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Predictive inference for integrated volatility
Corradi, Valentina (contributor);  … - 2006
In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric kernel estimators of the aforementioned...
Persistent link: https://www.econbiz.de/10003698497
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Statistical inference in multifractal random walk models for financial time series
Sattarhoff, Cristina - 2011
Persistent link: https://www.econbiz.de/10008990625
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Bootstrap inference for pre-averaged realized volatility based on non-overlapping returns
Gonc̜alves, Sílva; Hounyo, Ulrich; Meddahi, Nour - 2013
Persistent link: https://www.econbiz.de/10009719165
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Stochastic Seasonality, Contemporaneous Inference, and Forecasting in the Presence of Volatile Weather
Nickelsburg, Jerry - 2017
Contemporaneous inference from economic data releases for policy and business decisions has become increasingly relevant in the high pace of the information age. The released data are typically filtered to eliminate seasonal patterns to reveal underlying trends and cycles. The nature of economic...
Persistent link: https://www.econbiz.de/10012972987
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Fixed-k inference for volatility
Bollerslev, Tim; Li, Jia; Liao, Zhipeng - In: Quantitative economics : QE ; journal of the … 12 (2021) 4, pp. 1053-1084
We present a new theory for the conduct of nonparametric inference about the latent spot volatility of a semimartingale … in local estimation blocks, our theory treats the estimation block size k as fixed. While the resulting spot volatility … estimator is no longer consistent, the new theory permits the construction of asymptotically valid and easy …
Persistent link: https://www.econbiz.de/10012795628
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Predictive inference for integrated volatility
Corradi, Valentina; Distaso, Walter; Swanson, Norman R. - 2011
In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric estimators of the aforementioned quantities,...
Persistent link: https://www.econbiz.de/10009130718
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Predictive inference for integrated volatility
Corradi, Valentina; Distaso, Walter; Swanson, Norman R. - 2011
In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric kernel estimators of the aforementioned...
Persistent link: https://www.econbiz.de/10009130720
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Sparse change-point HAR Models for Realized Variance
Dufays, Arnaud; Rombouts, Jeroen V. K. - In: Econometric reviews 38 (2019) 8, pp. 857-880
Persistent link: https://www.econbiz.de/10012181370
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Uniform inference for conditional factor models with instrumental and idiosyncratic betas
Liao, Yuan; Yang, Xiye - 2017
It has been well known in financial economics that factor betas depend on observed instruments such as firm specific characteristics and macroeconomic variables, and a key object of interest is the effect of instruments on the factor betas. One of the key features of our model is that we specify...
Persistent link: https://www.econbiz.de/10011771555
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Intraday cross-sectional distributions of systematic risk
Andersen, Torben; Riva, Raul; Thyrsgaard, Martin; … - In: Journal of econometrics 235 (2023) 2, pp. 1394-1418
Persistent link: https://www.econbiz.de/10014471397