On asset-allocation and high-frequency data: are there financial gains from using different covariance estimators?
From MaRDI portal
Publication:5086397
DOI10.1080/03610918.2019.1643882OpenAlexW2892637801MaRDI QIDQ5086397
Erindi Allaj, Maria Elvira Mancino
Publication date: 5 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2019.1643882
high-frequency datafinancial performance measuresasset-allocationnon-parametric covariance estimators
Cites Work
- Unnamed Item
- Estimating covariation: Epps effect, microstructure noise
- Covariance measurement in the presence of non-synchronous trading and market microstructure noise
- Volatility forecasting and microstructure noise
- Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
- Robustness of Fourier estimator of integrated volatility in the presence of microstructure noise
- Computing efficient frontiers using estimated parameters
- Statistical methods in finance
- Estimating the integrated volatility using high-frequency data with zero durations
- On covariance estimation of non-synchronously observed diffusion processes
- Fourier series method for measurement of multivariate volatilities
- A Fourier transform method for nonparametric estimation of multivariate volatility
- Model-free approaches to discern non-stationary microstructure noise and time-varying liquidity in high-frequency data
- Fourier volatility forecasting with high-frequency data and microstructure noise
- Fourier-Malliavin Volatility Estimation
- Optimization Methods in Finance
- Using High-Frequency Data in Dynamic Portfolio Choice
- Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use?
- Realized kernels in practice: trades and quotes
- OPTIMAL INVESTMENT STRATEGIES FOR CONTROLLING DRAWDOWNS
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- On the maximum drawdown of a Brownian motion
- Theory of Financial Risk and Derivative Pricing
- Modeling and Forecasting Realized Volatility
- Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics
- A Tale of Two Time Scales
- Estimating the quadratic covariation matrix for asynchronously observed high frequency stock returns corrupted by additive measurement error
This page was built for publication: On asset-allocation and high-frequency data: are there financial gains from using different covariance estimators?