UNISEM (Korea) Market Value
| 036200 Stock | KRW 6,880 250.00 3.77% |
| Symbol | UNISEM |
UNISEM '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 UNISEM'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 UNISEM.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in UNISEM on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding UNISEM Co or generate 0.0% return on investment in UNISEM over 90 days. UNISEM is related to or competes with Seoam Machinery, GS Engineering, Korea Information, Camus Engineering, BGF Retail, Sejong Telecom, and Ssangyong Information. UNISEM Co., Ltd. manufactures and sells semiconductor equipment in South Korea More
UNISEM 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 UNISEM'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 UNISEM Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.1 | |||
| Information Ratio | 0.149 | |||
| Maximum Drawdown | 14.93 | |||
| Value At Risk | (4.59) | |||
| Potential Upside | 4.38 |
UNISEM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UNISEM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UNISEM's standard deviation. In reality, there are many statistical measures that can use UNISEM historical prices to predict the future UNISEM's volatility.| Risk Adjusted Performance | 0.1069 | |||
| Jensen Alpha | 0.3977 | |||
| Total Risk Alpha | 0.6838 | |||
| Sortino Ratio | 0.1388 | |||
| Treynor Ratio | 0.4618 |
UNISEM Backtested Returns
UNISEM appears to be very steady, given 3 months investment horizon. UNISEM owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0965, which indicates the firm had a 0.0965 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for UNISEM Co, which you can use to evaluate the volatility of the company. Please review UNISEM's coefficient of variation of 871.62, and Risk Adjusted Performance of 0.1069 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, UNISEM holds a performance score of 7. The entity has a beta of 0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, UNISEM's returns are expected to increase less than the market. However, during the bear market, the loss of holding UNISEM is expected to be smaller as well. Please check UNISEM's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to make a quick decision on whether UNISEM's existing price patterns will revert.
Auto-correlation | 0.17 |
Very weak predictability
UNISEM Co has very weak predictability. Overlapping area represents the amount of predictability between UNISEM time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 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 UNISEM price movement. The serial correlation of 0.17 indicates that over 17.0% of current UNISEM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 113.6 K |
UNISEM lagged returns against current returns
Autocorrelation, which is UNISEM 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 UNISEM's stock expected returns. We can calculate the autocorrelation of UNISEM returns to help us make a trade decision. For example, suppose you find that UNISEM 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 |
UNISEM 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 UNISEM stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UNISEM stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UNISEM stock over time.
Current vs Lagged Prices |
| Timeline |
UNISEM Lagged Returns
When evaluating UNISEM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UNISEM stock have on its future price. UNISEM 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, UNISEM autocorrelation shows the relationship between UNISEM stock current value and its past values and can show if there is a momentum factor associated with investing in UNISEM Co.
Regressed Prices |
| Timeline |
Pair Trading with UNISEM
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 UNISEM 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 UNISEM will appreciate offsetting losses from the drop in the long position's value.Moving together with UNISEM Stock
Moving against UNISEM Stock
The ability to find closely correlated positions to UNISEM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace UNISEM 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 UNISEM - 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 UNISEM Co to buy it.
The correlation of UNISEM 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 UNISEM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UNISEM 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 UNISEM 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 UNISEM Stock
UNISEM financial ratios help investors to determine whether UNISEM 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 UNISEM with respect to the benefits of owning UNISEM security.