Horizons Pipelines Energy Etf Market Value
| HOG Etf | CAD 10.84 0.03 0.28% |
| Symbol | Horizons |
Horizons Pipelines '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 Horizons Pipelines' etf 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 Horizons Pipelines.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Horizons Pipelines on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Horizons Pipelines Energy or generate 0.0% return on investment in Horizons Pipelines over 30 days. Horizons Pipelines is related to or competes with Real Estate, and Global Dividend. Horizons HOG seeks to replicate, to the extent possible, the performance of the Solactive Canadian Midstream Oil Gas Ind... More
Horizons Pipelines 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 Horizons Pipelines' etf 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 Horizons Pipelines Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.708 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.22 | |||
| Value At Risk | (0.94) | |||
| Potential Upside | 1.16 |
Horizons Pipelines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Horizons Pipelines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Horizons Pipelines' standard deviation. In reality, there are many statistical measures that can use Horizons Pipelines historical prices to predict the future Horizons Pipelines' volatility.| Risk Adjusted Performance | 0.0565 | |||
| Jensen Alpha | 0.0015 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0882 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Horizons Pipelines' 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.
Horizons Pipelines Energy Backtested Returns
We consider Horizons Pipelines very steady. Horizons Pipelines Energy holds Efficiency (Sharpe) Ratio of 0.0199, which attests that the entity had a 0.0199% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Horizons Pipelines Energy, which you can use to evaluate the volatility of the entity. Please check out Horizons Pipelines' Market Risk Adjusted Performance of 0.0982, risk adjusted performance of 0.0565, and Downside Deviation of 0.708 to validate if the risk estimate we provide is consistent with the expected return of 0.0123%. The etf retains a Market Volatility (i.e., Beta) of 0.54, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Horizons Pipelines' returns are expected to increase less than the market. However, during the bear market, the loss of holding Horizons Pipelines is expected to be smaller as well.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Horizons Pipelines Energy has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Horizons Pipelines time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Horizons Pipelines Energy price movement. The serial correlation of -0.72 indicates that around 72.0% of current Horizons Pipelines price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Horizons Pipelines Energy lagged returns against current returns
Autocorrelation, which is Horizons Pipelines etf'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 Horizons Pipelines' etf expected returns. We can calculate the autocorrelation of Horizons Pipelines returns to help us make a trade decision. For example, suppose you find that Horizons Pipelines has exhibited high autocorrelation historically, and you observe that the etf 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 |
Horizons Pipelines 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 Horizons Pipelines etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Horizons Pipelines etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Horizons Pipelines etf over time.
Current vs Lagged Prices |
| Timeline |
Horizons Pipelines Lagged Returns
When evaluating Horizons Pipelines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Horizons Pipelines etf have on its future price. Horizons Pipelines 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, Horizons Pipelines autocorrelation shows the relationship between Horizons Pipelines etf current value and its past values and can show if there is a momentum factor associated with investing in Horizons Pipelines Energy.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Horizons Pipelines Correlation, Horizons Pipelines Volatility and Horizons Pipelines Alpha and Beta module to complement your research on Horizons Pipelines. Note that the Horizons Pipelines Energy information on this page should be used as a complementary analysis to other Horizons Pipelines' 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Horizons Pipelines technical etf 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, etf market cycles, or different charting patterns.