Erie Indemnity Stock Forecast - Naive Prediction

ERIE Stock  USD 382.21  0.65  0.17%   
The Naive Prediction forecasted value of Erie Indemnity on the next trading day is expected to be 388.18 with a mean absolute deviation of  6.20  and the sum of the absolute errors of 378.37. Erie Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Erie Indemnity stock prices and determine the direction of Erie Indemnity's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Erie Indemnity's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Erie Indemnity's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Erie Indemnity's systematic risk associated with finding meaningful patterns of Erie Indemnity fundamentals over time.
Check out Historical Fundamental Analysis of Erie Indemnity to cross-verify your projections.
For information on how to trade Erie Stock refer to our How to Trade Erie Stock guide.
  
At present, Erie Indemnity's Asset Turnover is projected to increase slightly based on the last few years of reporting. . The current year's Common Stock Shares Outstanding is expected to grow to about 56.2 M, whereas Net Income Applicable To Common Shares is forecasted to decline to about 219.9 M.
Most investors in Erie Indemnity 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 Erie Indemnity's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Erie Indemnity's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Erie Indemnity is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Erie Indemnity 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.

Erie Indemnity Naive Prediction Price Forecast For the 24th of April

Given 90 days horizon, the Naive Prediction forecasted value of Erie Indemnity on the next trading day is expected to be 388.18 with a mean absolute deviation of 6.20, mean absolute percentage error of 78.51, and the sum of the absolute errors of 378.37.
Please note that although there have been many attempts to predict Erie 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 Erie Indemnity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Erie Indemnity Stock Forecast Pattern

Backtest Erie IndemnityErie Indemnity Price PredictionBuy or Sell Advice 

Erie Indemnity Forecasted Value

In the context of forecasting Erie Indemnity'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. Erie Indemnity's downside and upside margins for the forecasting period are 386.36 and 389.99, respectively. We have considered Erie Indemnity'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
382.21
386.36
Downside
388.18
Expected Value
389.99
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 Erie Indemnity stock data series using in forecasting. Note that when a statistical model is used to represent Erie Indemnity 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 Criteria122.4737
BiasArithmetic mean of the errors None
MADMean absolute deviation6.2028
MAPEMean absolute percentage error0.0164
SAESum of the absolute errors378.372
This model is not at all useful as a medium-long range forecasting tool of Erie Indemnity. 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 Erie Indemnity. 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 Erie Indemnity

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Erie Indemnity. 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 Erie Indemnity'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
380.36382.17383.98
Details
Intrinsic
Valuation
LowRealHigh
260.47262.28420.43
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Erie Indemnity. Your research has to be compared to or analyzed against Erie Indemnity's peers to derive any actionable benefits. When done correctly, Erie Indemnity'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 Erie Indemnity.

Other Forecasting Options for Erie Indemnity

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

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

Erie Indemnity 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 Erie Indemnity'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 Erie Indemnity's current price.

Erie Indemnity Market Strength Events

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

Erie Indemnity Risk Indicators

The analysis of Erie Indemnity'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 Erie Indemnity's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting erie 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.

Pair Trading with Erie Indemnity

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 Erie Indemnity 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 Erie Indemnity will appreciate offsetting losses from the drop in the long position's value.

Moving together with Erie Stock

  0.76AJG Arthur J Gallagher Earnings Call This WeekPairCorr
  0.76AON Aon PLC Earnings Call This WeekPairCorr

Moving against Erie Stock

  0.64FANH Fanhua IncPairCorr
  0.52DHIL Diamond Hill InvestmentPairCorr
  0.5ALIZY Allianz SE ADRPairCorr
  0.42EHTH eHealth Financial Report 14th of May 2024 PairCorr
The ability to find closely correlated positions to Erie Indemnity could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Erie Indemnity 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 Erie Indemnity - 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 Erie Indemnity to buy it.
The correlation of Erie Indemnity 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 Erie Indemnity moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Erie Indemnity 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 Erie Indemnity 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.
Pair CorrelationCorrelation Matching
When determining whether Erie Indemnity is a strong investment it is important to analyze Erie Indemnity's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Erie Indemnity's future performance. For an informed investment choice regarding Erie Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Erie Indemnity to cross-verify your projections.
For information on how to trade Erie Stock refer to our How to Trade Erie Stock guide.
You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.

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When running Erie Indemnity's price analysis, check to measure Erie Indemnity'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 Erie Indemnity is operating at the current time. Most of Erie Indemnity's value examination focuses on studying past and present price action to predict the probability of Erie Indemnity's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Erie Indemnity's price. Additionally, you may evaluate how the addition of Erie Indemnity to your portfolios can decrease your overall portfolio volatility.
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Is Erie Indemnity'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 Erie Indemnity. If investors know Erie 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 Erie Indemnity listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Erie Indemnity is measured differently than its book value, which is the value of Erie that is recorded on the company's balance sheet. Investors also form their own opinion of Erie Indemnity's value that differs from its market value or its book value, called intrinsic value, which is Erie Indemnity'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 Erie Indemnity's market value can be influenced by many factors that don't directly affect Erie Indemnity'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 Erie Indemnity's value and its price as these two are different measures arrived at by different means. Investors typically determine if Erie Indemnity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Erie Indemnity'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.