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//! # Realized Volatility & Microstructure-Noise Estimators
//!
//! High-frequency, model-free variance, jump and tail estimators built from
//! intraday log-returns plus the heterogeneous-autoregressive realized-volatility
//! forecasting model (HAR-RV).
//!
//! $$
//! RV_t=\sum_{i=1}^{n} r_{t,i}^2,\qquad
//! BV_t=\frac{\pi}{2}\sum_{i=2}^{n} |r_{t,i-1}|\,|r_{t,i}|,\qquad
//! K(X)=\gamma_0(X)+\sum_{h=1}^{H} k\!\left(\tfrac{h-1}{H}\right)\bigl(\gamma_h(X)+\gamma_{-h}(X)\bigr).
//! $$
//!
//! # References
//! - Andersen, Bollerslev, "Answering the Skeptics: Yes, Standard Volatility
//! Models Do Provide Accurate Forecasts", International Economic Review,
//! 39(4), 885-905 (1998). DOI: 10.2307/2527343
//! - Barndorff-Nielsen, Shephard, "Power and Bipower Variation with Stochastic
//! Volatility and Jumps", Journal of Financial Econometrics, 2(1), 1-37 (2004).
//! DOI: 10.1093/jjfinec/nbh001
//! - Barndorff-Nielsen, Hansen, Lunde, Shephard, "Designing Realised Kernels to
//! Measure the Ex-Post Variation of Equity Prices in the Presence of Noise",
//! Econometrica, 76(6), 1481-1536 (2008). DOI: 10.3982/ECTA6495
//! - Zhang, Mykland, Aït-Sahalia, "A Tale of Two Time Scales: Determining
//! Integrated Volatility With Noisy High-Frequency Data", Journal of the
//! American Statistical Association, 100(472), 1394-1411 (2005).
//! DOI: 10.1198/016214505000000169
//! - Jacod, Li, Mykland, Podolskij, Vetter, "Microstructure Noise in the
//! Continuous Case: The Pre-Averaging Approach", Stochastic Processes and
//! their Applications, 119(7), 2249-2276 (2009).
//! DOI: 10.1016/j.spa.2008.11.004
//! - Corsi, "A Simple Approximate Long-Memory Model of Realized Volatility",
//! Journal of Financial Econometrics, 7(2), 174-196 (2009).
//! DOI: 10.1093/jjfinec/nbp001
//! - Barndorff-Nielsen, Kinnebrock, Shephard, "Measuring Downside Risk —
//! Realised Semivariance", in *Volatility and Time Series Econometrics:
//! Essays in Honour of Robert F. Engle*, Oxford U. Press (2010).
//! DOI: 10.1093/acprof:oso/9780199549498.003.0007
pub use BnsJumpTest;
pub use bipower_variation;
pub use bns_jump_test;
pub use medrv;
pub use minrv;
pub use tripower_quarticity;
pub use HarFit;
pub use HarRv;
pub use har_features;
pub use KernelType;
pub use realized_kernel;
pub use pre_averaged_variance;
pub use multi_scale_rv;
pub use two_scale_rv;
pub use log_returns;
pub use realized_kurtosis;
pub use realized_quarticity;
pub use realized_semivariance;
pub use realized_skewness;
pub use realized_variance;
pub use realized_volatility;