Military Insurance (Vietnam) Market Value
| MIG Stock | 17,450 200.00 1.16% |
| Symbol | Military |
Military Insurance '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 Military Insurance'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 Military Insurance.
| 12/20/2023 |
| 12/14/2024 |
If you would invest 0.00 in Military Insurance on December 20, 2023 and sell it all today you would earn a total of 0.00 from holding Military Insurance Corp or generate 0.0% return on investment in Military Insurance over 360 days. Military Insurance is related to or competes with HUD1 Investment, Thanh Dat, Ba Ria, Fecon Mining, Bao Ngoc, Elcom Technology, and Investment. More
Military Insurance 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 Military Insurance'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 Military Insurance Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.87 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 13.07 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 3.01 |
Military Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Military Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Military Insurance's standard deviation. In reality, there are many statistical measures that can use Military Insurance historical prices to predict the future Military Insurance's volatility.| Risk Adjusted Performance | 0.0376 | |||
| Jensen Alpha | 0.0438 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.2562 |
Military Insurance Corp Backtested Returns
As of now, Military Stock is very steady. Military Insurance Corp has Sharpe Ratio of 0.0599, which conveys that the firm had a 0.0599% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Military Insurance, which you can use to evaluate the volatility of the firm. Please verify Military Insurance's Risk Adjusted Performance of 0.0376, mean deviation of 1.12, and Downside Deviation of 1.87 to check out if the risk estimate we provide is consistent with the expected return of 0.11%. Military Insurance has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.26, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Military Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Military Insurance is expected to be smaller as well. Military Insurance Corp right now secures a risk of 1.78%. Please verify Military Insurance Corp sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to decide if Military Insurance Corp will be following its current price movements.
Auto-correlation | -0.21 |
Weak reverse predictability
Military Insurance Corp has weak reverse predictability. Overlapping area represents the amount of predictability between Military Insurance time series from 20th of December 2023 to 17th of June 2024 and 17th of June 2024 to 14th 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 Military Insurance Corp price movement. The serial correlation of -0.21 indicates that over 21.0% of current Military Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 4.1 M |
Military Insurance Corp lagged returns against current returns
Autocorrelation, which is Military Insurance 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 Military Insurance's stock expected returns. We can calculate the autocorrelation of Military Insurance returns to help us make a trade decision. For example, suppose you find that Military Insurance 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 |
Military Insurance 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 Military Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Military Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Military Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Military Insurance Lagged Returns
When evaluating Military Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Military Insurance stock have on its future price. Military Insurance 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, Military Insurance autocorrelation shows the relationship between Military Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Military Insurance Corp.
Regressed Prices |
| Timeline |
Pair Trading with Military Insurance
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 Military Insurance 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 Military Insurance will appreciate offsetting losses from the drop in the long position's value.Moving against Military Stock
| 0.55 | AME | Alphanam ME | PairCorr |
| 0.4 | ABT | Bentre Aquaproduct Import | PairCorr |
| 0.35 | FIT | FIT INVEST JSC | PairCorr |
| 0.35 | AAM | Mekong Fisheries JSC | PairCorr |
The ability to find closely correlated positions to Military Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Military Insurance 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 Military Insurance - 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 Military Insurance Corp to buy it.
The correlation of Military Insurance 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 Military Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Military Insurance 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 Military Insurance 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 Military Stock
Military Insurance financial ratios help investors to determine whether Military 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 Military with respect to the benefits of owning Military Insurance security.