Sam Chun (Korea) Market Value
| 000250 Stock | KRW 109,800 3,500 3.09% |
| Symbol | Sam |
Sam Chun '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 Sam Chun'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 Sam Chun.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Sam Chun on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Sam Chun Dang or generate 0.0% return on investment in Sam Chun over 30 days. Sam Chun is related to or competes with Medy Tox, Genexine, Busan Industrial, UNISEM, Finebesteel, Fine Besteel, and Hyundai Heavy. Co., Ltd manufactures, distributes, imports, and exports pharmaceuticals in South Korea More
Sam Chun 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 Sam Chun'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 Sam Chun Dang upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 19.67 | |||
| Value At Risk | (6.49) | |||
| Potential Upside | 6.2 |
Sam Chun Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sam Chun's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sam Chun's standard deviation. In reality, there are many statistical measures that can use Sam Chun historical prices to predict the future Sam Chun's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (1.05) | |||
| Treynor Ratio | 1.01 |
Sam Chun Dang Backtested Returns
Sam Chun Dang owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.11, which indicates the firm had a -0.11% return per unit of risk over the last 3 months. Sam Chun Dang exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sam Chun's Variance of 16.13, coefficient of variation of (991.13), and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of -0.41, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Sam Chun are expected to decrease at a much lower rate. During the bear market, Sam Chun is likely to outperform the market. At this point, Sam Chun Dang has a negative expected return of -0.41%. Please make sure to validate Sam Chun's coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Sam Chun Dang performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.58 |
Good reverse predictability
Sam Chun Dang has good reverse predictability. Overlapping area represents the amount of predictability between Sam Chun time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Sam Chun Dang price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Sam Chun price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 83.5 M |
Sam Chun Dang lagged returns against current returns
Autocorrelation, which is Sam Chun 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 Sam Chun's stock expected returns. We can calculate the autocorrelation of Sam Chun returns to help us make a trade decision. For example, suppose you find that Sam Chun 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 |
Sam Chun 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 Sam Chun stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sam Chun stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sam Chun stock over time.
Current vs Lagged Prices |
| Timeline |
Sam Chun Lagged Returns
When evaluating Sam Chun's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sam Chun stock have on its future price. Sam Chun 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, Sam Chun autocorrelation shows the relationship between Sam Chun stock current value and its past values and can show if there is a momentum factor associated with investing in Sam Chun Dang.
Regressed Prices |
| Timeline |
Pair Trading with Sam Chun
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 Sam Chun 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 Sam Chun will appreciate offsetting losses from the drop in the long position's value.Moving together with Sam Stock
Moving against Sam Stock
The ability to find closely correlated positions to Sam Chun could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sam Chun 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 Sam Chun - 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 Sam Chun Dang to buy it.
The correlation of Sam Chun 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 Sam Chun moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sam Chun Dang 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 Sam Chun 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 Sam Stock
Sam Chun financial ratios help investors to determine whether Sam 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 Sam with respect to the benefits of owning Sam Chun security.