Power Wind (Taiwan) Market Value
| 8462 Stock | 117.00 0.50 0.43% |
| Symbol | Power |
Power Wind '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 Wind'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 Power Wind.
| 07/20/2023 |
| 12/11/2024 |
If you would invest 0.00 in Power Wind on July 20, 2023 and sell it all today you would earn a total of 0.00 from holding Power Wind Health or generate 0.0% return on investment in Power Wind over 510 days. Power Wind is related to or competes with Feng Tay, Pou Chen, Taiwan Paiho, Ruentex Development, WiseChip Semiconductor, Novatek Microelectronics, and Leader Electronics. More
Power Wind 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 Wind'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 Power Wind Health upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.30) | |||
| Maximum Drawdown | 5.71 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 1.76 |
Power Wind Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Wind's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Wind's standard deviation. In reality, there are many statistical measures that can use Power Wind historical prices to predict the future Power Wind's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.49) | |||
| Treynor Ratio | 2.82 |
Power Wind Health Backtested Returns
Power Wind Health maintains Sharpe Ratio (i.e., Efficiency) of -0.23, which implies the firm had a -0.23% return per unit of risk over the last 3 months. Power Wind Health exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Power Wind's Coefficient Of Variation of (491.45), variance of 1.74, and Risk Adjusted Performance of (0.14) to confirm the risk estimate we provide. The company holds a Beta of -0.0986, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Power Wind are expected to decrease at a much lower rate. During the bear market, Power Wind is likely to outperform the market. At this point, Power Wind Health has a negative expected return of -0.3%. Please make sure to check Power Wind's potential upside, kurtosis, and the relationship between the maximum drawdown and skewness , to decide if Power Wind Health performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.28 |
Weak reverse predictability
Power Wind Health has weak reverse predictability. Overlapping area represents the amount of predictability between Power Wind time series from 20th of July 2023 to 31st of March 2024 and 31st of March 2024 to 11th 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 Wind Health price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Power Wind price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 65.85 |
Power Wind Health lagged returns against current returns
Autocorrelation, which is Power Wind 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 Wind's stock expected returns. We can calculate the autocorrelation of Power Wind returns to help us make a trade decision. For example, suppose you find that Power Wind 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 Wind 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 Wind stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Wind stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Power Wind stock over time.
Current vs Lagged Prices |
| Timeline |
Power Wind Lagged Returns
When evaluating Power Wind's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Wind stock have on its future price. Power Wind 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 Wind autocorrelation shows the relationship between Power Wind stock current value and its past values and can show if there is a momentum factor associated with investing in Power Wind Health.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Power Stock Analysis
When running Power Wind's price analysis, check to measure Power Wind's 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 Wind is operating at the current time. Most of Power Wind's value examination focuses on studying past and present price action to predict the probability of Power Wind's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Wind's price. Additionally, you may evaluate how the addition of Power Wind to your portfolios can decrease your overall portfolio volatility.