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Spot variance path estimation and its application to high frequency jump testing

Bos, Charles S.; Janus, Paweł; Koopman, Siem Jan - 2009

This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the … microstructure noise has an adverse effect on both spot variance estimation and jump detection. In our approach we can analyze high …

Persistent link: https://www.econbiz.de/10011379469

Non-parametric estimation of copula parameters : testing for time-varying correlation

Gong, Jinguo; Wu, Weiou; McMillan, David G.; Shi, Daimin - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 19 (2015) 1, pp. 93-106

Persistent link: https://www.econbiz.de/10011311193

Common price and volatility jumps in noisy high-frequency data

Bibinger, Markus; Winkelmann, Lars - 2014

We introduce a statistical test for simultaneous jumps in the price of a financial asset and its volatility process. The proposed test is based on high-frequency tick-data and is robust to market microstructure frictions. To localize volatility jumps, we design and analyze a nonparametric...

Persistent link: https://www.econbiz.de/10010384595

On the correlation structure of microstructure noise : a financial economic approach

Diebold, Francis X.; Strasser, Georg - In: The review of economic studies 80 (2013) 4, pp. 1304-1337

Persistent link: https://www.econbiz.de/10010202113

Nonparametric estimation and inference for conditional density based Granger causality measures

Taamouti, Abderrahim; Bouezmarni, Taoufik; El Ghouch, Anouar - In: Journal of econometrics 180 (2014) 2, pp. 251-264

Persistent link: https://www.econbiz.de/10010433362

Jump variation estimation with noisy high frequency financial data via wavelets

Zhang, Xin; Kim, Donggyu; Wang, Yazhen - In: Econometrics : open access journal 4 (2016) 3, pp. 1-26

This paper develops a method to improve the estimation of jump variation using high frequency data with the existence … of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component …-step procedure with detection and estimation. In Step 1, we detect the jump locations by performing wavelet transformation on the …

Persistent link: https://www.econbiz.de/10011568279

Semiparametric estimation of risk-return relationships

Escanciano, Juan Carlos; Pardo-Fernández, Juan Carlos; … - In: Journal of business & economic statistics : JBES ; a … 35 (2017) 1, pp. 40-52

Persistent link: https://www.econbiz.de/10011704099

Adaptive estimation of continuous-time regression models using high-frequency data

Li, Jia; Todorov, Viktor; Tauchen, George Eugene - In: Journal of econometrics 200 (2017) 1, pp. 36-47

Persistent link: https://www.econbiz.de/10011897689

Nonparametric Estimation and Testing for Instability of Discount Rate and Cash Flow Channels of Stock Returns

Yu, Deshui; Xu, Xiu; Chen, Li; Li, Luyang - 2023

According to the log-linear return approximation, the ability of a predictor to predict future stock returns may arise from its ability to predict either the cash flows or the discount rates, or both. This paper introduces novel nonparametric approaches for estimating and testing the time...

Persistent link: https://www.econbiz.de/10014351244

Inference for nonparametric high-frequency estimators with an application to time variation in betas

Kalnina, Ilze - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 2, pp. 538-549

Persistent link: https://www.econbiz.de/10014448338