Intercorp Financial Stock Forecast - Simple Regression

IFS Stock  USD 47.50  0.20  0.42%   
The Simple Regression forecasted value of Intercorp Financial Services on the next trading day is expected to be 44.15 with a mean absolute deviation of 1.37 and the sum of the absolute errors of 83.31. Intercorp Stock Forecast is based on your current time horizon.
The relative strength index (RSI) of Intercorp Financial's stock price is slightly above 68. This usually indicates that the stock is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Intercorp, making its price go up or down.

Momentum 68

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Intercorp Financial's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Intercorp Financial and does not consider all of the tangible or intangible factors available from Intercorp Financial's fundamental data. We analyze noise-free headlines and recent hype associated with Intercorp Financial Services, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Intercorp Financial's stock price prediction:
Quarterly Earnings Growth
0.212
EPS Estimate Next Quarter
4.0335
EPS Estimate Current Year
16.298
EPS Estimate Next Year
18.4525
Wall Street Target Price
56.1538
Using Intercorp Financial hype-based prediction, you can estimate the value of Intercorp Financial Services from the perspective of Intercorp Financial response to recently generated media hype and the effects of current headlines on its competitors.

Intercorp Financial Hype to Price Pattern

Investor biases related to Intercorp Financial's public news can be used to forecast risks associated with an investment in Intercorp. The trend in average sentiment can be used to explain how an investor holding Intercorp can time the market purely based on public headlines and social activities around Intercorp Financial Services. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
The Simple Regression forecasted value of Intercorp Financial Services on the next trading day is expected to be 44.15 with a mean absolute deviation of 1.37 and the sum of the absolute errors of 83.31.

Intercorp Financial after-hype prediction price

    
  USD 47.5  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Intercorp Financial to cross-verify your projections.

Intercorp Financial Additional Predictive Modules

Most predictive techniques to examine Intercorp price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Intercorp using various technical indicators. When you analyze Intercorp charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Intercorp Financial price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Intercorp Financial Simple Regression Price Forecast For the 23rd of January

Given 90 days horizon, the Simple Regression forecasted value of Intercorp Financial Services on the next trading day is expected to be 44.15 with a mean absolute deviation of 1.37, mean absolute percentage error of 2.52, and the sum of the absolute errors of 83.31.
Please note that although there have been many attempts to predict Intercorp 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 Intercorp Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Intercorp Financial Stock Forecast Pattern

Backtest Intercorp FinancialIntercorp Financial Price PredictionBuy or Sell Advice 

Intercorp Financial Forecasted Value

In the context of forecasting Intercorp Financial'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. Intercorp Financial's downside and upside margins for the forecasting period are 42.48 and 45.82, respectively. We have considered Intercorp Financial'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
47.50
44.15
Expected Value
45.82
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Intercorp Financial stock data series using in forecasting. Note that when a statistical model is used to represent Intercorp Financial 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 Criteria119.0349
BiasArithmetic mean of the errors None
MADMean absolute deviation1.3658
MAPEMean absolute percentage error0.0324
SAESum of the absolute errors83.3128
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Intercorp Financial Services historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Intercorp Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Intercorp Financial. 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.
Hype
Prediction
LowEstimatedHigh
45.8347.5049.17
Details
Intrinsic
Valuation
LowRealHigh
37.7539.4252.25
Details
Bollinger
Band Projection (param)
LowMiddleHigh
40.3443.7747.19
Details
3 Analysts
Consensus
LowTargetHigh
51.1056.1562.33
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Intercorp Financial. Your research has to be compared to or analyzed against Intercorp Financial's peers to derive any actionable benefits. When done correctly, Intercorp Financial'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 Intercorp Financial.

Intercorp Financial After-Hype Price Prediction Density Analysis

As far as predicting the price of Intercorp Financial at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Intercorp Financial or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Intercorp Financial, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Intercorp Financial Estimiated After-Hype Price Volatility

In the context of predicting Intercorp Financial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Intercorp Financial's historical news coverage. Intercorp Financial's after-hype downside and upside margins for the prediction period are 45.83 and 49.17, respectively. We have considered Intercorp Financial's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
47.50
47.50
After-hype Price
49.17
Upside
Intercorp Financial is very steady at this time. Analysis and calculation of next after-hype price of Intercorp Financial is based on 3 months time horizon.

Intercorp Financial Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Intercorp Financial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Intercorp Financial backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Intercorp Financial, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.22 
1.67
  0.04 
  0.01 
10 Events / Month
8 Events / Month
In about 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
47.50
47.50
0.00 
1,044  
Notes

Intercorp Financial Hype Timeline

On the 22nd of January Intercorp Financial is traded for 47.50. The entity has historical hype elasticity of -0.04, and average elasticity to hype of competition of 0.01. Intercorp is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.22%. %. The volatility of related hype on Intercorp Financial is about 2569.23%, with the expected price after the next announcement by competition of 47.51. About 73.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.47. Some equities with similar Price to Book (P/B) outperform the market in the long run. Intercorp Financial has Price/Earnings To Growth (PEG) ratio of 0.85. The entity recorded earning per share (EPS) of 5.05. The firm last dividend was issued on the 24th of April 2025. Intercorp Financial had 1:16 split on the 6th of May 2009. Considering the 90-day investment horizon the next forecasted press release will be in about 10 days.
Check out Historical Fundamental Analysis of Intercorp Financial to cross-verify your projections.

Intercorp Financial Related Hype Analysis

Having access to credible news sources related to Intercorp Financial's direct competition is more important than ever and may enhance your ability to predict Intercorp Financial's future price movements. Getting to know how Intercorp Financial's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Intercorp Financial may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
HWCHancock Whitney Corp(0.42)10 per month 0.64  0.19  2.85 (1.12) 6.52 
UBSIUnited Bankshares(0.32)9 per month 0.83  0.14  3.05 (1.84) 8.03 
OZKBank Ozk 1.07 11 per month 1.09 (0.02) 2.43 (1.53) 6.11 
ABCBAmeris Bancorp(0.33)4 per month 0.88  0.11  2.71 (1.78) 5.90 
AVALGrupo Aval(0.01)9 per month 1.47  0.13  2.79 (2.90) 7.37 
AXAxos Financial(0.33)15 per month 1.13  0.17  3.18 (2.33) 7.14 
GBCIGlacier Bancorp 0.61 16 per month 1.42  0.06  3.25 (1.80) 8.19 
AUBAtlantic Union Bankshares 0.95 7 per month 1.11  0.09  3.79 (1.90) 7.22 
WBSWebster Financial(0.24)10 per month 0.84  0.16  2.80 (1.70) 5.74 
IBOCInternational Bancshares(0.33)24 per month 1.22  0.02  2.75 (2.01) 7.54 

Other Forecasting Options for Intercorp Financial

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

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

Intercorp Financial Market Strength Events

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

Intercorp Financial Risk Indicators

The analysis of Intercorp Financial'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 Intercorp Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting intercorp 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.

Story Coverage note for Intercorp Financial

The number of cover stories for Intercorp Financial depends on current market conditions and Intercorp Financial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Intercorp Financial is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Intercorp Financial's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Intercorp Financial Short Properties

Intercorp Financial's future price predictability will typically decrease when Intercorp Financial's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Intercorp Financial Services often depends not only on the future outlook of the potential Intercorp Financial's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Intercorp Financial's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding114.3 M
Cash And Short Term Investments33.4 B

Additional Tools for Intercorp Stock Analysis

When running Intercorp Financial's price analysis, check to measure Intercorp Financial'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 Intercorp Financial is operating at the current time. Most of Intercorp Financial's value examination focuses on studying past and present price action to predict the probability of Intercorp Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Intercorp Financial's price. Additionally, you may evaluate how the addition of Intercorp Financial to your portfolios can decrease your overall portfolio volatility.