OpenFacet

Real DCX: Adjusting for USD Distortion in Diamond Price Indices

May 25, 2025

We introduce the Real DCX — a macro-adjusted variant of the DCX Composite Index that corrects for USD strength and purchasing power drift. This refinement enables more accurate interpretation of diamond market dynamics, especially in FX-sensitive environments.

The DCX Composite Index tracks retail-level USD pricing for natural GIA-certified diamonds. While nominal pricing reflects live offer-side quotes, it remains influenced by movements in the dollar itself. Fluctuations in USD strength and long-term erosion in purchasing power can obscure whether price changes in nominal benchmarks, which academic research has critiqued for lacking mechanisms to analyze external market trends, are driven by underlying diamond market dynamics or by currency effects.

To address this, we introduce the Real DCX, a macro-adjusted transformation of the nominal index. It corrects for two primary monetary distortions: the USD’s exchange rate strength against other fiat currencies, and its real value drift as measured against store-of-value benchmarks. This adjustment supports cleaner interpretation of price trends across time, jurisdictions, and macro regimes.

The adjustment applies a weighted normalization using the USD Index (DXY) and gold (XAU):

$$ \text{Real DCX}_t = \frac{\text{DCX}_t}{\text{DXY}_t^{0.6} \cdot \text{XAU}_t^{0.4}} $$

DXY captures the dollar’s relative strength across major currencies, reflecting how global liquidity conditions affect cross-border diamond demand. Gold, while not directly correlated to diamond pricing, serves as a proxy for the dollar’s long-term real purchasing power. The 60/40 weighting reflects observed behavior: diamond prices respond more to FX-driven shifts in USD liquidity and demand than to inflation-hedging flows. Unlike gold, diamonds are not held as monetary reserves, but their pricing remains sensitive to dollar cycles in retail-driven international markets.

The first chart below shows the nominal DCX index, overlaid with two synthetic reference lines: one scaled to the USD Index (DXY) and one to Gold (XAU). These anchors simulate how the DCX would evolve if driven only by movements in DXY or gold, respectively. Each is normalized to match the DCX level at the start of the time series. The synthetic anchors are computed as:

$$ \text{Anchor}_{\text{DXY},t} = \text{DCX}_0 \cdot \frac{\text{DXY}_t}{\text{DXY}_0} $$

$$ \text{Anchor}_{\text{XAU},t} = \text{DCX}_0 \cdot \frac{\text{XAU}_t}{\text{XAU}_0} $$

This scaling ensures that all series — DCX, DXY anchor, and XAU anchor — start from a common baseline and remain directly comparable over time. These lines are included for interpretive context only. They help identify how much of the nominal DCX movement aligns with macro drivers, and where diamond-specific pricing diverges from broader monetary trends.

Nominal DCX with Gold and DXY Anchors

By applying this adjustment, the Real DCX expresses prices in constant-value USD terms. This allows for long-term comparisons unaffected by fiat distortion and enhances analytical clarity when interpreting performance across macro cycles. While the nominal DCX remains the pricing benchmark for synthetic instruments and settlement systems, the Real DCX provides a complementary macro-adjusted signal for analysis and reporting.

The second chart below plots both the nominal and Real DCX. The divergence between the two quantifies the extent to which monetary effects—not underlying asset dynamics—drive nominal price changes.

Nominal vs Real DCX

Periods where the nominal DCX rises while the Real DCX remains flat or declines suggest that price gains are largely fiat-driven. When both rise in parallel, it signals real market appreciation. This distinction mirrors frameworks used in macroeconomic analysis, such as real effective exchange rate (REER) indices or deflated commodity benchmarks.

The Real DCX is integrated into all analytical dashboards and publications alongside the nominal series. Both are derived from the same OpenFacet price matrices, based on public retail ask data, and remain fully transparent, reproducible, and aligned with observable market structures.

DCX Methodology

Tags: #Research