Mercury (Korea) Market Value
| 100590 Stock | KRW 3,850 85.00 2.16% |
| Symbol | Mercury |
Mercury '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 Mercury'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 Mercury.
| 12/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in Mercury on December 9, 2024 and sell it all today you would earn a total of 0.00 from holding Mercury or generate 0.0% return on investment in Mercury over 30 days. Mercury is related to or competes with FoodNamoo, Samyang Foods, Hansol Homedeco, Polaris Office, Shinsegae Food, CJ Seafood, and LG Household. Mercury Corporation manufactures and markets communications equipment and optical fiber cables for telecommunications bu... More
Mercury 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 Mercury'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 Mercury upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.44 | |||
| Information Ratio | 0.0622 | |||
| Maximum Drawdown | 22.85 | |||
| Value At Risk | (5.90) | |||
| Potential Upside | 9.06 |
Mercury Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mercury's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mercury's standard deviation. In reality, there are many statistical measures that can use Mercury historical prices to predict the future Mercury's volatility.| Risk Adjusted Performance | 0.0599 | |||
| Jensen Alpha | 0.2847 | |||
| Total Risk Alpha | 0.2877 | |||
| Sortino Ratio | 0.083 | |||
| Treynor Ratio | 1.44 |
Mercury Backtested Returns
At this point, Mercury is very steady. Mercury has Sharpe Ratio of 0.0385, which conveys that the firm had a 0.0385% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Mercury, which you can use to evaluate the volatility of the firm. Please verify Mercury's Mean Deviation of 3.17, downside deviation of 3.44, and Risk Adjusted Performance of 0.0599 to check out if the risk estimate we provide is consistent with the expected return of 0.18%. Mercury has a performance score of 3 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.2, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mercury's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mercury is expected to be smaller as well. Mercury right now secures a risk of 4.61%. Please verify Mercury jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to decide if Mercury will be following its current price movements.
Auto-correlation | -0.78 |
Almost perfect reverse predictability
Mercury has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Mercury time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th of January 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 Mercury price movement. The serial correlation of -0.78 indicates that around 78.0% of current Mercury price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.78 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 12.8 K |
Mercury lagged returns against current returns
Autocorrelation, which is Mercury 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 Mercury's stock expected returns. We can calculate the autocorrelation of Mercury returns to help us make a trade decision. For example, suppose you find that Mercury 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 |
Mercury 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 Mercury stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mercury stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mercury stock over time.
Current vs Lagged Prices |
| Timeline |
Mercury Lagged Returns
When evaluating Mercury's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mercury stock have on its future price. Mercury 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, Mercury autocorrelation shows the relationship between Mercury stock current value and its past values and can show if there is a momentum factor associated with investing in Mercury.
Regressed Prices |
| Timeline |
Pair Trading with Mercury
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 Mercury 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 Mercury will appreciate offsetting losses from the drop in the long position's value.Moving together with Mercury Stock
Moving against Mercury Stock
The ability to find closely correlated positions to Mercury could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mercury 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 Mercury - 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 Mercury to buy it.
The correlation of Mercury 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 Mercury moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mercury 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 Mercury 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 Mercury Stock
Mercury financial ratios help investors to determine whether Mercury 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 Mercury with respect to the benefits of owning Mercury security.