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  • Search: subject:"Separating Information Maximum Likelihood estimation"
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High-frequency data 1 Micro-market noise 1 Nikkei-225 Futures 1 Realized volatility 1 Separating Information Maximum Likelihood estimation 1
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Kunitomo, Naoto 1 Sato, Seisho 1
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Mathematics and Computers in Simulation (MATCOM) 1
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The SIML estimation of realized volatility of the Nikkei-225 Futures and hedging coefficient with micro-market noise
Kunitomo, Naoto; Sato, Seisho - In: Mathematics and Computers in Simulation (MATCOM) 81 (2011) 7, pp. 1272-1289
For the estimation problem of the realized volatility and hedging coefficient by using high-frequency data with possibly micro-market noise, we use the Separating Information Maximum Likelihood (SIML) method, which was recently developed by Kunitomo and Sato [11–13]. By analyzing the...
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