Asymptotic inference about predictive accuracy using high frequency data
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Summary
This paper provides primitive conditions under which a "negligibility" result holds, and thus the asymptotic size of standard predictive accuracy tests, implemented using a high-frequency proxy for the latent variable, is controlled.
- Type
- article
- Published
- 2018-04-01
- Cited by
- 30
- References
- 97
- Access
- Open access
- OpenAlex
- https://openalex.org/W126345501
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1209143
Keywords
Inference, Predictive inference, Computer science, Econometrics, Statistics
References
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- Discretization of Processes
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- Asymptotic Inference about Predictive Ability
- Detecting and Predicting Forecast Breakdowns
- Empirical Dynamic Asset Pricing: Model Specification and Econometric Assessment
- Analyzing the Spectrum of Asset Returns: Jump and Volatility Components in High Frequency Data
- Estimation of continuous-time stochastic volatility models with jumps using high-frequency data
- In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?
- Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
- Stochastic integration and differential equations
- Microstructure Noise, Realized Variance, and Optimal Sampling
- Outline of forecast theory using generalized cost functions
- Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold–Mariano Tests
- Efficient Estimation of Stochastic Volatility Using Noisy Observations: A Multi-Scale Approach
- Long memory in continuous‐time stochastic volatility models
Cited by
- Fixed-b Inference in the Presence of Time-Varying Volatility
- Cross-sectional dependence in idiosyncratic volatility
- Comparing predictive accuracy under long memory: With an application to volatility forecasting
- Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics
- Tests for Forecast Instability and Forecast Failure under a Continuous Record Asymptotic Framework
- Inference from the futures: ranking the noise cancelling accuracy of realized measures
- Tests of Conditional Predictive Ability: Some Simulation Evidence
- Testing for Jump Spillovers Without Testing for Jumps
- A Real-time Density Forecast Evaluation of the ECB Survey of Professional Forecasters
- Tests of Conditional Predictive Ability: Existence, Size, and Power
- On Testing Equal Conditional Predictive Ability Under Measurement Error
- Using proxies to improve forecast evaluation
- Use of high‐frequency data to evaluate the performance of dynamic hedging strategies
- Realized Quantiles*
- Forecast Evaluation in Large Cross-Sections of Realized Volatility
- Comment
- Improving hedging performance by using high–low range
- The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic
- Weak Identification of Long Memory with Implications for Inference
- Integrated variance estimation for assets traded in multiple venues