IFCI (India) Market Value
| IFCI Stock | 65.55 1.76 2.76% |
| Symbol | IFCI |
IFCI '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 IFCI'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 IFCI.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in IFCI on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding IFCI Limited or generate 0.0% return on investment in IFCI over 30 days. IFCI is related to or competes with Sonata Software, Advani Hotels, Paramount Communications, Mtar Technologies, Pritish Nandy, Viceroy Hotels, and One 97. IFCI is entity of India. It is traded as Stock on NSE exchange. More
IFCI 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 IFCI'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 IFCI Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 21.03 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 5.83 |
IFCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IFCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IFCI's standard deviation. In reality, there are many statistical measures that can use IFCI historical prices to predict the future IFCI's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.33) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | (0.09) |
IFCI Limited Backtested Returns
IFCI Limited retains Efficiency (Sharpe Ratio) of -0.0274, which attests that the entity had a -0.0274% return per unit of return volatility over the last 3 months. IFCI exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IFCI's Market Risk Adjusted Performance of (0.08), standard deviation of 3.58, and Coefficient Of Variation of (2,536) to validate the risk estimate we provide. The company owns a Beta (Systematic Risk) of 1.76, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, IFCI will likely underperform. At this point, IFCI Limited has a negative expected return of -0.0999%. Please make sure to check out IFCI's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if IFCI Limited performance from the past will be repeated in the future.
Auto-correlation | -0.36 |
Poor reverse predictability
IFCI Limited has poor reverse predictability. Overlapping area represents the amount of predictability between IFCI time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 IFCI Limited price movement. The serial correlation of -0.36 indicates that just about 36.0% of current IFCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 5.68 |
IFCI Limited lagged returns against current returns
Autocorrelation, which is IFCI 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 IFCI's stock expected returns. We can calculate the autocorrelation of IFCI returns to help us make a trade decision. For example, suppose you find that IFCI 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 |
IFCI 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 IFCI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IFCI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IFCI stock over time.
Current vs Lagged Prices |
| Timeline |
IFCI Lagged Returns
When evaluating IFCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IFCI stock have on its future price. IFCI 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, IFCI autocorrelation shows the relationship between IFCI stock current value and its past values and can show if there is a momentum factor associated with investing in IFCI Limited.
Regressed Prices |
| Timeline |
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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.Additional Tools for IFCI Stock Analysis
When running IFCI's price analysis, check to measure IFCI's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy IFCI is operating at the current time. Most of IFCI's value examination focuses on studying past and present price action to predict the probability of IFCI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IFCI's price. Additionally, you may evaluate how the addition of IFCI to your portfolios can decrease your overall portfolio volatility.