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Comparison of the Korean and US stock markets using continuous-time stochastic volatility models
Choi, Seungmoon - In: Han gug gae bal yeon gu 40 (2018) 4, pp. 1-22
Persistent link: https://www.econbiz.de/10011954453
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Fractional cointegration rank estimation
Lasak, Katarzyna; Velasco, Carlos - 2014
We consider cointegration rank estimation for a p-dimensional Fractional Vector Error Correction Model. We propose a new two-step procedure which allows testing for further long-run equilibrium relations with possibly different persistence levels. The first step consists in estimating the...
Persistent link: https://www.econbiz.de/10010244531
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Properties of the maximum likelihood estimator in spatial autoregressive models
Hillier, Grant H.; Martellosio, Federico - 2013
The (quasi-) maximum likelihood estimator (MLE) for the autoregressive parameter in a spatial autoregressive model cannot in general be written explicitly in terms of the data. The only known properties of the estimator have hitherto been its first-order asymptotic properties (Lee, 2004,...
Persistent link: https://www.econbiz.de/10010126876
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Maximum likelihood estimation of stochastic volatility models
Sandmann, Gleb; Koopman, Siem Jan - 1996
Persistent link: https://www.econbiz.de/10000953379
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Quasi-maximum likelihood estimation of volatility with high frequency data
Xiu, Dacheng - In: Journal of econometrics 159 (2010) 1, pp. 235-250
Persistent link: https://www.econbiz.de/10008839925
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How frequently does the stock price jump? : An analysis of high-frequency data with microstructure noises
Duan, Jin-Chuan (contributor); Fulop, Andras (contributor) - 2007
Persistent link: https://www.econbiz.de/10003494018
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A note on "continuous invertibility and stable QML estimation of the EGARCH(1,1) model"
Blasques, Francisco; Gorgi, Paolo; Koopman, Siem Jan; … - 2015
We revisit Wintenberger (2013) on the continuous invertibility of the EGARCH(1,1) model. We note that the definition of continuous invertibility adopted in Wintenberger (2013) may not always be sufficient to deliver strong consistency of the QMLE. We also take the opportunity to provide other...
Persistent link: https://www.econbiz.de/10011401308
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Maximum Likelihood Estimation of Stochastic Volatility Models
Ait-Sahalia, Yacine - 2009
We develop and implement a new method for maximum likelihood estimation in closed-form of stochastic volatility models … unobservable volatility state, to an approximate likelihood procedure where the volatility state is replaced by the implied … volatility of a short dated at-the-money option. We find that the approximation results in a negligible loss of accuracy. We …
Persistent link: https://www.econbiz.de/10012767654
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Volatility analysis with realized GARCH-Itô models
Song, Xinyu; Kim, Donggyu; Yuan, Huiling; Cui, Xiangyu; … - In: Journal of econometrics 222 (2021) 1,2, pp. 393-410
Persistent link: https://www.econbiz.de/10012619433
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GARCH models without positivity constraints : exponential or log GARCH?
Francq, Christian; Wintenberger, Olivier; Zakoïan, … - In: Journal of econometrics 177 (2013) 1, pp. 34-46
Persistent link: https://www.econbiz.de/10010189881