Samsung Heavy (Korea) Market Value
| 010140 Stock | 11,620 220.00 1.86% |
| Symbol | Samsung |
Samsung Heavy '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 Samsung Heavy'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 Samsung Heavy.
| 06/02/2024 |
| 11/29/2024 |
If you would invest 0.00 in Samsung Heavy on June 2, 2024 and sell it all today you would earn a total of 0.00 from holding Samsung Heavy Industries or generate 0.0% return on investment in Samsung Heavy over 180 days. Samsung Heavy is related to or competes with Duksan Hi, Youngsin Metal, Automobile, Kbi Metal, SK Chemicals, Daiyang Metal, and Daedong Metals. More
Samsung Heavy 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 Samsung Heavy'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 Samsung Heavy Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.23 | |||
| Information Ratio | (0.001) | |||
| Maximum Drawdown | 12.2 | |||
| Value At Risk | (3.05) | |||
| Potential Upside | 3.54 |
Samsung Heavy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Samsung Heavy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Samsung Heavy's standard deviation. In reality, there are many statistical measures that can use Samsung Heavy historical prices to predict the future Samsung Heavy's volatility.| Risk Adjusted Performance | 0.0445 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.26) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0949 |
Samsung Heavy Industries Backtested Returns
Samsung Heavy appears to be very steady, given 3 months investment horizon. Samsung Heavy Industries owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for Samsung Heavy Industries, which you can use to evaluate the volatility of the company. Please review Samsung Heavy's Risk Adjusted Performance of 0.0445, coefficient of variation of 2039.41, and Semi Deviation of 2.07 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Samsung Heavy holds a performance score of 9. The entity has a beta of 1.19, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Samsung Heavy will likely underperform. Please check Samsung Heavy's semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to make a quick decision on whether Samsung Heavy's existing price patterns will revert.
Auto-correlation | 0.23 |
Weak predictability
Samsung Heavy Industries has weak predictability. Overlapping area represents the amount of predictability between Samsung Heavy time series from 2nd of June 2024 to 31st of August 2024 and 31st of August 2024 to 29th of November 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 Samsung Heavy Industries price movement. The serial correlation of 0.23 indicates that over 23.0% of current Samsung Heavy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 654.4 K |
Samsung Heavy Industries lagged returns against current returns
Autocorrelation, which is Samsung Heavy 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 Samsung Heavy's stock expected returns. We can calculate the autocorrelation of Samsung Heavy returns to help us make a trade decision. For example, suppose you find that Samsung Heavy 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 |
Samsung Heavy 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 Samsung Heavy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Samsung Heavy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Samsung Heavy stock over time.
Current vs Lagged Prices |
| Timeline |
Samsung Heavy Lagged Returns
When evaluating Samsung Heavy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Samsung Heavy stock have on its future price. Samsung Heavy 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, Samsung Heavy autocorrelation shows the relationship between Samsung Heavy stock current value and its past values and can show if there is a momentum factor associated with investing in Samsung Heavy Industries.
Regressed Prices |
| Timeline |
Pair Trading with Samsung Heavy
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 Samsung Heavy 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 Samsung Heavy will appreciate offsetting losses from the drop in the long position's value.Moving against Samsung Stock
The ability to find closely correlated positions to Samsung Heavy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Samsung Heavy 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 Samsung Heavy - 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 Samsung Heavy Industries to buy it.
The correlation of Samsung Heavy 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 Samsung Heavy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Samsung Heavy Industries 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 Samsung Heavy 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 Samsung Stock
Samsung Heavy financial ratios help investors to determine whether Samsung 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 Samsung with respect to the benefits of owning Samsung Heavy security.