Jnc Resources Stock Market Value
| JNCCF Stock | USD 0.01 0 28.57% |
| Symbol | JNC |
JNC 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 JNC 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 JNC Resources.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in JNC Resources on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding JNC Resources or generate 0.0% return on investment in JNC Resources over 90 days. JNC Resources is related to or competes with Angkor Resources, West Red, Norsemont Mining, White Gold, Goldshore Resources, Angus Gold, and Rio2. RooGold Inc. engages in the exploration for mineral resources in Canada More
JNC 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 JNC 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 JNC Resources upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0489 | |||
| Maximum Drawdown | 124.0 |
JNC Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JNC Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JNC Resources' standard deviation. In reality, there are many statistical measures that can use JNC Resources historical prices to predict the future JNC Resources' volatility.| Risk Adjusted Performance | 0.0424 | |||
| Jensen Alpha | 0.4132 | |||
| Total Risk Alpha | 2.78 | |||
| Treynor Ratio | (0.72) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JNC 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.
JNC Resources Backtested Returns
JNC Resources appears to be out of control, given 3 months investment horizon. JNC Resources retains Efficiency (Sharpe Ratio) of 0.0577, which attests that the entity had a 0.0577 % return per unit of return volatility over the last 3 months. By reviewing JNC Resources' technical indicators, you can evaluate if the expected return of 0.77% is justified by implied risk. Please utilize JNC Resources' Coefficient Of Variation of 2558.52, market risk adjusted performance of (0.71), and Standard Deviation of 13.42 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, JNC Resources holds a performance score of 4. The company owns a Beta (Systematic Risk) of -0.71, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning JNC Resources are expected to decrease at a much lower rate. During the bear market, JNC Resources is likely to outperform the market. Please check JNC Resources' standard deviation, kurtosis, period momentum indicator, as well as the relationship between the jensen alpha and day median price , to make a quick decision on whether JNC Resources' current price history will revert.
Auto-correlation | -0.46 |
Modest reverse predictability
JNC Resources has modest reverse predictability. Overlapping area represents the amount of predictability between JNC Resources time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of JNC Resources price movement. The serial correlation of -0.46 indicates that about 46.0% of current JNC Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
JNC Resources lagged returns against current returns
Autocorrelation, which is JNC 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 JNC Resources' pink sheet expected returns. We can calculate the autocorrelation of JNC Resources returns to help us make a trade decision. For example, suppose you find that JNC 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 |
JNC 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 JNC Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JNC 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 JNC Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
JNC Resources Lagged Returns
When evaluating JNC Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JNC Resources pink sheet have on its future price. JNC 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, JNC Resources autocorrelation shows the relationship between JNC Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in JNC Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in JNC Pink Sheet
JNC Resources financial ratios help investors to determine whether JNC 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 JNC with respect to the benefits of owning JNC Resources security.