trading individuals and institutional investors. For example, an institutional investor or a trading individual makes better investments and minimizes losses when equipped with an understanding of market sentiments in weekly or monthly exchange returns. In the approach suggested here, a typical market sentiment is defined on the basis of the certain function of the mean and the standard error of the logarithm of the ratio of successive daily exchange rates. Based on this surmise, the market sentiments are classified into various states, whereby states are defined according to the perceptions of the market player. A multinomial probability model is built to capture the uncertainties in market sentiments. Two asymptotically distribution-free tests, namely the chi-square and the likelihood ratio test of goodness of fit for the hypothesis of the symmetry in market sentiments are suggested. Two different measures of market sentiments are proposed. The approach advocated here will be of interest to researchers, exchange rate traders and financial analysts. As an application of the proposed line of approach, we analyze weekly market sentiments that govern exchange rates of the major global currencies—EUR, GBP, SDR, YEN, ZAR, USD, data from 2001-2012. Some interesting conclusions are revealed based on the data analysis.