Taichung Commercial (Taiwan) Market Value
| 2812 Stock | TWD 17.80 0.10 0.56% |
| Symbol | Taichung |
Taichung Commercial '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 Taichung Commercial'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 Taichung Commercial.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in Taichung Commercial on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Taichung Commercial Bank or generate 0.0% return on investment in Taichung Commercial over 30 days. Taichung Commercial is related to or competes with Mega Financial, ESUN Financial, and Taiwan Cooperative. Taichung Commercial Bank Co., Ltd. provides various banking products and services in Taiwan More
Taichung Commercial 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 Taichung Commercial'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 Taichung Commercial Bank upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.11 | |||
| Information Ratio | 0.0911 | |||
| Maximum Drawdown | 6.76 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 2.01 |
Taichung Commercial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Taichung Commercial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Taichung Commercial's standard deviation. In reality, there are many statistical measures that can use Taichung Commercial historical prices to predict the future Taichung Commercial's volatility.| Risk Adjusted Performance | 0.1064 | |||
| Jensen Alpha | 0.1973 | |||
| Total Risk Alpha | 0.0482 | |||
| Sortino Ratio | 0.0925 | |||
| Treynor Ratio | (0.48) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Taichung Commercial'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.
Taichung Commercial Bank Backtested Returns
Taichung Commercial appears to be very steady, given 3 months investment horizon. Taichung Commercial Bank owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.24, which indicates the firm had a 0.24% return per unit of risk over the last 3 months. We have found thirty technical indicators for Taichung Commercial Bank, which you can use to evaluate the volatility of the company. Please review Taichung Commercial's Risk Adjusted Performance of 0.1064, coefficient of variation of 618.81, and Semi Deviation of 0.7893 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Taichung Commercial holds a performance score of 18. The entity has a beta of -0.36, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Taichung Commercial are expected to decrease at a much lower rate. During the bear market, Taichung Commercial is likely to outperform the market. Please check Taichung Commercial's downside deviation, standard deviation, and the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether Taichung Commercial's existing price patterns will revert.
Auto-correlation | 0.05 |
Virtually no predictability
Taichung Commercial Bank has virtually no predictability. Overlapping area represents the amount of predictability between Taichung Commercial time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th 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 Taichung Commercial Bank price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Taichung Commercial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Taichung Commercial Bank lagged returns against current returns
Autocorrelation, which is Taichung Commercial 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 Taichung Commercial's stock expected returns. We can calculate the autocorrelation of Taichung Commercial returns to help us make a trade decision. For example, suppose you find that Taichung Commercial 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 |
Taichung Commercial 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 Taichung Commercial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Taichung Commercial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Taichung Commercial stock over time.
Current vs Lagged Prices |
| Timeline |
Taichung Commercial Lagged Returns
When evaluating Taichung Commercial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Taichung Commercial stock have on its future price. Taichung Commercial 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, Taichung Commercial autocorrelation shows the relationship between Taichung Commercial stock current value and its past values and can show if there is a momentum factor associated with investing in Taichung Commercial Bank.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Taichung Commercial Correlation, Taichung Commercial Volatility and Taichung Commercial Alpha and Beta module to complement your research on Taichung Commercial. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Complementary Tools for Taichung Stock analysis
When running Taichung Commercial's price analysis, check to measure Taichung Commercial'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 Taichung Commercial is operating at the current time. Most of Taichung Commercial's value examination focuses on studying past and present price action to predict the probability of Taichung Commercial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Taichung Commercial's price. Additionally, you may evaluate how the addition of Taichung Commercial to your portfolios can decrease your overall portfolio volatility.
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Taichung Commercial 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.