Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

ARCH and GARCH Based Tests on The Malaysian Stock Market, Interest Rate And Exchange Rate Before And During The Currency Turmoil

View through CrossRef
“This paper attempts to investigate the volatility of the Malaysian financial markets before and during the Southeast Asian currency crisis. The objective of this study is to provide some information on he behaviour of three important financial variables namely the stock market, interest rate and exchange rate which have been badly affected by the crisis. Using the GARCH (1,1) models, the paper investigates the volatility of the three variables before and during the Southeast Asian currency crisis. The results of this study suggest that only KLCI has the ARCH effect before the turmoil but all the variables have the ARCH effect during the turmoil. The results of GARCH(1,1) model indicate the presence of GARCH effects in al the variables before and during the turmoil except for KLIBOR for the period before the turmoil. It is also discovered that the persistency of the volatility for individual variables implies a permanent impact on future volatility. However, when two other variables squared returns are introduced, the coefficients for all individual variables reduced significantly with the exception of KLCI. Therefore, the persistency of the volatility may imply a transitory impact on future volatility or the volatility may decay with time. It also suggests that the persistency of the coefficient for each variable can also be explained by information from the other two variables.
Title: ARCH and GARCH Based Tests on The Malaysian Stock Market, Interest Rate And Exchange Rate Before And During The Currency Turmoil
Description:
“This paper attempts to investigate the volatility of the Malaysian financial markets before and during the Southeast Asian currency crisis.
The objective of this study is to provide some information on he behaviour of three important financial variables namely the stock market, interest rate and exchange rate which have been badly affected by the crisis.
Using the GARCH (1,1) models, the paper investigates the volatility of the three variables before and during the Southeast Asian currency crisis.
The results of this study suggest that only KLCI has the ARCH effect before the turmoil but all the variables have the ARCH effect during the turmoil.
The results of GARCH(1,1) model indicate the presence of GARCH effects in al the variables before and during the turmoil except for KLIBOR for the period before the turmoil.
It is also discovered that the persistency of the volatility for individual variables implies a permanent impact on future volatility.
However, when two other variables squared returns are introduced, the coefficients for all individual variables reduced significantly with the exception of KLCI.
Therefore, the persistency of the volatility may imply a transitory impact on future volatility or the volatility may decay with time.
It also suggests that the persistency of the coefficient for each variable can also be explained by information from the other two variables.

Related Results

Currency Carry Trades and Stock Market Returns in Africa
Currency Carry Trades and Stock Market Returns in Africa
Research Question: Is there a causal link between African currency targeted carry trades and the returns of their stock market indices? What is the nature of return volatility in c...
FORECAST ACCURACIES OF HYBRID OF BILINEAR AND EXPONENTIAL SMOOTH TRANSITION AUTOREGRESSIVE MODELS WITH GARCH MODELS
FORECAST ACCURACIES OF HYBRID OF BILINEAR AND EXPONENTIAL SMOOTH TRANSITION AUTOREGRESSIVE MODELS WITH GARCH MODELS
The study looks at the forecast accuracies of GARCH and Bilinear models on the one hand, and hybrids of Bilnear with GARCH (BL-GARCH) and ESTAR with GARCH (ESTAR-GARCH) models on t...
Peramalan Volatilitas Risiko Berinvestasi Saham Menggunakan Metode GARCH–M dan ARIMAX–GARCH
Peramalan Volatilitas Risiko Berinvestasi Saham Menggunakan Metode GARCH–M dan ARIMAX–GARCH
Model GARCH–M merupakan pengembangan model GARCH yang dimasukkan variansi bersyarat ke dalam persamaan mean. Model ARIMAX–GARCH merupakan penggabungan model ARIMAX dan GARCH. Kedua...
EVALUATING THE FORECAST PERFORMANCE OF ARMA-GARCH AND ST-GARCH USING NIGERIAN GROSS DOMESTIC PRODUCTS
EVALUATING THE FORECAST PERFORMANCE OF ARMA-GARCH AND ST-GARCH USING NIGERIAN GROSS DOMESTIC PRODUCTS
Financial data must first be evaluated for forecast performance before being deemed appropriate for use in economic planning, according to policymakers, investors, academics, and e...
Functional ARCH and GARCH Models: A Yule-Walker Approach
Functional ARCH and GARCH Models: A Yule-Walker Approach
Conditional heteroskedastic financial time series are commonly modelled by ARCH and GARCH. ARCH(1) and GARCH processes were recently extended to the function spaces C[0,1] and L2[0...
Heteroscedasticity effects as component to future stock market predictions using RNN-based models
Heteroscedasticity effects as component to future stock market predictions using RNN-based models
Heteroscedasticity effects are useful for forecasting future stock return volatility. Stock volatility forecasting provides business insight into the stock market, making it valuab...
The dynamic relationship between exchange rates and stock market trends in Tanzania
The dynamic relationship between exchange rates and stock market trends in Tanzania
The purpose of this study was to analyse the impact of the exchange rate on stock market prices in Tanzania. The study used Stock Index Prices data of all firms listed at the Dar e...
Tools for hiding currency risk: application of data analysis
Tools for hiding currency risk: application of data analysis
Purpose- The fluctuations in the exchange rate expose companies that perform foreign currency forward transactions to exchange rate risk. Exchange rate risk affects the internation...

Back to Top