HCI Stock Forecast - Naive Prediction

HCI Stock  USD 121.93  0.27  0.22%   
The Naive Prediction forecasted value of HCI Group on the next trading day is expected to be 119.37 with a mean absolute deviation of 2.39 and the sum of the absolute errors of 145.87. HCI Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of HCI's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The HCI's current Asset Turnover is estimated to increase to 0.41, while Inventory Turnover is projected to decrease to (0.04). . The current Common Stock Shares Outstanding is estimated to decrease to about 9.4 M. The HCI's current Net Loss is estimated to increase to about (50 M).

Open Interest Against 2025-03-21 HCI Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast HCI's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in HCI's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for HCI stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current HCI's open interest, investors have to compare it to HCI's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of HCI is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in HCI. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

HCI Cash Forecast

Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the HCI's financial statements, enabling forecasts of their impact on future stock prices.
 
Cash  
First Reported
2006-12-31
Previous Quarter
449.1 M
Current Value
518.8 M
Quarterly Volatility
166.3 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for HCI is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of HCI Group value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

HCI Naive Prediction Price Forecast For the 2nd of February

Given 90 days horizon, the Naive Prediction forecasted value of HCI Group on the next trading day is expected to be 119.37 with a mean absolute deviation of 2.39, mean absolute percentage error of 8.96, and the sum of the absolute errors of 145.87.
Please note that although there have been many attempts to predict HCI Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that HCI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HCI Stock Forecast Pattern

Backtest HCIHCI Price PredictionBuy or Sell Advice 

HCI Forecasted Value

In the context of forecasting HCI's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. HCI's downside and upside margins for the forecasting period are 117.34 and 121.41, respectively. We have considered HCI's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
121.93
117.34
Downside
119.37
Expected Value
121.41
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of HCI stock data series using in forecasting. Note that when a statistical model is used to represent HCI stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria120.303
BiasArithmetic mean of the errors None
MADMean absolute deviation2.3913
MAPEMean absolute percentage error0.0207
SAESum of the absolute errors145.8689
This model is not at all useful as a medium-long range forecasting tool of HCI Group. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict HCI. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for HCI

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HCI Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
119.71121.74123.77
Details
Intrinsic
Valuation
LowRealHigh
109.49129.75131.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
108.15117.44126.74
Details
5 Analysts
Consensus
LowTargetHigh
127.63140.25155.68
Details

Other Forecasting Options for HCI

For every potential investor in HCI, whether a beginner or expert, HCI's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. HCI Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in HCI. Basic forecasting techniques help filter out the noise by identifying HCI's price trends.

HCI Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with HCI stock to make a market-neutral strategy. Peer analysis of HCI could also be used in its relative valuation, which is a method of valuing HCI by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

HCI Group Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of HCI's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of HCI's current price.

HCI Market Strength Events

Market strength indicators help investors to evaluate how HCI stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading HCI shares will generate the highest return on investment. By undertsting and applying HCI stock market strength indicators, traders can identify HCI Group entry and exit signals to maximize returns.

HCI Risk Indicators

The analysis of HCI's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in HCI's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hci stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Currently Active Assets on Macroaxis

When determining whether HCI Group offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of HCI's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Hci Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Hci Group Stock:
Check out Historical Fundamental Analysis of HCI to cross-verify your projections.
You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
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
12.05
Revenue Per Share
78.183
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.