scholarly journals Transmisi Volatilitas antara Nilai Tukar dan Indeks Harga Saham Gabungan di Pasar Finansial Indonesia: Analisa Setelah Krisis Finansial Asia 1997

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Anhar Fauzan Priyono
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Composite Index ◽  
Asian Crisis ◽  
The Other ◽  
Var Model ◽  
Volatility Transmission ◽  
Other Hand ◽  
Us Dollar

Volatility of Indonesia Rupiah and Jakarta Composite Index remain one of main issues in Indonesia economy after 1997 Asian crisis. The objectives of this research are (1) determining the volatility of Indonesia Rupiah to US Dollar exchange rates and Jakarta Composite Index (JCI) and (2) analysing the dynamic volatility transmission between exchange rates and JCI. Exchange rate and JCI volatility were measured using GARCH(1,1) approach. Estimated using VAR model, this study found that current volatility of exchange rate (ER) respond significantly to the change of volatility of Jakarta Composite Index (JCI) in the previous 2 months. On the other hand, contribution of JCI volatility to ER is greater than ER volatility to JCI, supporting the portfolio balanced theory.

MODELING THE INTERACTIONS OF STOCK PRICE AND EXCHANGE RATE IN MALAYSIA

2009 ◽  
Vol 54 (04) ◽  
pp. 605-619 ◽  
Author(s):  
MOHD TAHIR ISMAIL ◽  
ZAIDI BIN ISA
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Stock Prices ◽  
Stock Price ◽  
Price Index ◽  
Composite Index ◽  
Regime Shifts ◽  
Var Model ◽  
Vector Autoregressive ◽  
Stock Price Index

After the East Asian crisis in 1997, the issue of whether stock prices and exchange rates are related or not have received much attention. This is due to realization that during the crisis the countries affected saw turmoil in both their currencies and stock markets. This paper studies the non-linear interactions between stock price and exchange rate in Malaysia using a two regimes multivariate Markov switching vector autoregression (MS-VAR) model with regime shifts in both the mean and the variance. In the study, the Kuala Lumpur Composite Index (KLCI) and the exchange rates of Malaysia ringgit against four other countries namely the Singapore dollar, the Japanese yen, the British pound sterling and the Australian dollar between 1990 and 2005 are used. The empirical results show that all the series are not cointegrated but the MS-VAR model with two regimes manage to detect common regime shifts behavior in all the series. The estimated MS-VAR model reveals that as the stock price index falls the exchange rates depreciate and when the stock price index gains the exchange rates appreciate. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).

The Stochastic Character of Japanese Exchange Rates

2004 ◽  
Vol 5 (1) ◽  
pp. 77-90
Author(s):  
Nikiforos Laopodis
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Exchange Rate Volatility ◽  
Transmission Mechanism ◽  
Good News ◽  
Volatility Transmission ◽  
Volatility Spillovers ◽  
The Us ◽  
Us Dollar ◽  
Multivariate Exponential

The paper explores the stochastic character of six yen exchange rates with respect to the Canadian dollar, French franc, Italian lira, German mark, British pound and the US dollar for the 1973-2002 periods. The methodological design is the multivariate Exponential GARCH model, which is capable of capturing asymmetries in the exchange rate volatility transmission mechanism. The results point to significant reciprocal and positive volatility spillovers after the Plaza Accord of 1985. Furthermore, the finding of absence of asymmetry in the same period implies that bad and/or good news in a particular market positively and equally affects volatility in the next market.

The Exchange Rate, Interest Rates and the Current Balance ln a Forward-Looking Model

1988 ◽  
Vol 125 ◽  
pp. 40-45 ◽  
Author(s):  
Andrew Gurney
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Interest Rates ◽  
Balance Of Payments ◽  
Capital Inflows ◽  
The Other ◽  
Other Hand ◽  
The Exchange Rate ◽  
Temporary Rise ◽  
Forward Looking

In March this year, after a year in which policy appeared to be aimed at achieving stability against EMS currencies, the pound was allowed to rise sharply in response to large capital inflows. As with many fluctuations in exchange rates, this development was puzzling in that the prospects for the balance of payments suggested that the rise in sterling would not prove sustainable. On the other hand, high UK interest rates, particularly in relation to those available in EMS countries, provided some rationale for a temporary rise. This note uses a simple forward-looking equation for the exchange rate to illustrate the implications of alternative paths for interest rates and the balance of payments. A number of simulations are presented to illustrate the key elements of this approach.

Islamic hedging for pilgrimage funds: case of Indonesia

2019 ◽  
Vol 11 (3) ◽  
pp. 328-341
Author(s):  
Rifki Ismal ◽  
Nurul Izzati Septiana
Keyword(s):  
Exchange Rate ◽  
The Other ◽  
Exchange Rate Risk ◽  
Content Type ◽  
Other Hand ◽  
Rate Risk ◽  
Risk Identify ◽  
Hajj Season ◽  
The Right ◽  
Very High

Purpose The demand for Saudi Arabian real (SAR) is very high in the pilgrimage (hajj) season while the authority, unfortunately, does not hedge the hajj funds. As such, the hajj funds are potentially exposed to exchange rate risk, which can impact the value of hajj funds and generate extra cost to the pilgrims. The purpose of this paper is to conduct simulations of Islamic hedging for pilgrimage funds to: mitigate and minimize exchange rate risk, identify and recommend the ideal time, amount and tenors of Islamic hedging for hajj funds, estimate cost saving by pursuing Islamic hedging and propose technical and general recommendations for the authority. Design/methodology/approach Forward transaction mechanism is adopted to compute Islamic forward between SAR and Rupiah (Indonesian currency) or IDR. Findings – based on simulations, the paper finds that: the longer the Islamic hedging tenors, the better is the result of Islamic hedging, the decreasing of IDR/USD is the right time to hedge the hajj funds and, on the other hand, the IDR/SAR appreciation is not the right time to hedge the hajj funds. Findings Based on simulations, the paper finds that: the longer the Islamic hedging tenors, the better is the result of Islamic hedging, the decreasing of IDR/USD is the right time to hedge the hajj funds and, on the other hand, the IDR/SAR appreciation is not the right time to hedge the hajj funds. Research limitations/implications The research suggests the authority to (and not to) hedge the hajj fund, depending on economic conditions and market indicators. Even though the assessment is for the Indonesian case, other countries maintaining hajj funds might also learn from this paper. Originality/value To the best of author’s knowledge, this is the first paper in Indonesia that attempts to simulate the optimal hedging of hajj funds.

scholarly journals Exchange Rates and Monetary Fundamentals: What Do We Learn from Linear and Nonlinear Regressions?

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Guangfeng Zhang
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Correction Model ◽  
Exchange Rate Dynamics ◽  
Long Run ◽  
Exchange Rate Movements ◽  
Short Run ◽  
Us Dollar ◽  
Linear And Nonlinear ◽  
Japanese Yen

This paper revisits the association between exchange rates and monetary fundamentals with the focus on both linear and nonlinear approaches. With the monthly data of Euro/US dollar and Japanese yen/US dollar, our linear analysis demonstrates the monetary model is a long-run description of exchange rate movements, and our nonlinear modelling suggests the error correction model describes the short-run adjustment of deviations of exchange rates, and monetary fundamentals are capable of explaining exchange rate dynamics under an unrestricted framework.

Economic complexity and price competitiveness dependence: empirical evidence using panel models

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Magacho ◽  
Rafael Ribeiro ◽  
Igor Rocha
Keyword(s):  
Exchange Rate ◽  
Generalized Method Of Moments ◽  
Output Growth ◽  
The Other ◽  
Content Type ◽  
Price Competitiveness ◽  
Economic Complexity ◽  
Other Hand ◽  
The Impact

Purpose As economies with high economic complexity and productive capabilities may easily adapt their productive structure due to product differentiation and innovation, the central variable of competitiveness for these countries is the product quality, not price. On the other hand, the price can be an important determinant of less complex countries, and hence, real exchange rate (RER) misalignments may have long-term impacts. This paper aims to empirically assess variations in the magnitude of the impact in RER misalignments on output growth subject to countries’ economic complexity. Design/methodology/approach The estimation technique used is the generalized method of moments-System estimator as this method is robust to reverse causality. Heterogeneous regressions using interaction models are undertaken to analyze to what extend promoting economic complexity can reduce price competitiveness dependence and allow countries to grow faster without relying on cost competitiveness. Findings Estimates show that economic complexity (which measures technological and productive capabilities) determines cross-country differences regarding the effects of RER misalignments on countries’ long-term growth rates. The results suggest that exchange rate devaluations may not be effective for countries at the top end of the technological ladder while an overvalued RER may damage the long-term growth rate of countries with low levels of economic complexity. Originality/value This paper contributes to the literature by empirically investigating the impact of RER misalignments in countries with distinct technological and productive capabilities based on the recent developments of countries’ economic complexity analysis. It investigates whether more diversified and complex economies are less sensitive to RER misalignments as they can adapt their production, undertake other tasks, create new products and increase the quality of products they produce. Less complex economies, on the other hand, are less capable of innovating because it demands productive capabilities they do not have, and hence, they are more dependent on their current export basket.

An Empirical Analysis of FII Movement and Currency Value in India

2015 ◽  
pp. 207-217
Author(s):  
Saurabh Sen ◽  
Ruchi L. Sen
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Critical Role ◽  
Institutional Investment ◽  
Currency Futures ◽  
Overall Performance ◽  
Foreign Institutional Investors ◽  
Us Dollar ◽  
The Impact ◽  
The Relationship

India opened its stock market to foreign investors in September 1992 and has received portfolio investment from foreigners in the form of foreign institutional investment in equities and other markets including derivatives. It has emerged as one of the most influential groups to play a critical role in the overall performance of the Indian economy. The liberalization of FII flows into the Indian capital market since 1993 has had a significant impact on the economy. With increased volatility in exchange rate and to mitigate the risk arising out of excess volatility, currency futures were introduced in India in 2008, which is considered a second important structural change. This chapter examines the impact of the Foreign Institutional Investors (FIIs) on the exchange rate and analyzes the relationship between FII and Indian Rupee-US Dollar exchange rates.

scholarly journals Why is inflation targeting adopted?

2020 ◽  
Vol 12 (1) ◽  
pp. 56
Author(s):  
Yutaka Kurihara
Keyword(s):  
Developing Countries ◽  
Exchange Rate ◽  
Central Bank ◽  
Inflation Targeting ◽  
Developed Countries ◽  
The Other ◽  
Other Hand ◽  
Central Bank Credibility

Since the early 1990s, inflation targeting (IT) has been conducted in many countries and the number of the countries has been increasing rapidly. The outcomes of adopting IT has been discussed, however, the incentives of adopting IT is not fully examined. This study focuses on this issue empirically. The results are clearly divided into two types of countries. In developed countries, budget/GDP ratio, central bank credibility, exchange rate stability, and openness of the economy are deterministic elements of adopting IT, however interestingly, inflation itself does not play any roles of adopting IT. On the other hand, only inflation is the deterministic element of adopting IT in developing countries. Other elements, that are deterministic elements in developed countries, do not any effects on introducing IT. Moreover, countries would not like to limit the scope of policies when the economy’s openness is high.

EXTENDED DAILY EXCHANGE RATES FORECASTS USING WAVELET TEMPORAL RESOLUTIONS

2005 ◽  
Vol 01 (01) ◽  
pp. 79-107 ◽  
Author(s):  
MAK KABOUDAN
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Exchange Rate ◽  
Random Walk ◽  
Genetic Programming ◽  
Exchange Rates ◽  
Us Dollar ◽  
Artificial Neural ◽  
Japanese Yen ◽  
The One

Applying genetic programming and artificial neural networks to raw as well as wavelet-transformed exchange rate data showed that genetic programming may have good extended forecasting abilities. Although it is well known that most predictions of exchange rates using many alternative techniques could not deliver better forecasts than the random walk model, in this paper employing natural computational strategies to forecast three different exchange rates produced two extended forecasts (that go beyond one-step-ahead) that are better than naïve random walk predictions. Sixteen-step-ahead forecasts obtained using genetic programming outperformed the one- and sixteen-step-ahead random walk US dollar/Taiwan dollar exchange rate predictions. Further, sixteen-step-ahead forecasts of the wavelet-transformed US dollar/Japanese Yen exchange rate also using genetic programming outperformed the sixteen-step-ahead random walk predictions of the exchange rate. However, random walk predictions of the US dollar/British pound exchange rate outperformed all forecasts obtained using genetic programming. Random walk predictions of the same three exchange rates employing raw and wavelet-transformed data also outperformed all forecasts obtained using artificial neural networks.

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