Pine Cliff Energy Stock Market Value
| PIFYF Stock | USD 0.63 0.03 5.00% |
| Symbol | Pine |
Pine Cliff '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 Pine Cliff'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 Pine Cliff.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Pine Cliff on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Pine Cliff Energy or generate 0.0% return on investment in Pine Cliff over 720 days. Pine Cliff is related to or competes with Athabasca Oil, Cardinal Energy, Tamarack Valley, Saturn Oil, MEG Energy, PetroTal Corp, and Gulf Keystone. Pine Cliff Energy Ltd. engages in the acquisition, exploration, development, and production of natural gas and oil in th... More
Pine Cliff 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 Pine Cliff'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 Pine Cliff Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 18.32 | |||
| Value At Risk | (4.05) | |||
| Potential Upside | 5.0 |
Pine Cliff Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pine Cliff's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pine Cliff's standard deviation. In reality, there are many statistical measures that can use Pine Cliff historical prices to predict the future Pine Cliff's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.58) | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pine Cliff'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.
Pine Cliff Energy Backtested Returns
Pine Cliff Energy maintains Sharpe Ratio (i.e., Efficiency) of -0.016, which implies the firm had a -0.016% return per unit of risk over the last 3 months. Pine Cliff Energy exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pine Cliff's Variance of 9.64, insignificant risk adjusted performance, and Coefficient Of Variation of (6,232) to confirm the risk estimate we provide. The company holds a Beta of 0.5, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pine Cliff's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pine Cliff is expected to be smaller as well. At this point, Pine Cliff Energy has a negative expected return of -0.0498%. Please make sure to check Pine Cliff's skewness, as well as the relationship between the day median price and relative strength index , to decide if Pine Cliff Energy performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Pine Cliff Energy has insignificant reverse predictability. Overlapping area represents the amount of predictability between Pine Cliff time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 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 Pine Cliff Energy price movement. The serial correlation of -0.18 indicates that over 18.0% of current Pine Cliff price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Pine Cliff Energy lagged returns against current returns
Autocorrelation, which is Pine Cliff 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 Pine Cliff's pink sheet expected returns. We can calculate the autocorrelation of Pine Cliff returns to help us make a trade decision. For example, suppose you find that Pine Cliff 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 |
Pine Cliff 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 Pine Cliff pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pine Cliff pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pine Cliff pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Pine Cliff Lagged Returns
When evaluating Pine Cliff's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pine Cliff pink sheet have on its future price. Pine Cliff 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, Pine Cliff autocorrelation shows the relationship between Pine Cliff pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Pine Cliff Energy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Pine Pink Sheet
Pine Cliff financial ratios help investors to determine whether Pine Pink Sheet 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 Pine with respect to the benefits of owning Pine Cliff security.