Run Long (Taiwan) Market Value
| 1808 Stock | TWD 37.35 0.65 1.71% |
| Symbol | Run |
Run Long '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 Run Long'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 Run Long.
| 11/18/2024 |
| 12/18/2024 |
If you would invest 0.00 in Run Long on November 18, 2024 and sell it all today you would earn a total of 0.00 from holding Run Long Construction or generate 0.0% return on investment in Run Long over 30 days. Run Long is related to or competes with Wan Hai, U Ming, and China Airlines. The company also develops, constructs, leases, and sells residential and commercial buildings More
Run Long 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 Run Long'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 Run Long Construction upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 63.13 | |||
| Value At Risk | (3.01) | |||
| Potential Upside | 2.9 |
Run Long Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Run Long's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Run Long's standard deviation. In reality, there are many statistical measures that can use Run Long historical prices to predict the future Run Long's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (1.35) | |||
| Total Risk Alpha | (1.98) | |||
| Treynor Ratio | 8.49 |
Run Long Construction Backtested Returns
Run Long Construction maintains Sharpe Ratio (i.e., Efficiency) of -0.19, which implies the firm had a -0.19% return per unit of risk over the last 3 months. Run Long Construction exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Run Long's Coefficient Of Variation of (567.63), variance of 59.07, and Risk Adjusted Performance of (0.12) to confirm the risk estimate we provide. The company holds a Beta of -0.16, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Run Long are expected to decrease at a much lower rate. During the bear market, Run Long is likely to outperform the market. At this point, Run Long Construction has a negative expected return of -1.48%. Please make sure to check Run Long's coefficient of variation, information ratio, total risk alpha, as well as the relationship between the standard deviation and jensen alpha , to decide if Run Long Construction performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.01 |
Virtually no predictability
Run Long Construction has virtually no predictability. Overlapping area represents the amount of predictability between Run Long time series from 18th of November 2024 to 3rd of December 2024 and 3rd of December 2024 to 18th 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 Run Long Construction price movement. The serial correlation of 0.01 indicates that just 1.0% of current Run Long price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 1.35 |
Run Long Construction lagged returns against current returns
Autocorrelation, which is Run Long 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 Run Long's stock expected returns. We can calculate the autocorrelation of Run Long returns to help us make a trade decision. For example, suppose you find that Run Long 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 |
Run Long 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 Run Long stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Run Long stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Run Long stock over time.
Current vs Lagged Prices |
| Timeline |
Run Long Lagged Returns
When evaluating Run Long's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Run Long stock have on its future price. Run Long 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, Run Long autocorrelation shows the relationship between Run Long stock current value and its past values and can show if there is a momentum factor associated with investing in Run Long Construction.
Regressed Prices |
| Timeline |
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When running Run Long's price analysis, check to measure Run Long'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 Run Long is operating at the current time. Most of Run Long's value examination focuses on studying past and present price action to predict the probability of Run Long's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Run Long's price. Additionally, you may evaluate how the addition of Run Long to your portfolios can decrease your overall portfolio volatility.