Simt Sampp 500 Fund Manager Performance Evaluation

SSPIX Fund  USD 98.61  -0.58  -0.58%   
The fund secures a Beta (Market Risk) of 0.67, which means possible diversification benefits within a given portfolio. SIMT SP moves in the same direction as the market but with less intensity, offering a degree of cushion during selloffs.
Risk-Adjusted Performance
Contained
 
Weak
 
Strong
Compared with the broader market, risk-adjusted returns on Simt Sampp 500 rank lower than 6% of all funds and fund portfolios over the last 90 days. This score becomes more useful when investors compare it with downside risk, Sharpe Ratio, and current trend stability. Despite somewhat strong forward indicators, SIMT SP is not utilizing all of its potential. The current price disturbance may contribute to short-term losses for investors. Learn More
Expense Ratio Date31st of January 2026
Expense Ratio0.2500
  

Relative Risk vs. Return Landscape

If you had invested $ 9,321 in Simt Sampp 500 on December 14, 2025 and sold it today you would have earned a total of $ 540.00 from holding Simt Sampp 500 or generated 5.79% return on investment over 90 days. Simt Sampp 500 is currently producing a 0.099% return and carries 1.1789% volatility of returns over 90 trading days. Put another way, 10% of traded mutual funds are less volatile than SIMT, and 99% of all traded equity instruments are likely to generate higher returns over the next 90 trading days.
  Expected Return   
       Risk  
This comparison focuses on expected return, realized volatility, and risk efficiency versus the market. It highlights whether the current reward profile compensates for the level of uncertainty assumed. Assuming a 90-day horizon SIMT SP is expected to generate 1.49 times more return on investment than the market. However, the fund is 1.49 times more volatile than its market benchmark. It trades about 0.08 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.08 per unit of risk.

Historical Prices of Simt Sampp 500

Below is the normalized historical share price chart for Simt Sampp 500 extending back to July 09, 1997. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of SIMT SP stands at 98.61, as last reported on the 14th of March 2026, with the highest price reaching 98.61 and the lowest price hitting 98.61 during the day.
Macro event markers
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes

Target Price Odds to finish over Current Price

For SIMT Mutual Fund, the tendency of price to converge toward a long-term average provides a useful baseline for forecasting. Nonetheless, studies have found that some funds are persistently mispriced, with the spread correcting only when market dynamics shift significantly.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
98.61 90 days 98.61
about 82.3
Based on standard probability analysis, the odds of SIMT SP moving above the current price in 90 days from now are about 82.3 (The chart above shows the probability distribution of SIMT Mutual Fund prices over the next 90 days).
Assuming a 90-day horizon SIMT SP has a beta of 0.67. This usually implies as returns on the market go up, SIMT SP's average returns are expected to increase less than the benchmark. However, during a bear market, the loss from holding Simt Sampp 500 is expected to be smaller as well. Additionally, Simt Sampp 500 has an alpha of 0.1054, implying that it can generate a 0.1054 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   SIMT SP Price Density   
       Price  

Predictive Modules for SIMT SP

Accurately predicting the fund market is one of the most challenging tasks in investing. For Simt Sampp 500, a range of forecasting tools can be applied, though none offer certainty. Despite this, systematic forecasting is a critical step in the investment process — comparing methods and results helps investors develop a more nuanced view of potential outcomes.
The mean reversion principle applied to SIMT SP'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
91.6692.84108.47
Details
Intrinsic
Valuation
LowRealHigh
88.75106.54107.72
Details
Naive
Forecast
LowNextHigh
97.5898.7699.94
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
99.71102.09104.47
Details
Peer comparison enriches SIMT SP analysis by revealing how the company ranks against competitors on key metrics. This relative perspective often changes investment conclusions drawn from standalone fundamental analysis.

Primary Risk Indicators

The past 10-20 years have brought considerable volatility to the mutual fund market, and SIMT SP has been no exception. Sharp price drops and strong rallies have made hedging an important tool for managing portfolio risk. Investors in Simt Sampp 500 should monitor SIMT SP's fundamental risk indicators to stay ahead of market swings.
α
Alpha over Dow Jones
0.11
β
Beta against Dow Jones0.67
σ
Overall volatility
2.87
Ir
Information ratio 0.11

Investor Alerts and Insights

Alerts and suggestions for SIMT SP give investors a structured way to monitor the fund for material events. Simt Sampp 500 notifications flag important changes in technical indicators, fundamentals, and market conditions that may warrant attention.

SIMT SP Fundamentals Growth

SIMT Mutual Fund performance is fundamentally tied to SIMT SP's financial health and growth outlook. Revenue and earnings trends, operating margins, and capital structure decisions all play a significant role in shaping investor expectations for SIMT Mutual Fund.

Performance Metrics & Calculation Methodology

SIMT SP performance is typically evaluated through NAV-based returns relative to category peers and stated objectives. Certain defensive traits may reduce sensitivity to broader macroeconomic fluctuations.

Inputs for Simt Sampp 500 come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. Some fields can appear with publication lag. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Michael Smolkin - Member of Macroaxis Board of Directors