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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Estimating Factor-Based Spot Volatility Matrices with Noisy and Asynchronous High-Frequency Data
噪声 异步高频 数据估算 因子 现货波动率 矩阵
2023/5/4
With noisy and asynchronous high-frequency data collected for an ultra-large number of assets, we estimate high-dimensional spot volatility matrices satisfying a low-rank plus sparse structure. A loca...
Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling
temperate lakes winter diatom blooms winter phytoplankton ecological mode
2021/7/27
In temperate lakes, it is generally assumed that light rather than temperature constrains phytoplankton growth in winter. Rapid winter warming and increasing observations of winter blooms warrant more...
Estimating the Value-at-Risk from High-frequency Data
Data augmentation Gibbs sampler Quadratic variation Time changed Brownian motion
2016/1/27
We present two alternative approaches for estimating VaR. Both approaches are based on the observation that each trading day is very diverse and we can observe K different phases of the trading day. W...
Analyzing the Spectrum of Asset Returns: Jump and Volatility Components in High Frequency Data
Analyzing the Spectrum Asset Returns Jump Volatility Components High Frequency Data
2014/3/13
This paper reports some of the recent developments in the econometric analysis of semimartingales estimated using high frequency financial returns. It describes a simple yet powerful methodology to de...
Study on Stock Index Futures’ Mean Reversion Effect and Arbitrage in China Based on High-Frequency Data
CSI 300 Index Future High-Frequency Data Futures-Spot Arbitrage Mean Reversion Effect Mispricing Ratio
2013/2/23
Based on 1 minute high frequency data, this paper constructs no-arbitrage band for CSI300 index futures, and empirically studies the futures-spot arbitrage. Furthermore, the mean reversion and its tim...
Estimation for Lévy processes from high frequency data within a long time interval
Adaptive nonparametric estimation high frequency data L´ evy processes projection estimators power variation
2011/6/17
In this paper, we study nonparametric estimation of the L´evy
density for L´evy processes, with and without Brownian component.
For this, we consider n discrete time observations with st...
Is Brownian motion necessary to model high-frequency data?
Brownian motion high-frequency data
2010/11/18
This paper considers the problem of testing for the presence of a continuous part in a semimartingale sampled at high frequency. We provide two tests, one where the null hypothesis is that a continuou...
Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection
Minimum variance portfolio portfolio allocation risk assessment
2010/10/20
Portfolio allocation with gross-exposure constraint is an effective method to increase the efficiency and stability of selected portfolios among a vast pool of assets, as demonstrated in Fan et al (20...
Testing for jumps in noisy high frequency data
Semimartingale Testing for jumps High frequency data Market microstructure noise Pre-averaging
2014/3/13
This paper proposes a robustification of the test statistic of Aït-Sahalia and Jacod (2009b) for the presence of market microstructure noise in high frequency data, based on the pre-averaging met...
IS BROWNIAN MOTION NECESSARY TO MODEL HIGH-FREQUENCY DATA?
Semimartingale Brownian motion jumps finite activity infinite activity discrete sampling high frequency
2014/3/13
This paper considers the problem of testing for the presence of a continuous part in a semimartingale sampled at high frequency. We provide two tests, one where the null hypothesis is that a continuou...
Correction to "Leverage and volatility feedback effects in high-frequency data" [J. Financial Econometrics 4 (2006) 353--384]
Leverage volatility feedback effects
2010/10/29
Bollerslev et al. (2006) study the cross-covariances for squared returns under the Heston
(1993) stochastic volatility model. In order to obtain these cross-covariances the authors
use an incorrect ...
ESTIMATING THE DEGREE OF ACTIVITY OF JUMPS IN HIGH FREQUENCY DATA
Jumps index of activity infinite activity discrete sampling high frequency
2014/3/13
We define a generalized index of jump activity, propose estimators of that index for a discretely sampled process and derive the estimators’ properties.These estimators are applicable despite the pres...
A Tale of Two Time Scales: Determining Integrated Volatility With Noisy High-Frequency Data
Bias-correction Market microstructure Martingale Measurement error Realized volatility Subsampling
2014/3/13
It is a common practice in finance to estimate volatility from the sum of frequently sampled squared returns. However, market microstructure poses challenges to this estimation approach, as evidenced ...