PortfoliosLab logoPortfoliosLab logo
JNGTX vs. SCMIX
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

JNGTX vs. SCMIX - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Janus Henderson Global Technology and Innovation Fund Class D (JNGTX) and Columbia Seligman Technology and Information Fund Institutional 2 Class (SCMIX). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, JNGTX achieves a 18.30% return, which is significantly lower than SCMIX's 45.86% return. Over the past 10 years, JNGTX has underperformed SCMIX with an annualized return of 22.03%, while SCMIX has yielded a comparatively higher 26.64% annualized return.


JNGTX

1D
6.74%
1M
-6.32%
6M
15.73%
YTD
18.30%
1Y
27.44%
3Y*
28.42%
5Y*
13.93%
10Y*
22.03%
ALL TIME*
12.17%

SCMIX

1D
4.87%
1M
-3.55%
6M
32.98%
YTD
45.86%
1Y
85.10%
3Y*
39.53%
5Y*
23.75%
10Y*
26.64%
ALL TIME*
15.79%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$0.00$0.00$0.00
$0.00$0.00$0.00

JNGTX vs. SCMIX - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
JNGTX
Janus Henderson Global Technology and Innovation Fund Class D
18.30%25.00%32.34%55.33%-37.63%17.53%51.18%45.15%0.92%44.69%
SCMIX
Columbia Seligman Technology and Information Fund Institutional 2 Class
45.86%37.73%27.06%44.68%-30.96%39.37%44.85%54.60%-7.81%34.46%

Correlation

The correlation between JNGTX and SCMIX is 0.80, meaning they have usually moved in the same direction, including during past declines.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.80

Correlation (3Y)
Balances recent behavior with more history.

0.87

Correlation (5Y)
Shows whether the relationship held over a longer period.

0.91

Correlation (10Y)
Provides a long-term view across more market conditions.

0.90

Correlation (All Time)
Calculated using the full available price history since Jan 2, 2002

0.91

The correlation between JNGTX and SCMIX shifts across timeframes, from 0.80 (1 year) to 0.91 (all time), reflecting how their relationship changes across market environments.

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

JNGTX vs. SCMIX — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

JNGTX
JNGTX Risk / Return Rank: 3030
Overall Rank
JNGTX Sharpe Ratio Rank: 2828
Sharpe Ratio Rank
JNGTX Sortino Ratio Rank: 2828
Sortino Ratio Rank
JNGTX Omega Ratio Rank: 2929
Omega Ratio Rank
JNGTX Calmar Ratio Rank: 3131
Calmar Ratio Rank
JNGTX Martin Ratio Rank: 3131
Martin Ratio Rank

SCMIX
SCMIX Risk / Return Rank: 9393
Overall Rank
SCMIX Sharpe Ratio Rank: 9696
Sharpe Ratio Rank
SCMIX Sortino Ratio Rank: 8888
Sortino Ratio Rank
SCMIX Omega Ratio Rank: 8686
Omega Ratio Rank
SCMIX Calmar Ratio Rank: 9898
Calmar Ratio Rank
SCMIX Martin Ratio Rank: 9898
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

JNGTX vs. SCMIX - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Janus Henderson Global Technology and Innovation Fund Class D (JNGTX) and Columbia Seligman Technology and Information Fund Institutional 2 Class (SCMIX). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.


JNGTXSCMIXDifference
Sharpe ratioReturn per unit of total volatility

-1.84

Sortino ratioReturn per unit of downside risk

-1.86

Omega ratioGain probability vs. loss probability

1.17

1.42

-0.25

Calmar ratioReturn relative to maximum drawdown

1.32

6.39

-5.06

Martin ratioReturn relative to average drawdown

4.37

21.01

-16.64

JNGTX vs. SCMIX - Sharpe Ratio Comparison

The current JNGTX Sharpe Ratio is 0.91, which is lower than the SCMIX Sharpe Ratio of 2.76. The chart below compares the historical Sharpe Ratios of JNGTX and SCMIX, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


Loading charts...

Drawdowns

JNGTX vs. SCMIX - Drawdown Comparison

The maximum JNGTX drawdown since its inception was -84.79%, which is greater than SCMIX's maximum drawdown of -50.85%. Use the drawdown chart below to compare losses from any high point for JNGTX and SCMIX.


Loading charts...

Drawdown Indicators


JNGTXSCMIXDifference

Max Drawdown

Largest peak-to-trough decline

-84.79%

-50.85%

-33.94%

Max Drawdown (1Y)

Largest decline over 1 year

-18.53%

-12.76%

-5.77%

Max Drawdown (3Y)

Largest decline over 3 years

-23.91%

-29.08%

+5.17%

Max Drawdown (5Y)

Largest decline over 5 years

-46.46%

-37.18%

-9.28%

Max Drawdown (10Y)

Largest decline over 10 years

-46.46%

-37.18%

-9.28%

Current Drawdown

Current decline from peak

-13.04%

-8.51%

-4.53%

Average Drawdown

Average peak-to-trough decline

-40.03%

-9.38%

-30.65%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.60%

3.85%

+1.75%

Volatility

JNGTX vs. SCMIX - Volatility Comparison

Janus Henderson Global Technology and Innovation Fund Class D (JNGTX) has a higher volatility of 12.44% compared to Columbia Seligman Technology and Information Fund Institutional 2 Class (SCMIX) at 10.03%. This indicates that JNGTX's price experiences larger fluctuations and is considered to be riskier than SCMIX based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


JNGTXSCMIXDifference

Volatility (1M)

Calculated over the trailing 1-month period

12.44%

10.03%

+2.41%

Volatility (6M)

Calculated over the trailing 6-month period

23.71%

23.32%

+0.39%

Volatility (1Y)

Calculated over the trailing 1-year period

26.97%

29.59%

-2.62%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

27.52%

26.92%

+0.60%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

25.10%

26.38%

-1.28%

JNGTX vs. SCMIX - Expense Ratio Comparison

JNGTX has a 0.79% expense ratio, which is lower than SCMIX's 0.89% expense ratio.


Dividends

JNGTX vs. SCMIX - Dividend Comparison

JNGTX's dividend yield for the trailing twelve months is around 11.34%, more than SCMIX's 5.44% yield.


PositionTTM20252024202320222021202020192018201720162015
JNGTX
Janus Henderson Global Technology and Innovation Fund Class D
11.34%13.42%11.65%0.77%0.00%15.86%8.99%8.55%6.61%7.47%4.83%7.75%
SCMIX
Columbia Seligman Technology and Information Fund Institutional 2 Class
5.44%7.93%12.11%4.52%8.08%10.45%9.38%10.47%11.30%10.48%7.88%10.40%

Frequently Asked Questions


JNGTX and SCMIX have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

JNGTX has higher volatility (12.44%) compared to SCMIX (10.03%). In terms of maximum drawdown, JNGTX dropped -84.79% vs SCMIX's -50.85%.

SCMIX currently has the higher Sharpe Ratio (2.75 vs 0.91), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for JNGTX and SCMIX

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

Open Portfolio Optimizer