Wireless Power (Korea) Market Value
| 332570 Stock | KRW 2,150 90.00 4.02% |
| Symbol | Wireless |
Wireless 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 Wireless 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 Wireless Power.
| 12/05/2022 |
| 11/24/2024 |
If you would invest 0.00 in Wireless Power on December 5, 2022 and sell it all today you would earn a total of 0.00 from holding Wireless Power Amplifier or generate 0.0% return on investment in Wireless Power over 720 days. Wireless Power is related to or competes with Shinhan Inverse, Pureun Mutual, Korean Reinsurance, Lotte Non, Daedong Metals, Dgb Financial, and Incar Financial. WiPAM Inc. supplies power amplifier modules for low power consumption mobile systems More
Wireless 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 Wireless 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 Wireless Power Amplifier upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 9.78 | |||
| Value At Risk | (3.93) | |||
| Potential Upside | 3.62 |
Wireless Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wireless Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wireless Power's standard deviation. In reality, there are many statistical measures that can use Wireless Power historical prices to predict the future Wireless Power's volatility.| Risk Adjusted Performance | (0.16) | |||
| Jensen Alpha | (0.52) | |||
| Total Risk Alpha | (0.79) | |||
| Treynor Ratio | (1.25) |
Wireless Power Amplifier Backtested Returns
Wireless Power Amplifier shows Sharpe Ratio of -0.18, which attests that the company had a -0.18% return per unit of risk over the last 3 months. Wireless Power Amplifier exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Wireless Power's Standard Deviation of 2.06, market risk adjusted performance of (1.24), and Mean Deviation of 1.57 to validate the risk estimate we provide. The firm maintains a market beta of 0.38, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Wireless Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Wireless Power is expected to be smaller as well. At this point, Wireless Power Amplifier has a negative expected return of -0.35%. Please make sure to check out Wireless Power's jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if Wireless Power Amplifier performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.25 |
Poor predictability
Wireless Power Amplifier has poor predictability. Overlapping area represents the amount of predictability between Wireless Power time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 to 24th of November 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 Wireless Power Amplifier price movement. The serial correlation of 0.25 indicates that over 25.0% of current Wireless Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 134.8 K |
Wireless Power Amplifier lagged returns against current returns
Autocorrelation, which is Wireless 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 Wireless Power's stock expected returns. We can calculate the autocorrelation of Wireless Power returns to help us make a trade decision. For example, suppose you find that Wireless 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 |
Wireless 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 Wireless Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wireless Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wireless Power stock over time.
Current vs Lagged Prices |
| Timeline |
Wireless Power Lagged Returns
When evaluating Wireless Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wireless Power stock have on its future price. Wireless 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, Wireless Power autocorrelation shows the relationship between Wireless Power stock current value and its past values and can show if there is a momentum factor associated with investing in Wireless Power Amplifier.
Regressed Prices |
| Timeline |
Pair Trading with Wireless 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 Wireless 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 Wireless Power will appreciate offsetting losses from the drop in the long position's value.Moving together with Wireless Stock
The ability to find closely correlated positions to Wireless 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 Wireless 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 Wireless 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 Wireless Power Amplifier to buy it.
The correlation of Wireless 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 Wireless Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Wireless Power Amplifier 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 Wireless 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 Wireless Stock
Wireless Power financial ratios help investors to determine whether Wireless 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 Wireless with respect to the benefits of owning Wireless Power security.