Golden Goliath Resources Stock Market Value
| GGTHF Stock | USD 0.06 0.03 100.00% |
| Symbol | Golden |
Golden Goliath '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 Golden Goliath'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 Golden Goliath.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in Golden Goliath on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding Golden Goliath Resources or generate 0.0% return on investment in Golden Goliath over 720 days. Golden Goliath is related to or competes with Freegold Ventures, Adriatic Metals, Standard Lithium, and Fireweed Zinc. Golden Goliath Resources Ltd. engages in the acquisition and exploration of resource properties More
Golden Goliath 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 Golden Goliath'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 Golden Goliath Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 53.81 | |||
| Information Ratio | 0.2028 | |||
| Maximum Drawdown | 499.08 | |||
| Value At Risk | (69.60) | |||
| Potential Upside | 215.99 |
Golden Goliath Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Golden Goliath's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Golden Goliath's standard deviation. In reality, there are many statistical measures that can use Golden Goliath historical prices to predict the future Golden Goliath's volatility.| Risk Adjusted Performance | 0.1666 | |||
| Jensen Alpha | 18.92 | |||
| Total Risk Alpha | 3.81 | |||
| Sortino Ratio | 0.3072 | |||
| Treynor Ratio | (0.88) |
Golden Goliath Resources Backtested Returns
Golden Goliath is out of control given 3 months investment horizon. Golden Goliath Resources holds Efficiency (Sharpe) Ratio of 0.22, which attests that the entity had a 0.22% return per unit of risk over the last 3 months. We have analyze and collected data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 19.2% are justified by taking the suggested risk. Use Golden Goliath Resources Market Risk Adjusted Performance of (0.87), downside deviation of 53.81, and Risk Adjusted Performance of 0.1666 to evaluate company specific risk that cannot be diversified away. Golden Goliath holds a performance score of 17 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of -18.83, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Golden Goliath are expected to decrease by larger amounts. On the other hand, during market turmoil, Golden Goliath is expected to outperform it. Use Golden Goliath Resources total risk alpha, expected short fall, period momentum indicator, as well as the relationship between the value at risk and rate of daily change , to analyze future returns on Golden Goliath Resources.
Auto-correlation | -0.02 |
Very weak reverse predictability
Golden Goliath Resources has very weak reverse predictability. Overlapping area represents the amount of predictability between Golden Goliath time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd of November 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 Golden Goliath Resources price movement. The serial correlation of -0.02 indicates that only 2.0% of current Golden Goliath price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Golden Goliath Resources lagged returns against current returns
Autocorrelation, which is Golden Goliath 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 Golden Goliath's pink sheet expected returns. We can calculate the autocorrelation of Golden Goliath returns to help us make a trade decision. For example, suppose you find that Golden Goliath 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 |
Golden Goliath 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 Golden Goliath pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Golden Goliath pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Golden Goliath pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Golden Goliath Lagged Returns
When evaluating Golden Goliath's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Golden Goliath pink sheet have on its future price. Golden Goliath 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, Golden Goliath autocorrelation shows the relationship between Golden Goliath pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Golden Goliath Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Golden Pink Sheet
Golden Goliath financial ratios help investors to determine whether Golden 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 Golden with respect to the benefits of owning Golden Goliath security.