General Insurance (India) Market Value
| GICRE Stock | 425.95 11.90 2.87% |
| Symbol | General |
General Insurance '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 General Insurance'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 General Insurance.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in General Insurance on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding General Insurance or generate 0.0% return on investment in General Insurance over 30 days. General Insurance is related to or competes with Yes Bank, Indian Oil, Indo Borax, Kingfa Science, Alkali Metals, Krebs Biochemicals, and KNR Constructions. General Insurance is entity of India. It is traded as Stock on NSE exchange. More
General Insurance 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 General Insurance'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 General Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.28 | |||
| Information Ratio | 0.0449 | |||
| Maximum Drawdown | 10.79 | |||
| Value At Risk | (3.11) | |||
| Potential Upside | 3.67 |
General Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for General Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as General Insurance's standard deviation. In reality, there are many statistical measures that can use General Insurance historical prices to predict the future General Insurance's volatility.| Risk Adjusted Performance | 0.0809 | |||
| Jensen Alpha | 0.0794 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.0422 | |||
| Treynor Ratio | 0.1836 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of General Insurance'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.
General Insurance Backtested Returns
As of now, General Stock is very steady. General Insurance holds Efficiency (Sharpe) Ratio of 0.0723, which attests that the entity had a 0.0723% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for General Insurance, which you can use to evaluate the volatility of the firm. Please check out General Insurance's Downside Deviation of 2.28, market risk adjusted performance of 0.1936, and Risk Adjusted Performance of 0.0809 to validate if the risk estimate we provide is consistent with the expected return of 0.15%. General Insurance has a performance score of 5 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 1.15, which attests to a somewhat significant risk relative to the market. General Insurance returns are very sensitive to returns on the market. As the market goes up or down, General Insurance is expected to follow. General Insurance right now retains a risk of 2.1%. Please check out General Insurance sortino ratio, skewness, period momentum indicator, as well as the relationship between the potential upside and rate of daily change , to decide if General Insurance will be following its current trending patterns.
Auto-correlation | 0.82 |
Very good predictability
General Insurance has very good predictability. Overlapping area represents the amount of predictability between General Insurance time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 General Insurance price movement. The serial correlation of 0.82 indicates that around 82.0% of current General Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 79.2 |
General Insurance lagged returns against current returns
Autocorrelation, which is General Insurance 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 General Insurance's stock expected returns. We can calculate the autocorrelation of General Insurance returns to help us make a trade decision. For example, suppose you find that General Insurance 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 |
General Insurance 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 General Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if General Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in General Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
General Insurance Lagged Returns
When evaluating General Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of General Insurance stock have on its future price. General Insurance 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, General Insurance autocorrelation shows the relationship between General Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in General Insurance.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in General Stock
General Insurance financial ratios help investors to determine whether General 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 General with respect to the benefits of owning General Insurance security.