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20152020
most citedConfidence intervals for parameters in high-dimensional sparse vector autoregression

2 citations · 5 across the 6 of their papers we have counts for

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5 papers · 1 filter

econ.EM2024

Estimation for conditional moment models based on martingale difference divergence

Kunyang Song, Feiyu Jiang, Ke Zhu

We provide a new estimation method for conditional moment models via the martingale difference divergence (MDD).Our MDD-based estimation method is formed in the framework of a cont…

econ.EM20201 cited

Testing error distribution by kernelized Stein discrepancy in multivariate time series models

Donghang Luo, Ke Zhu, Huan Gong +1

Knowing the error distribution is important in many multivariate time series applications. To alleviate the risk of error distribution mis-specification, testing methodologies are…

econ.EM2020

Multi-frequency-band tests for white noise under heteroskedasticity

Mengya Liu, Fukan Zhu, Ke Zhu

This paper proposes a new family of multi-frequency-band (MFB) tests for the white noise hypothesis by using the maximum overlap discrete wavelet packet transform (MODWPT). The MOD…

econ.EM20191 cited

Hybrid quantile estimation for asymmetric power GARCH models

Guochang Wang, Ke Zhu, Guodong Li +1

Asymmetric power GARCH models have been widely used to study the higher order moments of financial returns, while their quantile estimation has been rarely investigated. This paper…

econ.EM2019

Non-standard inference for augmented double autoregressive models with null volatility coefficients

Feiyu Jiang, Dong Li, Ke Zhu

This paper considers an augmented double autoregressive (DAR) model, which allows null volatility coefficients to circumvent the over-parameterization problem in the DAR model. Sin…