Do high-frequency data improve high-dimensional portfolio allocations?
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- Nikolaus Hautsch & Lada M. Kyj & Peter Malec, 2015. "Do High‐Frequency Data Improve High‐Dimensional Portfolio Allocations?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 263-290, March.
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More about this item
Keywords
portfolio optimization; spectral decomposition; regularization; blocked realized kernel; covariance prediction;All these keywords.
JEL classification:
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2013-03-16 (Forecasting)
- NEP-MST-2013-03-16 (Market Microstructure)
- NEP-ORE-2013-03-16 (Operations Research)
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