Alpha Networks (Taiwan) Market Value
| 3380 Stock | TWD 32.65 0.05 0.15% |
| 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.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Alpha Networks on April 6, 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.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 7.7 | |||
| Value At Risk | (3.28) | |||
| Potential Upside | 2.48 |
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 | (0.06) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (0.55) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alpha Networks' 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.
Alpha Networks Backtested Returns
Alpha Networks secures Sharpe Ratio (or Efficiency) of -0.18, which signifies that the company had a -0.18% return per unit of risk over the last 3 months. Alpha Networks exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alpha Networks' Mean Deviation of 1.13, risk adjusted performance of (0.06), and Standard Deviation of 1.52 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.31, 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 has an expected return of -0.25%. Please make sure to confirm Alpha Networks standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Alpha Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Alpha Networks has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Alpha Networks time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th of May 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 -0.8 indicates that around 80.0% of current Alpha Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alpha Networks in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alpha Networks' short interest history, or implied volatility extrapolated from Alpha Networks options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Alpha Networks Correlation, Alpha Networks Volatility and Alpha Networks Alpha and Beta module to complement your research on Alpha Networks. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary 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.
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Alpha Networks 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.