scholarly journals The Relationship between Product Complexity and Exchange Rate Elasticities: Evidence from the People’s Republic of China’s Manufacturing Industries

2021 ◽  
Vol 38 (02) ◽  
pp. 189-212
Author(s):  
WILLEM THORBECKE ◽  
CHEN CHEN ◽  
NIMESH SALIKE
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Manufacturing Industries ◽  
Product Complexity ◽  
Republic Of China ◽  
Complex Products ◽  
Price Elasticities ◽  
Manufactured Exports ◽  
Trade Wars ◽  
The Relationship

More complex products are less substitutable in international trade and may therefore have lower price elasticities. We investigate this issue using 960 types of manufactured exports from the People’s Republic of China (PRC) to 190 partner economies disaggregated at the Harmonized System 4-digit level. We measure complexity using Hidalgo and Hausmann’s (2009) product complexity index. We find that price elasticities are lower for more complex goods. These results imply that the PRC can reduce its exporters’ exposure to tariffs, trade wars, and exchange rate volatility by upgrading its export basket.

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 Sensitivity of CESEE countries' export of differentiated products to exchange rate changes

Industrija ◽  
2020 ◽  
Vol 48 (3) ◽  
pp. 7-26
Author(s):  
Aleksandra Đorđević-Zorić
Keyword(s):  
Exchange Rate ◽  
Bilateral Trade ◽  
Negative Impact ◽  
Exchange Rate Volatility ◽  
Value Added ◽  
Differentiated Products ◽  
Average Impact ◽  
Exchange Rate Changes ◽  
The Impact ◽  
The Relationship

The research aims to examine the effects of exchange rate changes on the value of bilateral export of differentiated products in the selected CESEE countries, while controlling the impact of traditional gravity variables. Identifying the determinants that affect the export of high value-added products is of particular importance for this group of countries, while analyzing the effects of exchange rate changes is a contribution to the previous researches. In order to comprehensively understand the relationship between the observed variables, a quantile panel regeression was used to estimate the gravity equation. Examining the heterogeneity of the impact of exchange rate changes and other selected trade factors along the export distribution is another contribution of the paper, given that bilateral trade researches are usually based on assessing the average impact. The results indicate that the CESEE countries' export of differentiated products is significantly influenced by exchange rate changes. Exchange rate volatility has a negative impact, which grows at higher levels of export. The heterogeneity of the impact depending on export level was also confirmed for other determinants discussed in the paper.

scholarly journals Impact of Exchange Rate Volatility on Unemployment in Pakistan

2021 ◽  
Vol VI (II) ◽  
pp. 49-66
Author(s):  
Atiq Ur Rahman ◽  
Salyha Zulfiqar Ali Shah ◽  
Qamar uz Zaman
Keyword(s):  
Developing Countries ◽  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Stability Tests ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Relationship ◽  
Long Run Equilibrium

Unemployment is an alarming issue for bothdeveloped and developing countries, which sometimesvaries from region to region as well. Unemployment accompaniedwith Exchange Rate Volatility (ERV, hereafter) worsens thesituation. This paper tries to explore the relationship between ERVand unemployment and other selected factors in the case ofPakistan from 1980 to 2018. After necessary simulation, the studysupported the analyses through the autoregressive distributed lagmodel. Where, long-run coefficient reveals that ERV and exportsboth are positively affecting unemployment; whereas, import isinversely related to unemployment. Alternatively, export and GDPare inversely affecting unemployment in the short run; further,stability tests also support the relationship between the selectedvariables to achieve the long-run equilibrium. The study furthersuggests that the Government of Pakistan need to stabilizeexchange rate to control unemployment, which is 8 percent in thelong-run and 11 percent in the short run.

Exchange rate volatility and exports from India: a commodity-level panel data analysis

2019 ◽  
Vol 12 (1) ◽  
pp. 23-44
Author(s):  
Chandan Sharma
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Exchange Rate Volatility ◽  
Nominal Exchange Rate ◽  
Exchange Rate Risk ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThis study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.Design/methodology/approachThe monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.FindingsThe empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.Practical implicationsReducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.Originality/valueUnlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.

Analysis of the dependence of the ruble exchange rate volatility on the oil market in a pandemic

2020 ◽  
Author(s):  
Oleg Zolotarev ◽  
Aida Hakimova ◽  
Maria Berberova ◽  
Vera Zolotareva
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Stationary Time Series ◽  
External Shocks ◽  
Industrial Economy ◽  
Oil Market ◽  
World Economic ◽  
Post Industrial ◽  
Trade Wars ◽  
Further Development

The article attempts to analyze the degree of impact of changes in the ruble exchange rate on the oil market in the conditions of economic instability caused by the coronavirus pandemic. The statistical data for the calculation cover the time from January to May 2020. The importance of the further development of theoretical and methodological approaches to the study of the dependence of the country's economy on external shocks is substantiated. The approach described in the article is considered by the authors based on the analysis of non-stationary time series. The transformation of the post-industrial economy indicates the duality of this process, which manifested itself both in expanding opportunities for the development of the world economic system and in the emergence of new factors of its instability. The main factors complicating its development include the volatility of world prices, the growth of protectionism, the spread of trade wars, the coronavirus pandemic.

scholarly journals The relationship between exchange rates and international trade: a literature review

2013 ◽  
Vol 12 (3) ◽  
pp. 577-605 ◽  
Author(s):  
MARC AUBOIN ◽  
MICHELE RUTA
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Small Firms ◽  
Exchange Rate Volatility ◽  
Production Networks ◽  
Global Production Networks ◽  
Long Run ◽  
The Impact ◽  
The Relationship

AbstractThis paper surveys a wide body of economic literature on the relationship between exchange rates and trade. Specifically, two main issues are investigated: the impact of exchange rate volatility and of currency misalignments on international trade flows. On average, exchange rate volatility has a negative (even if not large) impact on trade. The extent of this effect depends on a number of factors, including the existence of hedging instruments, the structure of production (e.g. the prevalence of small firms), and the degree of economic integration across countries. The second issue involves exchange rate misalignments, which are predicted to have short-run effects in models with price rigidities. However, the exact impact depends on a number of features, such as the pricing strategy of firms engaging in international trade and the importance of global production networks. Trade effects of currency misalignments are predicted to disappear in the long-run, unless an economy is characterized by other relevant distortions. Empirical results broadly confirm these theoretical predictions.

scholarly journals PENGARUH VOLATILITAS NILAI TUKAR TERHADAP VOLUME EKSPOR BEBERAPA KELOMPOK KOMODITI PERDAGANGAN INDONESIA

2008 ◽  
Vol 8 (2) ◽  
pp. 147-173
Author(s):  
Arindra A. Zainal
Keyword(s):  
Exchange Rate ◽  
Export Performance ◽  
Negative Relationship ◽  
Exchange Rate Volatility ◽  
Cointegration Test ◽  
Bretton Wood System ◽  
Conditional Heteroscedasticity ◽  
Long Run ◽  
The Relationship ◽  
Autoregressive Conditional Heteroscedasticity

The relationship between exchange rate volatility and export performance has been scrutinized by many economists since Bretton Wood System collapsed in 1971. Although most of the results show that there is a negative relationship between exchange rate volatility and export performance, we also find that some studies show a positive one. This study used some Indonesian group of commodities data to find the relationship between exchange rate volatility and export performance.While General Autoregressive Conditional Heteroscedasticity (GARCH) was used to calculate exchange rate volatility, this study used Pesharan & Shin ARDL cointegration test in order to find long run relationship between export performance and exchange rate volatility. Only 2 out of 7 equations tested show a long run relationship between exchange rate volatility an export performance and the signs are positive.

scholarly journals MIXTURE DISTRIBUTION HYPOTHESIS AND THE IMPACT OF A TOBIN TAX ON EXCHANGE RATE VOLATILITY: A REASSESSMENT

2015 ◽  
Vol 20 (6) ◽  
pp. 1600-1622 ◽  
Author(s):  
Olivier Damette
Keyword(s):  
Exchange Rate ◽  
Trading Volume ◽  
Exchange Rate Volatility ◽  
Mixture Distribution ◽  
Smooth Transition ◽  
Tobin Tax ◽  
Turbulent Times ◽  
The Impact ◽  
The Relationship

This paper applies smooth transition regressions to incorporate nonlinearity into the impact of trading volume on exchange rate volatility, the so-called mixture distribution hypothesis (MDH). Linking this analysis to the Tobin tax debate, we provide the first empirical corroboration that such a tax may be effective in limiting speculation and reducing exchange rate volatility, especially in turbulent times. Our study points to two main results. First, we show that nonlinearities should be taken into account to explain the MDH. When volatility, spreads, and volume are simultaneously high, the relationship between trading volume and volatility tends to grow stronger and thus the MDH holds in turbulent periods. Second, on the assumption of constant trading volume elasticity, a Tobin tax would have been stabilizing and effective in the 2008 crisis.

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