Hci Group Stock Market Value
| HCI Stock | USD 113.63 1.16 1.01% |
| Symbol | HCI |
HCI Group Price To Book Ratio
Is HCI's industry 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 7.62 | Revenue Per Share 65.815 | 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.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in HCI on March 26, 2024 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 30 days. HCI is related to or competes with Universal Insurance, Kingstone Companies, Horace Mann, Heritage Insurance, United Fire, NI Holdings, and Donegal Group. 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.
| Downside Deviation | 1.53 | |||
| Information Ratio | 0.1415 | |||
| Maximum Drawdown | 16.73 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 3.19 |
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 | 0.1207 | |||
| Jensen Alpha | 0.3392 | |||
| Total Risk Alpha | 0.0963 | |||
| Sortino Ratio | 0.2185 | |||
| Treynor Ratio | 0.4446 |
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 appears to be very steady, given 3 months investment horizon. HCI Group holds Efficiency (Sharpe) Ratio of 0.16, which attests that the company had a 0.16% return per unit of risk over the last 3 months. We have found thirty technical indicators for HCI Group, which you can use to evaluate the volatility of the entity. Please utilize HCI's downside deviation of 1.53, and Semi Deviation of 1.32 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, HCI holds a performance score of 12. The firm retains a Market Volatility (i.e., Beta) of 0.94, which attests to possible diversification benefits within a given portfolio. HCI returns are very sensitive to returns on the market. As the market goes up or down, HCI is expected to follow. Please check HCI's value at risk, kurtosis, and the relationship between the sortino ratio and semi variance , to make a quick decision on whether HCI's current trending patterns will revert.
Auto-correlation | 0.02 |
Virtually no predictability
HCI Group has virtually no predictability. Overlapping area represents the amount of predictability between HCI time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 HCI Group price movement. The serial correlation of 0.02 indicates that only 2.0% of current HCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | -0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 2.77 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards HCI in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, HCI's short interest history, or implied volatility extrapolated from HCI options trading.
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Try AI Portfolio ArchitectCheck out HCI Correlation, HCI Volatility and HCI Alpha and Beta module to complement your research on HCI. Note that the HCI Group information on this page should be used as a complementary analysis to other HCI's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Complementary Tools for HCI Stock analysis
When running HCI's price analysis, check to measure HCI'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 HCI is operating at the current time. Most of HCI's value examination focuses on studying past and present price action to predict the probability of HCI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HCI's price. Additionally, you may evaluate how the addition of HCI to your portfolios can decrease your overall portfolio volatility.
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