scholarly journals Economic Consequences of Covid-19 Pandemic: An Analysis of Exchange Rate Behaviour

2021 ◽  
Vol 12 (2) ◽  
pp. 258-284
Author(s):  
Maheswar Sethi ◽  
Sakti Ranjan Dash ◽  
Rabindra Kumar Swain ◽  
Seema Das
Keyword(s):  
Exchange Rate ◽  
Economic Consequences ◽  
Asymmetric Effect ◽  
Currency Exchange ◽  
Currency Exchange Rate ◽  
Effect Regression ◽  
Asymmetric Impact ◽  
The Exchange Rate ◽  
The Impact ◽  
Rate Behaviour

This paper examines the effect of Covid-19 on currency exchange rate behaviour by taking a sample of 37 countries over a period from 4th January 2020 to 30th April 2021. Three variables, such as daily confirmed cases, daily deaths, and the world pandemic uncertainty index (WPUI), are taken as the measure of Covid-19. By applying fixed-effect regression, the study documents that the exchange rate behaves positively to the Covid-19 outbreak, particularly to daily confirmed cases and daily deaths, which implies that the value of other currencies against the US dollar has been depreciated. However, the impact of WPUI is insignificant. On studying the time-varying impact of the pandemic, the study reveals that the Covid-19 has an asymmetric impact on exchange rate over different time frames. Further, it is observed that though daily confirmed cases and daily deaths show a uniform effect, WPUI puts an asymmetric effect on the exchange rate owing to the nature of economies.

scholarly journals Forecasting The Exchange Rate (IDR) of US Dollar (USD) Using Locally Stationary Wavelet

2018 ◽  
Vol 18 (2) ◽  
pp. 145-154
Author(s):  
Dina Tri Utari
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Market Mechanism ◽  
Series Data ◽  
Percentage Error ◽  
Currency Exchange ◽  
Currency Exchange Rate ◽  
Us Dollar ◽  
The Exchange Rate ◽  
The Impact

Currency exchange rate of a country to the other countries is fluctuative. The movement of the exchange rate affects the country’s economy. The exchange rate can change any time according to the market mechanism, therefore currency exchange predictions is required to determine future economic policy. Based on the impact of exchange rate in economy fluctuations, an accurate model is needed to determine the exchange rate movements.In this case, the model is Locally Stationary Wavelet (LSW). This model combines stocastic process class based on wavelet non decimated. LSW model can catch most of the information in time series data. Based on the application of LSW mtehod on the data of the rupiah against the US dollar for the period April 2016 - March 2017, it can be concluded that model provides forecasting results approaching actual data therefore it can be used for forecasting exchange rates. The value of the mean absolute percentage error (MAPE) is 0,1201293%. 

scholarly journals Estimating the Impact of Devaluation the Exchange Rate on Inflation: A Cause Study of Iraq Using ARDL Model

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 475-486
Author(s):  
Niam A. Fawaz ◽  
Saad A. Hamaad
Keyword(s):  
Exchange Rate ◽  
Budget Deficit ◽  
Balance Of Payments ◽  
General Level ◽  
Monetary Policies ◽  
Ardl Model ◽  
Currency Exchange ◽  
Import And Export ◽  
The Exchange Rate ◽  
The Impact

The exchange rate tool is one of the most important macroeconomic tools that affect many variables, including the general level of prices, investment, import and export. In the case of a deteriorating economy such as the Iraqi economy, which suffers from a high import rate of final goods and intermediate goods, which are considered inputs to production processes, means exit Foreign exchange to abroad that affects the position of the balance of payments and its imbalance. It is very abnormal for countries to reduce the value of their currency exchange for financing reasons related to financing their public budget deficit without taking into account macroeconomic variables. All of these matters reflect a clear confusion of the fiscal and the monetary policies. The results of the current study by using the ARDL model have proven the direct impact of currency devaluation on inflation.

scholarly journals Web Intelligent for Forecasting Exchange Rate Currency using Clever Extraction Agent Combine with Financial Data Mining

2021 ◽  
Vol 15 ◽  
pp. 1-7
Author(s):  
Khammapun Khantanapoka
Keyword(s):  
Data Mining ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Financial Data ◽  
Exchange Rate Forecasting ◽  
Currency Exchange ◽  
The Exchange Rate ◽  
The Individual ◽  
The Impact ◽  
Pattern Index

From the current economic climate results in fluctuations of currency exchange rates in all countries. Since the most countries use USD as the reference exchange rate. The exchange rate will change from day to day so variety of factors which affect the exchange rate forecasting in the exchange rates in advance are critical to evaluate for the impact of the economic system of each country. It is important for investment decisions, exports, and profitability in the money market. It was reported on website (www) in the daily exchange rate changes. We use clever search agent (CSA) gather information from financial website generate to financial data mining. Kohonen Neural Networks is the method to determine similarity of internet documents using pattern index of financial document. And Ontology Structure of Sentence is the method to determine keyword using pattern index of financial content. Both are important components of Financial Data Mining. It is analyzed for exchange rate forecasting about USD/ Pounds. Our experimental forecast exchange rates for currency's USD / Great Britain Pounds by compare three algorithms as fallows GA, Meiosis Genetic Algorithms (MGA). This research propose new algorithm is called Dash Predator Swarm Optimization (DP2SO) which are accurate in prediction than other methods in generation of Genetic algorithm (GA) 35.83-41.52% which it depend on the accuracy of the information in each factor which are important finance dataset. It will present the future trends of exchange rate to the individual website.

FORECASTING THE RUBLE EXCHANGE RATE BASED ON THE MACROECONOMIC PARAMETERS

2020 ◽  
Vol 2 (6) ◽  
pp. 73-81
Author(s):  
L. A. CHALDAEVA ◽  
◽  
A. A. DANILIN ◽  
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Econometric Model ◽  
National Currency ◽  
Exchange Rate Fluctuation ◽  
Currency Exchange ◽  
Currency Exchange Rate ◽  
Rate Fluctuation ◽  
The Exchange Rate ◽  
Major Factors

This article covers the forecasts of the USD/RUB exchange rate based on the econometric model. The major factors effect on the national currency exchange rate are interest rate, inflation, and price of oil. The reasons of the exchange rate fluctuation have been presented in this paper. A possible scenario of future USD/RUB fluctuations has been considered in this article.

THE ASYMMETRIC IMPACT OF RER-MISALIGNMENT ON ECONOMIC GROWTH: AN APPLICATION OF HODRICK–PRESCOTT FILTER TECHNIQUE

2021 ◽  
pp. 1-29
Author(s):  
GHOSIA AYAZ ABBASI ◽  
D. JAVED IQBAL
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Negative Impact ◽  
Asymmetric Effect ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Exchange Rate Misalignment ◽  
Asymmetric Impact ◽  
Exchange Rate Changes ◽  
The Impact

Previous studies that examined the impact of exchange rate misalignment on economic growth were based on the symmetric approach where both overvalued and undervalued exchange rates were supposed to affect the economic growth in a similar way. However, in recent years, a number of studies have established that exchange rate changes affect the trade flows in an asymmetric way. Hence, this study investigates the asymmetric effect of exchange rate misalignment on the economic growth of Pakistan. The findings of the study indicate that in the case of the symmetric approach, exchange rate misalignment has a negative impact on economic growth. However, after applying the nonlinear ARDL approach, the study finds significant evidence in favor of the asymmetric effect of exchange rate misalignment on economic growth. Interestingly, the results indicate that undervaluation spurs while over-valuation hampers the economic growth in Pakistan. The study recommends that though under-valued exchange rate may have temporary relief for the economy, yet in the long run, a market-based equilibrium exchanger rate is imperative for a developing economy like Pakistan.

scholarly journals An Intelligent Event-Sentiment-Based Daily Foreign Exchange Rate Forecasting System

2019 ◽  
Vol 9 (15) ◽  
pp. 2980 ◽  
Author(s):  
Muhammad Yasir ◽  
Mehr Yahya Durrani ◽  
Sitara Afzal ◽  
Muazzam Maqsood ◽  
Farhan Aadil ◽  
...  
Keyword(s):  
Deep Learning ◽  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Currency ◽  
Foreign Exchange Rate ◽  
Exchange Rate Forecasting ◽  
Currency Exchange ◽  
Currency Exchange Rate ◽  
Us Dollar ◽  
The Exchange Rate

Financial time series analysis is an important research area that can predict various economic indicators such as the foreign currency exchange rate. In this paper, a deep-learning-based model is proposed to forecast the foreign exchange rate. Since the currency market is volatile and susceptible to ongoing social and political events, the proposed model incorporates event sentiments to accurately predict the exchange rate. Moreover, as the currency market is heavily dependent upon highly volatile factors such as gold and crude oil prices, we considered these sensitive factors for exchange rate forecasting. The validity of the model is tested over three currency exchange rates, which are Pak Rupee to US dollar (PKR/USD), British pound sterling to US dollar (GBP/USD), and Hong Kong Dollar to US dollar (HKD/USD). The study also shows the importance of incorporating investor sentiment of local and foreign macro-level events for accurate forecasting of the exchange rate. We processed approximately 5.9 million tweets to extract major events’ sentiment. The results show that this deep-learning-based model is a better predictor of foreign currency exchange rate in comparison with statistical techniques normally employed for prediction. The results present evidence that the exchange rate of all the three countries is more exposed to events happening in the US.

scholarly journals Profit bridges that disambiguate impacts of currency fluctuations from other marketing variables

2021 ◽  
Author(s):  
Tim J. Smith ◽  
Kyle T. Westra ◽  
Nathan L. Phipps
Keyword(s):  
Exchange Rate ◽  
Multinational Corporation ◽  
Variable Cost ◽  
Currency Exchange ◽  
Business Units ◽  
Exchange Rate Fluctuations ◽  
Currency Exchange Rate ◽  
Marketing Variables ◽  
Exchange Rate Changes ◽  
The Impact

AbstractWe extend the normalized approach to constructing profit bridges proffered in a recent paper to examine the impact of currency exchange rate fluctuations within a multinational corporation. In doing so, we describe a profit bridge that would measure corporate performance distinct from that which would measure the performance of business units, including metrics for the impact of volume, price, variable cost, offering mix, and exchange rate changes.

scholarly journals GDP Development of China and USA in terms of mutual sanctions and COVID-19

2021 ◽  
Vol 92 ◽  
pp. 07061
Author(s):  
Petr Šuleř ◽  
Jaromír Vrbka
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Global Economy ◽  
Market Access ◽  
Value Added ◽  
Security Issues ◽  
Currency Exchange ◽  
Currency Exchange Rate ◽  
The Usa ◽  
The Impact

Research background: China’s share in the global economy has experienced a swift growth since opening up and reforming the country’s foreign policy in 1978. USA sanction on China has so far concentrated on a heap of issues including China’s enormous exchange shortfall with the U.S., currency control, constrained market access, licensed innovation robbery and security issues identified with Huawei. Also, USA sanction on China has so far lead to a decrease in exports and outflow of FDI, reduce in the inflow trade and investment, and apparently hinders the Chinese GPD growth and diminished its currency exchange rate. Purpose of the article: The aim is to predict the future development of the GDP of the China and the USA and to estimate their further development through the prism of mutual trade sanctions and COVID-19. Methods: The data collection demonstrates the course of a time series of a daily RMB exchange rate development from the beginning of 1992 to June 2020. Furthermore, it represents the time series of a quarterly development of the Chinese GDP for the same time period. Using neural networks, a regression for different variants of the time series delay in connection with the analysis of the USA sanctions is conducted. Findings & Value added: The GDP of both countries has developed over the last two years, as if sanctions had not been imposed. However, the situation is changing with COVID-19. In this case, it is clear that the impact will be more significant. US GDP will stagnate. PRC GDP will fall.

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