Power Assets Holdings Stock Market Value
| HGKGY Stock | USD 5.70 0.02 0.35% |
| 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' 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 Assets.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Power Assets on April 2, 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 Atlantica Sustainable, Brookfield Renewable, Nextera Energy, Brookfield Renewable, Clearway Energy, Algonquin Power, and Orsted AS. 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' 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 Assets Holdings upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 9.39 | |||
| Value At Risk | (4.28) | |||
| Potential Upside | 3.65 |
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) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (0.90) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Assets' 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 Assets Holdings Backtested Returns
Power Assets Holdings maintains Sharpe Ratio (i.e., Efficiency) of -0.0173, which implies the firm had a -0.0173% return per unit of risk over the last 3 months. Power Assets Holdings exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Power Assets' Variance of 5.46, coefficient of variation of (6,543), and Risk Adjusted Performance of (0) to confirm the risk estimate we provide. The company holds a Beta of 0.0506, which implies not very significant fluctuations relative to the market. As returns on the market increase, Power Assets' returns are expected to increase less than the market. However, during the bear market, the loss of holding Power Assets is expected to be smaller as well. Power Assets Holdings has an expected return of -0.0413%. Please make sure to check Power Assets Holdings maximum drawdown and rate of daily change , to decide if Power Assets Holdings performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.09 |
Very weak reverse predictability
Power Assets Holdings has very weak reverse predictability. Overlapping area represents the amount of predictability between Power Assets time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd of May 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 -0.09 indicates that less than 9.0% of current Power Assets price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Power Assets Holdings lagged returns against current returns
Autocorrelation, which is Power Assets 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 Assets' pink sheet 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 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 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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Assets 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 Assets pink sheet 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 pink sheet 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 pink sheet 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 |
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Complementary Tools for Power Pink Sheet analysis
When running Power Assets' price analysis, check to measure Power Assets' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Power Assets is operating at the current time. Most of Power Assets' value examination focuses on studying past and present price action to predict the probability of Power Assets' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Assets' price. Additionally, you may evaluate how the addition of Power Assets to your portfolios can decrease your overall portfolio volatility.
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Power Assets technical pink sheet 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, pink sheet market cycles, or different charting patterns.