Shipping (India) Market Value
| SCI Stock | 234.87 0.34 0.14% |
| Symbol | Shipping |
Shipping '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 Shipping'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 Shipping.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Shipping on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Shipping or generate 0.0% return on investment in Shipping over 720 days. Shipping is related to or competes with Sintex Plastics, Shyam Metalics, Hilton Metal, Sonata Software, Rajnandini Metal, Ratnamani Metals, and Compucom Software. Shipping is entity of India. It is traded as Stock on NSE exchange. More
Shipping 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 Shipping'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 Shipping upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 14.04 | |||
| Value At Risk | (4.18) | |||
| Potential Upside | 5.1 |
Shipping Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Shipping's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shipping's standard deviation. In reality, there are many statistical measures that can use Shipping historical prices to predict the future Shipping's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.33) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | (0.17) |
Shipping Backtested Returns
Shipping owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0642, which indicates the firm had a -0.0642% return per unit of risk over the last 3 months. Shipping exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Shipping's Coefficient Of Variation of (1,601), risk adjusted performance of (0.04), and Variance of 7.87 to confirm the risk estimate we provide. The entity has a beta of 1.12, which indicates a somewhat significant risk relative to the market. Shipping returns are very sensitive to returns on the market. As the market goes up or down, Shipping is expected to follow. At this point, Shipping has a negative expected return of -0.18%. Please make sure to validate Shipping's maximum drawdown, daily balance of power, period momentum indicator, as well as the relationship between the skewness and day typical price , to decide if Shipping performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.37 |
Poor reverse predictability
Shipping has poor reverse predictability. Overlapping area represents the amount of predictability between Shipping time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 Shipping price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Shipping price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 1332.5 |
Shipping lagged returns against current returns
Autocorrelation, which is Shipping 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 Shipping's stock expected returns. We can calculate the autocorrelation of Shipping returns to help us make a trade decision. For example, suppose you find that Shipping 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 |
Shipping 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 Shipping stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Shipping stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Shipping stock over time.
Current vs Lagged Prices |
| Timeline |
Shipping Lagged Returns
When evaluating Shipping's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Shipping stock have on its future price. Shipping 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, Shipping autocorrelation shows the relationship between Shipping stock current value and its past values and can show if there is a momentum factor associated with investing in Shipping.
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.Other Information on Investing in Shipping Stock
Shipping financial ratios help investors to determine whether Shipping 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 Shipping with respect to the benefits of owning Shipping security.