High Arctic Energy Stock Market Value
| HWO Stock | CAD 0.90 0.05 5.88% |
| Symbol | High |
High Arctic '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 High Arctic'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 High Arctic.
| 04/27/2025 |
| 07/26/2025 |
If you would invest 0.00 in High Arctic on April 27, 2025 and sell it all today you would earn a total of 0.00 from holding High Arctic Energy or generate 0.0% return on investment in High Arctic over 90 days. High Arctic is related to or competes with High Arctic, Bri Chem, Mccoy Global, CES Energy, Total Energy, PHX Energy, and ACT Energy. High Arctic Energy Services Inc. provides oilfield services in Canada, Papua New Guinea, and the United States More
High Arctic 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 High Arctic'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 High Arctic Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 17.26 | |||
| Value At Risk | (6.19) | |||
| Potential Upside | 5.13 |
High Arctic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for High Arctic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as High Arctic's standard deviation. In reality, there are many statistical measures that can use High Arctic historical prices to predict the future High Arctic's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.90) | |||
| Treynor Ratio | (0.57) |
High Arctic Energy Backtested Returns
High Arctic Energy holds Efficiency (Sharpe) Ratio of -0.0217, which attests that the entity had a -0.0217 % return per unit of risk over the last 3 months. High Arctic Energy exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out High Arctic's Risk Adjusted Performance of (0.01), market risk adjusted performance of (0.56), and Standard Deviation of 3.18 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.14, which attests to not very significant fluctuations relative to the market. As returns on the market increase, High Arctic's returns are expected to increase less than the market. However, during the bear market, the loss of holding High Arctic is expected to be smaller as well. At this point, High Arctic Energy has a negative expected return of -0.0688%. Please make sure to check out High Arctic's total risk alpha and the relationship between the skewness and relative strength index , to decide if High Arctic Energy performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.32 |
Poor reverse predictability
High Arctic Energy has poor reverse predictability. Overlapping area represents the amount of predictability between High Arctic time series from 27th of April 2025 to 11th of June 2025 and 11th of June 2025 to 26th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of High Arctic Energy price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current High Arctic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
High Arctic Energy lagged returns against current returns
Autocorrelation, which is High Arctic 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 High Arctic's stock expected returns. We can calculate the autocorrelation of High Arctic returns to help us make a trade decision. For example, suppose you find that High Arctic 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 |
High Arctic 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 High Arctic stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if High Arctic stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in High Arctic stock over time.
Current vs Lagged Prices |
| Timeline |
High Arctic Lagged Returns
When evaluating High Arctic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of High Arctic stock have on its future price. High Arctic 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, High Arctic autocorrelation shows the relationship between High Arctic stock current value and its past values and can show if there is a momentum factor associated with investing in High Arctic Energy.
Regressed Prices |
| Timeline |
Pair Trading with High Arctic
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 High Arctic 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 High Arctic will appreciate offsetting losses from the drop in the long position's value.Moving against High Stock
| 0.61 | DFN-PA | Dividend 15 Split | PairCorr |
| 0.48 | DFR | Diamond Fields Resources | PairCorr |
| 0.38 | ENS-PA | E Split Corp | PairCorr |
| 0.35 | WEF | Western Forest Products Split | PairCorr |
The ability to find closely correlated positions to High Arctic could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace High Arctic 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 High Arctic - 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 High Arctic Energy to buy it.
The correlation of High Arctic 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 High Arctic moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if High Arctic Energy 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 High Arctic 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.Other Information on Investing in High Stock
High Arctic financial ratios help investors to determine whether High 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 High with respect to the benefits of owning High Arctic security.