Sustainable Power Infrastructure Stock Market Value
| PWI Stock | 9.05 0.04 0.44% |
| Symbol | Sustainable |
Sustainable Power Price To Book Ratio
Sustainable Power '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 Sustainable Power'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 Sustainable Power.
| 01/03/2025 |
| 02/02/2025 |
If you would invest 0.00 in Sustainable Power on January 3, 2025 and sell it all today you would earn a total of 0.00 from holding Sustainable Power Infrastructure or generate 0.0% return on investment in Sustainable Power over 30 days. Sustainable Power is related to or competes with Global Dividend, Real Estate, Brompton Split, Life Banc, and Dividend Select. Sustainable Power is entity of Canada. It is traded as Stock on TO exchange. More
Sustainable Power 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 Sustainable Power'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 Sustainable Power Infrastructure upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 9.48 | |||
| Value At Risk | (3.19) | |||
| Potential Upside | 2.42 |
Sustainable Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sustainable Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sustainable Power's standard deviation. In reality, there are many statistical measures that can use Sustainable Power historical prices to predict the future Sustainable Power's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.21) |
Sustainable Power Backtested Returns
Sustainable Power owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0221, which indicates the firm had a -0.0221 % return per unit of risk over the last 3 months. Sustainable Power Infrastructure exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sustainable Power's Variance of 2.98, risk adjusted performance of (0.04), and Coefficient Of Variation of (1,762) to confirm the risk estimate we provide. The entity has a beta of 0.51, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sustainable Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sustainable Power is expected to be smaller as well. At this point, Sustainable Power has a negative expected return of -0.0385%. Please make sure to validate Sustainable Power's kurtosis, as well as the relationship between the day median price and period momentum indicator , to decide if Sustainable Power performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.21 |
Weak reverse predictability
Sustainable Power Infrastructure has weak reverse predictability. Overlapping area represents the amount of predictability between Sustainable Power time series from 3rd of January 2025 to 18th of January 2025 and 18th of January 2025 to 2nd of February 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 Sustainable Power price movement. The serial correlation of -0.21 indicates that over 21.0% of current Sustainable Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Sustainable Power lagged returns against current returns
Autocorrelation, which is Sustainable Power 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 Sustainable Power's stock expected returns. We can calculate the autocorrelation of Sustainable Power returns to help us make a trade decision. For example, suppose you find that Sustainable Power 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 |
Sustainable Power 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 Sustainable Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sustainable Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sustainable Power stock over time.
Current vs Lagged Prices |
| Timeline |
Sustainable Power Lagged Returns
When evaluating Sustainable Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sustainable Power stock have on its future price. Sustainable Power 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, Sustainable Power autocorrelation shows the relationship between Sustainable Power stock current value and its past values and can show if there is a momentum factor associated with investing in Sustainable Power Infrastructure.
Regressed Prices |
| Timeline |
Pair Trading with Sustainable Power
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 Sustainable Power 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 Sustainable Power will appreciate offsetting losses from the drop in the long position's value.Moving against Sustainable Stock
| 0.65 | STC | Sangoma Technologies Corp Earnings Call This Week | PairCorr |
| 0.64 | RY-PM | Royal Bank | PairCorr |
| 0.58 | PPL-PA | Pembina Pipeline Corp | PairCorr |
| 0.56 | TD-PFD | Toronto Dominion Bank | PairCorr |
| 0.38 | SPRX | Sparx Technology | PairCorr |
The ability to find closely correlated positions to Sustainable Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sustainable Power 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 Sustainable Power - 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 Sustainable Power Infrastructure to buy it.
The correlation of Sustainable Power 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 Sustainable Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sustainable Power 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 Sustainable Power 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 Sustainable Stock
Sustainable Power financial ratios help investors to determine whether Sustainable 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 Sustainable with respect to the benefits of owning Sustainable Power security.