TIME-SERIES MOMENTUM IN CRYPTOCURRENCY MARKETS: A PRE AND POST SPOT BITCOIN ETF ANALYSIS

This paper investigates the effectiveness of Time-Series Momentum (TSMOM) as a quantitative trading strategy in cryptocurrency markets, focusing on the structural shift introduced by the first spot Bitcoin ETF launch on January 11, 2024. Using daily price data from January 2018 to March 2026 across six assets: BTC-USD, ETH-USD, IBIT, FBTC, GLD, and SPY, we implement a volatility-scaled TSMOM strategy with monthly rebalancing consistent with Moskowitz, Ooi, and Pedersen (2012). The TSMOM portfolio generated annualized returns of 18.03% pre-ETF and 28.58% post-ETF, with Sharpe ratio improving from 0.82 to 1.22. A two-sample t-test yields p = 0.5835, indicating no statistically significant difference at the 5% level. Back testing shows TSMOM underperformed Buy-and-Hold by 7.67% in the pre-ETF bull market but outperformed by 20.95% post-ETF. These findings suggest TSMOM adds most value in uncertain, regime-switching conditions following institutional entry through spot ETFs.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-21
DOI
https://doi.org/10.5281/zenodo.19671502
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TIME-SERIES MOMENTUM IN CRYPTOCURRENCY MARKETS: A PRE AND POST SPOT BITCOIN ETF ANALYSIS

Dr. B. Monica Jenefer M Pranav Kumar
Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
article

TIME-SERIES MOMENTUM IN CRYPTOCURRENCY MARKETS: A PRE AND POST SPOT BITCOIN ETF ANALYSIS

Dr. B. Monica Jenefer M Pranav Kumar
article en

Abstract

This paper investigates the effectiveness of Time-Series Momentum (TSMOM) as a quantitative trading strategy in cryptocurrency markets, focusing on the structural shift introduced by the first spot Bitcoin ETF launch on January 11, 2024. Using daily price data from January 2018 to March 2026 across six assets: BTC-USD, ETH-USD, IBIT, FBTC, GLD, and SPY, we implement a volatility-scaled TSMOM strategy with monthly rebalancing consistent with Moskowitz, Ooi, and Pedersen (2012). The TSMOM portfolio generated annualized returns of 18.03% pre-ETF and 28.58% post-ETF, with Sharpe ratio improving from 0.82 to 1.22. A two-sample t-test yields p = 0.5835, indicating no statistically significant difference at the 5% level. Back testing shows TSMOM underperformed Buy-and-Hold by 7.67% in the pre-ETF bull market but outperformed by 20.95% post-ETF. These findings suggest TSMOM adds most value in uncertain, regime-switching conditions following institutional entry through spot ETFs.

Zenodo (CERN European Organization for Nuclear Research)
Partnerships for the goals
Openalex Percentile: Top 4%
Blockchain Technology Applications and Security
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.