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  • Search: subject:"nonlinear/non-Gaussian time series"
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Year of publication
Subject
All
Autoregression 3 nonlinear/non-Gaussian time series 3 realized volatility 3 semiparametric model 3 volatility forecast 3
Online availability
All
Free 3
Type of publication
All
Book / Working Paper 3
Language
All
Undetermined 2 English 1
Author
All
Eriksson, Anders 2 Preve, Daniel 2 Yu, Jun 2 ERIKSSON, Anders 1 PREVE, Daniel 1 YU, Jun 1
Institution
All
School of Economics, Singapore Management University 2 East Asian Bureau of Economic Research (EABER) 1
Published in...
All
Working Papers / School of Economics, Singapore Management University 2 Finance Working Papers 1
Source
All
RePEc 3
Showing 1 - 3 of 3
Cover Image
Forecasting Realized Volatility Using A Nonnegative Semiparametric Model
PREVE, Daniel; ERIKSSON, Anders; YU, Jun - School of Economics, Singapore Management University - 2009
This paper introduces a parsimonious and yet flexible nonnegative semiparametric model to forecast financial volatility. The new model extends the linear nonnegative autoregressive model of Barndorff-Nielsen & Shephard (2001) and Nielsen & Shephard (2003) by way of a power transformation. It is...
Persistent link: https://www.econbiz.de/10008521812
Saved in:
Cover Image
Forecasting Realized Volatility Using A Nonnegative Semiparametric Model
Preve, Daniel; Eriksson, Anders; Yu, Jun - East Asian Bureau of Economic Research (EABER) - 2009
This paper introduces a parsimonious and yet flexible nonnegative semiparametric model to forecast financial volatility. The new model extends the linear nonnegative autoregressive model of Barndorff-Nielsen & Shephard (2001) and Nielsen & Shephard (2003) by way of a power transformation. It is...
Persistent link: https://www.econbiz.de/10009363893
Saved in:
Cover Image
FORECASTING REALIZED VOLATILITY USING A NONNEGATIVE SEMIPARAMETRIC MODEL
Preve, Daniel; Eriksson, Anders; Yu, Jun - School of Economics, Singapore Management University
This paper introduces a parsimonious and yet flexible nonnegative semiparametric model to forecast financial volatility. The new model extends the linear nonnegative autoregressive model of Barndorff-Nielsen & Shephard (2001) and Nielsen & Shephard (2003) by way of a power transformation. It is...
Persistent link: https://www.econbiz.de/10010561673
Saved in:
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