Paper: arXiv 2602.19732

Authors: Fabrizio Cipollini, Giulia Cruciani, Giampiero M. Gallo, Alessandra Insana, Edoardo Otranto, Fabio Spagnolo

Abstract

VOLARE (VOLatility Archive for Realized Estimates - https://volare.unime.it) is an open research infrastructure providing standardized realized volatility and covariance measures constructed from ultra-high-frequency financial data. The platform processes tick-level observations across equities, exchange rates, and futures using an asset-specific pipeline that addresses heterogeneous trading calendars, microstructure noise, and timestamp precision. For equities, price series are cleaned using a documented outlier detection procedure and sampled at regular intervals. VOLARE delivers a comprehensive set of realized estimators, including realized variance, range-based measures, bipower variation, semivariances, realized quarticity, realized kernels, and multivariate covariance measures, ensuring methodological consistency and cross-asset comparability. In addition to bulk dataset download, the platform supports interactive visualization and real-time estimation of established volatility models such as HAR and MEM specifications.

Complexity vs Empirical Score

  • Math Complexity: 6.5/10
  • Empirical Rigor: 8.5/10
  • Quadrant: Holy Grail — high math complexity, high empirical rigor

Why this score: This paper presents VOLARE, an open-access research infrastructure for high-frequency volatility estimation that effectively fills the void left by the Oxford-Man Institute Realized Library. It features exceptional empirical rigor and high reproducibility, thoroughly documenting data cleaning pipelines, microstructure noise handling, and time-series model forecasting (HAR, MEM).

Research Flowchart

  flowchart TD
    A[Goal: Standardized Realized Volatility <br>& Covariance Measures from Ultra-HFT Data] --> B[Data Inputs: Ultra-High-Frequency Ticks <br>Equities, FX, Futures]
    B --> C[Data Processing: Outlier Filtering, <br>Calendar Harmonization, Sampling]
    C --> D[Estimator Calculation: RV, Kernels, <br>Bipower Variation, Covariances]
    D --> E[Outcome: VOLARE Infrastructure <br>Bulk Downloads & Interactive Visualization]
    D --> F[Outcome: Real-Time Model Estimation <br>HAR & MEM Specifications]

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