Haiphong Packing (Vietnam) Market Value
BXH Stock | 15,100 100.00 0.67% |
Symbol | Haiphong |
Haiphong Packing '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 Haiphong Packing'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 Haiphong Packing.
11/28/2024 |
| 12/28/2024 |
If you would invest 0.00 in Haiphong Packing on November 28, 2024 and sell it all today you would earn a total of 0.00 from holding Haiphong Packing VICEM or generate 0.0% return on investment in Haiphong Packing over 30 days.
Haiphong Packing 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 Haiphong Packing'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 Haiphong Packing VICEM upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.02) | |||
Maximum Drawdown | 20.0 | |||
Value At Risk | (10.00) | |||
Potential Upside | 9.95 |
Haiphong Packing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Haiphong Packing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Haiphong Packing's standard deviation. In reality, there are many statistical measures that can use Haiphong Packing historical prices to predict the future Haiphong Packing's volatility.Risk Adjusted Performance | (0) | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.32) | |||
Treynor Ratio | (0.40) |
Haiphong Packing VICEM Backtested Returns
Haiphong Packing appears to be very steady, given 3 months investment horizon. Haiphong Packing VICEM holds Efficiency (Sharpe) Ratio of 0.086, which attests that the entity had a 0.086% return per unit of risk over the last 3 months. By evaluating Haiphong Packing's technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please utilize Haiphong Packing's insignificant Risk Adjusted Performance, standard deviation of 7.03, and Market Risk Adjusted Performance of (0.39) to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Haiphong Packing holds a performance score of 6. The company retains a Market Volatility (i.e., Beta) of 0.32, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Haiphong Packing's returns are expected to increase less than the market. However, during the bear market, the loss of holding Haiphong Packing is expected to be smaller as well. Please check Haiphong Packing's skewness, and the relationship between the treynor ratio and rate of daily change , to make a quick decision on whether Haiphong Packing's current trending patterns will revert.
Auto-correlation | -0.46 |
Modest reverse predictability
Haiphong Packing VICEM has modest reverse predictability. Overlapping area represents the amount of predictability between Haiphong Packing time series from 28th of November 2024 to 13th of December 2024 and 13th of December 2024 to 28th 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 Haiphong Packing VICEM price movement. The serial correlation of -0.46 indicates that about 46.0% of current Haiphong Packing price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.46 | |
Spearman Rank Test | -0.7 | |
Residual Average | 0.0 | |
Price Variance | 2400.0 |
Haiphong Packing VICEM lagged returns against current returns
Autocorrelation, which is Haiphong Packing 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 Haiphong Packing's stock expected returns. We can calculate the autocorrelation of Haiphong Packing returns to help us make a trade decision. For example, suppose you find that Haiphong Packing 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 |
Haiphong Packing 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 Haiphong Packing stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Haiphong Packing stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Haiphong Packing stock over time.
Current vs Lagged Prices |
Timeline |
Haiphong Packing Lagged Returns
When evaluating Haiphong Packing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Haiphong Packing stock have on its future price. Haiphong Packing 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, Haiphong Packing autocorrelation shows the relationship between Haiphong Packing stock current value and its past values and can show if there is a momentum factor associated with investing in Haiphong Packing VICEM.
Regressed Prices |
Timeline |
Pair Trading with Haiphong Packing
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 Haiphong Packing 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 Haiphong Packing will appreciate offsetting losses from the drop in the long position's value.Moving against Haiphong Stock
The ability to find closely correlated positions to Haiphong Packing could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Haiphong Packing 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 Haiphong Packing - 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 Haiphong Packing VICEM to buy it.
The correlation of Haiphong Packing 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 Haiphong Packing moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Haiphong Packing VICEM 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 Haiphong Packing 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.