Sao Vang (Vietnam) Market Value
| SRC Stock | 27,250 1,750 6.86% |
| Symbol | Sao |
Sao Vang '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 Sao Vang'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 Sao Vang.
| 12/14/2024 |
| 03/14/2025 |
If you would invest 0.00 in Sao Vang on December 14, 2024 and sell it all today you would earn a total of 0.00 from holding Sao Vang Rubber or generate 0.0% return on investment in Sao Vang over 90 days. Sao Vang is related to or competes with Vnsteel Vicasa, Post, Ha Noi, Elcom Technology, Nam Kim, and Industrial Urban. More
Sao Vang 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 Sao Vang'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 Sao Vang Rubber upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.87 | |||
| Information Ratio | 0.0629 | |||
| Maximum Drawdown | 13.76 | |||
| Value At Risk | (5.88) | |||
| Potential Upside | 6.46 |
Sao Vang Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sao Vang's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sao Vang's standard deviation. In reality, there are many statistical measures that can use Sao Vang historical prices to predict the future Sao Vang's volatility.| Risk Adjusted Performance | 0.0275 | |||
| Jensen Alpha | 0.0198 | |||
| Total Risk Alpha | 0.6377 | |||
| Sortino Ratio | 0.0548 | |||
| Treynor Ratio | (0.20) |
Sao Vang Rubber Backtested Returns
As of now, Sao Stock is very steady. Sao Vang Rubber owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0348, which indicates the firm had a 0.0348 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Sao Vang Rubber, which you can use to evaluate the volatility of the company. Please validate Sao Vang's Semi Deviation of 2.82, coefficient of variation of 4223.55, and Risk Adjusted Performance of 0.0275 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. Sao Vang has a performance score of 2 on a scale of 0 to 100. The entity has a beta of -0.35, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Sao Vang are expected to decrease at a much lower rate. During the bear market, Sao Vang is likely to outperform the market. Sao Vang Rubber right now has a risk of 3.25%. Please validate Sao Vang semi variance, and the relationship between the maximum drawdown and accumulation distribution , to decide if Sao Vang will be following its existing price patterns.
Auto-correlation | -0.23 |
Weak reverse predictability
Sao Vang Rubber has weak reverse predictability. Overlapping area represents the amount of predictability between Sao Vang time series from 14th of December 2024 to 28th of January 2025 and 28th of January 2025 to 14th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Sao Vang Rubber price movement. The serial correlation of -0.23 indicates that over 23.0% of current Sao Vang price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 1.2 M |
Sao Vang Rubber lagged returns against current returns
Autocorrelation, which is Sao Vang 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 Sao Vang's stock expected returns. We can calculate the autocorrelation of Sao Vang returns to help us make a trade decision. For example, suppose you find that Sao Vang 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 |
Sao Vang 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 Sao Vang stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sao Vang stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sao Vang stock over time.
Current vs Lagged Prices |
| Timeline |
Sao Vang Lagged Returns
When evaluating Sao Vang's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sao Vang stock have on its future price. Sao Vang 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, Sao Vang autocorrelation shows the relationship between Sao Vang stock current value and its past values and can show if there is a momentum factor associated with investing in Sao Vang Rubber.
Regressed Prices |
| Timeline |
Pair Trading with Sao Vang
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 Sao Vang 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 Sao Vang will appreciate offsetting losses from the drop in the long position's value.Moving against Sao Stock
The ability to find closely correlated positions to Sao Vang could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sao Vang 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 Sao Vang - 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 Sao Vang Rubber to buy it.
The correlation of Sao Vang 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 Sao Vang moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sao Vang Rubber 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 Sao Vang 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.Other Information on Investing in Sao Stock
Sao Vang financial ratios help investors to determine whether Sao Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sao with respect to the benefits of owning Sao Vang security.