Daybreak Oil And Stock Market Value
DBRM Stock | USD 0.0003 0.0002 200.00% |
Symbol | Daybreak |
Daybreak Oil '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 Daybreak Oil'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 Daybreak Oil.
12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Daybreak Oil on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Daybreak Oil and or generate 0.0% return on investment in Daybreak Oil over 720 days. Daybreak Oil is related to or competes with Barrister Energy, Altura Energy, and Arrow Exploration. Daybreak Oil and Gas, Inc. engages in the exploration, development, and production of crude oil and natural gas in the U... More
Daybreak Oil 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 Daybreak Oil'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 Daybreak Oil and upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0838 | |||
Maximum Drawdown | 50.0 |
Daybreak Oil Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Daybreak Oil's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Daybreak Oil's standard deviation. In reality, there are many statistical measures that can use Daybreak Oil historical prices to predict the future Daybreak Oil's volatility.Risk Adjusted Performance | 0.0779 | |||
Jensen Alpha | 2.5 | |||
Total Risk Alpha | (1.99) | |||
Treynor Ratio | (1.21) |
Daybreak Oil Backtested Returns
Daybreak Oil is out of control given 3 months investment horizon. Daybreak Oil secures Sharpe Ratio (or Efficiency) of 0.0906, which denotes the company had a 0.0906% return per unit of risk over the last 3 months. We were able to interpolate data for nineteen different technical indicators, which can help you to evaluate if expected returns of 2.34% are justified by taking the suggested risk. Use Daybreak Oil Variance of 648.6, standard deviation of 25.47, and Mean Deviation of 5.99 to evaluate company specific risk that cannot be diversified away. Daybreak Oil holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -1.87, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Daybreak Oil are expected to decrease by larger amounts. On the other hand, during market turmoil, Daybreak Oil is expected to outperform it. Use Daybreak Oil information ratio, as well as the relationship between the daily balance of power and period momentum indicator , to analyze future returns on Daybreak Oil.
Auto-correlation | 0.22 |
Weak predictability
Daybreak Oil and has weak predictability. Overlapping area represents the amount of predictability between Daybreak Oil 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 Daybreak Oil price movement. The serial correlation of 0.22 indicates that over 22.0% of current Daybreak Oil price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.22 | |
Spearman Rank Test | 0.1 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Daybreak Oil lagged returns against current returns
Autocorrelation, which is Daybreak Oil 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 Daybreak Oil's pink sheet expected returns. We can calculate the autocorrelation of Daybreak Oil returns to help us make a trade decision. For example, suppose you find that Daybreak Oil 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 |
Daybreak Oil 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 Daybreak Oil pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Daybreak Oil pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Daybreak Oil pink sheet over time.
Current vs Lagged Prices |
Timeline |
Daybreak Oil Lagged Returns
When evaluating Daybreak Oil's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Daybreak Oil pink sheet have on its future price. Daybreak Oil 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, Daybreak Oil autocorrelation shows the relationship between Daybreak Oil pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Daybreak Oil and.
Regressed Prices |
Timeline |
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Daybreak Oil financial ratios help investors to determine whether Daybreak 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 Daybreak with respect to the benefits of owning Daybreak Oil security.