JPMorgan Smartretirement Competition

SRJSX Fund  USD 21.29  -0.11  -0.51%   
The fund is listed under the Target-Date 2035 category and is part of the JPMorgan family. JPMorgan Smartretirement competes with ARCHER BALANCED, Intal High, Versatile Bond, FEDERATED MDT, and Artisan Thematic and other related companies. The list provides context for competitive positioning. This module contrasts JPMorgan Smartretirement with competitors to reveal risk-adjusted opportunity gaps.

JPMorgan Smartretirement and Aston/Crosswind Small Correlation Summary

Almost no diversification
Across the chosen horizon, SRJSX and ACWDX show a correlation of 0.91 and fall into the Almost no diversification bucket. Used correctly, the chart helps investors judge whether adding the second position genuinely diversifies the first.

Moving together with JPMorgan Mutual Fund

  1.0SRJIX JPMorgan SmartretirementPairCorr
  1.0SRJQX JPMorgan SmartretirementPairCorr
  1.0SRJPX JPMorgan SmartretirementPairCorr
  1.0SRJYX JPMorgan SmartretirementPairCorr

Moving against JPMorgan Mutual Fund

  0.47JMNCX JPMorgan Research MarketPairCorr
Specify up to 10 symbols:
Mean reversion in JPMorgan Smartretirement is more reliable over longer time horizons. Short-term deviations can persist and even widen before correcting, making position sizing and risk management critical.
Hype
Prediction
LowEstimatedHigh
20.7621.2921.82
Details
Intrinsic
Valuation
LowRealHigh
19.1622.2922.82
Details
Naive
Forecast
LowNextHigh
20.4620.9921.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.3322.0022.67
Details
Effective investment decisions about JPMorgan Smartretirement require competitive context. Benchmarking JPMorgan Smartretirement's against peers on earnings quality, growth consistency, and balance sheet strength can materially change the investment conclusion.

JPMorgan Smartretirement Competition Correlation Matrix

Competition correlation for JPMorgan Smartretirement 2035 matters because related securities often respond to the same industry, factor, or macro drivers even when their business stories differ. The current classification points to the Target-Date 2035 category. In practical terms, lower correlation may offer better diversification while higher correlation may leave the portfolio more exposed to one shared driver.

High positive correlations

PRVHXDIHRX
DIHRXARCHX
PRVHXARCHX
ACWDXAPDTX
APDTXDIHRX
ACWDXDIHRX
  

High negative correlations

QALGXARCHX
QALGXPRVHX
QALGXDIHRX
ACWDXQALGX
RYANXARCHX

Risk-Adjusted Indicators

There is a big difference between JPMorgan Mutual Fund performing well and JPMorgan Smartretirement Mutual Fund doing well as a business compared to the competition. A thorough review of JPMorgan Smartretirement's risk-adjusted indicators provides a clearer picture of whether returns are being earned efficiently. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

JPMorgan Smartretirement Competitive Analysis

    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
SRJSX ARCHX DIHRX PRVHX QALGX APDTX RYANX ACWDX
 0.51 
21.29
JPMorgan
 0.54 
20.13
ARCHER
 0.95 
15.59
Intal
 0.06 
63.52
Versatile
 1.08 
35.66
FEDERATED
 1.38 
24.37
Artisan
 0.89 
148.65
NOVA
 0.18 
17.09
Aston/Crosswind
Market Volatility
(90 Days Market Risk)
Market Performance
(90 Days Performance)
Odds of Financial Distress
(Probability Of Bankruptcy)
Current Valuation
(Equity Enterprise Value)
Buy or Sell Analysis
(Average Analysts Consensus)
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Net Asset
Minimum Initial Investment
Price To Book
Five Year Return
One Year Return
Last Dividend Paid
Price To Earning
Price To Sales
Cash Position Weight
Equity Positions Weight
Three Year Return
Annual Yield
Year To Date Return
Bond Positions Weight
Ten Year Return
Day Typical Price
Period Momentum Indicator
Rate Of Daily Change
Day Median Price
Price Action Indicator
Relative Strength Index
Coefficient Of Variation
Mean Deviation
Jensen Alpha
Total Risk Alpha
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
Skewness
Semi Deviation
Information Ratio
Value At Risk
Expected Short fall
Downside Deviation
Semi Variance

JPMorgan Smartretirement Competition Peer Performance Charts

How to Analyze JPMorgan Smartretirement Against Peers

JPMorgan Smartretirement's peer analysis compares JPMorgan Smartretirement with related companies to put valuation, quality, and risk metrics in context. This helps determine whether recent performance is company-specific or broadly sector-driven. A practical workflow includes:
  • Set a relevant peer group: Include direct competitors and close alternatives with comparable business exposure.
  • Benchmark core financials: Compare profitability, growth, capital structure, and cash flow quality.
  • Check valuation dispersion: Review whether JPMorgan Smartretirement trades at a premium or discount versus peers and why.
  • Evaluate risk profile: Compare volatility, drawdowns, and correlation to avoid false diversification assumptions.
  • Document the thesis: Record where JPMorgan Smartretirement leads or lags and what catalysts could close or widen the gap.
Use this as an educational baseline, then validate conclusions with current filings, market conditions, and portfolio objectives.

Peer Comparison Metrics & Methodology

Revenue growth ranking for JPMorgan Smartretirement within its peer group shows whether it is gaining or losing competitive position - useful alongside absolute growth rates. The peer set can help frame whether recent outperformance is broad-based or company-specific.

The analytics block for JPMorgan Smartretirement 2035 relies on fund disclosures and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor.

This content is curated and reviewed by:

Rifka Kats - Member of Macroaxis Editorial Board
Last reviewed on February 28th, 2026