Score-driven models of stochastic seasonality in location and scale: an application case study of the Indian rupee to USD exchange rate

2019 ◽  
Vol 51 (37) ◽  
pp. 4083-4103
Author(s):  
Astrid Ayala ◽  
Szabolcs Blazsek
Keyword(s):  
Exchange Rate ◽  
Indian Rupee

Macroeconomic fundamentals and dynamics of the Indian rupee-dollar exchange rate

2015 ◽  
Vol 7 (4) ◽  
pp. 301-326 ◽  
Author(s):  
Chandan Sharma ◽  
Rajat Setia
Keyword(s):  
Exchange Rate ◽  
Structural Break ◽  
Cointegration Analysis ◽  
Least Square ◽  
Dollar Exchange Rate ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Indian Rupee ◽  
Macroeconomic Fundamentals ◽  
The Impact

Purpose – This paper aims to examine the relationship between Indian rupee-US dollar exchange rate and the macroeconomic fundamentals for the post-economic reform period. Design/methodology/approach – The authors have used an empirical model which includes a range of important macroeconomic variables based on the basic monetary theories of exchange rate determination. At the first stage of the analysis, they have tested structural break in the data. Subsequently, they have employed the fully modified ordinary least square, Wald’s coefficient restriction and impulse response functions (IRF) to estimate the monetary model in the long- and short-run horizons. Findings – Results of analyses indicate that the macroeconomic fundamentals determine exchange rate in a significant way, but their effect varies sizably across the periods. The IRF illustrate the importance of interest rate in controlling exchange rate volatility. Practical implications – The analysis of the behavior of inter-relationship among macroeconomic variables will help policymakers in a deep-rooted understanding of this complex and time-varying relationship. Originality/value – Most of the existing studies have tested the impact of a single or a few macroeconomic fundamentals on exchange rate. But in the present study, we have tested the impact of a range of important variables, i.e. money supply, real income or output, price level and trade balance. Further, considering the importance of structural breaks in data, they authors have employed standard tests of structural break and incorporated the issue in the cointegration analysis.

scholarly journals Measuring the relationship between the balance of payments and the exchange rate - A case study of a group of Arab countries during the period 2000/2016-

2018 ◽  
Vol 2 (2) ◽  
pp. 44-66
Author(s):  
Abd Elouahid SERARMA ◽  
Newfel BAALOUL
Keyword(s):  
Exchange Rate ◽  
Empirical Studies ◽  
Arab Countries ◽  
Balance Of Payments ◽  
Rate System ◽  
Exchange Rate System ◽  
Independent Variable ◽  
The Exchange Rate ◽  
The Relationship

The Objective of this study is to examine the effect of exchange rate system on the balance of payments, with a case study of a group of Arab countries. First we shed light on the most important theoretical and empirical studies of exchange rate systems and their macroeconomics effects in one hand. In the other hand we study a case of six oil exporting Arab countries. To achieve this purpose we adopted a panel data and run an econometric model to examine the relationships between the variables during the period 2000 to 2016. The study concluded that there is a significant positive correlation between the exchange rate as an independent variable and the balance of payments as a dependent variable, and there is no deference in the effects of the exchange system in the study of six Arab economies.

Analisis pengaruh makroekonomi terhadap dana pihak ketiga (DPK) dengan equivalent rate (ER) sebagai variabel intervening

2021 ◽  
pp. 100-123
Author(s):  
Salma Firdayanti Salma ◽  
Yusvita Nena Arinta Nena
Keyword(s):  
Exchange Rate ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
Third Party ◽  
Series Data ◽  
Equivalent Rate ◽  
Negative Effect ◽  
Party Funding

This study aims to determine the Effect of Macroeconomics on Third-Party Funding (TPF) with the Equivalent Rate (ER) as the Intervening Variable (Case Study of Islamic Commercial Banks Period 2016-2020). This type of research is quantitative research which utilizes secondary data in the form of time-series data. Purposive sampling was used as the sampling method. The data that has been obtained later processed using the E-views version 9 application tool. Based on the results, it is shown that the Inflation, BI Rate, and Equivalent Ratevariables partially have a negative effect on TPF, while the Exchange Rate has a positive effect on TPF. Moreover, the variables of Inflation, Exchange Rate, and BI Rate have a positive and significant effect on the Equivalent Rate (ER). It is also found thatThe Equivalent Rate variable cannot mediate the effect of Inflation, Exchange Rate, and BI Rate on TPF.

scholarly journals Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

2019 ◽  
Vol 11 (8) ◽  
pp. 2389 ◽  
Author(s):  
Wang ◽  
Le
Keyword(s):  
Economic Growth ◽  
Decision Making ◽  
Developing Countries ◽  
Economic Development ◽  
Exchange Rate ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Sustainable Economic Development ◽  
Sustainable Economic Growth

Foreign direct investment (FDI) and corporate social responsibility (CSR) spending are one of the major factors in improving sustainable economic development of a country. Therefore, this study focuses on the multi criteria application of FDI and sustainability factors (CSR spending) in various developing countries to explore its impact and decision making for sustainable economic growth. The study uses a case study methodology whereby FDI, exchange rate, and CSR expenditure data from 20 countries were used to assess the efficiency in sustainable economic growth. Data were collected from the World Bank for 20 Asian and African developing countries during 2012–2017 and analyzed using GM (1,1), mean absolute percentage error (MAPE), Malmquist productivity index (MPI)-data envelopment analysis (DEA), and the slacks-based measure of efficiency (SBM) model. Correlation analysis is used to find the relationship for FDI, CSR, exchange rate, gross domestic product (GDP), and GDP per capita (GDPPC). The results of the Malmquist productivity index and the frontier effect clearly highlight that a few countries have witnessed a great improvement in terms of productivity and technological progression. Therefore, the decision makers must adopt the model of those countries with respect to sustainable development of the nation. This study helps developing nations as well as researchers to benchmark efficient countries and follow their strategies to develop a new one for utilizing FDI and CSR spending in sustainable economic development. The study also helps policy makers in multi criterion application of FDI and CSR for decision making in economic development.

scholarly journals Optimization Parameters of Trading System with Constant Modulus of Unit Return

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1384 ◽  
Author(s):  
Krzysztof Piasecki ◽  
Michał Dominik Stasiak
Keyword(s):  
Exchange Rate ◽  
Probability Distributions ◽  
Risk Index ◽  
Binary Representation ◽  
Constant Modulus ◽  
Trading System ◽  
Base Exchange ◽  
Optimization Parameters ◽  
Exchange Medium

The unit return is determined as the return in the quotation currency (QCR) per the unit of base exchange medium (BEM). The main purpose is to examine the applicability of a trading system with a constant modulus of unit return (CMUR). The CMUR system supports speculative operations related to the exchange rate, given as the BEM quotation per the QCR. Premises for investment decisions are based on knowledge about the quotation dynamics described by its binary representation. This knowledge is described by a prediction table containing the conditional probability distributions of exchange rate increments. Any prediction table depends on observation range. Financial effectiveness of any CMUR system is assessed in the usual way by interest rate and risk index based on Shannon entropy. The main aim of our paper is to present algorithms which may be used for selecting effective CMUR systems. Required unit return modulus and observation range are control parameters applied for management of CMUR systems. Optimal values of these parameters are obtained by implementation of the proposed algorithm. All formal considerations are illustrated by an extensive case study linked to gold trading.

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