Db Gold Short Etf Market Value
| DGZ Etf | USD 8.46 0.10 1.20% |
| Symbol | DGZ |
The market value of DB Gold Short is measured differently than its book value, which is the value of DGZ that is recorded on the company's balance sheet. Investors also form their own opinion of DB Gold's value that differs from its market value or its book value, called intrinsic value, which is DB Gold's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because DB Gold's market value can be influenced by many factors that don't directly affect DB Gold's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between DB Gold's value and its price as these two are different measures arrived at by different means. Investors typically determine if DB Gold is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DB Gold's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
DB Gold 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to DB Gold's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of DB Gold.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in DB Gold on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding DB Gold Short or generate 0.0% return on investment in DB Gold over 30 days. DB Gold is related to or competes with DB Gold, ProShares UltraShort, DB Gold, ProShares UltraShort, and ProShares Short. The index is intended to reflect changes in the market value of certain gold futures contracts and is comprised of a sin... More
DB Gold Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure DB Gold's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess DB Gold Short upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 9.62 | |||
| Value At Risk | (3.29) | |||
| Potential Upside | 3.49 |
DB Gold Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DB Gold's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DB Gold's standard deviation. In reality, there are many statistical measures that can use DB Gold historical prices to predict the future DB Gold's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | (0.32) |
DB Gold Short Backtested Returns
DB Gold Short retains Efficiency (Sharpe Ratio) of -0.007, which denotes the etf had a -0.007% return per unit of price deviation over the last 3 months. DB Gold exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DB Gold's Standard Deviation of 1.98, market risk adjusted performance of (0.31), and Information Ratio of (0.08) to check the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.16, which means not very significant fluctuations relative to the market. As returns on the market increase, DB Gold's returns are expected to increase less than the market. However, during the bear market, the loss of holding DB Gold is expected to be smaller as well.
Auto-correlation | 0.33 |
Below average predictability
DB Gold Short has below average predictability. Overlapping area represents the amount of predictability between DB Gold time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of DB Gold Short price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current DB Gold price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
DB Gold Short lagged returns against current returns
Autocorrelation, which is DB Gold etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting DB Gold's etf expected returns. We can calculate the autocorrelation of DB Gold returns to help us make a trade decision. For example, suppose you find that DB Gold has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
DB Gold regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If DB Gold etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DB Gold etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DB Gold etf over time.
Current vs Lagged Prices |
| Timeline |
DB Gold Lagged Returns
When evaluating DB Gold's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DB Gold etf have on its future price. DB Gold autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, DB Gold autocorrelation shows the relationship between DB Gold etf current value and its past values and can show if there is a momentum factor associated with investing in DB Gold Short.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether DB Gold Short offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DB Gold's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Db Gold Short Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Db Gold Short Etf:Check out DB Gold Correlation, DB Gold Volatility and DB Gold Alpha and Beta module to complement your research on DB Gold. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
DB Gold technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.