Reinsurance Group Stock Forecast - Polynomial Regression

RGA Stock  USD 203.22  2.30  1.14%   
The Polynomial Regression forecasted value of Reinsurance Group of on the next trading day is expected to be 199.42 with a mean absolute deviation of  3.30  and the sum of the absolute errors of 204.40. Reinsurance Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Reinsurance Group stock prices and determine the direction of Reinsurance Group of's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Reinsurance Group's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Reinsurance Group's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Reinsurance Group's systematic risk associated with finding meaningful patterns of Reinsurance Group fundamentals over time.
Check out Historical Fundamental Analysis of Reinsurance Group to cross-verify your projections.
  
At present, Reinsurance Group's Payables Turnover is projected to increase slightly based on the last few years of reporting. The current year's Receivables Turnover is expected to grow to 5.87, whereas Inventory Turnover is forecasted to decline to (0.06). . As of May 8, 2024, Common Stock Shares Outstanding is expected to decline to about 64.9 M. In addition to that, Net Income Applicable To Common Shares is expected to decline to about 540.7 M.

Open Interest Against 2024-05-17 Reinsurance Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Reinsurance Group'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 Reinsurance Group's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Reinsurance Group 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 Reinsurance Group's open interest, investors have to compare it to Reinsurance Group'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 Reinsurance Group 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 Reinsurance. 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.
Most investors in Reinsurance Group cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Reinsurance Group's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Reinsurance Group's price structures and extracts relationships that further increase the generated results' accuracy.
Reinsurance Group polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Reinsurance Group of as well as the accuracy indicators are determined from the period prices.

Reinsurance Group Polynomial Regression Price Forecast For the 9th of May

Given 90 days horizon, the Polynomial Regression forecasted value of Reinsurance Group of on the next trading day is expected to be 199.42 with a mean absolute deviation of 3.30, mean absolute percentage error of 16.16, and the sum of the absolute errors of 204.40.
Please note that although there have been many attempts to predict Reinsurance 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 Reinsurance Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Reinsurance Group Stock Forecast Pattern

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Reinsurance Group Forecasted Value

In the context of forecasting Reinsurance Group'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. Reinsurance Group's downside and upside margins for the forecasting period are 198.15 and 200.69, respectively. We have considered Reinsurance Group'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
203.22
198.15
Downside
199.42
Expected Value
200.69
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Reinsurance Group stock data series using in forecasting. Note that when a statistical model is used to represent Reinsurance Group 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 Criteria122.7308
BiasArithmetic mean of the errors None
MADMean absolute deviation3.2967
MAPEMean absolute percentage error0.0177
SAESum of the absolute errors204.3981
A single variable polynomial regression model attempts to put a curve through the Reinsurance Group historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Reinsurance Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Reinsurance 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 Reinsurance Group'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
199.66200.92202.18
Details
Intrinsic
Valuation
LowRealHigh
180.83227.03228.29
Details
Bollinger
Band Projection (param)
LowMiddleHigh
178.03189.66201.30
Details
11 Analysts
Consensus
LowTargetHigh
154.42169.69188.36
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Reinsurance Group. Your research has to be compared to or analyzed against Reinsurance Group's peers to derive any actionable benefits. When done correctly, Reinsurance Group's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Reinsurance Group.

Other Forecasting Options for Reinsurance Group

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

Reinsurance Group 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 Reinsurance Group stock to make a market-neutral strategy. Peer analysis of Reinsurance Group could also be used in its relative valuation, which is a method of valuing Reinsurance Group by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Reinsurance 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 Reinsurance Group'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 Reinsurance Group's current price.

Reinsurance Group Market Strength Events

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

Reinsurance Group Risk Indicators

The analysis of Reinsurance Group'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 Reinsurance Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting reinsurance 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.

Reinsurance Group Investors Sentiment

The influence of Reinsurance Group's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Reinsurance. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Reinsurance Group's public news can be used to forecast risks associated with an investment in Reinsurance. The trend in average sentiment can be used to explain how an investor holding Reinsurance can time the market purely based on public headlines and social activities around Reinsurance Group of. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Reinsurance Group's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Reinsurance Group's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Reinsurance Group's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Reinsurance Group.
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 Reinsurance Group 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, Reinsurance Group's short interest history, or implied volatility extrapolated from Reinsurance Group options trading.

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When determining whether Reinsurance Group offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Reinsurance Group'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 Reinsurance Group Of Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Reinsurance Group Of Stock:
Check out Historical Fundamental Analysis of Reinsurance Group to cross-verify your projections.
Note that the Reinsurance Group information on this page should be used as a complementary analysis to other Reinsurance Group'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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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When running Reinsurance Group's price analysis, check to measure Reinsurance Group'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 Reinsurance Group is operating at the current time. Most of Reinsurance Group's value examination focuses on studying past and present price action to predict the probability of Reinsurance Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Reinsurance Group's price. Additionally, you may evaluate how the addition of Reinsurance Group to your portfolios can decrease your overall portfolio volatility.
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Is Reinsurance Group'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 Reinsurance Group. If investors know Reinsurance 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 Reinsurance Group 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
(0.15)
Dividend Share
3.35
Earnings Share
12.88
Revenue Per Share
312.687
Quarterly Revenue Growth
0.491
The market value of Reinsurance Group is measured differently than its book value, which is the value of Reinsurance that is recorded on the company's balance sheet. Investors also form their own opinion of Reinsurance Group's value that differs from its market value or its book value, called intrinsic value, which is Reinsurance Group'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 Reinsurance Group's market value can be influenced by many factors that don't directly affect Reinsurance Group'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 Reinsurance Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if Reinsurance Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Reinsurance Group'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.