Power Of Stock Market Value
| PWCDF Stock | USD 32.57 0.11 0.34% |
| Symbol | Power |
Power Of '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 Power Of'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 Power Of.
| 11/14/2024 |
| 12/14/2024 |
If you would invest 0.00 in Power Of on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding Power of or generate 0.0% return on investment in Power Of over 30 days. Power Of is related to or competes with Manulife Financial, Manulife Financial, Ping An, Prudential PLC, FG Annuities, MetLife Preferred, and Brighthouse Financial. Power Corporation of Canada operates as an international management and holding company in North America, Europe, and As... More
Power Of 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 Power Of'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 Power of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.0046 | |||
| Maximum Drawdown | 6.13 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.58 |
Power Of Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Of's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Of's standard deviation. In reality, there are many statistical measures that can use Power Of historical prices to predict the future Power Of's volatility.| Risk Adjusted Performance | 0.0823 | |||
| Jensen Alpha | 0.0614 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0038 | |||
| Treynor Ratio | 0.2571 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Of'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.
Power Of Backtested Returns
At this point, Power Of is very steady. Power Of maintains Sharpe Ratio (i.e., Efficiency) of 0.0978, which implies the firm had a 0.0978% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Power Of, which you can use to evaluate the volatility of the company. Please check Power Of's Semi Deviation of 1.02, coefficient of variation of 907.0, and Risk Adjusted Performance of 0.0823 to confirm if the risk estimate we provide is consistent with the expected return of 0.094%. Power Of has a performance score of 7 on a scale of 0 to 100. The company holds a Beta of 0.37, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Power Of's returns are expected to increase less than the market. However, during the bear market, the loss of holding Power Of is expected to be smaller as well. Power Of right now holds a risk of 0.96%. Please check Power Of potential upside, accumulation distribution, period momentum indicator, as well as the relationship between the expected short fall and day median price , to decide if Power Of will be following its historical price patterns.
Auto-correlation | -0.56 |
Good reverse predictability
Power of has good reverse predictability. Overlapping area represents the amount of predictability between Power Of time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 Power Of price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current Power Of price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
Power Of lagged returns against current returns
Autocorrelation, which is Power Of 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 Power Of's pink sheet expected returns. We can calculate the autocorrelation of Power Of returns to help us make a trade decision. For example, suppose you find that Power Of 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 |
Power Of 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 Power Of pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Of pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Power Of pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Power Of Lagged Returns
When evaluating Power Of's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Of pink sheet have on its future price. Power Of 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, Power Of autocorrelation shows the relationship between Power Of pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Power of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Power Pink Sheet
Power Of financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power Of security.