Sea Air (Vietnam) Market Value
| SFI Stock | 31,900 1,100 3.57% |
| Symbol | Sea |
Sea Air '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 Sea Air'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 Sea Air.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in Sea Air on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding Sea Air Freight or generate 0.0% return on investment in Sea Air over 720 days. Sea Air is related to or competes with FIT INVEST, Damsan JSC, An Phat, Alphanam, APG Securities, Binhthuan Agriculture, and Mekong Fisheries. More
Sea Air 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 Sea Air'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 Sea Air Freight upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.55 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 7.91 | |||
| Value At Risk | (3.23) | |||
| Potential Upside | 3.23 |
Sea Air Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sea Air's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sea Air's standard deviation. In reality, there are many statistical measures that can use Sea Air historical prices to predict the future Sea Air's volatility.| Risk Adjusted Performance | 0.0115 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.27) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0152 |
Sea Air Freight Backtested Returns
Sea Air Freight owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0061, which indicates the firm had a -0.0061% return per unit of risk over the last 3 months. Sea Air Freight exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sea Air's Coefficient Of Variation of 13922.0, risk adjusted performance of 0.0115, and Semi Deviation of 1.82 to confirm the risk estimate we provide. The entity has a beta of 0.26, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sea Air's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sea Air is expected to be smaller as well. At this point, Sea Air Freight has a negative expected return of -0.0127%. Please make sure to validate Sea Air's information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to decide if Sea Air Freight performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.41 |
Average predictability
Sea Air Freight has average predictability. Overlapping area represents the amount of predictability between Sea Air time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th 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 Sea Air Freight price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Sea Air price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 2.7 M |
Sea Air Freight lagged returns against current returns
Autocorrelation, which is Sea Air 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 Sea Air's stock expected returns. We can calculate the autocorrelation of Sea Air returns to help us make a trade decision. For example, suppose you find that Sea Air 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 |
Sea Air 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 Sea Air stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sea Air stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sea Air stock over time.
Current vs Lagged Prices |
| Timeline |
Sea Air Lagged Returns
When evaluating Sea Air's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sea Air stock have on its future price. Sea Air 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, Sea Air autocorrelation shows the relationship between Sea Air stock current value and its past values and can show if there is a momentum factor associated with investing in Sea Air Freight.
Regressed Prices |
| Timeline |
Pair Trading with Sea Air
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 Sea Air 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 Sea Air will appreciate offsetting losses from the drop in the long position's value.Moving together with Sea Stock
The ability to find closely correlated positions to Sea Air could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sea Air 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 Sea Air - 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 Sea Air Freight to buy it.
The correlation of Sea Air 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 Sea Air moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sea Air Freight 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 Sea Air 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 Sea Stock
Sea Air financial ratios help investors to determine whether Sea 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 Sea with respect to the benefits of owning Sea Air security.