Sebo Manufacturing (Korea) Market Value
| 011560 Stock | KRW 10,150 800.00 7.31% |
| Symbol | Sebo |
Sebo Manufacturing '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 Sebo Manufacturing'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 Sebo Manufacturing.
| 09/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Sebo Manufacturing on September 27, 2024 and sell it all today you would earn a total of 0.00 from holding Sebo Manufacturing Engineering or generate 0.0% return on investment in Sebo Manufacturing over 60 days. Sebo Manufacturing is related to or competes with Samsung Electronics, Samsung Electronics, Hyundai, Hyundai, Hyundai, KB Financial, and POSCO Holdings. Sebo Manufacturing, Engineering Construction Corp More
Sebo Manufacturing 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 Sebo Manufacturing'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 Sebo Manufacturing Engineering upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.57 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 7.18 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 2.55 |
Sebo Manufacturing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sebo Manufacturing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sebo Manufacturing's standard deviation. In reality, there are many statistical measures that can use Sebo Manufacturing historical prices to predict the future Sebo Manufacturing's volatility.| Risk Adjusted Performance | 0.0527 | |||
| Jensen Alpha | 0.086 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.9908 |
Sebo Manufacturing Backtested Returns
At this point, Sebo Manufacturing is very steady. Sebo Manufacturing owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0059, which indicates the firm had a 0.0059% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Sebo Manufacturing Engineering, which you can use to evaluate the volatility of the company. Please validate Sebo Manufacturing's Coefficient Of Variation of 1624.28, semi deviation of 1.38, and Risk Adjusted Performance of 0.0527 to confirm if the risk estimate we provide is consistent with the expected return of 0.0119%. The entity has a beta of 0.0986, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sebo Manufacturing's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sebo Manufacturing is expected to be smaller as well. Sebo Manufacturing right now has a risk of 2.03%. Please validate Sebo Manufacturing semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to decide if Sebo Manufacturing will be following its existing price patterns.
Auto-correlation | 0.66 |
Good predictability
Sebo Manufacturing Engineering has good predictability. Overlapping area represents the amount of predictability between Sebo Manufacturing time series from 27th of September 2024 to 27th of October 2024 and 27th of October 2024 to 26th 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 Sebo Manufacturing price movement. The serial correlation of 0.66 indicates that around 66.0% of current Sebo Manufacturing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 107.4 K |
Sebo Manufacturing lagged returns against current returns
Autocorrelation, which is Sebo Manufacturing 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 Sebo Manufacturing's stock expected returns. We can calculate the autocorrelation of Sebo Manufacturing returns to help us make a trade decision. For example, suppose you find that Sebo Manufacturing 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 |
Sebo Manufacturing 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 Sebo Manufacturing stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sebo Manufacturing stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sebo Manufacturing stock over time.
Current vs Lagged Prices |
| Timeline |
Sebo Manufacturing Lagged Returns
When evaluating Sebo Manufacturing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sebo Manufacturing stock have on its future price. Sebo Manufacturing 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, Sebo Manufacturing autocorrelation shows the relationship between Sebo Manufacturing stock current value and its past values and can show if there is a momentum factor associated with investing in Sebo Manufacturing Engineering.
Regressed Prices |
| Timeline |
Pair Trading with Sebo Manufacturing
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 Sebo Manufacturing 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 Sebo Manufacturing will appreciate offsetting losses from the drop in the long position's value.Moving together with Sebo Stock
The ability to find closely correlated positions to Sebo Manufacturing could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sebo Manufacturing 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 Sebo Manufacturing - 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 Sebo Manufacturing Engineering to buy it.
The correlation of Sebo Manufacturing 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 Sebo Manufacturing moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sebo Manufacturing 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 Sebo Manufacturing 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 Sebo Stock
Sebo Manufacturing financial ratios help investors to determine whether Sebo 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 Sebo with respect to the benefits of owning Sebo Manufacturing security.