Power Assets (Germany) Market Value
| HEH Stock | EUR 6.25 0.05 0.79% |
| Symbol | Power |
Power Assets '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 Assets' 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 Power Assets.
| 11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in Power Assets on November 15, 2024 and sell it all today you would earn a total of 0.00 from holding Power Assets Holdings or generate 0.0% return on investment in Power Assets over 30 days. Power Assets is related to or competes with AIR PRODCHEMICALS, Transportadora, Gaztransport Technigaz, COPLAND ROAD, Nissan Chemical, Gold Road, and Eastman Chemical. Power Assets Holdings Limited, an investment holding company, generates, transmits, and distributes electricity in Hong ... More
Power Assets 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 Assets' 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 Power Assets Holdings upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.86 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.63 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 2.48 |
Power Assets Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Assets' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Assets' standard deviation. In reality, there are many statistical measures that can use Power Assets historical prices to predict the future Power Assets' volatility.| Risk Adjusted Performance | 0.0289 | |||
| Jensen Alpha | 0.049 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.26) |
Power Assets Holdings Backtested Returns
At this point, Power Assets is somewhat reliable. Power Assets Holdings maintains Sharpe Ratio (i.e., Efficiency) of 0.0244, which implies the firm had a 0.0244% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Power Assets Holdings, which you can use to evaluate the volatility of the company. Please check Power Assets' Semi Deviation of 1.25, risk adjusted performance of 0.0289, and Coefficient Of Variation of 3012.8 to confirm if the risk estimate we provide is consistent with the expected return of 0.0341%. Power Assets has a performance score of 1 on a scale of 0 to 100. The company holds a Beta of -0.14, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Power Assets are expected to decrease at a much lower rate. During the bear market, Power Assets is likely to outperform the market. Power Assets Holdings right now holds a risk of 1.4%. Please check Power Assets Holdings treynor ratio, value at risk, downside variance, as well as the relationship between the maximum drawdown and potential upside , to decide if Power Assets Holdings will be following its historical price patterns.
Auto-correlation | 0.29 |
Poor predictability
Power Assets Holdings has poor predictability. Overlapping area represents the amount of predictability between Power Assets time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th 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 Assets Holdings price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Power Assets price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Power Assets Holdings lagged returns against current returns
Autocorrelation, which is Power Assets 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 Power Assets' stock expected returns. We can calculate the autocorrelation of Power Assets returns to help us make a trade decision. For example, suppose you find that Power Assets 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 |
Power Assets 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 Assets stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Assets stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Power Assets stock over time.
Current vs Lagged Prices |
| Timeline |
Power Assets Lagged Returns
When evaluating Power Assets' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Assets stock have on its future price. Power Assets 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 Assets autocorrelation shows the relationship between Power Assets stock current value and its past values and can show if there is a momentum factor associated with investing in Power Assets Holdings.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Power Stock
Power Assets financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power Assets security.