The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model
碩士 === 國立臺灣大學 === 國際企業學系 === 86 === THESIS ABSTRACT In this paper, we examine the daily behavior of exchange rate with ARCH model which was developed by Engle in 1982 and GARCH model which was developed by Bollerslev in 1986. We use daily...
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ndltd-TW-086NTU003200182016-06-29T04:13:40Z http://ndltd.ncl.edu.tw/handle/16022894713199509475 The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model 外匯市場星期效果實證-自我迴歸條件異質變異數模型之應用 Li, Chian-Jang 李乾彰 碩士 國立臺灣大學 國際企業學系 86 THESIS ABSTRACT In this paper, we examine the daily behavior of exchange rate with ARCH model which was developed by Engle in 1982 and GARCH model which was developed by Bollerslev in 1986. We use daily exchange returns of US dollars , Japanese yen , Hong Kong dollars , Deutsche marks , UK pound sterling , South Korean won , Swiss francs spanning from 1988 to 1996 to discuss : (1) the stationarity of exchange rate data , (2) the statistical properties of daily exchange returns of seven foreign currencies and (3) to test t Day-of-the-Week effect with ARCH and GARCH model . As a result of the findings from , the empirical analysis : First of all , it is a test of stationarity of daily exchange rate data by using unit root test with DF and PP method , we can not reject the hypothesis which have unit root situation initially. Additionally , further analysis reveal that the data have stationary properties as the first difference . Secondly , in order to investigate the statistical properties of daily exchange returns data , the empirical findings suggest that the data are neither independent nor identically distributed. Furthermore, there are autocorrelation and heteroskedasticity with overall data. Thus , the conclusion that an ARCH for all currencies'' daily exchange returns can be reached as the LM test statistics are significant which even at the order of six . Finally , we choose the best model of each currency by using Likelihood ratio test and Schwarz information criterion .The conclusion is US dollars-ARCH(4),Japanese yen-ARCH(4),Hong Kong dollars-ARCH(4),Deutche marks-ARCH(4),UK pound sterling- GARCH(1,1),South Korean won-ARCH(5),Swiss francs-ARCH(4)。 In order to investigate whether Day-of-the-Week effect exists , autoregressive conditional heteroskedasticity model is adopted .The empirical findings indicate that daily exchange return of Hong Kong dollars tends to decline on Monday and increase on Friday as weekend effect of US stock market which French found in 1980 . In the meantime , Japanese yen doesn''t have any Day-of-the-Week effect at all while the rest of the currencies have some degree of day-of-the-week effect . Chen,Se-Kung 陳思寬 --- 1998 學位論文 ; thesis 2 zh-TW |
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碩士 === 國立臺灣大學 === 國際企業學系 === 86 === THESIS ABSTRACT
In this paper, we examine the daily behavior of exchange rate
with ARCH model which was developed by Engle in 1982 and GARCH
model which was developed by Bollerslev in 1986. We use daily
exchange returns of US dollars , Japanese yen , Hong Kong
dollars , Deutsche marks , UK pound sterling , South Korean won
, Swiss francs spanning from 1988 to 1996 to discuss : (1) the
stationarity of exchange rate data , (2) the statistical
properties of daily exchange returns of seven foreign
currencies and (3) to test t
Day-of-the-Week effect with ARCH and GARCH model .
As a result of the findings from , the empirical analysis :
First of all , it is a test of stationarity of daily exchange
rate data by using unit root test with DF and PP method , we
can not reject the hypothesis which have unit root situation
initially. Additionally , further analysis reveal that the data
have stationary properties as the first difference .
Secondly , in order to investigate the statistical properties
of daily exchange returns data , the empirical findings suggest
that the data are neither independent nor identically
distributed. Furthermore, there are autocorrelation and
heteroskedasticity with overall data. Thus , the conclusion
that an ARCH for all currencies'' daily exchange returns can be
reached as the LM test statistics are significant which even at
the order of six .
Finally , we choose the best model of each currency by using
Likelihood ratio test and Schwarz information criterion .The
conclusion is US dollars-ARCH(4),Japanese yen-ARCH(4),Hong
Kong dollars-ARCH(4),Deutche marks-ARCH(4),UK pound sterling-
GARCH(1,1),South Korean won-ARCH(5),Swiss francs-ARCH(4)。
In order to investigate whether Day-of-the-Week
effect exists , autoregressive conditional heteroskedasticity
model is adopted .The empirical findings indicate that daily
exchange return of Hong Kong dollars tends to decline on Monday
and increase on Friday as weekend effect of US stock market
which French found in 1980 . In the meantime , Japanese yen
doesn''t have any Day-of-the-Week effect at all while the rest
of the currencies have some degree of day-of-the-week effect .
|
author2 |
Chen,Se-Kung |
author_facet |
Chen,Se-Kung Li, Chian-Jang 李乾彰 |
author |
Li, Chian-Jang 李乾彰 |
spellingShingle |
Li, Chian-Jang 李乾彰 The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model |
author_sort |
Li, Chian-Jang |
title |
The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model |
title_short |
The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model |
title_full |
The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model |
title_fullStr |
The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model |
title_full_unstemmed |
The empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model |
title_sort |
empirical studies : the day-of-the-week effect on foreign exchange market - application of autoregressive conditional heterocedasticity model |
publishDate |
1998 |
url |
http://ndltd.ncl.edu.tw/handle/16022894713199509475 |
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