First Credit (Pakistan) Market Value
| FCIBL Stock | 8.26 0.73 8.12% |
| Symbol | First |
First Credit '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 First Credit'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 First Credit.
| 03/13/2023 |
| 03/02/2025 |
If you would invest 0.00 in First Credit on March 13, 2023 and sell it all today you would earn a total of 0.00 from holding First Credit And or generate 0.0% return on investment in First Credit over 720 days. First Credit is related to or competes with Askari Bank, Atlas Insurance, Lotte Chemical, IGI Life, Ittehad Chemicals, Pakistan Synthetics, and Engro Polymer. More
First Credit 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 First Credit'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 First Credit And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.49 | |||
| Information Ratio | 0.053 | |||
| Maximum Drawdown | 24.64 | |||
| Value At Risk | (8.17) | |||
| Potential Upside | 12.95 |
First Credit Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Credit's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Credit's standard deviation. In reality, there are many statistical measures that can use First Credit historical prices to predict the future First Credit's volatility.| Risk Adjusted Performance | 0.046 | |||
| Jensen Alpha | 0.2636 | |||
| Total Risk Alpha | 0.4546 | |||
| Sortino Ratio | 0.0463 | |||
| Treynor Ratio | (0.46) |
First Credit And Backtested Returns
First Credit appears to be relatively risky, given 3 months investment horizon. First Credit And secures Sharpe Ratio (or Efficiency) of 0.0395, which denotes the company had a 0.0395 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for First Credit And, which you can use to evaluate the volatility of the firm. Please utilize First Credit's Coefficient Of Variation of 1971.73, mean deviation of 3.71, and Downside Deviation of 6.49 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, First Credit holds a performance score of 3. The firm shows a Beta (market volatility) of -0.61, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning First Credit are expected to decrease at a much lower rate. During the bear market, First Credit is likely to outperform the market. Please check First Credit's semi variance, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether First Credit's price patterns will revert.
Auto-correlation | -0.23 |
Weak reverse predictability
First Credit And has weak reverse predictability. Overlapping area represents the amount of predictability between First Credit time series from 13th of March 2023 to 7th of March 2024 and 7th of March 2024 to 2nd of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of First Credit And price movement. The serial correlation of -0.23 indicates that over 23.0% of current First Credit price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
First Credit And lagged returns against current returns
Autocorrelation, which is First Credit 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 First Credit's stock expected returns. We can calculate the autocorrelation of First Credit returns to help us make a trade decision. For example, suppose you find that First Credit 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 |
First Credit 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 First Credit stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if First Credit stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in First Credit stock over time.
Current vs Lagged Prices |
| Timeline |
First Credit Lagged Returns
When evaluating First Credit's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of First Credit stock have on its future price. First Credit 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, First Credit autocorrelation shows the relationship between First Credit stock current value and its past values and can show if there is a momentum factor associated with investing in First Credit And.
Regressed Prices |
| Timeline |
Pair Trading with First Credit
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 First Credit 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 First Credit will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to First Credit could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Credit 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 First Credit - 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 First Credit And to buy it.
The correlation of First Credit 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 First Credit moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Credit And 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 First Credit 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 First Stock
First Credit financial ratios help investors to determine whether First 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 First with respect to the benefits of owning First Credit security.