Optimax Technology (Taiwan) Market Value
3051 Stock | TWD 36.30 0.25 0.68% |
Symbol | Optimax |
Optimax Technology '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 Optimax Technology'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 Optimax Technology.
03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in Optimax Technology on March 30, 2024 and sell it all today you would earn a total of 0.00 from holding Optimax Technology Corp or generate 0.0% return on investment in Optimax Technology over 30 days. Optimax Technology is related to or competes with Cathay Financial, Cathay Financial, Cathay Financial, Fubon Financial, Fubon Financial, CTBC Financial, and CTBC Financial. Optimax Technology Corporation manufactures and sells polarizers for liquid crystal display manufacturers More
Optimax Technology 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 Optimax Technology'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 Optimax Technology Corp upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.54 | |||
Information Ratio | 0.0507 | |||
Maximum Drawdown | 15.45 | |||
Value At Risk | (3.47) | |||
Potential Upside | 5.55 |
Optimax Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Optimax Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Optimax Technology's standard deviation. In reality, there are many statistical measures that can use Optimax Technology historical prices to predict the future Optimax Technology's volatility.Risk Adjusted Performance | 0.0596 | |||
Jensen Alpha | 0.2381 | |||
Total Risk Alpha | (0.13) | |||
Sortino Ratio | 0.0547 | |||
Treynor Ratio | (0.87) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Optimax Technology'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.
Optimax Technology Corp Backtested Returns
Optimax Technology appears to be very steady, given 3 months investment horizon. Optimax Technology Corp maintains Sharpe Ratio (i.e., Efficiency) of 0.0763, which implies the firm had a 0.0763% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Optimax Technology Corp, which you can use to evaluate the volatility of the company. Please evaluate Optimax Technology's Coefficient Of Variation of 1202.49, semi deviation of 2.31, and Risk Adjusted Performance of 0.0596 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Optimax Technology holds a performance score of 5. The company holds a Beta of -0.25, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Optimax Technology are expected to decrease at a much lower rate. During the bear market, Optimax Technology is likely to outperform the market. Please check Optimax Technology's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Optimax Technology's historical price patterns will revert.
Auto-correlation | 0.36 |
Below average predictability
Optimax Technology Corp has below average predictability. Overlapping area represents the amount of predictability between Optimax Technology 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 Optimax Technology Corp price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Optimax Technology price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.36 | |
Spearman Rank Test | 0.63 | |
Residual Average | 0.0 | |
Price Variance | 1.06 |
Optimax Technology Corp lagged returns against current returns
Autocorrelation, which is Optimax Technology 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 Optimax Technology's stock expected returns. We can calculate the autocorrelation of Optimax Technology returns to help us make a trade decision. For example, suppose you find that Optimax Technology 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 |
Optimax Technology 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 Optimax Technology stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Optimax Technology stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Optimax Technology stock over time.
Current vs Lagged Prices |
Timeline |
Optimax Technology Lagged Returns
When evaluating Optimax Technology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Optimax Technology stock have on its future price. Optimax Technology 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, Optimax Technology autocorrelation shows the relationship between Optimax Technology stock current value and its past values and can show if there is a momentum factor associated with investing in Optimax Technology Corp.
Regressed Prices |
Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Optimax Technology Correlation, Optimax Technology Volatility and Optimax Technology Alpha and Beta module to complement your research on Optimax Technology. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for Optimax Stock analysis
When running Optimax Technology's price analysis, check to measure Optimax Technology'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 Optimax Technology is operating at the current time. Most of Optimax Technology's value examination focuses on studying past and present price action to predict the probability of Optimax Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Optimax Technology's price. Additionally, you may evaluate how the addition of Optimax Technology to your portfolios can decrease your overall portfolio volatility.
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Optimax Technology 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.