SSI Securities (Vietnam) Market Value
| SSI Stock | 26,200 200.00 0.77% |
| Symbol | SSI |
SSI Securities '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 SSI Securities' 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 SSI Securities.
| 12/30/2022 |
| 12/19/2024 |
If you would invest 0.00 in SSI Securities on December 30, 2022 and sell it all today you would earn a total of 0.00 from holding SSI Securities Corp or generate 0.0% return on investment in SSI Securities over 720 days. SSI Securities is related to or competes with FIT INVEST, Damsan JSC, An Phat, Alphanam, APG Securities, Binhthuan Agriculture, and Mekong Fisheries. More
SSI Securities 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 SSI Securities' 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 SSI Securities Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.63 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 1.89 |
SSI Securities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSI Securities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSI Securities' standard deviation. In reality, there are many statistical measures that can use SSI Securities historical prices to predict the future SSI Securities' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (2.97) |
SSI Securities Corp Backtested Returns
SSI Securities Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0594, which indicates the firm had a -0.0594% return per unit of volatility over the last 3 months. SSI Securities Corp exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSI Securities' variance of 2.34, and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of 0.0304, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SSI Securities' returns are expected to increase less than the market. However, during the bear market, the loss of holding SSI Securities is expected to be smaller as well. At this point, SSI Securities Corp has a negative expected return of -0.092%. Please make sure to validate SSI Securities' maximum drawdown, as well as the relationship between the accumulation distribution and day typical price , to decide if SSI Securities Corp performance from the past will be repeated at future time.
Auto-correlation | -0.68 |
Very good reverse predictability
SSI Securities Corp has very good reverse predictability. Overlapping area represents the amount of predictability between SSI Securities time series from 30th of December 2022 to 25th of December 2023 and 25th of December 2023 to 19th of December 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 SSI Securities Corp price movement. The serial correlation of -0.68 indicates that around 68.0% of current SSI Securities price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 13.2 M |
SSI Securities Corp lagged returns against current returns
Autocorrelation, which is SSI Securities 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 SSI Securities' stock expected returns. We can calculate the autocorrelation of SSI Securities returns to help us make a trade decision. For example, suppose you find that SSI Securities 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 |
SSI Securities 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 SSI Securities stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSI Securities stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSI Securities stock over time.
Current vs Lagged Prices |
| Timeline |
SSI Securities Lagged Returns
When evaluating SSI Securities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSI Securities stock have on its future price. SSI Securities 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, SSI Securities autocorrelation shows the relationship between SSI Securities stock current value and its past values and can show if there is a momentum factor associated with investing in SSI Securities Corp.
Regressed Prices |
| Timeline |
Pair Trading with SSI Securities
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 SSI Securities 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 SSI Securities will appreciate offsetting losses from the drop in the long position's value.Moving together with SSI Stock
| 0.69 | FIT | FIT INVEST JSC | PairCorr |
| 0.8 | ADS | Damsan JSC | PairCorr |
| 0.83 | AAA | An Phat Plastic | PairCorr |
| 0.68 | AME | Alphanam ME | PairCorr |
| 0.68 | APG | APG Securities Joint | PairCorr |
The ability to find closely correlated positions to SSI Securities could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SSI Securities 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 SSI Securities - 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 SSI Securities Corp to buy it.
The correlation of SSI Securities 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 SSI Securities moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SSI Securities Corp 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 SSI Securities 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 SSI Stock
SSI Securities financial ratios help investors to determine whether SSI 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 SSI with respect to the benefits of owning SSI Securities security.