منابع مشابه
Doubly Stochastic Models with Threshold Garch Innovations
Recently, there has been a growing interest in the methods addressing volatility in computational finance and econometrics. Peiris et al. [8] have introduced doubly stochastic volatility models with GARCH innovations. Random coefficient autoregressive sequences are special case of doubly stochastic time series. In this paper, we consider some doubly stochastic stationary time series with GARCH ...
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مدلهای گارچ در فضاهای هیلبرت پایان نامه حاضر شامل دو بخش می باشد. در قسمت اول مدلهای اتورگرسیو تعمیم یافته مشروط به ناهمگنی واریانس در فضاهای هیلبرت را معرفی، مفاهیم ریاضی مورد نیاز در تحلیل این مدلها در دامنه زمان را مطرح کرده و آنها را مورد بررسی قرار می دهیم. بر اساس پیشرفتهایی که اخیرا در زمینه تئوری داده های تابعی و آماره های عملگری ایجاد شده است، فرآیندهایی که دارای مقادیر در فضاهای ...
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A stochastic volatility model consists of a pair of stochastic processes {Xt, Yt}, of which only Yt is observed, but where the conditional distribution of Yt|Xt = xt has a scale that depends on xt. The unobserved Xt is interpreted as a state variable that affects the processes that result in the observed Yt. The conditional heteroscedasticity (CH) approach to modeling volatility is based on the...
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This paper proposes a new kind of asymmetric GARCH where the conditional variance obeys two diierent regimes with a smooth transition function. In one formulation, the conditional variance reacts diierently to negative and positive shocks while in a second formulation, small and big shocks have separate eeects. The introduction of a threshold allows for a mixed eeect. A Bayesian strategy, based...
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ژورنال
عنوان ژورنال: International Journal of Economics and Finance
سال: 2012
ISSN: 1916-9728,1916-971X
DOI: 10.5539/ijef.v5n1p166