Wisa Technologies Stock Market Value
| WISA Stock | USD 1.64 0.02 1.23% |
| Symbol | WiSA |
WiSA Technologies Price To Book Ratio
Is Semiconductors & Semiconductor Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of WiSA Technologies. If investors know WiSA will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about WiSA Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share -1.3 K | Revenue Per Share 1.648 | Quarterly Revenue Growth (0.19) | Return On Assets (1.31) | Return On Equity (8.53) |
The market value of WiSA Technologies is measured differently than its book value, which is the value of WiSA that is recorded on the company's balance sheet. Investors also form their own opinion of WiSA Technologies' value that differs from its market value or its book value, called intrinsic value, which is WiSA Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because WiSA Technologies' market value can be influenced by many factors that don't directly affect WiSA Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between WiSA Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if WiSA Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WiSA Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
WiSA Technologies '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 WiSA Technologies' 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 WiSA Technologies.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in WiSA Technologies on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding WiSA Technologies or generate 0.0% return on investment in WiSA Technologies over 30 days. WiSA Technologies is related to or competes with NXP Semiconductors, GSI Technology, MaxLinear, and Texas Instruments. WiSA Technologies, Inc. develops, manufactures, and sells audio wireless technology for smart devices and next-generatio... More
WiSA Technologies 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 WiSA Technologies' 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 WiSA Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.04 | |||
| Information Ratio | 0.0537 | |||
| Maximum Drawdown | 141.34 | |||
| Value At Risk | (10.53) | |||
| Potential Upside | 8.6 |
WiSA Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WiSA Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WiSA Technologies' standard deviation. In reality, there are many statistical measures that can use WiSA Technologies historical prices to predict the future WiSA Technologies' volatility.| Risk Adjusted Performance | 0.0569 | |||
| Jensen Alpha | 1.18 | |||
| Total Risk Alpha | (1.76) | |||
| Sortino Ratio | 0.127 | |||
| Treynor Ratio | (0.81) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WiSA Technologies' 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.
WiSA Technologies Backtested Returns
WiSA Technologies is abnormally volatile given 3 months investment horizon. WiSA Technologies shows Sharpe Ratio of 0.0691, which attests that the company had a 0.0691% return per unit of risk over the last 3 months. We are able to interpolate and collect twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.16% are justified by taking the suggested risk. Use WiSA Technologies Mean Deviation of 6.7, market risk adjusted performance of (0.80), and Downside Deviation of 7.04 to evaluate company specific risk that cannot be diversified away. WiSA Technologies holds a performance score of 5 on a scale of zero to a hundred. The firm maintains a market beta of -1.26, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning WiSA Technologies are expected to decrease by larger amounts. On the other hand, during market turmoil, WiSA Technologies is expected to outperform it. Use WiSA Technologies skewness, and the relationship between the potential upside and rate of daily change , to analyze future returns on WiSA Technologies.
Auto-correlation | -0.27 |
Weak reverse predictability
WiSA Technologies has weak reverse predictability. Overlapping area represents the amount of predictability between WiSA Technologies time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 WiSA Technologies price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current WiSA Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
WiSA Technologies lagged returns against current returns
Autocorrelation, which is WiSA Technologies 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 WiSA Technologies' stock expected returns. We can calculate the autocorrelation of WiSA Technologies returns to help us make a trade decision. For example, suppose you find that WiSA Technologies 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 |
WiSA Technologies 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 WiSA Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WiSA Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WiSA Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
WiSA Technologies Lagged Returns
When evaluating WiSA Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WiSA Technologies stock have on its future price. WiSA Technologies 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, WiSA Technologies autocorrelation shows the relationship between WiSA Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in WiSA Technologies.
Regressed Prices |
| Timeline |
Also Currently Popular
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.When determining whether WiSA Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of WiSA Technologies' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Wisa Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Wisa Technologies Stock:Check out WiSA Technologies Correlation, WiSA Technologies Volatility and WiSA Technologies Alpha and Beta module to complement your research on WiSA Technologies. For information on how to trade WiSA Stock refer to our How to Trade WiSA Stock guide.You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
WiSA Technologies technical stock 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, stock market cycles, or different charting patterns.