شماره ركورد كنفرانس :
3503
عنوان مقاله :
Comparison of forecasting performance of long memory GARCH models and Markov switching GARCH models
Author/Authors :
E. Amiri Imam Khomeini International University
كليدواژه :
Long memory , MS-GARCH , Markov switching , GARCH , FIEGARCH
سال انتشار :
شهريور 1395
عنوان كنفرانس :
چهل و هفتمين كنفرانس رياضي ايران
زبان مدرك :
انگليسي
چكيده لاتين :
It is well known that structural change or stochastic regime switching and long memory are intimately related concepts . In an emprical study the forecasting performance of the long memory GARCH models and Markov switching GARCH model are compared using Tehran stock market returns. The results indicate that in out of sample performance, long memory exponential GARCH (FIEGARCH) model outperforms the competing models.
كشور :
ايران
تعداد صفحه 2 :
5
از صفحه :
1
تا صفحه :
5
لينک به اين مدرک :
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