Hci Group Stock Market Value
| HCI Stock | USD 138.30 0.69 0.50% |
| Symbol | HCI |
HCI Group Price To Book Ratio
Is Property & Casualty 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 HCI. If investors know HCI 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 HCI 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 16.123 | Dividend Share 1.6 | Earnings Share 10.43 | Revenue Per Share | Quarterly Revenue Growth 0.48 |
The market value of HCI Group is measured differently than its book value, which is the value of HCI that is recorded on the company's balance sheet. Investors also form their own opinion of HCI's value that differs from its market value or its book value, called intrinsic value, which is HCI'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 HCI's market value can be influenced by many factors that don't directly affect HCI'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 HCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if HCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, HCI'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.
HCI '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 HCI'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 HCI.
| 04/28/2025 |
| 07/27/2025 |
If you would invest 0.00 in HCI on April 28, 2025 and sell it all today you would earn a total of 0.00 from holding HCI Group or generate 0.0% return on investment in HCI over 90 days. HCI is related to or competes with Heritage Insurance, Universal Insurance, Horace Mann, NI Holdings, American Coastal, and Employers Holdings. HCI Group, Inc., together with its subsidiaries, engages in the property and casualty insurance, reinsurance, real estat... More
HCI 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 HCI'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 HCI Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 12.02 | |||
| Value At Risk | (3.47) | |||
| Potential Upside | 2.63 |
HCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HCI's standard deviation. In reality, there are many statistical measures that can use HCI historical prices to predict the future HCI's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | (0.19) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of HCI'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.
HCI Group Backtested Returns
HCI Group holds Efficiency (Sharpe) Ratio of -0.0192, which attests that the company had a -0.0192 % return per unit of risk over the last 3 months. HCI Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HCI's coefficient of variation of (3,991), and Standard Deviation of 1.88 to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of 0.3, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding HCI is expected to be smaller as well. At this point, HCI Group has a negative expected return of -0.0365%. Please make sure to check out HCI's total risk alpha, kurtosis, market facilitation index, as well as the relationship between the value at risk and rate of daily change , to decide if HCI Group performance from the past will be repeated in the future.
Auto-correlation | -0.69 |
Very good reverse predictability
HCI Group has very good reverse predictability. Overlapping area represents the amount of predictability between HCI time series from 28th of April 2025 to 12th of June 2025 and 12th of June 2025 to 27th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of HCI Group price movement. The serial correlation of -0.69 indicates that around 69.0% of current HCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 30.12 |
HCI Group lagged returns against current returns
Autocorrelation, which is HCI 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 HCI's stock expected returns. We can calculate the autocorrelation of HCI returns to help us make a trade decision. For example, suppose you find that HCI 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 |
HCI 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 HCI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HCI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HCI stock over time.
Current vs Lagged Prices |
| Timeline |
HCI Lagged Returns
When evaluating HCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HCI stock have on its future price. HCI 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, HCI autocorrelation shows the relationship between HCI stock current value and its past values and can show if there is a momentum factor associated with investing in HCI Group.
Regressed Prices |
| Timeline |
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Check out HCI Correlation, HCI Volatility and HCI Alpha and Beta module to complement your research on HCI. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
HCI 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.