CSSC Offshore (Germany) Market Value
| GSZ Stock | 1.76 0.05 2.92% |
| Symbol | CSSC |
CSSC Offshore '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 CSSC Offshore'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 CSSC Offshore.
| 04/05/2024 |
| 06/04/2024 |
If you would invest 0.00 in CSSC Offshore on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding CSSC Offshore Marine or generate 0.0% return on investment in CSSC Offshore over 60 days. CSSC Offshore is related to or competes with Apple, Apple, Apple, Apple, Apple, Microsoft, and Microsoft. More
CSSC Offshore 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 CSSC Offshore'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 CSSC Offshore Marine upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.7 | |||
| Information Ratio | 0.1367 | |||
| Maximum Drawdown | 21.44 | |||
| Value At Risk | (3.70) | |||
| Potential Upside | 5.65 |
CSSC Offshore Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CSSC Offshore's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CSSC Offshore's standard deviation. In reality, there are many statistical measures that can use CSSC Offshore historical prices to predict the future CSSC Offshore's volatility.| Risk Adjusted Performance | 0.1006 | |||
| Jensen Alpha | 0.4773 | |||
| Total Risk Alpha | 0.3448 | |||
| Sortino Ratio | 0.1693 | |||
| Treynor Ratio | 2.15 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CSSC Offshore'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.
CSSC Offshore Marine Backtested Returns
CSSC Offshore appears to be very risky, given 3 months investment horizon. CSSC Offshore Marine secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13% return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for CSSC Offshore Marine, which you can use to evaluate the volatility of the firm. Please makes use of CSSC Offshore's mean deviation of 2.34, and Risk Adjusted Performance of 0.1006 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, CSSC Offshore holds a performance score of 9. The firm shows a Beta (market volatility) of 0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CSSC Offshore's returns are expected to increase less than the market. However, during the bear market, the loss of holding CSSC Offshore is expected to be smaller as well. Please check CSSC Offshore's semi variance, and the relationship between the maximum drawdown and daily balance of power , to make a quick decision on whether CSSC Offshore's price patterns will revert.
Auto-correlation | -0.31 |
Poor reverse predictability
CSSC Offshore Marine has poor reverse predictability. Overlapping area represents the amount of predictability between CSSC Offshore time series from 5th of April 2024 to 5th of May 2024 and 5th of May 2024 to 4th 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 CSSC Offshore Marine price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current CSSC Offshore price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
CSSC Offshore Marine lagged returns against current returns
Autocorrelation, which is CSSC Offshore 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 CSSC Offshore's stock expected returns. We can calculate the autocorrelation of CSSC Offshore returns to help us make a trade decision. For example, suppose you find that CSSC Offshore 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 |
CSSC Offshore 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 CSSC Offshore stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CSSC Offshore stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CSSC Offshore stock over time.
Current vs Lagged Prices |
| Timeline |
CSSC Offshore Lagged Returns
When evaluating CSSC Offshore's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CSSC Offshore stock have on its future price. CSSC Offshore 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, CSSC Offshore autocorrelation shows the relationship between CSSC Offshore stock current value and its past values and can show if there is a momentum factor associated with investing in CSSC Offshore Marine.
Regressed Prices |
| Timeline |
Pair Trading with CSSC Offshore
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 CSSC Offshore 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 CSSC Offshore will appreciate offsetting losses from the drop in the long position's value.Moving together with CSSC Stock
| 0.8 | APC | Apple Inc | PairCorr |
| 0.83 | APC | Apple Inc | PairCorr |
| 0.82 | APC | Apple Inc | PairCorr |
| 0.82 | APC | Apple Inc | PairCorr |
| 0.82 | APC | Apple Inc | PairCorr |
Moving against CSSC Stock
| 0.67 | DBPD | Xtrackers ShortDAX | PairCorr |
| 0.54 | TCID | Telkom Indonesia Tbk | PairCorr |
| 0.49 | SSUN | Samsung Electronics | PairCorr |
| 0.47 | SSUN | Samsung Electronics | PairCorr |
| 0.47 | PTI | Perusahaan Perseroan | PairCorr |
The ability to find closely correlated positions to CSSC Offshore could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CSSC Offshore 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 CSSC Offshore - 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 CSSC Offshore Marine to buy it.
The correlation of CSSC Offshore 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 CSSC Offshore moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CSSC Offshore Marine 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 CSSC Offshore 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 CSSC Stock Analysis
When running CSSC Offshore's price analysis, check to measure CSSC Offshore's 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 CSSC Offshore is operating at the current time. Most of CSSC Offshore's value examination focuses on studying past and present price action to predict the probability of CSSC Offshore's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CSSC Offshore's price. Additionally, you may evaluate how the addition of CSSC Offshore to your portfolios can decrease your overall portfolio volatility.