Alpha Networks (Taiwan) Market Value
| 3380 Stock | TWD 38.05 0.50 1.30% |
| Symbol | Alpha |
Alpha Networks '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 Alpha Networks' 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 Alpha Networks.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Alpha Networks on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Alpha Networks or generate 0.0% return on investment in Alpha Networks over 30 days. Alpha Networks is related to or competes with Gemtek Technology, D Link, Accton Technology, Wistron NeWeb, and CyberTAN Technology. Alpha Networks Inc. designs, manufactures, and services networking products worldwide More
Alpha Networks 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 Alpha Networks' 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 Alpha Networks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.71 | |||
| Information Ratio | 0.046 | |||
| Maximum Drawdown | 8.29 | |||
| Value At Risk | (2.69) | |||
| Potential Upside | 4.17 |
Alpha Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Networks' standard deviation. In reality, there are many statistical measures that can use Alpha Networks historical prices to predict the future Alpha Networks' volatility.| Risk Adjusted Performance | 0.0877 | |||
| Jensen Alpha | 0.1641 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.056 | |||
| Treynor Ratio | 0.5178 |
Alpha Networks Backtested Returns
At this stage we consider Alpha Stock to be very steady. Alpha Networks secures Sharpe Ratio (or Efficiency) of 0.0708, which signifies that the company had a 0.0708% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Alpha Networks, which you can use to evaluate the volatility of the firm. Please confirm Alpha Networks' Mean Deviation of 1.6, downside deviation of 1.71, and Risk Adjusted Performance of 0.0877 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. Alpha Networks has a performance score of 5 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.41, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Alpha Networks' returns are expected to increase less than the market. However, during the bear market, the loss of holding Alpha Networks is expected to be smaller as well. Alpha Networks right now shows a risk of 2.08%. Please confirm Alpha Networks downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Alpha Networks will be following its price patterns.
Auto-correlation | 0.54 |
Modest predictability
Alpha Networks has modest predictability. Overlapping area represents the amount of predictability between Alpha Networks time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Alpha Networks price movement. The serial correlation of 0.54 indicates that about 54.0% of current Alpha Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 2.17 |
Alpha Networks lagged returns against current returns
Autocorrelation, which is Alpha Networks 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 Alpha Networks' stock expected returns. We can calculate the autocorrelation of Alpha Networks returns to help us make a trade decision. For example, suppose you find that Alpha Networks 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 |
Alpha Networks 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 Alpha Networks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Networks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Networks stock over time.
Current vs Lagged Prices |
| Timeline |
Alpha Networks Lagged Returns
When evaluating Alpha Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Networks stock have on its future price. Alpha Networks 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, Alpha Networks autocorrelation shows the relationship between Alpha Networks stock current value and its past values and can show if there is a momentum factor associated with investing in Alpha Networks.
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 Alpha Stock Analysis
When running Alpha Networks' price analysis, check to measure Alpha Networks' 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 Alpha Networks is operating at the current time. Most of Alpha Networks' value examination focuses on studying past and present price action to predict the probability of Alpha Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alpha Networks' price. Additionally, you may evaluate how the addition of Alpha Networks to your portfolios can decrease your overall portfolio volatility.