Seoam Machinery (Korea) Market Value
| 100660 Stock | KRW 3,845 95.00 2.41% |
| Symbol | Seoam |
Seoam Machinery '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 Seoam Machinery'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 Seoam Machinery.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Seoam Machinery on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Seoam Machinery Industry or generate 0.0% return on investment in Seoam Machinery over 90 days. Seoam Machinery is related to or competes with KyungIn Electronics, Dongbang Transport, Hanjin Transportation, Shinil Electronics, Daejoo Electronic, Wave Electronics, and UJU Electronics. ,Ltd. produces, sells, and exports parts for various gears, chucks and cylinders, and curvic couplings in South Korea an... More
Seoam Machinery 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 Seoam Machinery'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 Seoam Machinery Industry upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 24.59 | |||
| Value At Risk | (3.47) | |||
| Potential Upside | 2.95 |
Seoam Machinery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Seoam Machinery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Seoam Machinery's standard deviation. In reality, there are many statistical measures that can use Seoam Machinery historical prices to predict the future Seoam Machinery's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.61) | |||
| Treynor Ratio | (0.41) |
Seoam Machinery Industry Backtested Returns
Seoam Machinery Industry owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0183, which indicates the firm had a -0.0183% return per unit of risk over the last 3 months. Seoam Machinery Industry exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Seoam Machinery's Variance of 9.6, coefficient of variation of (3,788), and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of 0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Seoam Machinery's returns are expected to increase less than the market. However, during the bear market, the loss of holding Seoam Machinery is expected to be smaller as well. At this point, Seoam Machinery Industry has a negative expected return of -0.0596%. Please make sure to validate Seoam Machinery's standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Seoam Machinery Industry performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.36 |
Below average predictability
Seoam Machinery Industry has below average predictability. Overlapping area represents the amount of predictability between Seoam Machinery time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd 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 Seoam Machinery Industry price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Seoam Machinery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 9713.62 |
Seoam Machinery Industry lagged returns against current returns
Autocorrelation, which is Seoam Machinery 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 Seoam Machinery's stock expected returns. We can calculate the autocorrelation of Seoam Machinery returns to help us make a trade decision. For example, suppose you find that Seoam Machinery 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 |
Seoam Machinery 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 Seoam Machinery stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Seoam Machinery stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Seoam Machinery stock over time.
Current vs Lagged Prices |
| Timeline |
Seoam Machinery Lagged Returns
When evaluating Seoam Machinery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Seoam Machinery stock have on its future price. Seoam Machinery 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, Seoam Machinery autocorrelation shows the relationship between Seoam Machinery stock current value and its past values and can show if there is a momentum factor associated with investing in Seoam Machinery Industry.
Regressed Prices |
| Timeline |
Pair Trading with Seoam Machinery
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 Seoam Machinery 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 Seoam Machinery will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Seoam Machinery could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Seoam Machinery 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 Seoam Machinery - 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 Seoam Machinery Industry to buy it.
The correlation of Seoam Machinery 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 Seoam Machinery moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Seoam Machinery Industry 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 Seoam Machinery 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 Seoam Stock
Seoam Machinery financial ratios help investors to determine whether Seoam 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 Seoam with respect to the benefits of owning Seoam Machinery security.