TRANSFORM THE MECHANISM OF RENMINBI’S EXCHANGE RATE SYSTEM IN CONFORMITY WITH THE DEMAND OF MARKET ECONOMY——The academic report delivered at the Annual Meeting of NNCIFS on October 1993

Exchange rate functions under systems of centrallyplanned economy and market economy are quite different,and the mechanism to determine such exchange rate is alsodifferent. To adopt a socialist market economic system inChina, the exchange rate mechanism of Renminbi must bethoroughly transformed. To accomplish this goal, I believethere are three problems that must be solved: first,

China＇s Exchange Rate System——A Policy Perspective

Like most developing countries, China has been adopting a multiple exchange rate regime in its attempt to maintain control and order while liberalizing transactions in the sphere of trade, non-trade and crossborder fund flows. From a very rigid, highly centralized regime in 1979, China has by now advanced to a relatively flexible system under which the official rate, the swap rate, and the ＂free＂ market rate coexist. The tight control of international transfer of funds has also been progressively relaxed, as different parties gain increasing freedom to acquire foreign exchange. The Chinese economy has been reasonably stable during the Asian financial crisis. Although China maintains the exchange rate stability, in near future a real appreciation of the RMB must be necessary element in global adjustment. More flexible exchange rate will give more advantages for Chinese economy.

The Reform on RMB Exchange Rate System

The Chinese currency, the yuan, which was pegged to the value of US dollar in the past, will now be a managed currency. Its value will be set in relation to a basket of currencies. China is taking the first big step toward a free-floating currency. This analysis explores the impacts on Chinese banking, Chinese companies and international monetary market.

Chinese Yuan after Chinese Exchange Rate System Reform

In this paper, the actual exchange rate policy conducted by the Chinese government after the Chinese exchange rate system reform on 21 July 2005 is investigated. Also, the long-run effect is investigated, including the Balassa-Samuelson effect on the Chinese yuan. It was found that the Chinese government generated a statistically significant but small change in exchange rate policy during the sample period until 25 January 2006. It was not identified that the Chinese monetary authority is adopting the currency basket system because the change is too small in the economic sense. It is indicated that the Chinese government should take account of the productivity growth of countries composing the currency basket in order to operate a currency basket regime.

Autonomy and Effectiveness of Chinese Monetary Policy under the De Facto Fixed Exchange Rate System

This paper uses monthly data to examine the autonomy and effectiveness of monetary policy in China under the de facto fixed exchange rate arrangement in place from 1998 to 2005. The results obtained from Granger causality tests in a vector autoregression framework indicate that： （i） China actually conducted independent monetary policy during the fixed exchange rate period; and （ii） market-oriented policy measures are impotent in influencing real output and prices. The framework of the investigation into the autonomy of monetary policy adapts to the Chinese economic condition that primary loan and deposit rates are set by the central bank. Based on the empirical results, the present paper provides alternative strategies to improve the effectiveness of monetary policy in China, including developing the financial system and solidifying microeconomic fundamentals instead of forcing the adaptation of a more flexible exchange rate regime.

Weights and Empirical Analysis of RMB Exchange Rate Adjustments with Reference to a Basket of Currencies Following the Exchange Rate System Reform of 2010

This paper constructs an RMB/USD exchange rate index and a basket currency exchange rate index. The correlation maximization of the RMB/USD and the basket currency index may determine the weight and quantity of the basket currency. The currency basket indicates that the weight of the USD is highest, whereas that of the GB Pound is the lowest. Our currency basket has a high linear dependence on that of the central bank. We found that the RMB/USD and currency basket indices have a long-term co-integration relationship according to the optimal currency weights. The results of the error-correcting model manifest as the RMB/USD exchange rate deviates from the long-term equilibrium level, wherein 76.3% will be corrected. This paper checks the prediction capacity, which indicates the good fit of the model. By using the Granger causality test the findings show that the People＇s Bank of China adjusts the RMB/USD exchange rate with reference to the currency basket.

Modelling State Foreign Exchange Reserves under the Managed Floating Exchange Rate System in China

The purpose of this paper is to investigate China′s state foreign exchange reserves growth using monthly data in the period January 1994 to December 1998. An economic model is constructed, with a view from its formation mechanism. Time series techniques are used to examine the long run relationship between foreign exchange reserves and the variables included in the model. Our empirical investigation revealed existence of a systematic long run relationship among foreign exchange reserves, exports, imports, and foreign direct investment. In the short run, the Asian financial crises have not significant effect on China′s foreign exchange reserves. Moreover, the recursive tests results indicated that the error correction model was structurally stable over the sample period, implying that the reserve holdings play a significant role in the balance payments adjustment process and separating China economy from the Asian financial crises.

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.

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.

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.

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.

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.

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.

Is pass‑through of the exchange rate to restaurant and hotel prices asymmetric in the US?Role of monetary policy uncertainty

This study examines the exchange rate pass-through to the United States(US)restaurant and hotel prices by incorporating the effect of monetary policy uncertainty over the period 2001:M12 to 2019:M01.Using the nonlinear autoregressive distributed lag(NARDL)model,empirical evidence indicates asymmetric pass-through of exchange rate and monetary policy uncertainty.Moreover,a stronger pass-through effect is observed during depreciation and a negative shock in monetary policy uncertainty,corroborating asymmetric pass-through predictions.Our results further show that a positive shock in energy prices leads to an increase in restaurant and hotel prices.Furthermore,asymmetric causality indicates that a positive shock in the exchange rate causes a positive shock to restaurant and hotel prices.We found feedback causal effects between positive and negative shocks in monetary policy uncertainty and positive and negative shocks in the exchange rate.Additionally,we detected a one-way asymmetric causality,flowing from a positive(negative)shock to a positive(negative)shock in energy prices.Therefore,these findings provide insights for policymakers to achieve low and stable prices in the US restaurant and hotel industry through sound monetary policy formulations.Highlights.The drivers of restaurant and hotel business in tourism destinations are examined.There is asymmetric pass-through of exchange rate and monetary policy uncertainty.A stronger pass-through is observed during appreciation and a negative shock to monetary policy uncertainty.There is asymmetric causality from positive shock in exchange rate to postive shock in restaurant and hotel prices.

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.

Testing for Nonlinearity in Five Emerging Markets' Exchange Rates

Unlike the Brock,Dechert,and Scheinkman(BDS)test,the Surrogate Data method is not only able to provide a nonlinearity test for exchange rates,but also distinguish whether the nonlinear features come from the economic system itself.Our analysis gives some evidence on the presence of nonlinear dependency of five emerging markets' exchange rates by using BDS test.Furthermore,we present evidence in existence of intrinsic and deterministic nonlinearity in the five exchange rates using the Surrogate Data method,comparing the original data and surrogate data and rejecting the null hypothesis in confidence coefficient 95%.The results provide the basis for the analyses of the chaotic properties of exchange rate time series and their future nonlinear forecasting.

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.

Recent Experience of the Effects of Intervention on Exchange Rates

Recently, foreign exchange rates have been highly volatile all over the world. This article reports on an empirical examination of the effectiveness of foreign exchange market intervention in Tokyo foreign exchange market. In Japan, intervention in the foreign exchange market has occurred frequently and largely. In 2010, exchange rates fluctuated greatly, and the Japanese yen appreciated greatly against other foreign currencies. The Bank of Japan （BOJ） conducted an intervention in the foreign exchange market and bought massive USD to weaken the yen. They are expected to prevent too much appreciation of the yen, to promote export, and expansion of the economy. Recent foreign exchange market intervention in Tokyo has been effective in preventing the Japanese yen from appreciating against other currencies. Also, unsterilization has had a positive effect on depreciation of the yen. Moreover, news announcements by the Bank of Japan （BOJ） has led to depreciation of the yen. Effective announcements would increase the effects on markets. Sterilization in intervention and market communication are both taken into account in this article. The BOJ＇s news announcements seem to convey to markets adequately and communication between the bank and markets functions well. Moreover, the past exchange rate （i.e., the signaling effect） also is important to the movement of exchange rates. On the other hand, portfolio channel is not found