Unisem SA (Romania) Market Value
| UNISEM Stock | 0.34 0.04 10.53% |
| Symbol | Unisem |
Please note, there is a significant difference between Unisem SA's value and its price as these two are different measures arrived at by different means. Investors typically determine if Unisem SA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Unisem SA's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Unisem SA '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 SA'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 SA.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Unisem SA on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Unisem SA or generate 0.0% return on investment in Unisem SA over 30 days. More
Unisem SA 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 SA'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 SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.77 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 19.87 | |||
| Value At Risk | (5.56) | |||
| Potential Upside | 5.71 |
Unisem SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Unisem SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Unisem SA's standard deviation. In reality, there are many statistical measures that can use Unisem SA historical prices to predict the future Unisem SA's volatility.| Risk Adjusted Performance | 0.0093 | |||
| Jensen Alpha | 0.0614 | |||
| Total Risk Alpha | (0.51) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0056 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Unisem SA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Unisem SA Backtested Returns
At this point, Unisem SA is out of control. Unisem SA owns Efficiency Ratio (i.e., Sharpe Ratio) of 8.0E-4, which indicates the firm had a 8.0E-4% return per unit of risk over the last 3 months. We have found thirty technical indicators for Unisem SA, which you can use to evaluate the volatility of the company. Please validate Unisem SA's Risk Adjusted Performance of 0.0093, semi deviation of 2.35, and Coefficient Of Variation of 45811.64 to confirm if the risk estimate we provide is consistent with the expected return of 0.0024%. The entity has a beta of -0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Unisem SA are expected to decrease at a much lower rate. During the bear market, Unisem SA is likely to outperform the market. Unisem SA right now has a risk of 3.11%. Please validate Unisem SA sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to decide if Unisem SA will be following its existing price patterns.
Auto-correlation | 0.16 |
Very weak predictability
Unisem SA has very weak predictability. Overlapping area represents the amount of predictability between Unisem SA time series from 27th of October 2024 to 11th of November 2024 and 11th of November 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 Unisem SA price movement. The serial correlation of 0.16 indicates that over 16.0% of current Unisem SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Unisem SA lagged returns against current returns
Autocorrelation, which is Unisem SA 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 SA's stock expected returns. We can calculate the autocorrelation of Unisem SA returns to help us make a trade decision. For example, suppose you find that Unisem SA 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 SA 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 SA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Unisem SA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Unisem SA stock over time.
Current vs Lagged Prices |
| Timeline |
Unisem SA Lagged Returns
When evaluating Unisem SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Unisem SA stock have on its future price. Unisem SA 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 SA autocorrelation shows the relationship between Unisem SA stock current value and its past values and can show if there is a momentum factor associated with investing in Unisem SA.
Regressed Prices |
| Timeline |
Pair Trading with Unisem SA
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 SA 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 SA will appreciate offsetting losses from the drop in the long position's value.Moving against Unisem Stock
| 0.61 | CMP | Compa Sibiu | PairCorr |
| 0.6 | ELGS | Electroarges S | PairCorr |
| 0.49 | TRP | Teraplast Bist | PairCorr |
| 0.47 | IARV | IAR SA | PairCorr |
The ability to find closely correlated positions to Unisem SA 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 SA 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 SA - 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 SA to buy it.
The correlation of Unisem SA 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 SA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Unisem SA 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 SA 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 SA 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 SA security.