Orla Mining Stock Market Value
| OLA Stock | CAD 7.96 0.03 0.38% |
| Symbol | Orla |
Orla Mining Price To Book Ratio
Orla 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 Orla Mining's 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 Orla Mining.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Orla Mining on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Orla Mining or generate 0.0% return on investment in Orla Mining over 30 days. Orla Mining is related to or competes with SilverCrest Metals, and K92 Mining. Orla Mining Ltd., a mineral exploration and development company, acquires, explores, and develops mineral properties More
Orla 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 Orla Mining's 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 Orla Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.06 | |||
| Information Ratio | 0.1431 | |||
| Maximum Drawdown | 19.14 | |||
| Value At Risk | (4.67) | |||
| Potential Upside | 5.42 |
Orla Mining Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orla Mining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orla Mining's standard deviation. In reality, there are many statistical measures that can use Orla Mining historical prices to predict the future Orla Mining's volatility.| Risk Adjusted Performance | 0.1367 | |||
| Jensen Alpha | 0.5361 | |||
| Total Risk Alpha | 0.1116 | |||
| Sortino Ratio | 0.1524 | |||
| Treynor Ratio | 1.8 |
Orla Mining Backtested Returns
Orla Mining appears to be slightly risky, given 3 months investment horizon. Orla Mining maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies the firm had a 0.17% return per unit of risk over the last 3 months. By analyzing Orla Mining's technical indicators, you can evaluate if the expected return of 0.56% is justified by implied risk. Please evaluate Orla Mining's Coefficient Of Variation of 563.54, semi deviation of 2.66, and Risk Adjusted Performance of 0.1367 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Orla Mining holds a performance score of 13. The company holds a Beta of 0.32, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Orla Mining's returns are expected to increase less than the market. However, during the bear market, the loss of holding Orla Mining is expected to be smaller as well. Please check Orla Mining's downside variance, daily balance of power, and the relationship between the maximum drawdown and skewness , to make a quick decision on whether Orla Mining's historical price patterns will revert.
Auto-correlation | 0.67 |
Good predictability
Orla Mining has good predictability. Overlapping area represents the amount of predictability between Orla Mining time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Orla Mining price movement. The serial correlation of 0.67 indicates that around 67.0% of current Orla Mining price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
Orla Mining lagged returns against current returns
Autocorrelation, which is Orla Mining 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 Orla Mining's stock expected returns. We can calculate the autocorrelation of Orla Mining returns to help us make a trade decision. For example, suppose you find that Orla Mining has exhibited high autocorrelation historically, and you observe that the 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 |
Orla 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 Orla Mining stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Orla Mining stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Orla Mining stock over time.
Current vs Lagged Prices |
| Timeline |
Orla Mining Lagged Returns
When evaluating Orla Mining's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Orla Mining stock have on its future price. Orla 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, Orla Mining autocorrelation shows the relationship between Orla Mining stock current value and its past values and can show if there is a momentum factor associated with investing in Orla Mining.
Regressed Prices |
| Timeline |
Pair Trading with Orla Mining
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Orla Mining position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Orla Mining will appreciate offsetting losses from the drop in the long position's value.Moving against Orla Stock
The ability to find closely correlated positions to Orla Mining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Orla Mining when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Orla Mining - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Orla Mining to buy it.
The correlation of Orla Mining is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Orla Mining moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Orla Mining moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Orla Mining can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Orla Mining Correlation, Orla Mining Volatility and Orla Mining Alpha and Beta module to complement your research on Orla Mining. To learn how to invest in Orla Stock, please use our How to Invest in Orla Mining guide.You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Orla Mining technical stock 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, stock market cycles, or different charting patterns.