scholarly journals What Factors Affect the RMB Carry Trade Return for Sustainability? An Empirical Analysis by Using an ARDL Model

2021 ◽  
Vol 13 (24) ◽  
pp. 13533
Author(s):  
Ziyun Zhang ◽  
Sen Guo
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Model Fitting ◽  
Carry Trade ◽  
Policy Makers ◽  
Rmb Exchange Rate ◽  
Daily Data ◽  
Before And After ◽  
The Exchange Rate ◽  
Missing Variables

With the internationalization of RMB and the openness of China’s capital account, the amount of foreign institutions investing in China has increased significantly. Based on China’s daily data from January 2007 to September 2021, this study investigated the factors that affect the RMB carry-trade return for sustainability. By comparing the results of the carry return before and after the foreign-exchange reform on 11 August 2015, this study found that the RMB carry return has become more traceable after the exchange-rate reform. Meanwhile, the model fitting degree of explaining the RMB carry return was higher, and there were fewer missing variables. Therefore, this study found that after the RMB-exchange-rate mechanism became more market oriented, the RMB carry return became more reasonable, and the carry trade can play a better role in foreign-exchange pricing. Meanwhile, after using the RMB non-deliverable forwards (NDF) to construct a carry-trade position to perform the robustness test, such results were consistent. With different results before and after the exchange-rate reform, this study can provide references for policy makers and investors for sustainable development.

scholarly journals When Is Foreign Exchange Intervention Effective? Evidence from 33 Countries

2019 ◽  
Vol 11 (1) ◽  
pp. 132-156 ◽  
Author(s):  
Marcel Fratzscher ◽  
Oliver Gloede ◽  
Lukas Menkhoff ◽  
Lucio Sarno ◽  
Tobias Stöhr
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Success Rate ◽  
Foreign Exchange ◽  
Narrow Band ◽  
Foreign Exchange Intervention ◽  
Policy Tool ◽  
Daily Data ◽  
Effective Policy ◽  
The Exchange Rate

This paper examines foreign exchange intervention based on novel daily data covering 33 countries from 1995 to 2011. We find that intervention is widely used and an effective policy tool, with a success rate in excess of 80 percent under some criteria. The policy works well in terms of smoothing the path of exchange rates, and in stabilizing the exchange rate in countries with narrow band regimes. Moving the level of the exchange rate in flexible regimes requires that some conditions are met, including the use of large volumes and that intervention is made public and supported via communication. (JEL E52, E58, F31, F33, O19, O24)

scholarly journals Modeling Sources of Asymmetry in the Volatility of the Moroccan Dirham Exchange Rate

2021 ◽  
Vol 8 (4) ◽  
pp. 31
Author(s):  
KHATTAB Ahmed ◽  
SALMI Yahya
Keyword(s):  
Exchange Rate ◽  
Central Bank ◽  
Exchange Rates ◽  
Foreign Exchange ◽  
Selection Criterion ◽  
Econometric Models ◽  
Interbank Market ◽  
Foreign Exchange Reserves ◽  
Central Bank Intervention ◽  
The Exchange Rate

The main objective of this paper is to study the sources of asymmetry in the volatility of the bilateral exchange rates of the Moroccan dirham (MAD), against the EUR and the USD using the asymmetric econometric models of the ARCH-GARCH family. An empirical analysis was conducted on daily central bank data from March 2003 to March 2021, with a sample size of 4575 observations. Central bank intervention in the foreign exchange (interbank) market was found to affect the asymmetry in the volatility of the bilateral EUR/MAD and USD/MAD exchange rates. Specifically, sales of foreign exchange reserves by the monetary authority cause a fall in the exchange rate, which means that the market response to shocks is asymmetric. Finally, the selection criterion (AIC) allowed us to conclude that the asymmetric model AR(1)-TGARCH(1,1) is adequate for modeling the volatility of the exchange rate of the Moroccan dirham.

Optimistic and pessimistic economic sentiments and US Dollar exchange rate

2021 ◽  
Author(s):  
Sonia Kumari ◽  
Suresh Kumar Oad Rajput ◽  
Rana Yassir Hussain ◽  
Jahanzeb Marwat ◽  
Haroon Hussain
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Ordinary Least Squares ◽  
Exchange Market ◽  
Dollar Exchange Rate ◽  
The Us ◽  
Short Run ◽  
Us Dollar ◽  
The Exchange Rate

This study investigates the affiliation of various proxies of economic sentiments and the US Dollar exchange rate, mainly focusing on the real effective exchange rate of USD pairing with three other major currencies (USDEUR, USDGBP, and USDCAD). The study has employed Google Trends data of economy optimistic and pessimistic sentiments index and survey-based economy sentiments data on monthly basis from January 2004 to December 2018. The study engaged Ordinary Least Squares (OLS) and Auto-Regressive Distributed Lag (ARDL) estimation techniques to evaluate the short-run and long-run effects of economy-related sentiments and macroeconomic variables on the exchange rate. The results from the study found that Economy Optimistic Sentiments Index (EOSI) and Economy Pessimistic Sentiments Index (EPSI) appreciate and depreciate the US Dollar exchange rate in the short-run, respectively. Our sentiment measures are robust to survey-based Michigan Consumer Sentiment Index (MSCI), Consumer Confidence Index (CCI), and various macroeconomic factors. The MSCI and CCI sentiments show a long-term impact on the foreign exchange market. This study implies that economic sentiments play a vital role in the foreign exchange market and it is essential to consider behavioral aspects when modeling the exchange rate movements.

scholarly journals Research on Information Spillover Effect of the RMB Exchange Rate and Stock Market Based on R-Vine Copula

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xiaofei Wu ◽  
Shuzhen Zhu ◽  
Suxue Wang
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Spillover Effect ◽  
Dependence Structure ◽  
Chinese Stock Market ◽  
Single Currency ◽  
Rmb Exchange Rate ◽  
The Exchange Rate ◽  
Information Spillover ◽  
Vine Copula

This paper studies the dependence structure and information spillover effect between the RMB exchange rate and the Chinese stock market based on the R-vine copula model and spillover index model. The results show that due to the occurrence of the trade war, the correlation between the three RMB exchange rate indicators and the two stock market indicators increases in varying degrees. In the intensity of spillover, the information spillover of the stock market to the RMB exchange rate is significantly enhanced, and the information spillover intensity of the RMB Index to the stock market increases, but the information spillover of the US dollar and Hong Kong dollar exchange rates to the stock market is significantly weakened. In the direction of spillover, the spillover of the RMB Index and stock market shows the characteristics of alternating transformation, while the exchange rate of a single currency and the stock market shows a one-way transmission from the stock market to the exchange rate. Additionally, the information spillover between the RMB exchange rate and the stock market is closely related to the degree of market openness. The RMB Index contains more information than the exchange rate of a single currency.

Exporters’ Exposures to Currencies: Beyond the Loglinear Model*

2015 ◽  
Vol 20 (4) ◽  
pp. 1631-1657 ◽  
Author(s):  
Kris Boudt ◽  
Fang Liu ◽  
Piet Sercu
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Real Option ◽  
Positive Impact ◽  
Constant Elasticity ◽  
Exporting Firms ◽  
Exchange Rate Exposure ◽  
The Exchange Rate ◽  
Exchange Rate Level ◽  
Smooth Transitions

Abstract We extend the constant-elasticity regression that is the default choice when equities’ exposure to currencies is estimated. In a proper real-option-style model for the exporters’ equity exposure to the foreign exchange rate, we argue, the convexity of the relationship implies that the elasticity should depend on the exchange rate level. For instance, it should shrink to zero when the option to export becomes worthless, and that should happen at a critical exchange rate that is still strictly positive. We propose a class of tractable multi-regime regression models featuring, in line with the real-options logic, smooth transitions and within-regime dynamics in the foreign exchange exposure. We then analyze the exchange rate exposure of Chinese exporting firms and find that the model in which the moneyness of the export option has a positive impact on the exchange rate exposure detects a significantly positive and convex exposure for 40% and 65% of the firms depending on whether the market return is included in the regression or not.

scholarly journals Can RMB Exchange Rate Expectations Explain the Fluctuations of China’s Housing Prices?

2020 ◽  
pp. 211-233
Author(s):  
Chunni Wang
Keyword(s):  
Exchange Rate ◽  
Housing Prices ◽  
Housing Price ◽  
Chinese Government ◽  
Rmb Exchange Rate ◽  
Price Fluctuations ◽  
Exchange Rate Expectations ◽  
The Exchange Rate ◽  
The U.S ◽  
Rate Expectation

Unlike existing literature that has focused on the relationship between exchange rate and housing price, this paper studies the housing price fluctuations from the perspective of RMB exchange rate expectation to resolve the dilemma “guarantee housing price or exchange rate” after the sub-prime mortgage crisis. This paper shows that housing prices responded negatively to RMB appreciation expectation from 1999 to 2008, and positively from 2009 to 2019. After 2009, exchange rate expectation is the Granger causality of housing prices. After introducing the U.S. Economic Policy Uncertainty (EPU) released by Baker et al.(2016), the explanatory power of exchange rate expectations to housing price fluctuations declines but it's still significant. When EPU increased, housing prices responded negatively after a brief positive response. Besides exchange rate expectation, several unobservable factors with rich economic implications can explain the fluctuations of housing prices in China in the interval of 2006M01–2018M12. The empirical results show that the degree of Chinese government reversal intervention, interest rate spread between China and the U.S., and EPU can explain the exchange rate expectation. The government can control the degree of reversal intervention to affect the exchange rate expectation and realize the housing price control indirectly.

scholarly journals The Relationship of BIST Sector Indices with Exchange Rate Volatility

2021 ◽  
Vol 8 (1) ◽  
pp. 56-74
Author(s):  
Necmiye Serap Vurur
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Industrial Sector ◽  
Suitable Model ◽  
Return Volatility ◽  
Causality Test ◽  
Daily Data ◽  
Causality Relationship ◽  
The Exchange Rate ◽  
The Relationship

Through globalization, the increased integration in financial markets has made the relationship between exchange rate and stocks important. The study aims to model the exchange rate volatility using daily data for the period 04.01.2010-15.10.2020 and investigate the causality relationship between sector returns and exchange rate return volatility. In order to model the volatility of the exchange rate return series, the GARCH model was used to reveal the possible asymmetry feature in the series. As a result of the model applications, GARCH (2,2) was determined as the most suitable model to measure volatility modelling. Then, the Granger causality test was used to see whether there is a relationship between BIST sector return indices and exchange rate return volatility. As a result of the study, one notes that there is a uni-directional causality from the exchange rate return volatility series to the service, technology, and industrial sector indices. There is a bi-directional causality relationship between the financial sector index and the exchange rate return volatility series. It is noteworthy that the causality relationship between the BIST100 index and the exchange rate is towards the volatility of the exchange rate return series from the BIST 100 index, unlike the sector indices. According to this result, it is seen that the changes in the dollar exchange rate affect the decisions of the investors who will invest in the relevant index. The results show that in the case of Turkey, mostly traditional theories are valid.

scholarly journals Pengaruh ekspor, tingkat inflasi dan nilai tukar mata uang terhadap cadangan devisa (studi di Indonesia dan Malaysia)

2021 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Nanda Eulia ◽  
Syaparuddin Syaparuddin ◽  
Parmadi Parmadi
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Secondary Data ◽  
T Test ◽  
Regression Equations ◽  
Foreign Exchange Reserves ◽  
Test Analysis ◽  
Partial Regression Coefficient ◽  
The Exchange Rate ◽  
Analytical Tools

This study aims at the implications of the development of foreign exchange reserves, exports, inflation, and the exchange rate of the rupiah and Malaysian ringgit for the period 2000-2017, the implications of the effect of exports, inflation, and the rupiah exchange rate on foreign exchange reserves in Indonesia and the effect of exports, inflation and the value of the rupiah. exchange rate ringgit against Foreign Exchange Reserves in Malaysia. The type of data used in this study is secondary data which is periodic data from 2000 – 2017, hypothesis testing itself using multiple linear regression equations. The analytical tools used are the joint test (F-Test), Partial Regression Coefficient Test (t-test), and Classical Assumption Test. Based on the t-test analysis, it can be seen that exports cannot affect foreign exchange reserves. Meanwhile, inflation has a negative and significant effect on foreign exchange reserves with a coefficient of 0.159% and the exchange rate has a positive and significant effect on foreign exchange reserves with a coefficient of 1.446%. Keywords: Exports, Inflation, Exchange rates, Foreign reserves

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