Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Shephard, Neil
and
Xiu, Dacheng
2012.
Econometric Analysis of Multivariate Realised QML: Efficient Positive Semi-Definite Estimators of the Covariation of Equity Prices.
SSRN Electronic Journal,
Koike, Yuta
2017.
Time endogeneity and an optimal weight function in pre-averaging covariance estimation.
Statistical Inference for Stochastic Processes,
Vol. 20,
Issue. 1,
p.
15.
Asai, Manabu
and
McAleer, Michael
2017.
The impact of jumps and leverage in forecasting covolatility.
Econometric Reviews,
Vol. 36,
Issue. 6-9,
p.
638.
Asai, Manabu
Chang, Chia-Lin
and
McAleer, Michael
2017.
Realized stochastic volatility with general asymmetry and long memory.
Journal of Econometrics,
Vol. 199,
Issue. 2,
p.
202.
Hounyo, Ulrich
2017.
Bootstrapping integrated covariance matrix estimators in noisy jump–diffusion models with non-synchronous trading.
Journal of Econometrics,
Vol. 197,
Issue. 1,
p.
130.
Hounyo, Ulrich
Gonçalves, Sílvia
and
Meddahi, Nour
2017.
BOOTSTRAPPING PRE-AVERAGED REALIZED VOLATILITY UNDER MARKET MICROSTRUCTURE NOISE.
Econometric Theory,
Vol. 33,
Issue. 4,
p.
791.
Koike, Yuta
2017.
Inference for Time-Varying Lead-Lag Relationships from Ultra High Frequency Data.
SSRN Electronic Journal ,
Shephard, Neil
and
Xiu, Dacheng
2017.
Econometric analysis of multivariate realised QML: Estimation of the covariation of equity prices under asynchronous trading.
Journal of Econometrics,
Vol. 201,
Issue. 1,
p.
19.
Asai, Manabu
Chang, Chia-Lin
and
McAleer, Michael
2017.
Realized Stochastic Volatility with General Asymmetry and Long Memory.
SSRN Electronic Journal ,
Asai, Manabu
and
McAleer, Michael
2018.
Bayesian Analysis of Realized Matrix-Exponential GARCH Models.
SSRN Electronic Journal ,
Jacod, Jean
and
Todorov, Viktor
2018.
Limit theorems for integrated local empirical characteristic exponents from noisy high-frequency data with application to volatility and jump activity estimation.
The Annals of Applied Probability,
Vol. 28,
Issue. 1,
Bibinger, Markus
and
Winkelmann, Lars
2018.
Common price and volatility jumps in noisy high-frequency data.
Electronic Journal of Statistics,
Vol. 12,
Issue. 1,
Asai, Manabu
Gupta, Rangan
and
McAleer, Michael
2019.
The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures.
Energies,
Vol. 12,
Issue. 17,
p.
3379.
Jacod, Jean
2019.
Estimation of volatility in a high-frequency setting: a short review.
Decisions in Economics and Finance,
Vol. 42,
Issue. 2,
p.
351.
Piccotti, Louis R.
2019.
A Multiscale Estimator for Pricing Errors in High-frequency Financial Markets.
SSRN Electronic Journal ,
Brownlees, Christian
Nualart, Eulalia
and
Sun, Yucheng
2020.
On the estimation of integrated volatility in the presence of jumps and microstructure noise.
Econometric Reviews,
Vol. 39,
Issue. 10,
p.
991.
Zhang, Chuanhai
Liu, Zhi
and
Chen, Haiqiang
2020.
On truncated multi-power estimator of integrated volatility with noisy high frequency data.
SSRN Electronic Journal ,
Asai, Manabu
Gupta, Rangan
and
McAleer, Michael
2020.
Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks.
International Journal of Forecasting,
Vol. 36,
Issue. 3,
p.
933.
Andersen, Torben G.
Thyrsgaard, Martin
and
Todorov, Viktor
2021.
Recalcitrant betas: Intraday variation in the cross‐sectional dispersion of systematic risk.
Quantitative Economics,
Vol. 12,
Issue. 2,
p.
647.
Clinet, Simon
and
Potiron, Yoann
2021.
Estimation for high-frequency data under parametric market microstructure noise.
Annals of the Institute of Statistical Mathematics,
Vol. 73,
Issue. 4,
p.
649.