Inference from the futures: ranking the noise cancelling accuracy of realized measures
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Summary
The concept of noise cancelling is introduced and a generally applicable methodology to assess the performance of realized measures when the variable of interest is latent is proposed, overcoming the problem posed by the lack of a true value for the integrated variance.
- Type
- article
- Published
- 2017-09-30
- Cited by
- 4
- References
- 59
- Access
- Open access
- OpenAlex
- https://openalex.org/W2901985240
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:158544800
Keywords
Futures contract, Estimator, Econometrics, Martingale (probability theory), Realized variance
References
- Asymptotic inference about predictive accuracy using high frequency data
- Arbitrage Theory in Continuous Time
- Fixed Income Modelling
- Realised quantile-based estimation of the integrated variance
- Variation, jumps, market frictions and high frequency data in financial econometrics
- A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges
- Realized kernels in practice: trades and quotes
- Stock Volatility and the Levels of the Basis and Open Interest in Futures Contracts
- Properties of Realized Variance Under Alternative Sampling Schemes
- Stochastic integration and differential equations
- Bipower-type estimation in a noisy diffusion setting
- Microstructure Noise, Realized Variance, and Optimal Sampling
- Microstructure Noise in the Continuous Case: The Pre-Averaging Approach ∗
- Efficient Estimation of Stochastic Volatility Using Noisy Observations: A Multi-Scale Approach
- Intraday LeBaron effects
- Consistent Ranking of Volatility Models
- Some Reflections on Analysis of High-Frequency Data
- The Distribution of Realized Exchange Rate Volatility
- The pricing of stock index futures
- Optimal combinations of realised volatility estimators
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