DB Gold Short Etf Volatility

DGZ Etf  USD 5.35  0.48  9.86%   
DB Gold Short shows an above-average volatility profile over the current evaluation window. Its Sharpe Ratio (Efficiency) stands at 0.0103, reflecting risk-adjusted gains over the last 3 months. We found 29 technical indicators contributing to the current risk picture.

Sharpe Ratio = 0.0103

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Negative ReturnsDGZ
DB Gold Short posted a Market Risk Adjusted Performance of -0.02%, a Risk of 3.85, and a Risk Adjusted Performance of 0.02% for the reported period. Based on recent moving average trends, DB Gold has not achieved its theoretical performance maximum. Pairing it with a well-diversified portfolio structure may improve overall efficiency.
Key indicators related to DB Gold's volatility include:
90 Days Market Risk
Chance Of Distress
90 Days Economic Sensitivity
The volatility profile of DB Gold determines how much DB Gold's price can move in either direction over a given time frame. Investors use volatility estimates to size positions, set stop-loss levels, and price the cost of hedging DB Gold exposure.

Volatility Strategy

Volatility in DB Gold Short reflects changing market conditions that influence diversification outcomes. Current statistical measures show total volatility near 3.85% with a beta coefficient of -0.85, indicating sensitivity relative to the broader market benchmark. Risk-adjusted efficiency, represented by a Sharpe ratio of 0.0103, evaluates return per unit of total risk. An alpha value of -0.0426 reflects performance relative to systematic market exposure. Expected return estimates near 0.0397% are derived from historical distribution modeling and help frame forward-looking return assumptions within a portfolio context. Deviation from NAV may influence short-term price dispersion.

Main indicators related to DB Gold's market risk premium analysis include:

 Beta
-0.85
 Alpha
-0.04
 Risk
3.85
 Sharpe Ratio
0.0103
 Expected Return
0.0397

Moving together with DGZ Etf

  0.64SCO ProShares UltraShortPairCorr
  0.74IBM International BusinessPairCorr

Moving against DGZ Etf

  0.63VIXM ProShares VIX MidPairCorr
  0.63VXZ iPath Series BPairCorr
  0.61VXX iPath Series BPairCorr
  0.61VIXY ProShares VIX Short Potential GrowthPairCorr
  0.53BLUI Exchange Traded ConceptsPairCorr
  0.5KGLD Kurv Gold Enhanced Downward RallyPairCorr

Sensitivity To Market

The beta coefficient of -0.85 for DB Gold Short measures how its returns respond to broader market changes. In regression terms, beta captures the slope between asset returns and index returns. Historical volatility is currently near 3.85%.DB Gold Short return patterns over the selected horizon reflect a above average level of variability, based on dispersion and downside-focused statistics. ETF price swings can be influenced by underlying holdings liquidity and the gap between market price and NAV. Premium/discount to NAV is often expressed as (Price − NAV) / NAV × 100 when NAV is available.
Check current 90 days DB Gold correlation with market (Dow Jones Industrial)
α-0.0426   β-0.85
3 Months Beta |Analyze DB Gold Short Demand Trend
Check current 90 days DB Gold correlation with market (Dow Jones Industrial)

Downside Risk

DGZ standard deviation quantifies the typical daily price movement relative to its average over your selected period. Volatile instruments show high standard deviation; stable instruments show low.
Standard Deviation
    
  3.85  
The difference between upside risk and downside risk is meaningful for DB Gold investors. Upside risk is measured by DB Gold's standard deviation, while downside risk is captured by semi-deviation or downside deviation of DB Gold's daily returns. DB Gold Short posted a Downside Deviation of 3.77, a Downside Variance of 14.19, and a Maximum Drawdown of 16.73 for the reported period.

Etf Volatility Analysis

When measuring the risk of DB Gold etf, volatility is a critical metric. It indicates how dramatically DB Gold's price swings over a specific time horizon. A etf with high volatility can produce outsized gains or losses compared to a low-volatility alternative.
Transformation
This analysis covers sixty-one data points across the selected time horizon. DB Gold Short Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.

Projected Return Density Against Market

Considering the 90-day investment horizon DB Gold Short has a beta of -0.85 suggesting
DB Gold carries exposure to broad market movements as well as company or sector-specific developments. While portfolio diversification can reduce asset-level risk, systematic volatility cannot be avoided. Standard deviation and beta quantify this exposure. DB Gold Short posted a Downside Deviation of 3.77, a Mean Deviation of 2.96, and a Semi Deviation of 3.53 for the reported period.
DB Gold Short has a negative alpha, implying that the risk taken by holding this instrument is not justified. The ETF is significantly underperforming the Dow Jones Industrial.
   Predicted Return Density   
       Returns  
DB Gold's volatility is measured either by using standard deviation or beta. Standard deviation reflects how much DB Gold's price typically deviates from the mean over a given period.

What Drives DB Gold's Price Volatility?

Several factors can influence DB Gold's market volatility:

Industry Dynamics

Sector-level events can directly affect DB Gold's price stability. Regulatory changes, supply disruptions, or shifts in demand within DB Gold's industry may create volatility even when the broader market is calm. Competitive dynamics and industry consolidation can also amplify price swings for companies like DB Gold.

Political and Economic Environment

Macroeconomic conditions and policy decisions shape the backdrop for DB Gold's price movements. Interest rate changes, trade policy shifts, and fiscal legislation can all alter investor sentiment toward DB Gold. During periods of economic expansion, DB Gold's price tends to benefit from broader market optimism, while downturns can amplify selling pressure.

DB Gold's Company-Specific Factors

Volatility can also stem from events unique to DB Gold. Earnings surprises, management changes, product launches, or legal developments may trigger sharp price reactions in DB Gold's stock. Conversely, operational setbacks, guidance revisions, or data breaches can weigh on DB Gold's share price.

Etf Risk Measures

Considering the 90-day investment horizon the coefficient of variation of DB Gold is 9712.91. The daily returns are distributed with a variance of 14.86 and standard deviation of 3.85. The mean deviation of DB Gold Short is currently at 2.96. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.79
α
Alpha over Dow Jones
-0.0426
β
Beta against Dow Jones-0.85
σ
Overall volatility
3.85
Ir
Information ratio 0.03

Etf Return Volatility

Volatility for DB Gold quantifies the day-to-day dispersion of etf returns around their historical average. The ETF carries 3.8544% return volatility across the 90-day horizon. As a benchmark, Dow Jones Industrial has volatility of 0.8201% on return distribution over a 90-day investment horizon.
 Performance 
       Timeline  

Related Correlations Analysis


Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

CRMMSFT
XOMT
XOMMRK
MRKT
UBERMSFT
AMSFT
  

High negative correlations

XOMCRM
XOMMSFT
TMSFT
TUBER
MRKMSFT
MRKCRM

DB Gold Competition Risk-Adjusted Indicators

DB Gold ETF may look attractive on headline returns alone, but deeper analysis often tells a different story. A thorough review of DB Gold's risk-adjusted indicators provides a clearer picture of whether returns are being earned efficiently. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

Risk Metrics, Assumptions & Methodology

Volatility for DB Gold reflects price dispersion, spread stability, and underlying basket liquidity conditions. Standard deviation provides a baseline measure of variability magnitude.

This section for DB Gold Short is built from fund disclosures and market reference feeds, with harmonization applied to align reporting definitions. Values may update on different source schedules. Volatility and downside metrics are estimated from historical return dispersion.

This content is curated and reviewed by:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board
Last reviewed on March 15th, 2026

DB Gold Investment Opportunity

DB Gold Short currently shows materially higher return volatility than Dow Jones Industrial, with a relative multiple of about 4.7. That added volatility may be acceptable only if the position is expected to deliver stronger return efficiency or diversification value.You can use DB Gold Short to enhance the returns of your portfolios. This price-change note interprets the latest move in the context of short-horizon trading behavior. It is most useful when combined with broader risk controls and position-sizing discipline. a very speculative upward sentiment. Check odds of DB Gold to be traded at $6.69 in 90 days.
Very weak diversification
Across the chosen horizon, DGZ and DJI show a correlation of 0.46 and fall into the Very weak diversification bucket. In portfolio terms, the overlap visualization shows how much shared movement remains after both positions are combined.

DB Gold Additional Risk Indicators

Looking at additional risk metrics for DB Gold Short frames how the position may behave under different market and portfolio conditions. A disciplined risk review provides context for deciding whether exposure should be maintained, reduced, or offset elsewhere in the portfolio.

DB Gold Suggested Diversification Pairs

Pair analysis around DB Gold Short matters because it can turn one security idea into a more market-neutral structure. Used properly, pair trading is less about prediction in isolation and more about identifying relative mispricing between related positions.
Risk reduction through pair trading is real but has limits - not every type of exposure can be offset by a second leg. DB Gold's exposure to overall market risk stays intact regardless of pairing. The value of a second leg lies in reducing DB Gold's idiosyncratic risk - the part that comes from company-level events rather than macro conditions.

More Resources for DGZ Etf Analysis

A baseline understanding of DB Gold Short is formed through its financial statements and trends. These ratios help explain how earnings, efficiency, and value creation are connected.
For portfolio construction context, review Investing Opportunities. Diversification context helps frame allocation across holdings. The construction of a diversified portfolio involves managing position exposure. A position in DB Gold Short is part of the allocation. This appears in the portfolio view. Portfolio construction methods define how positions are sized. The content reflects structured data inputs rather than subjective analysis. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices.
Investors get more value from DB Gold analysis when it is combined with other construction and diversification tools. For DB Gold, the analytical tools below add portfolio-level context that single-security review alone cannot provide. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Comparing DB Gold's market price with book value reveals how market sentiment relates to accounting fundamentals. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value.
Value and price for DB Gold are related but not identical, and they can diverge across cycles. Reviewing financial results, valuation ratios, and competitive positioning helps frame the value discussion.