Tower Resources Stock Market Value
| TWRFF Stock | USD 0.09 0.0001 0.11% |
| Symbol | Tower |
Tower Resources '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 Tower Resources' 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 Tower Resources.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Tower Resources on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Tower Resources or generate 0.0% return on investment in Tower Resources over 30 days. Tower Resources is related to or competes with Metals X, Nevada King, Red Moon, South Star, Filo Mining, Alphamin Resources, and Adriatic Metals. Tower Resources Ltd. engages in the acquisition, evaluation, and exploration of mineral properties in Canada More
Tower Resources 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 Tower Resources' 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 Tower Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.0 | |||
| Information Ratio | 0.1147 | |||
| Maximum Drawdown | 30.37 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 11.18 |
Tower Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tower Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tower Resources' standard deviation. In reality, there are many statistical measures that can use Tower Resources historical prices to predict the future Tower Resources' volatility.| Risk Adjusted Performance | 0.1115 | |||
| Jensen Alpha | 0.8933 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0926 | |||
| Treynor Ratio | (0.55) |
Tower Resources Backtested Returns
Tower Resources appears to be out of control, given 3 months investment horizon. Tower Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% return per unit of risk over the last 3 months. By inspecting Tower Resources' technical indicators, you can evaluate if the expected return of 0.65% is justified by implied risk. Please review Tower Resources' Coefficient Of Variation of 741.96, risk adjusted performance of 0.1115, and Semi Deviation of 3.64 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Tower Resources holds a performance score of 9. The entity has a beta of -1.37, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Tower Resources are expected to decrease by larger amounts. On the other hand, during market turmoil, Tower Resources is expected to outperform it. Please check Tower Resources' downside variance, as well as the relationship between the kurtosis and day typical price , to make a quick decision on whether Tower Resources' existing price patterns will revert.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Tower Resources has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Tower Resources time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Tower Resources price movement. The serial correlation of -0.74 indicates that around 74.0% of current Tower Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Tower Resources lagged returns against current returns
Autocorrelation, which is Tower Resources 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 Tower Resources' pink sheet expected returns. We can calculate the autocorrelation of Tower Resources returns to help us make a trade decision. For example, suppose you find that Tower Resources 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 |
Tower Resources 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 Tower Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tower Resources pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tower Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Tower Resources Lagged Returns
When evaluating Tower Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tower Resources pink sheet have on its future price. Tower Resources 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, Tower Resources autocorrelation shows the relationship between Tower Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Tower Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Tower Pink Sheet
Tower Resources financial ratios help investors to determine whether Tower 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 Tower with respect to the benefits of owning Tower Resources security.