Crescent Steel (Pakistan) Market Value
| CSAP-CFEB | 104.66 0.99 0.95% |
| Symbol | Crescent |
Crescent Steel '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 Crescent Steel'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 Crescent Steel.
| 10/09/2024 |
| 01/02/2026 |
If you would invest 0.00 in Crescent Steel on October 9, 2024 and sell it all today you would earn a total of 0.00 from holding Crescent Steel or generate 0.0% return on investment in Crescent Steel over 450 days.
Crescent Steel 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 Crescent Steel'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 Crescent Steel upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.01 | |||
| Information Ratio | 0.0415 | |||
| Maximum Drawdown | 6.59 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 2.1 |
Crescent Steel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Crescent Steel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Crescent Steel's standard deviation. In reality, there are many statistical measures that can use Crescent Steel historical prices to predict the future Crescent Steel's volatility.| Risk Adjusted Performance | 0.0677 | |||
| Jensen Alpha | 0.1014 | |||
| Total Risk Alpha | 0.0034 | |||
| Sortino Ratio | 0.0578 | |||
| Treynor Ratio | 0.5015 |
Crescent Steel Backtested Returns
At this point, Crescent Steel is very steady. Crescent Steel secures Sharpe Ratio (or Efficiency) of 0.0866, which signifies that the company had a 0.0866 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Crescent Steel, which you can use to evaluate the volatility of the firm. Please confirm Crescent Steel's mean deviation of 1.03, and Risk Adjusted Performance of 0.0677 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. Crescent Steel has a performance score of 6 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.23, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Crescent Steel's returns are expected to increase less than the market. However, during the bear market, the loss of holding Crescent Steel is expected to be smaller as well. Crescent Steel right now shows a risk of 1.37%. Please confirm Crescent Steel mean deviation, downside deviation, information ratio, as well as the relationship between the semi deviation and coefficient of variation , to decide if Crescent Steel will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Crescent Steel has no correlation between past and present. Overlapping area represents the amount of predictability between Crescent Steel time series from 9th of October 2024 to 22nd of May 2025 and 22nd of May 2025 to 2nd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Crescent Steel price movement. The serial correlation of 0.0 indicates that just 0.0% of current Crescent Steel price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Crescent Steel lagged returns against current returns
Autocorrelation, which is Crescent Steel 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 Crescent Steel's stock expected returns. We can calculate the autocorrelation of Crescent Steel returns to help us make a trade decision. For example, suppose you find that Crescent Steel 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 |
Crescent Steel 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 Crescent Steel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Crescent Steel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Crescent Steel stock over time.
Current vs Lagged Prices |
| Timeline |
Crescent Steel Lagged Returns
When evaluating Crescent Steel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Crescent Steel stock have on its future price. Crescent Steel 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, Crescent Steel autocorrelation shows the relationship between Crescent Steel stock current value and its past values and can show if there is a momentum factor associated with investing in Crescent Steel.
Regressed Prices |
| Timeline |
Pair Trading with Crescent Steel
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 Crescent Steel 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 Crescent Steel will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Crescent Steel could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Crescent Steel 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 Crescent Steel - 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 Crescent Steel to buy it.
The correlation of Crescent Steel 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 Crescent Steel moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Crescent Steel 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 Crescent Steel 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.