Radiant Innovation (Taiwan) Market Value
Radiant Innovation's market value is the price at which a share of Radiant Innovation trades on a public exchange. It measures the collective expectations of Radiant Innovation investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Radiant Innovation and determine expected loss or profit from investing in Radiant Innovation over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
| Symbol | Radiant |
Radiant Innovation '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 Radiant Innovation'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 Radiant Innovation.
| 05/14/2022 |
| 05/03/2024 |
If you would invest 0.00 in Radiant Innovation on May 14, 2022 and sell it all today you would earn a total of 0.00 from holding Radiant Innovation or generate 0.0% return on investment in Radiant Innovation over 720 days. Radiant Innovation is related to or competes with Union Insurance, GAME HOURS, Mercuries Life, Chinese Gamer, Asia Metal, First Copper, and Shinkong Insurance. More
Radiant Innovation 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 Radiant Innovation'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 Radiant Innovation upside and downside potential and time the market with a certain degree of confidence.
Radiant Innovation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Radiant Innovation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Radiant Innovation's standard deviation. In reality, there are many statistical measures that can use Radiant Innovation historical prices to predict the future Radiant Innovation's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Radiant Innovation'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.
Radiant Innovation Backtested Returns
Radiant Innovation maintains Sharpe Ratio (i.e., Efficiency) of -0.14, which implies the firm had a -0.14% return per unit of risk over the last 3 months. Radiant Innovation exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Radiant Innovation's Variance of 2.94, risk adjusted performance of (0.09), and Coefficient Of Variation of (702.01) to confirm the risk estimate we provide. The company holds a Beta of 0.0698, which implies not very significant fluctuations relative to the market. As returns on the market increase, Radiant Innovation's returns are expected to increase less than the market. However, during the bear market, the loss of holding Radiant Innovation is expected to be smaller as well. Radiant Innovation has an expected return of -0.24%. Please make sure to check Radiant Innovation standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if Radiant Innovation performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.45 |
Average predictability
Radiant Innovation has average predictability. Overlapping area represents the amount of predictability between Radiant Innovation time series from 14th of May 2022 to 9th of May 2023 and 9th of May 2023 to 3rd 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 Radiant Innovation price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Radiant Innovation price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 9.74 |
Radiant Innovation lagged returns against current returns
Autocorrelation, which is Radiant Innovation 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 Radiant Innovation's stock expected returns. We can calculate the autocorrelation of Radiant Innovation returns to help us make a trade decision. For example, suppose you find that Radiant Innovation 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 |
Radiant Innovation 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 Radiant Innovation stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Radiant Innovation stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Radiant Innovation stock over time.
Current vs Lagged Prices |
| Timeline |
Radiant Innovation Lagged Returns
When evaluating Radiant Innovation's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Radiant Innovation stock have on its future price. Radiant Innovation 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, Radiant Innovation autocorrelation shows the relationship between Radiant Innovation stock current value and its past values and can show if there is a momentum factor associated with investing in Radiant Innovation.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Radiant Innovation Correlation, Radiant Innovation Volatility and Radiant Innovation Alpha and Beta module to complement your research on Radiant Innovation. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for Radiant Stock analysis
When running Radiant Innovation's price analysis, check to measure Radiant Innovation'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 Radiant Innovation is operating at the current time. Most of Radiant Innovation's value examination focuses on studying past and present price action to predict the probability of Radiant Innovation's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Radiant Innovation's price. Additionally, you may evaluate how the addition of Radiant Innovation to your portfolios can decrease your overall portfolio volatility.
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Radiant Innovation 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.