SSIAM VNFIN (Vietnam) Market Value
| FUESSVFL | 23,300 60.00 0.26% |
| Symbol | SSIAM |
SSIAM VNFIN '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 SSIAM VNFIN's etf 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 SSIAM VNFIN.
| 12/23/2023 |
| 03/17/2025 |
If you would invest 0.00 in SSIAM VNFIN on December 23, 2023 and sell it all today you would earn a total of 0.00 from holding SSIAM VNFIN LEAD or generate 0.0% return on investment in SSIAM VNFIN over 450 days.
SSIAM VNFIN 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 SSIAM VNFIN's etf 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 SSIAM VNFIN LEAD upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.83 | |||
| Information Ratio | 0.3049 | |||
| Maximum Drawdown | 4.4 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.1 |
SSIAM VNFIN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSIAM VNFIN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSIAM VNFIN's standard deviation. In reality, there are many statistical measures that can use SSIAM VNFIN historical prices to predict the future SSIAM VNFIN's volatility.| Risk Adjusted Performance | 0.1501 | |||
| Jensen Alpha | 0.1234 | |||
| Total Risk Alpha | 0.2166 | |||
| Sortino Ratio | 0.2781 | |||
| Treynor Ratio | 8.17 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SSIAM VNFIN'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.
SSIAM VNFIN LEAD Backtested Returns
At this point, SSIAM VNFIN is very steady. SSIAM VNFIN LEAD owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the etf had a 0.19 % return per unit of volatility over the last 3 months. We have found thirty technical indicators for SSIAM VNFIN LEAD, which you can use to evaluate the volatility of the etf. Please validate SSIAM VNFIN's coefficient of variation of 574.44, and Risk Adjusted Performance of 0.1501 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. The entity has a beta of 0.0149, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SSIAM VNFIN's returns are expected to increase less than the market. However, during the bear market, the loss of holding SSIAM VNFIN is expected to be smaller as well.
Auto-correlation | 0.59 |
Modest predictability
SSIAM VNFIN LEAD has modest predictability. Overlapping area represents the amount of predictability between SSIAM VNFIN time series from 23rd of December 2023 to 4th of August 2024 and 4th of August 2024 to 17th 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 SSIAM VNFIN LEAD price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current SSIAM VNFIN price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 770.6 K |
SSIAM VNFIN LEAD lagged returns against current returns
Autocorrelation, which is SSIAM VNFIN etf'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 SSIAM VNFIN's etf expected returns. We can calculate the autocorrelation of SSIAM VNFIN returns to help us make a trade decision. For example, suppose you find that SSIAM VNFIN has exhibited high autocorrelation historically, and you observe that the etf 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 |
SSIAM VNFIN 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 SSIAM VNFIN etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSIAM VNFIN etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSIAM VNFIN etf over time.
Current vs Lagged Prices |
| Timeline |
SSIAM VNFIN Lagged Returns
When evaluating SSIAM VNFIN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSIAM VNFIN etf have on its future price. SSIAM VNFIN 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, SSIAM VNFIN autocorrelation shows the relationship between SSIAM VNFIN etf current value and its past values and can show if there is a momentum factor associated with investing in SSIAM VNFIN LEAD.
Regressed Prices |
| Timeline |
Pair Trading with SSIAM VNFIN
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 SSIAM VNFIN 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 SSIAM VNFIN will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to SSIAM VNFIN could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SSIAM VNFIN 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 SSIAM VNFIN - 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 SSIAM VNFIN LEAD to buy it.
The correlation of SSIAM VNFIN 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 SSIAM VNFIN moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SSIAM VNFIN LEAD 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 SSIAM VNFIN 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.