Assurant Stock Market Value
| AIZN Stock | USD 21.39 0.01 0.05% |
| Symbol | Assurant |
Assurant Price To Book Ratio
Is Multi-line Insurance space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Assurant. If investors know Assurant will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Assurant listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Return On Equity 0.0746 |
The market value of Assurant is measured differently than its book value, which is the value of Assurant that is recorded on the company's balance sheet. Investors also form their own opinion of Assurant's value that differs from its market value or its book value, called intrinsic value, which is Assurant's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Assurant's market value can be influenced by many factors that don't directly affect Assurant's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Assurant's value and its price as these two are different measures arrived at by different means. Investors typically determine if Assurant is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Assurant's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Assurant '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 Assurant'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 Assurant.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in Assurant on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding Assurant or generate 0.0% return on investment in Assurant over 720 days. Assurant is related to or competes with American Financial, Aegon Funding, American Financial, American Financial, and American Financial. Assurant is entity of United States. It is traded as Stock on NYSE exchange. More
Assurant 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 Assurant'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 Assurant upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.50) | |||
| Potential Upside | 1.26 |
Assurant Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Assurant's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Assurant's standard deviation. In reality, there are many statistical measures that can use Assurant historical prices to predict the future Assurant's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | (0.14) |
Assurant Backtested Returns
Assurant secures Sharpe Ratio (or Efficiency) of -0.0357, which signifies that the company had a -0.0357% return per unit of risk over the last 3 months. Assurant exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Assurant's Risk Adjusted Performance of (0.02), standard deviation of 0.8385, and Mean Deviation of 0.6048 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Assurant's returns are expected to increase less than the market. However, during the bear market, the loss of holding Assurant is expected to be smaller as well. At this point, Assurant has a negative expected return of -0.0304%. Please make sure to confirm Assurant's skewness, as well as the relationship between the day median price and relative strength index , to decide if Assurant performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.5 |
Modest reverse predictability
Assurant has modest reverse predictability. Overlapping area represents the amount of predictability between Assurant time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th of November 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 Assurant price movement. The serial correlation of -0.5 indicates that about 50.0% of current Assurant price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 1.29 |
Assurant lagged returns against current returns
Autocorrelation, which is Assurant 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 Assurant's stock expected returns. We can calculate the autocorrelation of Assurant returns to help us make a trade decision. For example, suppose you find that Assurant 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 |
Assurant 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 Assurant stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Assurant stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Assurant stock over time.
Current vs Lagged Prices |
| Timeline |
Assurant Lagged Returns
When evaluating Assurant's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Assurant stock have on its future price. Assurant 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, Assurant autocorrelation shows the relationship between Assurant stock current value and its past values and can show if there is a momentum factor associated with investing in Assurant.
Regressed Prices |
| Timeline |
Pair Trading with Assurant
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 Assurant 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 Assurant will appreciate offsetting losses from the drop in the long position's value.Moving against Assurant Stock
The ability to find closely correlated positions to Assurant could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Assurant 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 Assurant - 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 Assurant to buy it.
The correlation of Assurant 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 Assurant moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Assurant 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 Assurant 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 Assurant Correlation, Assurant Volatility and Assurant Alpha and Beta module to complement your research on Assurant. To learn how to invest in Assurant Stock, please use our How to Invest in Assurant guide.You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Assurant technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.