Time‐Varying Skewness–Kurtosis Dynamics in Bitcoin Markets

ABSTRACT This paper examines the relationship between skewness and kurtosis in Bitcoin spot and futures markets using high‐frequency data. We document a strong convex skewness–kurtosis relationship consistent with theoretical moment restrictions. Trading activity is positively associated with realized kurtosis, particularly in futures markets, though sensitive to specification and driven by extreme‐return episodes. Allowing the relationship to evolve over time reveals substantial curvature variation, indicating state‐dependent higher‐moment dynamics. The close co‐movement of results across markets suggests patterns reflect broad market‐wide conditions. The empirical framework is reduced‐form and results should be interpreted as conditional associations rather than causal effects.

Authors

Institutions

Publication Details

Journal
Journal of Futures Markets
Published
2026-05-28
DOI
https://doi.org/10.1002/fut.70117
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time‐Varying Skewness–Kurtosis Dynamics in Bitcoin Markets

Antonis Ballis, Ariston Karagiorgis
Journal of Futures Markets
Complex Systems and Time Series Analysis
article

Time‐Varying Skewness–Kurtosis Dynamics in Bitcoin Markets

Antonis Ballis, Ariston Karagiorgis
article en

Abstract

ABSTRACT This paper examines the relationship between skewness and kurtosis in Bitcoin spot and futures markets using high‐frequency data. We document a strong convex skewness–kurtosis relationship consistent with theoretical moment restrictions. Trading activity is positively associated with realized kurtosis, particularly in futures markets, though sensitive to specification and driven by extreme‐return episodes. Allowing the relationship to evolve over time reveals substantial curvature variation, indicating state‐dependent higher‐moment dynamics. The close co‐movement of results across markets suggests patterns reflect broad market‐wide conditions. The empirical framework is reduced‐form and results should be interpreted as conditional associations rather than causal effects.

Journal of Futures Markets
Aston University (GB), Athens University of Economics and Business (GR)
Openalex Percentile: Top 3%
Complex Systems and Time Series Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.