Selective Insurance Group Stock Statistic Functions Linear Regression
| SIGI Stock | USD 81.37 0.75 0.93% |
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The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Linear Regression model generates relationship between price series of Selective Insurance and its peer or benchmark and helps predict Selective Insurance future price from its past values.
Selective Insurance Technical Analysis Modules
Most technical analysis of Selective Insurance help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Selective from various momentum indicators to cycle indicators. When you analyze Selective charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Selective Insurance Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Selective Insurance Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Selective Insurance Group based on widely used predictive technical indicators. In general, we focus on analyzing Selective Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Selective Insurance's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Selective Insurance's intrinsic value. In addition to deriving basic predictive indicators for Selective Insurance, we also check how macroeconomic factors affect Selective Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0133 | 0.0165 | 0.019 | 0.0376 | Price To Sales Ratio | 1.47 | 1.17 | 1.05 | 0.63 |
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Selective Insurance pair trading
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 Selective Insurance 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 Selective Insurance will appreciate offsetting losses from the drop in the long position's value.Selective Insurance Pair Trading
Selective Insurance Group Pair Trading Analysis
The ability to find closely correlated positions to Selective Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Selective Insurance 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 Selective Insurance - 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 Selective Insurance Group to buy it.
The correlation of Selective Insurance 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 Selective Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Selective Insurance 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 Selective Insurance 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.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Selective Insurance Group. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in census. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Is there potential for Property & Casualty Insurance market expansion? Will Selective introduce new products? Factors like these will boost the valuation of Selective Insurance. If investors know Selective will grow in the future, the company's valuation will be higher. Understanding fair value requires weighing current performance against future potential. All the valuation information about Selective Insurance listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.259 | Dividend Share 1.52 | Earnings Share 6.49 | Revenue Per Share | Quarterly Revenue Growth 0.093 |
Investors evaluate Selective Insurance using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Selective Insurance's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Selective Insurance's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Selective Insurance's value and its price as these two are different measures arrived at by different means. Investors typically determine if Selective Insurance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Selective Insurance's market price signifies the transaction level at which participants voluntarily complete trades.