The Most Sensitive Exchange Rates for Tin Based on the Major Commodity Production Countries

This paper examines the most sensitive exchange rates for tin price based on China and Indonesia that these are the world’s first and second largest tin producers.The export data from these countries have shared over 75 per cent of global tin supply that relates significantly with the Indonesian exchange rate based on the Canonical Correlation Analysis(CCA).Furthermore,the future tin prices are forecasted using the weighted least squares(WLS)model.This model is selected since it takes into account the non-normally distribution and heteroscedasticity of the original data.Overall,this result suggests that the Indonesian exchange rate is superior in predicting the future tin price rather than the Chinese exchange rate while China is the largest tin producer in the world.This is caused that the Chinese exchange rate cannot appreciate to other currency baskets.

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.

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

Estimating the air exchange rates in naturally ventilated cattle houses using Bayesian-optimized GBDT

It is challenging to estimate the air exchange rate(AER)dynamically in naturally ventilated livestock buildings such as dairy houses due to the influence of complex and variable outdoor environmental factors,large opening ratios,and the confusion of inflow and outflow at openings.This makes it difficult to efficiently regulate the opening ratio to meet the ventilation requirements in naturally ventilated livestock buildings.In this study,the air exchange rates of naturally ventilated cattle houses(NVCHs)in different seasons and opening ratios were obtained through field measurements and computational fluid dynamics(CFD)simulations.A fast and efficient machine learning framework was proposed and examined to predict AER based on the gradient boosting decision tree(GBDT)combined with Bayesian optimization.Compared with commonly used machine learning models such as multilayer perceptrons(MLPs)and support vector machines(SVMs),the proposed GBDT model has higher prediction accuracy and can avoid falling easily into local optima.Compared with the existing mechanical model based on the Bernoulli equation,the proposed GBDT model showed a slightly higher prediction than the mechanistic model and was much easier to use in AER estimation when inputting easily collected environmental factors in practical applications.Using Bayesian optimization could dramatically reduce the computing time when determining the optimal hyperparameter for establishing the GBDT model,dramatically saving on computing resources.Based on the Bayesian optimized GBDT model,the desirable opening ratio of the side curtain can be determined for automatically regulating the AER of cattle houses in future applications.

How would Capital Account Liberalization Affect China's Capital Flows and the Renminbi Real Exchange Rates?

In this paper we study the determinants of gross capital flows, project the size of China＇s international investment position in 2020, and analyze the implications for the renminbi real exchange rate if China liberalizes the capital account. We assume in this exercise that the renminbi will have largely achieved capital account convertibility by the end of the current decade, a timetable consistent with recent proposals by the People ＇s Bank of China. Our analysis shows that if the capital account were liberalized, China＇s gross international investment position would grow significantly, and inflows and outflows would become much more balanced. The private sector would turn its net liability position into a balanced position, and the official sector would reduce its net asset position significantly, relative to the country ＇s GDP. Because of the increasing importance of private sector foreign claims and the decreasing importance of official foreign reserves, China would be able to earn higher net investment income from abroad. Overall, China would continue to be a net creditor, with the net foreign asset position as a share of GDP remaining largely stable through this decade. These findings suggest that the renminbi real exchange rate would not be particularly sensitive to capital account liberalization as capital flows are expected to be two-sided. The renminb i real exchange rate would likely be on a path of moderate appreciation as China is expected to maintain a sizeable growth differential with its trading partners.

TESTING FOR LONG MEMORY IN THE ASIAN FOREIGN EXCHANGE RATES

In this paper, we use the plug-in and Whittle methods that are based on spectral regression analysis to test for the long memory property in 12 Asian/dollar daily exchange rates. The results according to the plug-in method show that with the exception of Chinese renminbi all series may have long memory properties. The results based on the Whittle method, on the other hand, show that only Japanese yen and Malaysian ringgit may have long memory properties. It is well known that inference about the differencing parameter, d, in presence of structural break in a series entails considerable difficulties. Therefore, given the financial crisis of 1997-1998 in Asia, further tests for unravelling of the memory property and presence of structural break in the exchange rate series are required.

FORECASTING EXCHANGE RATES: AN OPTIMAL APPROACH

This paper looks at forecasting daily exchange rates for the United Kingdom, European Union, and China. Here, the authors evaluate the forecasting performance of neural networks （NN）, vector singular spectrum analysis （VSSA）, and recurrent singular spectrum analysis （RSSA） for fore casting exchange rates in these countries. The authors find statistically significant evidence based on the RMSE, that both VSSA and RSSA models outperform NN at forecasting the highly unpredictable exchange rates for China. However, the authors find no evidence to suggest any difference between the forecasting accuracy of the three models for UK and EU exchange rates.

Trend Analysis of Exchange Rate of the Ghana Cedi against the US Dollar Using Time Series

Exchange rate volatility or its stability is a key determinant of the state of a country’s economy. The Ghana cedi’s performance against the US dollar in recent times has been the worse in the past decade. This has resulted in high inflation, high cost of living and high cost of production in Ghana. Despite the recent economic recovery growth, the cedi continues to strife in high rate of exchange against the dollar. This study examines and models a trend, and makes predictions of future rates of the cedis against the US dollar. Methodology: The study used a 13-year data of exchange rates of Ghana cedi and the US dollar spanning from 2010 to mid-2023 from the Bank of Ghana’s economic data on exchange rates, Ghana Stock Exchange and the World Bank. The ARIMA and SARIMA models were used to model the trends and for forecasting, taking into the consideration the asymmetric and seasonal effect of the data. Results: The outputs show that, the Ghana cedi will continue to rise but steadily against the US dollar for the remaining months of 2023 except in December, and continue to decline afterwards through into 2024. Conclusion: The cedi continues to weaken in value and the strength of its purchasing power. A weaker currency depicts a “junk” economy which affects its foreign investment. As the US dollar continues to rise, the Government and policy makers must implement effective policies to stabilize its rise against the cedi. Export of commodities must increase in addition to import restrictions to balance trade deficit and to strengthen the Ghana Cedi.

Measurement of air exchange rates in different indoor environments using continuous CO_2 sensors

A new air exchange rate （AER） monitoring method using continuous CO2 sensors was developed and validated through both laboratory experiments and field studies. Controlled laboratory simulation tests were conducted in a 1-m3 environmental chamber at different AERs （0.1-10.0 hr-1）. AERs were determined using the decay method based on box model assumptions. Field tests were conducted in classrooms, dormitories, meeting rooms and apartments during 2-5 weekdays using CO2 sensors coupled with data loggers. Indoor temperature, relative humidity （RH）, and CO2 concentrations were continuously monitored while outdoor parameters combined with on-site climate conditions were recorded. Statistical results indicated that good laboratory performance was achieved： duplicate precision was within 10%, and the measured AERs were 90%-120% of the real AERs. Average AERs were 1.22, 1.37, 1.10, 1.91 and 0.73 hr-l in dormitories, air-conditioned classrooms, classrooms with an air circulation cooling system, reading rooms, and meeting rooms, respectively. In an elderly particulate matter exposure study, all the homes had AER values ranging from 0.29 to 3.46 hr-1 in fall, and 0.12 to 1.39 hr-1 in winter with a median AER of 1.15.

Worldwide Inflation and International Monetary Reform:Exchange Rates or Interest Rates?

The international dollar standard is malfunctioning. Near-zero US short-term interest rates launch massive hot money outflows into emerging markets （EM） in Asia and Latin America. Each EM central bank buys dollars to prevent its currency from appreciating but loses monetary control. Despite some appreciation, average inflation in EMs is now much higher than in the old industrial economies and world commodity prices are bid up sharply. This inflation on the dollar ＇s periphery only registers in the US CPI with a long lag. However, the more immediate effect of the Fed＇s zero interest rate is to upset the process of bank intermediation within the American economy. Bank credit continues to decline while employment languishes. Therefore, constructive international monetary reform calls for the Fed to abandon its zero-interest rate policy, which is best done in cooperation with the European Central Bank, the Bank of Japan, and the Bank of England also abandoning their ultra low interest rates.

A Bayesian Nonparametric Investigation of the Predictive Effect of Exchange Rates on Commodity Prices

This study proposes a full Bayesian nonparametric procedure to investigate the predictive power of exchange rates in relation to commodity prices for three commodity-exporting countries:Canada,Australia,and New Zealand.We propose a new time-dependent infinite mixture of a normal linear regression model of the conditional distribution of the commodity price index.The mixing weights follow a set of Probit stick-breaking priors that are time-varying.We find that exchange rates have a positive predictive effect in general,but accounting for time variation does not improve forecasting performance.By contrast,the intercept in the regression and the lagged dependent variable show signs of parameter change over time in most cases,which is important in forecasting both the mean and the density of commodity prices one period ahead.The results also suggest that the variance is a large source of the time variation in the conditional distribution of commodity prices.

Nonlinear Analyses of Exchange Rates of Six Emerging Markets

This paper presents some empirical evidences on the presence of nonlinearity of exchange rates of six emerging markets by using Brock-Dechert-Scheinkman(BDS)test and Volterra-Wiener-Korenberg(VWK)model,respectively.The nonlinear dependences are found in the exchange rates of six emerging markets.Furthermore,this paper applies the VWK model with surrogate data method to detect if their nonlinear dependences are deterministic or not.The results show that the above exchange rates are deterministic and nonlinear time series.These imply that the exchange rate markets do not conform to the requirements of the random walk hypothesis.Therefore,the nonlinear dynamic model should be used to analyze the exchange rates.

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.

RMB Exchange Rate,Overseas Education,and High-Quality Economic Growth

China is transitioning its industrial structure from labor-and resource-intensive industries that previously contributed significantly to the country’s GDP growth to technology-intensive industries emphasizing a highly-skilled workforce and sustainability to achieve high-quality economic growth.This paper examines the impact of the RMB exchange rate on high-quality economic growth through theoretical modeling and empirical analysis and discusses the variable of overseas education to explore the mechanism of how the RMB exchange rate and overseas education jointly impact high-quality economic growth.The research sample includes the National Bureau of Statistics data on education from 1995 to 2015,the Bank for International Settlements(BIS)data on the RMB exchange rate,and the added value of China’s high-quality economic growth estimated based on the national economy data.An empirical analysis of theoretical expectations was conducted,finding that RMB appreciation could make a positive contribution to China’s high-quality economic growth;RMB exchange rate fluctuations would impact the relative cost of overseas education and overseas returnees could have a positive impact on domestic resource utilization efficiency and domestic capacity to make sci-tech innovations,thereby injecting vitality to high-quality economic growth.This study focuses on both the RMB exchange rate and the population studying abroad,providing additional observation dimensions to existing research.

Narrative as“legal tender”:the semiotic meanings of“exchange”in Malcolm Bradbury’s Rates of Exchange

Malcolm Bradbury’s novel Rates of Exchange,taking the economic term“rates of exchange”as a central metaphor,depicts various exchanges occurring in the socio-economic landscape of Britain during the 1970s and 1980s.In the context of governmental emphasis on economic development,the novel intricately explores exchanges among diverse entities,playing with multiple meanings of the term“exchange”.In this way,the novel itself becomes a form of“legal tender,”exchanged for reader comprehension,communication,and participation.It highlights the ubiquitous presence of exchange and the risks associated with the uncertain exchange rates between different entities.Furthermore,it invites readers to participate in the story-telling and the nostalgic journey back to British literary tradition.This paper,drawing on Roland Barthes’s semiotic theory along with structuralist and poststructuralist concepts,investigates the multifaceted meanings of“exchange”in the novel.Through this analysis,the paper aims to illuminate the semiotic significance of various narrative forms and the profound thematic concerns in Bradbury’s work.

A Markov Approach to Exchange Rate Sentiment Analysis of Major Global Currencies

The paper deals with the analysis of exchange rates sentiments. In the approach suggested here a typical exchange rate sentiment is defined on the basis of certain function of mean and standard error of the logarithm of the ratio of successive daily exchange rates. Based on this surmise, the exchange rate sentiments are classified into various states, whereby states are named according to the perceptions of the market player. A Markov model is built to capture the uncertainties in exchange rates sentiments. 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 analyse weekly and monthly exchange rate sentiments that govern exchange rates of the major global currencies—EUR, GBP, SDR, YEN, ZAR, USD, using data from 2001-2012. Some interesting conclusions are revealed based on the data analysis approach advocated in this paper.

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.

Dynamics of volatility spillover between stock market and foreign exchange market: evidence from Asian Countries

Background:The purpose of this study is to examine volatility spillover effects between stock market and foreign exchange market in selected Asian countries;Pakistan,India,Sri Lanka,China,Hong Kong and Japan.This study considered daily data from 4th January,1999 to 1st January,2014.Methods:This study opted EGARCH(Exponential Generalized Auto Regressive Conditional Heteroskedasticity)model for the purpose of analyzing asymmetric volatility spillover effects between stock and foreign exchange market.Results:The EGARCH analyses reveal bidirectional asymmetric volatility spillover between stock market and foreign exchange market of Pakistan,China,Hong Kong and Sri Lanka.The results reveal unidirectional transmission of volatility from stock market to foreign exchange market of India.The analysis reveals no evidence of volatility transmission between the two markets in reference to Japan.Conclusions:The result of this study provide valuable insights to economic policy makers for financial stability perspective and to investors regarding decision making in international portfolio and currency risk strategies.

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.