Clean Seas (Australia) Market Value
| CSS Stock | 0.22 0.01 4.76% |
| Symbol | Clean |
Clean Seas '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 Seas' 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 Seas.
| 05/08/2024 |
| 06/07/2024 |
If you would invest 0.00 in Clean Seas on May 8, 2024 and sell it all today you would earn a total of 0.00 from holding Clean Seas Seafood or generate 0.0% return on investment in Clean Seas over 30 days. Clean Seas is related to or competes with Champion Iron, Peel Mining, Adriatic Metals, Perpetual Credit, Greentech Metals, and Talisman Mining. Clean Seas is entity of Australia. It is traded as Stock on AU exchange. More
Clean Seas 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 Seas' 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 Seas Seafood upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 16.67 | |||
| Value At Risk | (4.55) | |||
| Potential Upside | 4.76 |
Clean Seas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Seas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Seas' standard deviation. In reality, there are many statistical measures that can use Clean Seas historical prices to predict the future Clean Seas' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (60.30) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Clean Seas' 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.
Clean Seas Seafood Backtested Returns
Clean Seas Seafood secures Sharpe Ratio (or Efficiency) of -0.0522, which signifies that the company had a -0.0522% return per unit of standard deviation over the last 3 months. Clean Seas Seafood exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Seas' mean deviation of 1.89, and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0016, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Clean Seas' returns are expected to increase less than the market. However, during the bear market, the loss of holding Clean Seas is expected to be smaller as well. At this point, Clean Seas Seafood has a negative expected return of -0.16%. Please make sure to confirm Clean Seas' mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance , to decide if Clean Seas Seafood performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.42 |
Modest reverse predictability
Clean Seas Seafood has modest reverse predictability. Overlapping area represents the amount of predictability between Clean Seas time series from 8th of May 2024 to 23rd of May 2024 and 23rd of May 2024 to 7th of June 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 Seas Seafood price movement. The serial correlation of -0.42 indicates that just about 42.0% of current Clean Seas price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Clean Seas Seafood lagged returns against current returns
Autocorrelation, which is Clean Seas 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 Seas' stock expected returns. We can calculate the autocorrelation of Clean Seas returns to help us make a trade decision. For example, suppose you find that Clean Seas 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 Seas 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 Seas stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Seas stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Seas stock over time.
Current vs Lagged Prices |
| Timeline |
Clean Seas Lagged Returns
When evaluating Clean Seas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Seas stock have on its future price. Clean Seas 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 Seas autocorrelation shows the relationship between Clean Seas stock current value and its past values and can show if there is a momentum factor associated with investing in Clean Seas Seafood.
Regressed Prices |
| Timeline |
Pair Trading with Clean Seas
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 Seas 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 Seas will appreciate offsetting losses from the drop in the long position's value.Moving against Clean Stock
| 0.71 | CBA | Commonwealth Bank | PairCorr |
| 0.69 | NAB | National Australia Bank | PairCorr |
| 0.53 | MQG | Macquarie Group | PairCorr |
| 0.5 | HGL | Hudson Investment | PairCorr |
| 0.49 | ATM | Aneka Tambang Tbk | PairCorr |
The ability to find closely correlated positions to Clean Seas 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 Seas 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 Seas - 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 Seas Seafood to buy it.
The correlation of Clean Seas 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 Seas moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clean Seas Seafood 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 Seas 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.Additional Tools for Clean Stock Analysis
When running Clean Seas' price analysis, check to measure Clean Seas' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Clean Seas is operating at the current time. Most of Clean Seas' value examination focuses on studying past and present price action to predict the probability of Clean Seas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Seas' price. Additionally, you may evaluate how the addition of Clean Seas to your portfolios can decrease your overall portfolio volatility.