Goldmoney Stock Market Value
| XAUMF Stock | USD 5.95 0.04 0.68% |
| Symbol | GoldMoney |
GoldMoney '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 GoldMoney's pink sheet 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 GoldMoney.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in GoldMoney on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding GoldMoney or generate 0.0% return on investment in GoldMoney over 720 days. GoldMoney is related to or competes with GoldMoney, North Peak, and Liberty Gold. Goldmoney Inc. operates as a precious metal financial service and technology company worldwide More
GoldMoney 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 GoldMoney's pink sheet 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 GoldMoney upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 13.56 | |||
| Value At Risk | (3.66) | |||
| Potential Upside | 3.5 |
GoldMoney Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GoldMoney's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GoldMoney's standard deviation. In reality, there are many statistical measures that can use GoldMoney historical prices to predict the future GoldMoney's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.56) | |||
| Treynor Ratio | (1.02) |
GoldMoney Backtested Returns
GoldMoney holds Efficiency (Sharpe) Ratio of -0.0661, which attests that the entity had a -0.0661% return per unit of risk over the last 3 months. GoldMoney exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GoldMoney's Standard Deviation of 2.16, market risk adjusted performance of (1.01), and Risk Adjusted Performance of (0.06) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, GoldMoney's returns are expected to increase less than the market. However, during the bear market, the loss of holding GoldMoney is expected to be smaller as well. At this point, GoldMoney has a negative expected return of -0.14%. Please make sure to check out GoldMoney's skewness, as well as the relationship between the rate of daily change and price action indicator , to decide if GoldMoney performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.47 |
Modest reverse predictability
GoldMoney has modest reverse predictability. Overlapping area represents the amount of predictability between GoldMoney time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st 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 GoldMoney price movement. The serial correlation of -0.47 indicates that about 47.0% of current GoldMoney price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.37 |
GoldMoney lagged returns against current returns
Autocorrelation, which is GoldMoney pink sheet'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 GoldMoney's pink sheet expected returns. We can calculate the autocorrelation of GoldMoney returns to help us make a trade decision. For example, suppose you find that GoldMoney has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
GoldMoney 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 GoldMoney pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GoldMoney pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GoldMoney pink sheet over time.
Current vs Lagged Prices |
| Timeline |
GoldMoney Lagged Returns
When evaluating GoldMoney's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GoldMoney pink sheet have on its future price. GoldMoney 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, GoldMoney autocorrelation shows the relationship between GoldMoney pink sheet current value and its past values and can show if there is a momentum factor associated with investing in GoldMoney.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in GoldMoney Pink Sheet
GoldMoney financial ratios help investors to determine whether GoldMoney Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in GoldMoney with respect to the benefits of owning GoldMoney security.