scholarly journals What is the exchange rate volatility response to COVID-19 and government interventions?

2021 ◽  
Vol 69 ◽  
pp. 705-719
Author(s):  
Gen-Fu Feng ◽  
Hao-Chang Yang ◽  
Qiang Gong ◽  
Chun-Ping Chang
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Government Interventions ◽  
The Exchange Rate

Exchange Rate Volatility in Emerging Markets:The Chilean Case

2007 ◽  
pp. 87-100
Author(s):  
Juan R. Castro
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Regime ◽  
External Debt ◽  
Exchange Rate Volatility ◽  
Arch Model ◽  
Macroeconomic Shocks ◽  
Domestic Debt ◽  
Domestic Credit ◽  
The Face ◽  
The Exchange Rate

The document conducts an empirical investigation on the volatility of the Chilean exchange rate regime, using a model of Objective Zones. Through the use of the ARCH model, the document tests the volatility of the exchange rate in the presence of different levels of international reserves and other macroeconomic shocks. The results show that domestic credit, domestic debt and external debt have the greatest impact on the volatility of the variables studied, especially when compared with other fundamental variables. The variance of the exchange rate is heterosedastic but it is not persistent, which implies that the exchange rate is stable, probably when it oscillates between two bands. The volatility of the exchange rate fluctuates to a greater extent in the face of changes in internal and external debt, than with the other variables used.

scholarly journals Exchange Rate Volatility and Domestic Consumption: A Comparative Study of Developed, Developing and Emerging Economies

2019 ◽  
Vol 9 (3) ◽  
pp. 164
Author(s):  
Muhammad Zubair Chishti ◽  
Hafiz Syed Muhammad Azeem ◽  
Farrukh Mahmood ◽  
Adeel Ahmed Sheikh
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Developing Economies ◽  
Exchange Rate Volatility ◽  
Domestic Consumption ◽  
Aggregate Consumption ◽  
Developed Economies ◽  
Panel Data Estimation ◽  
The Exchange Rate ◽  
Data Estimation

The current study endeavors to explore the effects of oscillations in the exchange rate on the household aggregate consumption of developed, emerging, and developing economies, employing the panel data from 1995 to 2017. To select an appropriate panel data estimation technique, we apply Brush-Pagan & Hausman Tests for each set of chosen economies. Further, our study deduces that, in the case of developed economies, the oscillations in the exchange rate, significantly, affect the domestic consumption, supporting Alexander’s (1952) conjecture. However, in the case of emerging and developing economies, aggregate consumption does not respond to the exchange rate volatility.

scholarly journals Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?

2006 ◽  
Vol 96 (3) ◽  
pp. 552-576 ◽  
Author(s):  
Philippe Bacchetta ◽  
Eric van Wincoop
Keyword(s):  
Exchange Rate ◽  
Empirical Evidence ◽  
Rational Expectations ◽  
Exchange Rate Volatility ◽  
Order Flow ◽  
Macroeconomic Variables ◽  
Symmetric Information ◽  
Macroeconomic Fundamentals ◽  
The Exchange Rate ◽  
Exchange Rate Changes

Empirical evidence shows that most exchange rate volatility at short to medium horizons is related to order flow and not to macroeconomic variables. We introduce symmetric information dispersion about future macroeconomic fundamentals in a dynamic rational expectations model in order to explain these stylized facts. Consistent with the evidence, the model implies that (a) observed fundamentals account for little of exchange rate volatility in the short to medium run, (b) over long horizons, the exchange rate is closely related to observed fundamentals, (c) exchange rate changes are a weak predictor of future fundamentals, and (d) the exchange rate is closely related to order flow.

Factors Determining the Exchange Rate Exposure of Firms: Evidence from India

2021 ◽  
pp. 227853372110337
Author(s):  
Zakiya Begum Sayed ◽  
J. Gayathri
Keyword(s):  
Exchange Rate ◽  
Multinomial Logistic Regression ◽  
Exchange Rate Volatility ◽  
Strategic Decision ◽  
Firm Level ◽  
Factors Affecting ◽  
Business Operations ◽  
Industrial Sectors ◽  
Exchange Rate Exposure ◽  
The Exchange Rate

Exchange rate exposure is a strategic decision in finance and risk management at both the micro and macro level of business operations. Literature on the measurement, and management of this risk, has had no consensus on the factors affecting it as these factors seem to be dynamic. In an effort to consider a comprehensive study at the firm level, this article examines the exchange rate exposure of 271 constituent firms from the BSE S&P 500 index. The study period was 2001 to 2020 divided into sub-periods around the financial crises of 2008. The study uses two contemporary approaches (the capital market approach and the cash flow approach) and five relevant exchange rates (USD, EURO, GBP, JPY, and REER) to measure the foreign exchange. The sample firms were divided into 10 industrial sectors to identify the factors that lead to exposure of firms to exchange rate volatility. We use multinomial logistic regression to regress the select factors with the measured value of exchange rate exposure. The findings of the article suggest that multinationality, fixed asset utilization ratio, hedging activities, industrial sectors, size, and age of the firms are the significant determinants of such exposure. The results varied during the sub-periods and across industries.

scholarly journals Exchange rate and interest rate distribution and volatility under the Portuguese target zone

2010 ◽  
Vol 57 (3) ◽  
pp. 261-282 ◽  
Author(s):  
Duarte Portugal ◽  
Sousa Andrade ◽  
Adelaide Duarte
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Exchange Rate Volatility ◽  
European Monetary System ◽  
European Monetary ◽  
Target Zone ◽  
Rate Distribution ◽  
Economies In Transition ◽  
Portuguese Economy ◽  
The Exchange Rate

The aim of this study is to analyse the exchange rate and interest rate distribution and volatility under the participation of the Portuguese economy in the Exchange Rate Mechanism (ERM) of the European Monetary System (EMS) based on some of the main predictions of the target zone literature. Portugal adopted this exchange rate target zone from April 6 1992 until December 31 1998. During this period, the exchange rate distribution reveals that the majority of the observations lie close to the central parity, thus rejecting one of the key predictions of the Paul Krugman (1991) model. The analysis of the data also shows that exchange rate volatility tended to increase as the exchange rate approached the edges of the band, contrary to the predictions of the basic model. Interest rate differential volatility, on the other hand, seemed to behave in line with theoretical predictions. This suggests an increase in the credibility of monetary policy, allowing us to conclude that the adoption of a target zone has contributed decisively to the creation of the macroeconomic stability conditions necessary for the participation in the European Monetary Union (EMU). The Portuguese integration process should therefore be considered as an example to be followed by other small open economies in transition to the euro area.

scholarly journals EFEK KETERBUKAAN PERDAGANGAN PADA VOLATILITAS NILAI TUKAR

2019 ◽  
Vol 10 (1) ◽  
pp. 38-45
Author(s):  
Wayrohi Meilvidiri ◽  
Syahruddin Syahruddin ◽  
Romualdus Turu Putra Maro Djanggo
Keyword(s):  
Exchange Rate ◽  
Money Supply ◽  
Trade Openness ◽  
Exchange Rate Volatility ◽  
Normality Test ◽  
Lm Test ◽  
Exchange Rate Movements ◽  
Negative Effect ◽  
The Exchange Rate ◽  
The Impact

This study uses the q to q dataset for the period 2011-2018, to examine the effect of trade openness on the exchange rate, on the other hand variable money supply, inflation and GDP growth and high-low exchange rates (dummy) will smooth the impact of shocks to the exchange rate . Using the OLS econometric estimator to see the effect of variables and the ARCH method to measure the uncertainty of exchange rate movements. Estimation results show that trade openness (open trade index); the money supply (money supply) and the high-low peak value of the exchange rate have a significant positive effect while the growth variable has a significant negative effect on exchange rate volatility. The LM test simultaneously found ARCH in residual data in lag 1 and lag 2. The normality test found abnormal residuals, while the residual heteroscedasticity test showed no ARCH problems in the last residuals.

scholarly journals Exchange rate re-examined: The varying impact of import and export on exchange rate volatility

2016 ◽  
Vol 7 (1) ◽  
pp. 716-719
Author(s):  
Mohammad Naim Azimi
Keyword(s):  
Exchange Rate ◽  
Random Effects ◽  
Accurate Result ◽  
Exchange Rate Volatility ◽  
Significant Variable ◽  
Random Effects Model ◽  
Cross Sectional ◽  
Import And Export ◽  
The Exchange Rate ◽  
Statistical Results

This paper examines the varying impact of the Import and Export on the impulsiveness nature of the Exchange Rate in four EU (European Union) economies such as Austria, Germany, France and Italy for a period of 56 years from 1960 – 2015. In achieving an accurate result for testing this competing null hypothesis, variables are pooled by regression and the computation of random effects model is found to be rational upon which, the ultimate conclusion is drawn. The statistical results obtained from random effects model show that export is not a significant variable to impact the exchange rate while the import is found to be significant to impact the impulsiveness of the exchange rate across the economies over the concerned period of time. The validity and non-existence of cross sectional independence is further documented by statistical results obtained from the Hausman test.

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