Fortune Information (Taiwan) Market Value
| 2468 Stock | TWD 21.45 0.35 1.61% |
| Symbol | Fortune |
Fortune Information '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 Fortune Information'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 Fortune Information.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in Fortune Information on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding Fortune Information Systems or generate 0.0% return on investment in Fortune Information over 180 days. Fortune Information is related to or competes with Taiwan Semiconductor, Yang Ming, ASE Industrial, AU Optronics, Innolux Corp, United Microelectronics, and Nan Ya. Fortune Information Systems Corp provides professional products and information system related services in Taiwan More
Fortune Information 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 Fortune Information'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 Fortune Information Systems upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 11.17 | |||
| Value At Risk | (2.61) | |||
| Potential Upside | 3.25 |
Fortune Information Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fortune Information's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fortune Information's standard deviation. In reality, there are many statistical measures that can use Fortune Information historical prices to predict the future Fortune Information's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | (0.71) |
Fortune Information Backtested Returns
Fortune Information secures Sharpe Ratio (or Efficiency) of -0.1, which denotes the company had a -0.1% return per unit of risk over the last 3 months. Fortune Information Systems exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fortune Information's Standard Deviation of 2.08, mean deviation of 1.43, and Variance of 4.32 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.24, which means not very significant fluctuations relative to the market. As returns on the market increase, Fortune Information's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fortune Information is expected to be smaller as well. At this point, Fortune Information has a negative expected return of -0.21%. Please make sure to confirm Fortune Information's treynor ratio, value at risk, and the relationship between the total risk alpha and maximum drawdown , to decide if Fortune Information performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.25 |
Poor predictability
Fortune Information Systems has poor predictability. Overlapping area represents the amount of predictability between Fortune Information time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd 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 Fortune Information price movement. The serial correlation of 0.25 indicates that over 25.0% of current Fortune Information price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.83 |
Fortune Information lagged returns against current returns
Autocorrelation, which is Fortune Information 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 Fortune Information's stock expected returns. We can calculate the autocorrelation of Fortune Information returns to help us make a trade decision. For example, suppose you find that Fortune Information 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 |
Fortune Information 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 Fortune Information stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fortune Information stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fortune Information stock over time.
Current vs Lagged Prices |
| Timeline |
Fortune Information Lagged Returns
When evaluating Fortune Information's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fortune Information stock have on its future price. Fortune Information 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, Fortune Information autocorrelation shows the relationship between Fortune Information stock current value and its past values and can show if there is a momentum factor associated with investing in Fortune Information Systems.
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 Fortune Stock Analysis
When running Fortune Information's price analysis, check to measure Fortune Information'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 Fortune Information is operating at the current time. Most of Fortune Information's value examination focuses on studying past and present price action to predict the probability of Fortune Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fortune Information's price. Additionally, you may evaluate how the addition of Fortune Information to your portfolios can decrease your overall portfolio volatility.