AzureWave Technologies (Taiwan) Market Value
| 3694 Stock | TWD 53.90 2.60 5.07% |
| Symbol | AzureWave |
AzureWave 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 AzureWave 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 AzureWave Technologies.
| 11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in AzureWave Technologies on November 13, 2024 and sell it all today you would earn a total of 0.00 from holding AzureWave Technologies or generate 0.0% return on investment in AzureWave Technologies over 30 days. AzureWave Technologies is related to or competes with AU Optronics, Innolux Corp, Ruentex Development, WiseChip Semiconductor, Novatek Microelectronics, Leader Electronics, and Information Technology. AzureWave Technologies, Inc. manufactures and sells wireless connectivity and image processing solutions worldwide More
AzureWave 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 AzureWave 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 AzureWave Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.25 | |||
| Information Ratio | 0.128 | |||
| Maximum Drawdown | 14.47 | |||
| Value At Risk | (3.24) | |||
| Potential Upside | 6.9 |
AzureWave Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AzureWave Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AzureWave Technologies' standard deviation. In reality, there are many statistical measures that can use AzureWave Technologies historical prices to predict the future AzureWave Technologies' volatility.| Risk Adjusted Performance | 0.1283 | |||
| Jensen Alpha | 0.4741 | |||
| Total Risk Alpha | 0.0664 | |||
| Sortino Ratio | 0.1666 | |||
| Treynor Ratio | 20.71 |
AzureWave Technologies Backtested Returns
AzureWave Technologies appears to be very steady, given 3 months investment horizon. AzureWave Technologies secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for AzureWave Technologies, which you can use to evaluate the volatility of the firm. Please makes use of AzureWave Technologies' Downside Deviation of 2.25, mean deviation of 2.08, and Risk Adjusted Performance of 0.1283 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AzureWave Technologies holds a performance score of 12. The firm shows a Beta (market volatility) of 0.023, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AzureWave Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding AzureWave Technologies is expected to be smaller as well. Please check AzureWave Technologies' total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether AzureWave Technologies' price patterns will revert.
Auto-correlation | 0.69 |
Good predictability
AzureWave Technologies has good predictability. Overlapping area represents the amount of predictability between AzureWave Technologies time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th 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 AzureWave Technologies price movement. The serial correlation of 0.69 indicates that around 69.0% of current AzureWave Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 15.52 |
AzureWave Technologies lagged returns against current returns
Autocorrelation, which is AzureWave 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 AzureWave Technologies' stock expected returns. We can calculate the autocorrelation of AzureWave Technologies returns to help us make a trade decision. For example, suppose you find that AzureWave 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 |
AzureWave 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 AzureWave Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AzureWave Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AzureWave Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
AzureWave Technologies Lagged Returns
When evaluating AzureWave Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AzureWave Technologies stock have on its future price. AzureWave 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, AzureWave Technologies autocorrelation shows the relationship between AzureWave Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in AzureWave 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.Additional Tools for AzureWave Stock Analysis
When running AzureWave Technologies' price analysis, check to measure AzureWave Technologies' 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 AzureWave Technologies is operating at the current time. Most of AzureWave Technologies' value examination focuses on studying past and present price action to predict the probability of AzureWave Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AzureWave Technologies' price. Additionally, you may evaluate how the addition of AzureWave Technologies to your portfolios can decrease your overall portfolio volatility.