CREF Inflation-Linked Fund Forward View - Simple Moving Average

QCILIX Fund  USD 91.94  0.21  0.23%   
Using the latest data, RSI for CREF Inflation-Linked is 0, signaling extreme oversold conditions. Readings below 20 are commonly associated with potential stabilization zones.
Momentum
Sell Peaked
 
Oversold
 
Overbought
Forecasting CREF Inflation-Linked stock price is inherently uncertain, but structured approaches to analyzing market sentiment can improve the odds. This module tracks the noise around Cref Inflation Linked Bond to identify periods where price and perception diverge.
The summary pairs CREF Inflation-Linked's headline activity with price response context.
The Simple Moving Average forecasted value of Cref Inflation Linked Bond on the next trading day is expected to be 91.94 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.32.
CREF Inflation-Linked after-hype prediction price
    
  $ 91.94  
Hype analysis provides context that aligns with forecasting models, technical indicators, and earnings views.
  
Check projections for CREF Inflation-Linked using fundamental analysis of CREF Inflation-Linked. The analysis adds fundamental context for the projection set.

CREF Inflation-Linked Additional Predictive Modules

Forecasting CREF Inflation-Linked's price movement relies on structured analysis of indicator behavior, momentum signatures, and historical volatility patterns. Model confidence should be calibrated against recent prediction accuracy for CREF, not just historical fit.
A two period moving average forecast for CREF Inflation-Linked is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Simple Moving Average Price Forecast For the 18th of March 2026

Given 90 days horizon, the Simple Moving Average forecasted value of Cref Inflation Linked Bond on the next trading day is expected to be 91.94 with a mean absolute deviation of 0.11 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 6.32 .
Please note that although there have been many attempts to predict CREF Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that CREF Inflation-Linked's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fund Forecast Pattern

Forecasted Value

Forecasting Cref Inflation Linked Bond for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
91.94
91.94
Expected Value
92.06
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of CREF Inflation-Linked fund data series using in forecasting. Note that when a statistical model is used to represent CREF Inflation-Linked fund, 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 Criteria112.0149
BiasArithmetic mean of the errors -0.0263
MADMean absolute deviation0.1053
MAPEMean absolute percentage error0.0012
SAESum of the absolute errors6.32
The simple moving average model is conceptually a linear regression of the current value of Cref Inflation Linked Bond price series against current and previous (unobserved) value of CREF Inflation-Linked. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future
The mean reversion principle applied to CREF Inflation-Linked's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
Hype
Prediction
LowEstimatedHigh
91.8291.9492.06
Details
Intrinsic
Valuation
LowRealHigh
84.3884.50101.13
Details
Bollinger
Band Projection (param)
LowMiddleHigh
91.2291.7692.30
Details
Peer comparison enriches CREF Inflation-Linked analysis by revealing how the company ranks against competitors on key metrics. This relative perspective often changes investment conclusions drawn from standalone fundamental analysis.

Estimiated After-Hype Price Volatility

Probability distributions applied to CREF Inflation-Linked price forecasting provide a more honest representation of uncertainty than single point estimates. The shape of CREF Inflation-Linked's distribution - whether it is symmetric, skewed, or fat-tailed - carries important information for risk.
   Next price density   
       Expected price to next headline  

Price Outlook Analysis

Have you ever been surprised when a price of a Fund such as CREF Inflation-Linked is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading CREF Inflation-Linked 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 Fund 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 CREF Inflation-Linked, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.02 
0.12
 0.00  
  0.01 
0 Events
1 Events
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
91.94
91.94
0.00 
0.00  
Notes

Hype Timeline

Cref Inflation Linked is at this time traded for 91.94. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. CREF 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 insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.02%. %. The volatility of related hype on CREF Inflation-Linked is about 29.19%, with the expected price after the next announcement by competition of 91.95. The fund had not issued any dividends in recent years. Assuming the 90-day trading horizon the next forecasted press release will be within a week.
Check projections for CREF Inflation-Linked using fundamental analysis of CREF Inflation-Linked. The analysis adds fundamental context for the projection set.

Related Hype Analysis

When a direct competitor of CREF Inflation-Linked experiences a significant news event, the market often re-rates CREF Inflation-Linked's shares in sympathy or in contrast, depending on whether the news affects the sector broadly or competitively.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
AMFZX361 Managed Futures 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
LFTAXLincoln Inflation Plus 0.04 1 per month 0.72 0.28 1.16 -1.17 4.38
NWXNXNationwide Inflation Protected Securities 1.94 3 per month 0.06 0.19 0.22 -0.22 0.66
PFFAXPrinceton Futures Strategy 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
DIASXDreyfus Inflation Adjusted 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
ANBIXAb Bond Inflation-0.39 5 per month 0.00  0.30 0.19 -0.19 0.48
FIBLXAmerican Funds Inflation 2.11 1 per month 0.06 0.18 0.32 -0.21 0.74
XWIWXWestern Assetclaymore Inflation Linked 0.00 0 per month 0.00 -0.02 0.31 -0.31 1.03
FRIPXNuveen Inflation Protected 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 

Other Forecasting Options for CREF Inflation-Linked

Regardless of investment experience, understanding CREF Inflation-Linked's price movement is essential for anyone considering a position in CREF. Price charts for CREF Fund are often filled with noise that can lead to poor investment choices if not properly filtered.

CREF Inflation-Linked Related Equities

The following equities are related to CREF Inflation-Linked and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing CREF Inflation-Linked against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

CREF Inflation-Linked Market Strength Events

Market strength indicators for CREF Inflation-Linked give investors insight into the fund's responsiveness to broader market forces. Tracking these indicators helps investors make informed timing decisions and identify periods where trading CREF Inflation-Linked is likely to be most rewarding.

CREF Inflation-Linked Risk Indicators

A thorough review of CREF Inflation-Linked's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis helps investors determine the appropriate level of risk to accept when holding CREF Inflation-Linked's.
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 CREF Inflation-Linked

A coverage review of Cref Inflation Linked Bond helps investors see when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage helps investors separate durable relevance from temporary noise.

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