Big Ridge Gold Stock Market Value
ALVLF Stock | USD 0.07 0.01 14.25% |
Symbol | Big |
Big Ridge '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 Big Ridge'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 Big Ridge.
11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Big Ridge on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Big Ridge Gold or generate 0.0% return on investment in Big Ridge over 30 days. Big Ridge is related to or competes with Harmony Gold, SPACE, T Rowe, Ampleforth, Ionet, SEI Investments, and Embecta Corp. Big Ridge Gold Corp. owns and operates gold exploration projects in Canada More
Big Ridge 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 Big Ridge'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 Big Ridge Gold upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 13.56 | |||
Information Ratio | 0.1528 | |||
Maximum Drawdown | 45.0 | |||
Value At Risk | (12.50) | |||
Potential Upside | 16.67 |
Big Ridge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Big Ridge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Big Ridge's standard deviation. In reality, there are many statistical measures that can use Big Ridge historical prices to predict the future Big Ridge's volatility.Risk Adjusted Performance | 0.1361 | |||
Jensen Alpha | 1.44 | |||
Total Risk Alpha | 0.2476 | |||
Sortino Ratio | 0.0936 | |||
Treynor Ratio | (2.18) |
Big Ridge Gold Backtested Returns
Big Ridge is out of control given 3 months investment horizon. Big Ridge Gold secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15% return per unit of standard deviation over the last 3 months. We were able to break down and interpolate twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.12% are justified by taking the suggested risk. Use Big Ridge mean deviation of 5.05, and Risk Adjusted Performance of 0.1361 to evaluate company specific risk that cannot be diversified away. Big Ridge holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -0.63, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Big Ridge are expected to decrease at a much lower rate. During the bear market, Big Ridge is likely to outperform the market. Use Big Ridge downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to analyze future returns on Big Ridge.
Auto-correlation | -0.26 |
Weak reverse predictability
Big Ridge Gold has weak reverse predictability. Overlapping area represents the amount of predictability between Big Ridge time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Big Ridge Gold price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Big Ridge price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.26 | |
Spearman Rank Test | -0.27 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Big Ridge Gold lagged returns against current returns
Autocorrelation, which is Big Ridge 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 Big Ridge's otc stock expected returns. We can calculate the autocorrelation of Big Ridge returns to help us make a trade decision. For example, suppose you find that Big Ridge 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 |
Big Ridge 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 Big Ridge otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Big Ridge otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Big Ridge otc stock over time.
Current vs Lagged Prices |
Timeline |
Big Ridge Lagged Returns
When evaluating Big Ridge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Big Ridge otc stock have on its future price. Big Ridge 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, Big Ridge autocorrelation shows the relationship between Big Ridge otc stock current value and its past values and can show if there is a momentum factor associated with investing in Big Ridge Gold.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Big OTC Stock
Big Ridge financial ratios help investors to determine whether Big 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 Big with respect to the benefits of owning Big Ridge security.