Class 1 Nickel Stock Market Value
| NICLF Stock | USD 0.18 0.04 18.18% |
| Symbol | Class |
Class 1 '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 Class 1's otc stock 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 Class 1.
| 01/07/2024 |
| 12/02/2024 |
If you would invest 0.00 in Class 1 on January 7, 2024 and sell it all today you would earn a total of 0.00 from holding Class 1 Nickel or generate 0.0% return on investment in Class 1 over 330 days. Class 1 is related to or competes with Pampa Metals, Mundoro Capital, and Amarc Resources. Class 1 Nickel and Technologies Limited engages in the exploration and development of minerals and base metals in Canada More
Class 1 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 Class 1's otc stock 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 Class 1 Nickel upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1342 | |||
| Maximum Drawdown | 123.58 | |||
| Value At Risk | (21.98) | |||
| Potential Upside | 21.13 |
Class 1 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Class 1's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Class 1's standard deviation. In reality, there are many statistical measures that can use Class 1 historical prices to predict the future Class 1's volatility.| Risk Adjusted Performance | 0.118 | |||
| Jensen Alpha | 2.53 | |||
| Total Risk Alpha | (0.46) | |||
| Treynor Ratio | 30.87 |
Class 1 Nickel Backtested Returns
Class 1 is out of control given 3 months investment horizon. Class 1 Nickel secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14% return per unit of standard deviation over the last 3 months. We were able to break down and interpolate twenty-two different technical indicators, which can help you to evaluate if expected returns of 2.55% are justified by taking the suggested risk. Use Class 1 mean deviation of 8.18, and Risk Adjusted Performance of 0.118 to evaluate company specific risk that cannot be diversified away. Class 1 holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.0823, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Class 1's returns are expected to increase less than the market. However, during the bear market, the loss of holding Class 1 is expected to be smaller as well. Use Class 1 potential upside, day typical price, and the relationship between the total risk alpha and daily balance of power , to analyze future returns on Class 1.
Auto-correlation | 0.53 |
Modest predictability
Class 1 Nickel has modest predictability. Overlapping area represents the amount of predictability between Class 1 time series from 7th of January 2024 to 20th of June 2024 and 20th of June 2024 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 Class 1 Nickel price movement. The serial correlation of 0.53 indicates that about 53.0% of current Class 1 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Class 1 Nickel lagged returns against current returns
Autocorrelation, which is Class 1 otc stock'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 Class 1's otc stock expected returns. We can calculate the autocorrelation of Class 1 returns to help us make a trade decision. For example, suppose you find that Class 1 has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
Class 1 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 Class 1 otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Class 1 otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Class 1 otc stock over time.
Current vs Lagged Prices |
| Timeline |
Class 1 Lagged Returns
When evaluating Class 1's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Class 1 otc stock have on its future price. Class 1 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, Class 1 autocorrelation shows the relationship between Class 1 otc stock current value and its past values and can show if there is a momentum factor associated with investing in Class 1 Nickel.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Class OTC Stock
Class 1 financial ratios help investors to determine whether Class OTC Stock 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 Class with respect to the benefits of owning Class 1 security.