Roo Hsing (Taiwan) Market Value
| 4414 Stock | TWD 3.54 0.01 0.28% |
| Symbol | Roo |
Roo Hsing '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 Roo Hsing'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 Roo Hsing.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Roo Hsing on April 2, 2024 and sell it all today you would earn a total of 0.00 from holding Roo Hsing Co or generate 0.0% return on investment in Roo Hsing over 30 days. Roo Hsing is related to or competes with Shin Shin, Hung Sheng, and Taiwan Tea. Roo Hsing Co., Ltd manufactures and sells garments in Taiwan More
Roo Hsing 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 Roo Hsing'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 Roo Hsing Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.18 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 9.5 | |||
| Value At Risk | (1.89) | |||
| Potential Upside | 2.03 |
Roo Hsing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Roo Hsing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Roo Hsing's standard deviation. In reality, there are many statistical measures that can use Roo Hsing historical prices to predict the future Roo Hsing's volatility.| Risk Adjusted Performance | 0.0144 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0243 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Roo Hsing'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.
Roo Hsing Backtested Returns
We consider Roo Hsing slightly risky. Roo Hsing maintains Sharpe Ratio (i.e., Efficiency) of 0.0391, which implies the firm had a 0.0391% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Roo Hsing, which you can use to evaluate the volatility of the company. Please check Roo Hsing's Semi Deviation of 1.02, coefficient of variation of 7654.66, and Risk Adjusted Performance of 0.0144 to confirm if the risk estimate we provide is consistent with the expected return of 0.0672%. Roo Hsing has a performance score of 3 on a scale of 0 to 100. The company holds a Beta of 0.45, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Roo Hsing's returns are expected to increase less than the market. However, during the bear market, the loss of holding Roo Hsing is expected to be smaller as well. Roo Hsing right now holds a risk of 1.72%. Please check Roo Hsing downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Roo Hsing will be following its historical price patterns.
Auto-correlation | 0.27 |
Poor predictability
Roo Hsing Co has poor predictability. Overlapping area represents the amount of predictability between Roo Hsing time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd 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 Roo Hsing price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Roo Hsing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Roo Hsing lagged returns against current returns
Autocorrelation, which is Roo Hsing 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 Roo Hsing's stock expected returns. We can calculate the autocorrelation of Roo Hsing returns to help us make a trade decision. For example, suppose you find that Roo Hsing 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 |
Roo Hsing 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 Roo Hsing stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Roo Hsing stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Roo Hsing stock over time.
Current vs Lagged Prices |
| Timeline |
Roo Hsing Lagged Returns
When evaluating Roo Hsing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Roo Hsing stock have on its future price. Roo Hsing 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, Roo Hsing autocorrelation shows the relationship between Roo Hsing stock current value and its past values and can show if there is a momentum factor associated with investing in Roo Hsing Co.
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 Roo Hsing 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, Roo Hsing's short interest history, or implied volatility extrapolated from Roo Hsing options trading.
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Check out Roo Hsing Correlation, Roo Hsing Volatility and Roo Hsing Alpha and Beta module to complement your research on Roo Hsing. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for Roo Stock analysis
When running Roo Hsing's price analysis, check to measure Roo Hsing'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 Roo Hsing is operating at the current time. Most of Roo Hsing's value examination focuses on studying past and present price action to predict the probability of Roo Hsing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Roo Hsing's price. Additionally, you may evaluate how the addition of Roo Hsing to your portfolios can decrease your overall portfolio volatility.
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Roo Hsing 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.