Bionet (Taiwan) Market Value
| 1784 Stock | TWD 66.40 3.00 4.32% |
| Symbol | Bionet |
Bionet '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 Bionet'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 Bionet.
| 03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in Bionet on March 30, 2024 and sell it all today you would earn a total of 0.00 from holding Bionet or generate 0.0% return on investment in Bionet over 30 days. Bionet is related to or competes with Chien Kuo, YuantaP Shares, YuantaP Shares, Fubon MSCI, and YuantaP Shares. More
Bionet 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 Bionet'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 Bionet upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.85 | |||
| Information Ratio | 0.0553 | |||
| Maximum Drawdown | 9.21 | |||
| Value At Risk | (3.02) | |||
| Potential Upside | 3.91 |
Bionet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bionet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bionet's standard deviation. In reality, there are many statistical measures that can use Bionet historical prices to predict the future Bionet's volatility.| Risk Adjusted Performance | 0.0657 | |||
| Jensen Alpha | 0.162 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0699 | |||
| Treynor Ratio | 0.3556 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bionet's 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.
Bionet Backtested Returns
Bionet appears to be not too volatile, given 3 months investment horizon. Bionet secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Bionet, which you can use to evaluate the volatility of the firm. Please makes use of Bionet's Mean Deviation of 1.58, downside deviation of 1.85, and Risk Adjusted Performance of 0.0657 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bionet holds a performance score of 8. The firm shows a Beta (market volatility) of 0.59, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bionet's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bionet is expected to be smaller as well. Please check Bionet's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Bionet's price patterns will revert.
Auto-correlation | -0.69 |
Very good reverse predictability
Bionet has very good reverse predictability. Overlapping area represents the amount of predictability between Bionet time series from 30th of March 2024 to 14th of April 2024 and 14th of April 2024 to 29th of April 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 Bionet price movement. The serial correlation of -0.69 indicates that around 69.0% of current Bionet price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 7.9 |
Bionet lagged returns against current returns
Autocorrelation, which is Bionet 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 Bionet's stock expected returns. We can calculate the autocorrelation of Bionet returns to help us make a trade decision. For example, suppose you find that Bionet 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 |
Bionet 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 Bionet stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bionet stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bionet stock over time.
Current vs Lagged Prices |
| Timeline |
Bionet Lagged Returns
When evaluating Bionet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bionet stock have on its future price. Bionet 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, Bionet autocorrelation shows the relationship between Bionet stock current value and its past values and can show if there is a momentum factor associated with investing in Bionet.
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 Bionet 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, Bionet's short interest history, or implied volatility extrapolated from Bionet options trading.
Thematic Opportunities
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Check out Bionet Correlation, Bionet Volatility and Bionet Alpha and Beta module to complement your research on Bionet. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for Bionet Stock analysis
When running Bionet's price analysis, check to measure Bionet's 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 Bionet is operating at the current time. Most of Bionet's value examination focuses on studying past and present price action to predict the probability of Bionet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bionet's price. Additionally, you may evaluate how the addition of Bionet to your portfolios can decrease your overall portfolio volatility.
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Bionet 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.