Robust Estimation and Inference for Jumps in Noisy High Frequency Data: A Local‐to‐Continuity Theory for the Pre‐Averaging Method
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DOI: ECTA10534
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Cited by:
- Hansen, Peter Reinhard, 2015.
"A martingale decomposition of discrete Markov chains,"
Economics Letters, Elsevier, vol. 133(C), pages 14-18.
- Peter Reinhard Hansen, 2015. "A Martingale Decomposition of Discrete Markov Chains," CREATES Research Papers 2015-18, Department of Economics and Business Economics, Aarhus University.
- Christoffersen, Peter & Feunou, Bruno & Jeon, Yoontae, 2015.
"Option valuation with observable volatility and jump dynamics,"
Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 101-120.
- Peter Christoffersen & Bruno Feunou & Yoontae Jeon, 2014. "Option Valuation with Observable Volatility and Jump Dynamics," CREATES Research Papers 2015-07, Department of Economics and Business Economics, Aarhus University.
- Peter Christoffersen & Bruno Feunou & Yoontae Jeon, 2015. "Option Valuation with Observable Volatility and Jump Dynamics," Staff Working Papers 15-39, Bank of Canada.
- Z. Merrick Li & Oliver Linton, 2022.
"A ReMeDI for Microstructure Noise,"
Econometrica, Econometric Society, vol. 90(1), pages 367-389, January.
- Merrick Li, Z. & Linton, O., 2019. "A ReMeDI for Microstructure Noise," Cambridge Working Papers in Economics 1908, Faculty of Economics, University of Cambridge.
- Ding, Yi & Li, Yingying & Liu, Guoli & Zheng, Xinghua, 2024. "Stock co-jump networks," Journal of Econometrics, Elsevier, vol. 239(2).
- Bibinger, Markus & Winkelmann, Lars, 2015. "Econometrics of co-jumps in high-frequency data with noise," Journal of Econometrics, Elsevier, vol. 184(2), pages 361-378.
- Zhang, Congshan & Li, Jia & Bollerslev, Tim, 2022. "Occupation density estimation for noisy high-frequency data," Journal of Econometrics, Elsevier, vol. 227(1), pages 189-211.
- Duong, Diep & Swanson, Norman R., 2015.
"Empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction,"
Journal of Econometrics, Elsevier, vol. 187(2), pages 606-621.
- Diep Duong & Norman Swanson, 2013. "Empirical Evidence on the Importance of Aggregation, Asymmetry, and Jumps for Volatility Prediction," Departmental Working Papers 201321, Rutgers University, Department of Economics.
- repec:hum:wpaper:sfb649dp2014-037 is not listed on IDEAS
- Bibinger, Markus & Winkelmann, Lars, 2014. "Common price and volatility jumps in noisy high-frequency data," SFB 649 Discussion Papers 2014-037, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Harin, Alexander, 2014. "Problems of utility and prospect theories. A discontinuity of Prelec’s function," MPRA Paper 61027, University Library of Munich, Germany.
- Jui-Chung Yang & Ke-Li Xu, 2013. "Estimation and Inference under Weak Identi cation and Persistence: An Application on Forecast-Based Monetary Policy Reaction Function," 2013 Papers pya307, Job Market Papers.
- Li, M. Z. & Linton, O., 2021. "Robust Estimation of Integrated and Spot Volatility," Cambridge Working Papers in Economics 2115, Faculty of Economics, University of Cambridge.
- Liu, Zhi & Kong, Xin-Bing & Jing, Bing-Yi, 2018. "Estimating the integrated volatility using high-frequency data with zero durations," Journal of Econometrics, Elsevier, vol. 204(1), pages 18-32.
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