Synthetic Products (Pakistan) Market Value
| SPEL Stock | 45.22 4.11 10.00% |
| Symbol | Synthetic |
Synthetic Products '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 Synthetic Products' 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 Synthetic Products.
| 06/17/2024 |
| 12/14/2024 |
If you would invest 0.00 in Synthetic Products on June 17, 2024 and sell it all today you would earn a total of 0.00 from holding Synthetic Products Enterprises or generate 0.0% return on investment in Synthetic Products over 180 days. Synthetic Products is related to or competes with Habib Insurance, Engro Polymer, Ittehad Chemicals, Adamjee Insurance, and Premier Insurance. More
Synthetic Products 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 Synthetic Products' 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 Synthetic Products Enterprises upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.46 | |||
| Information Ratio | 0.0366 | |||
| Maximum Drawdown | 19.04 | |||
| Value At Risk | (6.34) | |||
| Potential Upside | 9.99 |
Synthetic Products Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Synthetic Products' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Synthetic Products' standard deviation. In reality, there are many statistical measures that can use Synthetic Products historical prices to predict the future Synthetic Products' volatility.| Risk Adjusted Performance | 0.0516 | |||
| Jensen Alpha | 0.2032 | |||
| Total Risk Alpha | (0.29) | |||
| Sortino Ratio | 0.0462 | |||
| Treynor Ratio | 0.4819 |
Synthetic Products Backtested Returns
Synthetic Products appears to be not too volatile, given 3 months investment horizon. Synthetic Products owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.053, which indicates the firm had a 0.053% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Synthetic Products Enterprises, which you can use to evaluate the volatility of the company. Please review Synthetic Products' Risk Adjusted Performance of 0.0516, coefficient of variation of 1677.73, and Semi Deviation of 3.33 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Synthetic Products holds a performance score of 4. The entity has a beta of 0.52, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Synthetic Products' returns are expected to increase less than the market. However, during the bear market, the loss of holding Synthetic Products is expected to be smaller as well. Please check Synthetic Products' treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Synthetic Products' existing price patterns will revert.
Auto-correlation | 0.47 |
Average predictability
Synthetic Products Enterprises has average predictability. Overlapping area represents the amount of predictability between Synthetic Products time series from 17th of June 2024 to 15th of September 2024 and 15th of September 2024 to 14th of December 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 Synthetic Products price movement. The serial correlation of 0.47 indicates that about 47.0% of current Synthetic Products price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 6.23 |
Synthetic Products lagged returns against current returns
Autocorrelation, which is Synthetic Products 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 Synthetic Products' stock expected returns. We can calculate the autocorrelation of Synthetic Products returns to help us make a trade decision. For example, suppose you find that Synthetic Products 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 |
Synthetic Products 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 Synthetic Products stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Synthetic Products stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Synthetic Products stock over time.
Current vs Lagged Prices |
| Timeline |
Synthetic Products Lagged Returns
When evaluating Synthetic Products' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Synthetic Products stock have on its future price. Synthetic Products 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, Synthetic Products autocorrelation shows the relationship between Synthetic Products stock current value and its past values and can show if there is a momentum factor associated with investing in Synthetic Products Enterprises.
Regressed Prices |
| Timeline |
Pair Trading with Synthetic Products
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 Synthetic Products 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 Synthetic Products will appreciate offsetting losses from the drop in the long position's value.Moving against Synthetic Stock
The ability to find closely correlated positions to Synthetic Products could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Synthetic Products 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 Synthetic Products - 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 Synthetic Products Enterprises to buy it.
The correlation of Synthetic Products 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 Synthetic Products moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Synthetic Products 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 Synthetic Products 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 Synthetic Stock
Synthetic Products financial ratios help investors to determine whether Synthetic 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 Synthetic with respect to the benefits of owning Synthetic Products security.