Volatility Forecast Errors and Portfolio Exposure

A volatility forecast can score worse and still improve a portfolio backtest by shifting capital across assets. I examine this mechanism over 180 months for five asset-class ETFs. In the strongest historical contrast, understating equity risk relative to bond risk reduces the minimum-variance portfolio's average bond weight by 43.92 percentage points. The average shift in holdings accounts for 4.74 of the 5.01 percentage points of annualized gross return difference. In a chronological test, the equity–bond adjustment selected in the first half raises net annualized certainty equivalent by 4.96 percentage points in the second half. A group-level allocation overlay using only past weights gains 5.40 points with roughly half the turnover. Freezing the overlay before the test period retains 87% of the observed gain. Across three allocation rules, the historical improvement can be captured by shifting capital across asset groups.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24018604
Primary Topic
Financial Risk and Volatility Modeling
Type
preprint
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preprint

Volatility Forecast Errors and Portfolio Exposure

Fuli Yang
1 links
Zenodo (CERN European Organization for Nuclear Research)
Financial Risk and Volatility Modeling
preprint

Volatility Forecast Errors and Portfolio Exposure

Fuli Yang
preprint en

Abstract

A volatility forecast can score worse and still improve a portfolio backtest by shifting capital across assets. I examine this mechanism over 180 months for five asset-class ETFs. In the strongest historical contrast, understating equity risk relative to bond risk reduces the minimum-variance portfolio's average bond weight by 43.92 percentage points. The average shift in holdings accounts for 4.74 of the 5.01 percentage points of annualized gross return difference. In a chronological test, the equity–bond adjustment selected in the first half raises net annualized certainty equivalent by 4.96 percentage points in the second half. A group-level allocation overlay using only past weights gains 5.40 points with roughly half the turnover. Freezing the overlay before the test period retains 87% of the observed gain. Across three allocation rules, the historical improvement can be captured by shifting capital across asset groups.

Zenodo (CERN European Organization for Nuclear Research)
Financial Risk and Volatility Modeling
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