Osisko Mining Stock Market Value
| OBNNF Stock | USD 2.34 0.02 0.86% |
| Symbol | Osisko |
Osisko Mining '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 Osisko Mining'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 Osisko Mining.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Osisko Mining on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Osisko Mining or generate 0.0% return on investment in Osisko Mining over 30 days. Osisko Mining is related to or competes with Adriatic Metals, Almonty Industries, and Amarc Resources. Osisko Mining Inc., a mineral exploration company, engages in the acquisition, exploration, and development of gold reso... More
Osisko Mining 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 Osisko Mining'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 Osisko Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.57 | |||
| Information Ratio | 0.1015 | |||
| Maximum Drawdown | 12.42 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 4.95 |
Osisko Mining Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Osisko Mining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Osisko Mining's standard deviation. In reality, there are many statistical measures that can use Osisko Mining historical prices to predict the future Osisko Mining's volatility.| Risk Adjusted Performance | 0.0931 | |||
| Jensen Alpha | 0.4329 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.1058 | |||
| Treynor Ratio | (0.40) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Osisko Mining's 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.
Osisko Mining Backtested Returns
Osisko Mining appears to be relatively risky, given 3 months investment horizon. Osisko Mining maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15% return per unit of risk over the last 3 months. We have found thirty technical indicators for Osisko Mining, which you can use to evaluate the volatility of the company. Please evaluate Osisko Mining's Coefficient Of Variation of 729.79, semi deviation of 2.08, and Risk Adjusted Performance of 0.0931 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Osisko Mining holds a performance score of 11. The company holds a Beta of -0.89, which implies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Osisko Mining are expected to decrease slowly. On the other hand, during market turmoil, Osisko Mining is expected to outperform it slightly. Please check Osisko Mining's total risk alpha, expected short fall, market facilitation index, as well as the relationship between the value at risk and daily balance of power , to make a quick decision on whether Osisko Mining's historical price patterns will revert.
Auto-correlation | 0.59 |
Modest predictability
Osisko Mining has modest predictability. Overlapping area represents the amount of predictability between Osisko Mining time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Osisko Mining price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Osisko Mining price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Osisko Mining lagged returns against current returns
Autocorrelation, which is Osisko Mining 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 Osisko Mining's pink sheet expected returns. We can calculate the autocorrelation of Osisko Mining returns to help us make a trade decision. For example, suppose you find that Osisko Mining 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 |
Osisko Mining 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 Osisko Mining pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Osisko Mining pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Osisko Mining pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Osisko Mining Lagged Returns
When evaluating Osisko Mining's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Osisko Mining pink sheet have on its future price. Osisko Mining 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, Osisko Mining autocorrelation shows the relationship between Osisko Mining pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Osisko Mining.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Osisko Mining in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Osisko Mining's short interest history, or implied volatility extrapolated from Osisko Mining options trading.
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When running Osisko Mining's price analysis, check to measure Osisko Mining's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Osisko Mining is operating at the current time. Most of Osisko Mining's value examination focuses on studying past and present price action to predict the probability of Osisko Mining's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Osisko Mining's price. Additionally, you may evaluate how the addition of Osisko Mining to your portfolios can decrease your overall portfolio volatility.
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Osisko Mining technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.