scholarly journals OFFSHORE AND ONSHORE IDR MARKET: AN EVIDENCE ON INFORMATION SPILLOVER

2012 ◽  
Vol 14 (4) ◽  
pp. 323-348
Author(s):  
Yayat Cadarajat ◽  
Alexander Lubis
Keyword(s):  
Exchange Rates ◽  
Information Transmission ◽  
Emerging Market ◽  
Spot Market ◽  
Forward Rate ◽  
Spot Rate ◽  
Currency Markets ◽  
Daily Data ◽  
Egarch Model ◽  
Information Spillover

This paper investigates the information transmission between off-shore and on-shore Rupiah currency markets Indonesian. We found the evidence of persistent volatility in all IDR/USD markets. Using EGARCH model on daily data for the period of 2008 - 2011, this paper provide several empirical conclusions.-First, the persistent volatility in all IDR/USD currency markets is evident. Second, the leverage effects are present in the rupiah exchange rates, indicating that IDR/USD markets have responded more to depreciation than appreciation, which is generally common in emerging market currencies. Third, the evidence of mean spillover are observed to be uni-directional; from NDF to both spot and forward rupiah markets. However, there are two ways return transmission between NDF and forward rate changes in the period of Europe crisis. Fourth, on the volatility, the spillover is only significant from NDF market to spot market for the entire period. However, in the time of crises, there is interdependence between volatility in offshore NDF and onshore spot rate changes, while information transmission is only valid from NDF to forward rate changes, not the other way around. Fifth, the negative spread of domestic interest rate may lead to depreciation pressure on the currency and positive spread may indicate the appreciation pressure. Keywords: Foreign Exchange, Non-Deliverable Forward, exchange rate, spillover, EGARCH.JEL Classification: F31, G13, C51

scholarly journals OFFSHORE AND ONSHORE IDR MARKET: EVIDENCE ON INFORMATION SPILLOVER

2012 ◽  
Vol 14 (4) ◽  
pp. 343-368 ◽  
Author(s):  
Yayat Cadarajat ◽  
Alexander Lubis
Keyword(s):  
Exchange Rates ◽  
Information Transmission ◽  
Emerging Market ◽  
Spot Market ◽  
Forward Rate ◽  
Spot Rate ◽  
Currency Markets ◽  
Daily Data ◽  
Egarch Model ◽  
Information Spillover

This paper investigates the information transmission between off-shore and on-shore Rupiah currency markets Indonesian. We found the evidence of persistent volatility in all IDR/USD markets. Using EGARCH model on daily data for the period of 2008 - 2011, this paper provide several empirical conclusions.-First, the persistent volatility in all IDR/USD currency markets is evident. Second, the leverage effects are present in the rupiah exchange rates, indicating that IDR/USD markets have responded more to depreciation than appreciation, which is generally common in emerging market currencies. Third, the evidence of mean spillover are observed to be uni-directional; from NDF to both spot and forward rupiah markets. However, there are two ways return transmission between NDF and forward rate changes in the period of Europe crisis. Fourth, on the volatility, the spillover is only significant from NDF market to spot market for the entire period. However, in the time of crises, there is interdependence between volatility in offshore NDF and onshore spot rate changes, while information transmission is only valid from NDF to forward rate changes, not the other way around. Fifth, the negative spread of domestic interest rate may lead to depreciation pressure on the currency and positive spread may indicate the appreciation pressure.Keywords: Foreign Exchange, Non-Deliverable Forward, exchange rate, spillover, EGARCH.JEL Classification: F31, G13, C51

On the Relationship between Stock Prices and Exchange Rates for India

2009 ◽  
Vol 12 (02) ◽  
pp. 289-308 ◽  
Author(s):  
Paresh Kumar Narayan
Keyword(s):  
Exchange Rates ◽  
Stock Prices ◽  
Market Returns ◽  
Stock Market Returns ◽  
Asymmetric Volatility ◽  
Indian Rupee ◽  
Daily Data ◽  
Egarch Model ◽  
The Relationship

In this paper, we apply several variants of the EGARCH model to examine the role of depreciation of the Indian rupee on India's stock market returns using daily data. Our findings suggest that volatility persistence has been high; depreciation of the rupee has increased volatility; and asymmetric volatility confirms that negative shocks generate more volatility than positive shocks. We also find that an appreciation of the Indian rupee over the 2002 to 2006 has generated more returns and less volatility.

scholarly journals Future Spot Rate: The Implications in Indonesia

2020 ◽  
Vol 20 (1) ◽  
pp. 155
Author(s):  
R Adisetiawan ◽  
Pantun Bukit ◽  
Ahmadi Ahmadi
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Empirical Evidence ◽  
Forward Rate ◽  
Spot Rate ◽  
Forward Rates ◽  
Currency Exchange ◽  
Short Period ◽  
The Exchange Rate

Investors, multinational companies and governments require a rate forecasting to make informed decisions about the hedging of debts and receivables, funding and short-term investments, capital budgeting and long-term financing. The process of making forecasting from market indicators, known as market-based forecasting, is usually developed based on spot rates and forward rates. The current spot rate can be used as forecasting, as the exchange rate reflects the market estimate of the spot rate in a short period of time. The forward rate is used in forecasting, as the exchange rate reflects the market estimate of the spot rate at the end of the forecasting period. Based on the research conducted by Chiang (1986) of the samples used, empirical evidence indicates spot rates and forward rates are significant as predictors of future spots. Empirical evidence suggests that spot rates provide better forecasting results compared to forward rates. The research uses regression models for market-based forecasting methods. The variables used in this study are spot rates, forward rates and future spots. The samples used are from Bank Indonesia for spot rates in January – March 2019 and future spot in April – June 2019, and from Jakarta Futures exchange for forward rates in January – March 2019. The Stochastic and Chow Test models are selected and their use has been evaluated using quality and precise testing measures. Based on the sample period used, empirical evidence suggests that spot rates and forward rates are significant in predicting future spots for EUR, JPY and AUD currencies. Current spot rates provide better forecasting results in predicting Future spot compared to the forward rate. Both the 15Ft">  and 15St">  coefficient are sensitive to new information from the variation of the coefficient and time, it can increase the forecasting of the equation to each currency exchange rate used. The study states that variables from time series should be effectively utilized and utilized in predicting currency exchange rates, as this research demonstrates the absence of dependence on time series Can be concluded that foreign exchange rates in each country follow a pattern that is not stationary. The spot Euro exchange rate turns out to be statistically more accurate with an error rate of 0.004144% forecasting with the value of regression coefficient of Euro exchange rate is a Future Spot = 21.504,88 – 0.341229Spot + 15et+1"> .

scholarly journals Forward Rate Bias in Developed and Developing Countries: More Risky Not Less Rational

Econometrics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 43
Author(s):  
Michael D. Goldberg ◽  
Olesia Kozlova ◽  
Deniz Ozabaci
Keyword(s):  
Developing Countries ◽  
Forward Rate ◽  
Currency Markets ◽  
Developed Country ◽  
Slope Coefficient ◽  
Break Points ◽  
Time Periods ◽  
The Stability ◽  
Widespread View ◽  
Shed Light

This paper examines the stability of the Bilson–Fama regression for a panel of 55 developed and developing countries. We find multiple break points for nearly every country in our panel. Subperiod estimates of the slope coefficient show a negative bias during some time periods and a positive bias during other time periods in nearly every country. The subperiod biases display two key patterns that shed light on the literature’s linear regression findings. The results point toward the importance of risk in currency markets. We find that risk is greater for developed country markets. The evidence undercuts the widespread view that currency returns are predictable or that developed country markets are less rational.

Carry Trade, Exchange Rates, and the Balance-of-Payments

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nelson H. Barbosa-Filho
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Real Exchange Rate ◽  
Foreign Debt ◽  
Balance Of Payments ◽  
Forward Rate ◽  
Spot Rate ◽  
Financial Constraint ◽  
Carry Trade ◽  
The Real

Abstract This paper presents a partial equilibrium model that integrates interest rate arbitrage with the balance-of-payments constraint to determine the real exchange rate. The sequential logic is the following: (i) carry-trade determines the term premium, with the spot rate showing greater volatility than the forward rate, (ii) uncovered interest rate parity determines the spot rate based on the real exchange rate consistent with a financial constraint, defined as a stable ratio of foreign reserves to foreign debt; and (iii) the trade balance consistent with the financial constraint determines the long-run real exchange rate for a given ratio of domestic to foreign income.

scholarly journals Which global stock indices trigger stronger contagion risk in the Vietnamese stock market? Evidence using a bivariate analysis

2013 ◽  
Vol 60 (4) ◽  
pp. 473-497 ◽  
Author(s):  
Kuan-Min Wang ◽  
Hung-Cheng Lai
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Correlation Coefficients ◽  
Bivariate Analysis ◽  
Contagion Effects ◽  
Daily Data ◽  
The Us ◽  
Egarch Model ◽  
Bivariate Egarch Model ◽  
Contagion Risk

This paper extends recent investigations into risk contagion effects on stock markets to the Vietnamese stock market. Daily data spanning October 9, 2006 to May 3, 2012 are sourced to empirically validate the contagion effects between stock markets in Vietnam, and China, Japan, Singapore, and the US. To facilitate the validation of contagion effects with market-related coefficients, this paper constructs a bivariate EGARCH model of dynamic conditional correlation coefficients. Using the correlation contagion test and Dungey et al.?s (2005) contagion test, we find contagion effects between the Vietnamese and four other stock markets, namely Japan, Singapore, China, and the US. Second, we show that the Japanese stock market causes stronger contagion risk in the Vietnamese stock market compared to the stock markets of China, Singapore, and the US. Finally, we show that the Chinese and US stock markets cause weaker contagion effects in the Vietnamese stock market because of stronger interdependence effects between the former two markets.

scholarly journals Study of efficiency and information transmission for agricultural futures markets: a comparative analysis between Buenos Aires and Chicago using monthly and daily data

2017 ◽  
Vol 34 (69) ◽  
pp. 3-23
Author(s):  
Jeremías Lachman ◽  
Pablo Jack
Keyword(s):  
Comparative Analysis ◽  
Information Transmission ◽  
Market Efficiency ◽  
Futures Markets ◽  
Buenos Aires ◽  
Relevant Information ◽  
Futures Market ◽  
Daily Data ◽  
Agricultural Futures ◽  
The One

This paper aims to study and compare the efficiency in futures markets for soybean crop between Buenos Aires (MATBA) and Chicago (CME–CBOT) for the years 1994 through 2015. There are numerous studies that analyze this phenomenon independently, but few of them have done a comparative analysis between marke- ts. Therefore, the main objective of this research — in addition to individually analyzing the efficiency in futures market in each country — is to be able to detect the existence of a relationship between the two markets. In this article we show that, in addition for market efficiency in all cases, market efficiency in MatBa was derived from the efficiency in CME–CBOT. This means that relevant information is transmitted from the Chicago market to the one in Buenos Aires. By using a cointegration approach based on Johansen (1995) we estimated the models with monthly and daily data.

PALM OIL PRICE–EXCHANGE RATE NEXUS IN INDONESIA AND MALAYSIA

2021 ◽  
Vol 24 (2) ◽  
pp. 169-180
Author(s):  
Afees Salisu ◽  
Abdulsalam Abidemi Sikiru
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Palm Oil ◽  
Commodity Prices ◽  
Oil Price ◽  
Future Research ◽  
Daily Data ◽  
Out Of Sample ◽  
Exchange Rate Movements ◽  
Predictive Content

In this study, we extend the literature analyzing the predictive content of commodity prices for exchange rates by examining the role of palm oil price. Our analysis focuses on Indonesia and Malaysia, the two top producers and exporters of palm oil, and utilizes daily data covering the period from December 12, 2011 to March 29, 2021, which is partitioned into two sub-samples based on the COVID-19 pandemic. Relying on a methodology that accommodates some salient features of the variables of interest, we find that on average the in-sample predictability of palm oil price for exchange rate movements is stronger for Indonesia than for Malaysia. While Indonesia’s exchange rate appreciates due to a rise in palm oil price regardless of the choice of predictive model, Malaysia’s exchange rate only appreciates after adjusting for oil price. However, both exchange rates do not seem to be resilient to the COVID-19 pandemic as they depreciate amidst dwindling palm oil price. Similar outcomes are observed for the out-of-sample predictability analysis. We highlight avenues for future research and the implications of our results for portfolio diversification strategies.

A RESEARCH ON THE CAUSAL RELATIONSHIP BETWEEN INVESTMENT PREFERENCES

2021 ◽  
Vol 6 (16) ◽  
pp. 36-46
Author(s):  
Elif YÜCEL
Keyword(s):  
Interest Rate ◽  
Exchange Rates ◽  
Causal Relationship ◽  
Causality Test ◽  
Daily Data ◽  
Domestic Debt ◽  
The Interest Rate ◽  
Index Value ◽  
Macro Variables ◽  
Investment Choices

This study aims to measure the causal relationship between the dollar and euro at exchange rates among today's investment instruments and the deposit interest rate, Gold, Bist xu100 and the index of government domestic debt securities.Dec. Dec. The data in the study are daily data between 17/08/2017-26/05/2021 and were selected from a recent time Dec. Data with CBRT evds resources investing.com retrieved from. In this way, it is possible to see how variables adapt to today's financial world and the pandemic period. The method of the study is the Granger causality test, which is often used in time series analysis. When individuals make investment choices, they choose according to the fact that macro variables such as inflation, growth rate, and Exchange Rates fluctuate during periods of crisis and recession. This often affects even the credit demands of institutional investors. Central banks want to influence macro variables with various intervention tools, but because the economies of some countries are fragile, individuals can often suffer even as a result of these optimistic policies. According to the results of this study, the dependent variable in the model where the BIST100 index of the dollar and gold values, the probability of 0.000<0.05 causal relationship is true of dollars for deposit in the model where the dependent variable is the interest rate of government securities of the index, the probability value of 0.0001 p<0.05 and Bist100 index 0.0162 probability value<0.05 and the probability for the value of the dollar 0.02<0.05 can be considered to be a causal relationship due to being towards deposit rates. The probability of the dependent variable in a model of the euro BIST100 index value 0.0001 p<0.05, gold probability value of 0.000<0.05 Euros causal relationship is true for government securities in another model where the dependent variable of 0.0040 p<0.05 probability value from deposits with interest ,0.0000 p<0.05 0.0043 Bist100 index and the probability value p<0.05 is the probability for the value of government securities under de towards causality can be said. In a model in which the Bist100 index is a dependent variable, there was a causal relationship towards the Bist100 index ,as the probability value of the euro was 0.0012<0.05, the probability value of gold was 0.0000<0.05, the probability value of government domestic debt securities was 0.0013<0.05, and the probability value of the dollar was 0.0007<0.05. Finally, the model in which gold is a dependent variable concluded that there is no causal relationship between the Euro, dollar, dibs and Bist100 index and deposit interest to gold, since the probability values of other variables are greater than 0.05.

ARFIMA Tests for Random Walks in Exchange Rates in Asian, Latin American and African-Middle Eastern Markets

2010 ◽  
Vol 13 (01) ◽  
pp. 1-18 ◽  
Author(s):  
David Karemera ◽  
John Cole
Keyword(s):  
Random Walk ◽  
Exchange Rates ◽  
Random Walks ◽  
Latin American ◽  
Emerging Market ◽  
Middle Eastern ◽  
Fractional Integration ◽  
Market Exchange ◽  
Forecast Performance ◽  
Integrated Processes

This article examines fractional processes as alternatives to random walks in emerging foreign exchange rate markets. Sowell's (1992) joint maximum likelihood is used to estimate the ARFIMA parameters and test for random walks. The results show that, in most cases, the emerging market exchange rates follow fractionally integrated processes. Forecasts of exchange rates based on the fractionally integrated autoregressive moving average models are compared to those from the benchmark random walk models. A Harvey, Leybourne and Newbold (1997) test of equality of forecast performance indicates that the ARFIMA forecasts are more efficient in the multi-step-ahead forecasts than the random walk model forecasts. The presence of fractional integration is seen to be associated with market inefficiency in the exchange markets examined. The evidence suggests that fractional integrated processes are viable alternatives to random walks for describing and forecasting exchange rates in the emerging markets.

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