Quanta Storage (Taiwan) Market Value
| 6188 Stock | TWD 96.20 1.40 1.48% |
| Symbol | Quanta |
Quanta Storage '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 Quanta Storage'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 Quanta Storage.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Quanta Storage on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Quanta Storage or generate 0.0% return on investment in Quanta Storage over 30 days. Quanta Storage is related to or competes with Quanta Computer, Wiwynn Corp, Getac Technology, IEI Integration, and Elitegroup Computer. More
Quanta Storage 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 Quanta Storage'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 Quanta Storage upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 14.85 | |||
| Value At Risk | (3.14) | |||
| Potential Upside | 3.5 |
Quanta Storage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quanta Storage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quanta Storage's standard deviation. In reality, there are many statistical measures that can use Quanta Storage historical prices to predict the future Quanta Storage's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | (1.56) |
Quanta Storage Backtested Returns
Quanta Storage maintains Sharpe Ratio (i.e., Efficiency) of -0.0164, which implies the firm had a -0.0164% return per unit of risk over the last 3 months. Quanta Storage exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quanta Storage's Variance of 5.28, risk adjusted performance of (0.02), and Coefficient Of Variation of (3,277) to confirm the risk estimate we provide. The company holds a Beta of 0.0512, which implies not very significant fluctuations relative to the market. As returns on the market increase, Quanta Storage's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quanta Storage is expected to be smaller as well. At this point, Quanta Storage has a negative expected return of -0.0373%. Please make sure to check Quanta Storage's standard deviation, jensen alpha, and the relationship between the coefficient of variation and information ratio , to decide if Quanta Storage performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.5 |
Modest reverse predictability
Quanta Storage has modest reverse predictability. Overlapping area represents the amount of predictability between Quanta Storage time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Quanta Storage price movement. The serial correlation of -0.5 indicates that about 50.0% of current Quanta Storage price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 3.0 |
Quanta Storage lagged returns against current returns
Autocorrelation, which is Quanta Storage 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 Quanta Storage's stock expected returns. We can calculate the autocorrelation of Quanta Storage returns to help us make a trade decision. For example, suppose you find that Quanta Storage 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 |
Quanta Storage 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 Quanta Storage stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quanta Storage stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quanta Storage stock over time.
Current vs Lagged Prices |
| Timeline |
Quanta Storage Lagged Returns
When evaluating Quanta Storage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quanta Storage stock have on its future price. Quanta Storage 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, Quanta Storage autocorrelation shows the relationship between Quanta Storage stock current value and its past values and can show if there is a momentum factor associated with investing in Quanta Storage.
Regressed Prices |
| Timeline |
Pair Trading with Quanta Storage
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Quanta Storage position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Quanta Storage will appreciate offsetting losses from the drop in the long position's value.Moving together with Quanta Stock
The ability to find closely correlated positions to Quanta Storage could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quanta Storage when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Quanta Storage - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Quanta Storage to buy it.
The correlation of Quanta Storage is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Quanta Storage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quanta Storage moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Quanta Storage can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Quanta Stock Analysis
When running Quanta Storage's price analysis, check to measure Quanta Storage'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 Quanta Storage is operating at the current time. Most of Quanta Storage's value examination focuses on studying past and present price action to predict the probability of Quanta Storage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quanta Storage's price. Additionally, you may evaluate how the addition of Quanta Storage to your portfolios can decrease your overall portfolio volatility.