Loads (Pakistan) Market Value
| LOADS Stock | 14.36 0.55 3.69% |
| Symbol | Loads |
Loads '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 Loads' 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 Loads.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in Loads on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding Loads or generate 0.0% return on investment in Loads over 90 days. Loads is related to or competes with United Insurance, Unilever Pakistan, Askari General, Metropolitan Steel, Century Insurance, and Universal Insurance. More
Loads 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 Loads' 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 Loads upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 16.21 | |||
| Value At Risk | (6.20) | |||
| Potential Upside | 4.76 |
Loads Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Loads' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Loads' standard deviation. In reality, there are many statistical measures that can use Loads historical prices to predict the future Loads' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.58) | |||
| Treynor Ratio | (0.44) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Loads' 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.
Loads Backtested Returns
Loads has Sharpe Ratio of -0.0839, which conveys that the firm had a -0.0839 % return per unit of risk over the last 3 months. Loads exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Loads' Mean Deviation of 2.3, risk adjusted performance of (0.02), and Standard Deviation of 3.28 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.27, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Loads' returns are expected to increase less than the market. However, during the bear market, the loss of holding Loads is expected to be smaller as well. At this point, Loads has a negative expected return of -0.27%. Please make sure to verify Loads' jensen alpha, as well as the relationship between the skewness and day median price , to decide if Loads performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.23 |
Weak reverse predictability
Loads has weak reverse predictability. Overlapping area represents the amount of predictability between Loads time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 Loads price movement. The serial correlation of -0.23 indicates that over 23.0% of current Loads price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.84 |
Loads lagged returns against current returns
Autocorrelation, which is Loads 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 Loads' stock expected returns. We can calculate the autocorrelation of Loads returns to help us make a trade decision. For example, suppose you find that Loads 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 |
Loads 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 Loads stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Loads stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Loads stock over time.
Current vs Lagged Prices |
| Timeline |
Loads Lagged Returns
When evaluating Loads' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Loads stock have on its future price. Loads 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, Loads autocorrelation shows the relationship between Loads stock current value and its past values and can show if there is a momentum factor associated with investing in Loads.
Regressed Prices |
| Timeline |
Pair Trading with Loads
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 Loads 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 Loads will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Loads could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Loads 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 Loads - 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 Loads to buy it.
The correlation of Loads 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 Loads moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Loads 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 Loads 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 Loads Stock
Loads financial ratios help investors to determine whether Loads 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 Loads with respect to the benefits of owning Loads security.