Orea Mining Corp Stock Market Value
Orea Mining's market value is the price at which a share of Orea Mining trades on a public exchange. It measures the collective expectations of Orea Mining Corp investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Orea Mining Corp and determine expected loss or profit from investing in Orea Mining over a given investment horizon. Check out Orea Mining Correlation, Orea Mining Volatility and Orea Mining Alpha and Beta module to complement your research on Orea Mining.
Symbol | Orea |
Orea 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 Orea 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 Orea Mining.
03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Orea Mining on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Orea Mining Corp or generate 0.0% return on investment in Orea Mining over 30 days. Orea Mining is related to or competes with Tudor Gold, Treasury Metals, Orogen Royalties, Moneta Gold, Cabral Gold, Asante Gold, and Bluestone Resources. Orea Mining Corp. engages in the acquisition, exploration, and development of mineral properties in France and South Ame... More
Orea 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 Orea 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 Orea Mining Corp upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.20) | |||
Maximum Drawdown | 10.0 |
Orea Mining Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orea Mining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orea Mining's standard deviation. In reality, there are many statistical measures that can use Orea Mining historical prices to predict the future Orea Mining's volatility.Risk Adjusted Performance | (0.07) | |||
Jensen Alpha | (0.16) | |||
Total Risk Alpha | (0.32) | |||
Treynor Ratio | 4.52 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Orea 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.
Orea Mining Corp Backtested Returns
Orea Mining Corp maintains Sharpe Ratio (i.e., Efficiency) of -0.14, which implies the firm had a -0.14% return per unit of risk over the last 3 months. Orea Mining Corp exposes thirteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Orea Mining's Risk Adjusted Performance of (0.07), variance of 1.52, and Coefficient Of Variation of (812.40) to confirm the risk estimate we provide. The company holds a Beta of -0.0357, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Orea Mining are expected to decrease at a much lower rate. During the bear market, Orea Mining is likely to outperform the market. Orea Mining Corp has an expected return of -1.77%. Please make sure to check Orea Mining Corp coefficient of variation, total risk alpha, as well as the relationship between the Total Risk Alpha and skewness , to decide if Orea Mining Corp performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.22 |
Weak predictability
Orea Mining Corp has weak predictability. Overlapping area represents the amount of predictability between Orea Mining time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Orea Mining Corp price movement. The serial correlation of 0.22 indicates that over 22.0% of current Orea Mining price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.22 | |
Spearman Rank Test | -0.45 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Orea Mining Corp lagged returns against current returns
Autocorrelation, which is Orea 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 Orea Mining's pink sheet expected returns. We can calculate the autocorrelation of Orea Mining returns to help us make a trade decision. For example, suppose you find that Orea 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 |
Orea 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 Orea Mining pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Orea 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 Orea Mining pink sheet over time.
Current vs Lagged Prices |
Timeline |
Orea Mining Lagged Returns
When evaluating Orea Mining's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Orea Mining pink sheet have on its future price. Orea 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, Orea Mining autocorrelation shows the relationship between Orea Mining pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Orea Mining Corp.
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 Orea 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, Orea Mining's short interest history, or implied volatility extrapolated from Orea Mining options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Orea Mining Correlation, Orea Mining Volatility and Orea Mining Alpha and Beta module to complement your research on Orea Mining. Note that the Orea Mining Corp information on this page should be used as a complementary analysis to other Orea Mining's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Complementary Tools for Orea Pink Sheet analysis
When running Orea Mining's price analysis, check to measure Orea 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 Orea Mining is operating at the current time. Most of Orea Mining's value examination focuses on studying past and present price action to predict the probability of Orea 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 Orea Mining's price. Additionally, you may evaluate how the addition of Orea Mining to your portfolios can decrease your overall portfolio volatility.
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |
Orea 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.