Clean Science (Korea) Market Value
| 045520 Stock | 4,585 35.00 0.77% |
| Symbol | Clean |
Clean Science '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 Clean Science'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 Clean Science.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Clean Science on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding Clean Science co or generate 0.0% return on investment in Clean Science over 720 days. Clean Science is related to or competes with Korea Alcohol, Global Standard, Puloon Technology, MEDIANA CoLtd, NewFlex Technology, and SM Entertainment. Clean Science Co., Ltd. manufactures and markets filtration media solutions for automobile, home, and industrial applications. More
Clean Science 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 Clean Science'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 Clean Science co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 25.4 | |||
| Value At Risk | (4.21) | |||
| Potential Upside | 2.3 |
Clean Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Science's standard deviation. In reality, there are many statistical measures that can use Clean Science historical prices to predict the future Clean Science's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.77) | |||
| Treynor Ratio | (3.31) |
Clean Science co Backtested Returns
Clean Science co secures Sharpe Ratio (or Efficiency) of -0.25, which signifies that the company had a -0.25% return per unit of standard deviation over the last 3 months. Clean Science co exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Science's risk adjusted performance of (0.07), and Mean Deviation of 1.54 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0939, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Clean Science's returns are expected to increase less than the market. However, during the bear market, the loss of holding Clean Science is expected to be smaller as well. At this point, Clean Science co has a negative expected return of -0.34%. Please make sure to confirm Clean Science's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if Clean Science co performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.67 |
Good predictability
Clean Science co has good predictability. Overlapping area represents the amount of predictability between Clean Science time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 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 Clean Science co price movement. The serial correlation of 0.67 indicates that around 67.0% of current Clean Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 779.9 K |
Clean Science co lagged returns against current returns
Autocorrelation, which is Clean Science 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 Clean Science's stock expected returns. We can calculate the autocorrelation of Clean Science returns to help us make a trade decision. For example, suppose you find that Clean Science 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 |
Clean Science 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 Clean Science stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Science stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Science stock over time.
Current vs Lagged Prices |
| Timeline |
Clean Science Lagged Returns
When evaluating Clean Science's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Science stock have on its future price. Clean Science 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, Clean Science autocorrelation shows the relationship between Clean Science stock current value and its past values and can show if there is a momentum factor associated with investing in Clean Science co.
Regressed Prices |
| Timeline |
Pair Trading with Clean Science
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 Clean Science 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 Clean Science will appreciate offsetting losses from the drop in the long position's value.Moving together with Clean Stock
The ability to find closely correlated positions to Clean Science could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Clean Science 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 Clean Science - 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 Clean Science co to buy it.
The correlation of Clean Science 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 Clean Science moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clean Science co 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 Clean Science 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 Clean Stock
Clean Science financial ratios help investors to determine whether Clean 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 Clean with respect to the benefits of owning Clean Science security.