Spey Resources Corp Stock Market Value
| SPEYF Stock | USD 0.10 0.02 16.67% |
| Symbol | Spey |
Spey 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 Spey 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 Spey Resources.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Spey Resources on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Spey Resources Corp or generate 0.0% return on investment in Spey Resources over 720 days. Spey Resources is related to or competes with IGO, and Adriatic Metals. Spey Resources Corp. engages in the acquisition, exploration, and development of mineral properties in Canada More
Spey 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 Spey 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 Spey Resources Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 34.23 | |||
| Information Ratio | 0.1735 | |||
| Maximum Drawdown | 224.42 | |||
| Value At Risk | (49.07) | |||
| Potential Upside | 117.39 |
Spey Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spey Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spey Resources' standard deviation. In reality, there are many statistical measures that can use Spey Resources historical prices to predict the future Spey Resources' volatility.| Risk Adjusted Performance | 0.1451 | |||
| Jensen Alpha | 6.24 | |||
| Total Risk Alpha | 0.3916 | |||
| Sortino Ratio | 0.2035 | |||
| Treynor Ratio | 1.06 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spey Resources' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Spey Resources Corp Backtested Returns
Spey Resources is out of control given 3 months investment horizon. Spey Resources Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the firm had a 0.17% return per unit of risk over the last 3 months. We have analyzed and interpolated twenty-nine different technical indicators, which can help you to evaluate if expected returns of 6.97% are justified by taking the suggested risk. Use Spey Resources Corp Semi Deviation of 18.58, coefficient of variation of 565.19, and Risk Adjusted Performance of 0.1451 to evaluate company specific risk that cannot be diversified away. Spey Resources holds a performance score of 13 on a scale of zero to a hundred. The entity has a beta of 6.72, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Spey Resources will likely underperform. Use Spey Resources Corp total risk alpha and the relationship between the potential upside and day typical price , to analyze future returns on Spey Resources Corp.
Auto-correlation | 0.61 |
Good predictability
Spey Resources Corp has good predictability. Overlapping area represents the amount of predictability between Spey Resources time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 Spey Resources Corp price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Spey Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Spey Resources Corp lagged returns against current returns
Autocorrelation, which is Spey 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 Spey Resources' pink sheet expected returns. We can calculate the autocorrelation of Spey Resources returns to help us make a trade decision. For example, suppose you find that Spey 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 |
Spey 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 Spey Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spey 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 Spey Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Spey Resources Lagged Returns
When evaluating Spey Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spey Resources pink sheet have on its future price. Spey 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, Spey Resources autocorrelation shows the relationship between Spey Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Spey Resources Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Spey Pink Sheet
Spey Resources financial ratios help investors to determine whether Spey 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 Spey with respect to the benefits of owning Spey Resources security.