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ANALYTICS
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KGIIX

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Peer Universe

Reference set for percentile ranks and factor bars

Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

KGIIX

Kopernik International Fund

Expense Ratio
1.03%
AUM
$991M
Inception
6/30/2015
1Y Return
+13.4%71st %ilevs 1,365 asset-class peers
·

The fund invests primarily in equity securities of companies located worldwide, including common and preferred stocks, convertible securities, depositary receipts, and private placements. It follows a multi-capitalization approach, focusing on mid- to large-capitalization companies while allowing for small-cap investments, and may allocate up to 35% of net assets in a single country. The investment strategy is active and research-driven, emphasizing value-oriented securities selected through in-depth fundamental analysis, with a potential focus on emerging or frontier markets.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
KGIIX
Kopernik International Fund
13.4%13.4%13.9%0.69-12.0%
ⓘ Methodology

ETF performance based on market prices. Drag on chart to select period. Sharpe Ratio uses the one-month T-bill as the risk-free rate. From 10/7/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
KGIIX
Kopernik International Fund
6.3%0.0%-0.4%-5.7%4.3%-2.4%13.4%22.4%19.8%9.3%10.0%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
20152016201720182019202020212022202320242025YTD
KGIIX
Kopernik International Fund
-10.8%*26.0%10.5%-6.2%16.4%18.9%16.6%-14.1%13.9%-3.7%55.0%6.3%
ⓘ Methodology

* partial year — the series ran for only part of it (its first year, or the year it closed); the figure is the return over the part it did run. ETF performance based on market prices. As of 10/7/2026.

Correlation Matrix

Benchmark

Select a second series, or to correlate with the seven research factors.

Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
KGIIXDev Ex-US
Kopernik International Fund
3.0%0.72**-0.140.60**-0.14-0.70**-0.22**-0.48**0.58226
ⓘ Methodology

ETF performance based on market prices. Dev Ex-US factor set. Daily OLS of excess return (fund − T-bill) on factor spread returns over the selected date range, intersected with each series' history. Bold with * |t| ≥ 1.96, ** |t| ≥ 2.58. Cell shading tracks each loading's t-stat. Betas are returns-based — compare with the holdings-based factor scores below. Factor returns are long-short spread returns (© Ken French, Dartmouth). Fama-French publishes daily factors for developed markets only, so Dev Ex-US is developed markets excluding the US and Global Dev is developed markets including it; emerging markets, a small share of world market capitalization, are not covered by the source data. From 10/7/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund Profile

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
Mutual Fund
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Sleeve Style
Mid Value
Peer Group Benchmark
Prospectus Benchmark
MSCI ACWI ex USA Index (USD) (NR)
Peer Group
Allocation - Aggressive (327 peers)
1Y Peer Percentile
67
3Y Peer Percentile
92
Expense Ratio
1.03%
5Y Tax Drag
2.33%/yr
AUM
$991M
3Y Flow
+92.2%
Yield
3.79%
Inception
6/30/2015
Holdings (Reported)
109
Turnover
53%
Equity
74%
Derivatives
1%
Net Equity Exposure
73%
Strategy Summary

The fund invests primarily in equity securities of companies located worldwide, including common and preferred stocks, convertible securities, depositary receipts, and private placements. It follows a multi-capitalization approach, focusing on mid- to large-capitalization companies while allowing for small-cap investments, and may allocate up to 35% of net assets in a single country. The investment strategy is active and research-driven, emphasizing value-oriented securities selected through in-depth fundamental analysis, with a potential focus on emerging or frontier markets.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table; tax drag from its after-tax return table. Turnover from the SEC annual report (1/8/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (61% of total assets).

LargeMidSmall
17%
13%
2%
8%
5%
5%
39%
3%
9%
Large
ValueCoreGrowth
Size
Large
31%
Mid
18%
Small
51%
Style
Value
64%
Core
21%
Growth
15%
ⓘ Methodology

Equity size and style definitions: Large vs. Small based on market cap, where Large > $70B, Mid $10-70B, and Small < $10B. Value vs. Growth based on percentile ranking on Traditional Value score within the fund's region and size cohort (equal thirds among its true equity-fund peers). This fund is not an equity fund, so the box describes its equity sleeve only (74% of assets): the sleeve's holdings are scored and ranked against equity funds of the same region and size cohort. The rest of the portfolio (bonds, cash, other assets) is not represented here. Cell shading and percentages: share of classified holdings weight per box, from stock-level classification (size on the same $70B/$10B lines; value by Traditional Value terciles across scored stocks). The dot is the average holding ranked against other funds, so dot and weights can differ at the margin. The Size and Style bars are the grid's row and column totals. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Based on equity exposure only (61% of total assets).

Intangible Value9.9
Traditional Value93.1
Small-Cap73.5
Quality6.9
Momentum68.3
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Ranked within the clean equity fund universe, one entry per fund series (lowest: 0, highest: 100; the middle of the range is denser than the ends). Blue dots mark the fund; the shaded band spans the Asset Allocation Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Asset Allocation Funds

Based on equity exposure only (61% of total assets).

Valuation
Book-to-Price (NTM)108
Sales-to-Price (NTM)112
Earnings-to-Price (NTM)9.1
Innovation/IP
R&D / Mkt Cap0.70
Patents / Mkt Cap0.23
Brand
Sales & Marketing / Mkt Cap13.1
Trademarks / Mkt Cap0.12
Human Capital
PhD Employees / Mkt Cap2.9
Top University Alumni / Mkt Cap3.0
Politics
Lobbying Spend / Mkt Cap2.8
AI
AI Employees / Mkt Cap1.3
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Solid blue dots mark the fund's position within the clean equity fund universe (5th–95th percentile scale); the shaded band spans the fund's broad class (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Asset Class Exposure

Equity72.3%
Fixed Income1.5%
Cash & Short-Term25.3%
Other0.9%
ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. Other is everything we could not name as an asset class: holdings the filing itself labels as other, derivative positions at the market value the filing reports rather than at notional, and funds held inside this fund whose own holdings we could not read.

Country Exposure

Level

Based on holdings that carry a country (73% of total assets).

52.1%
11.8%
7.0%
6.7%
5.5%
4.4%
4.1%
3.6%
2.6%
2.3%
1.4%
1.0%
Other1.7%
44.1%
12.8%
11.8%
5.9%
4.0%
2.2%
2.0%
1.8%
1.3%
Other2.4%
3.8%
3.6%
Other0.1%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (61% of total assets).

46.9%
12.9%
10.3%
10.3%
5.3%
5.0%
3.5%
3.2%
1.6%
1.0%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (61% of total assets).

AI Composition

Infrastructure10.7%
Early Adopter14.5%
Laggard74.8%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy93.9%
New Economy6.1%

Globalization

Multinational21.1%
Exporter16.4%
Importer19.8%
Domestic42.7%

China Exposure

China/HK Domiciled11.8%
Revenue & Operations1.6%
Operations Only5.4%
Revenue Only12.0%
No Material Exposure69.2%

Company Size

Mega (>$500B)2.4%
Large ($70–500B)7.5%
Mid ($10–70B)39.6%
Small ($1–10B)50.5%
Micro (<$1B)0.0%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 74% of net assets) — they are not portfolio weights. China exposure: domiciled = incorporated in China or Hong Kong, falling back to the filing's country for holdings outside the stock model. Among the rest, revenue = ≥15% of revenue derived from China; operations = ≥3% of LinkedIn-tracked workforce in China, or ≥2 identified Chinese suppliers making up ≥12% of those identified. China revenue is estimated where segment reporting is absent. Company size bands by holding market cap: Mega >$500B, Large $70–500B, Mid $10–70B, Small $1–10B, Micro <$1B. Old vs New Economy partitions Sparkline's 48 industries: New = technology, internet platforms and entertainment, e-commerce, payments, pharma/biotech/medtech, and renewable energy; Old = everything else. Shares are of classified holdings and sum to 100%. China shares are of total equity weight. Size shares are of scored holdings weight. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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109 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1--
24.79
--USA
2Valterra PlatinumVAL
4.92
MaterialsPrecious MetalsZAF
3K+S AktiengesellschaftSDF
3.05
MaterialsChemicals & PackagingDEU
4LG UplusA032640
2.76
CommunicationTelecommunicationsKOR
5Seabridge GoldSEA
2.74
MaterialsPrecious MetalsUSA
6GlencoreGLEN
2.62
MaterialsIndustrial MetalsGBR
7Impala Platinum HoldingsIMP
2.50
MaterialsPrecious MetalsZAF
8Golden Agri-ResourcesE5H
1.94
Consumer StaplesFood & BevSGP
9Ivanhoe MinesIVN
1.80
MaterialsIndustrial MetalsCAN
10NutrienNTR
1.63
MaterialsChemicals & PackagingUSA
ⓘ Methodology

Sector, country and factor detail need a security match; the share of weight that matched is a member figure, so the rows without one appear here with those columns blank. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings109
Effective Holdings13.8
Top 10 Weight48.8%
Max Position24.8%
Top Sector (of Net Assets)40%
Top Country (of Net Assets)37%
ⓘ Methodology

Hover or click for definitions. Solid blue dots mark the fund: percentage rows on a 0–100% scale, holdings counts log-scaled across the clean-universe 5th–95th percentile range. The shaded band spans the fund's broad class (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026.

Peer Group Rank

See All Peer Groups
Metric
KGIIX
Kopernik International Fund
Peer Group
327 funds
Peer Asset Class
1,365 funds
YTD Return
6.33%8.65%257.49%42
1Y Return
13.37%11.06%679.48%71
3Y Return (Ann.)
19.81%15.42%9214.23%87
5Y Return (Ann.)
9.25%7.12%856.38%83
Expense Ratiohigher = cheaper
1.03%0.94%380.80%27
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (945 share classes across 327 funds). One share class shown per fund — the exchange-listed class where the SEC series has one, else its longest-history class; percentile ranks and medians are computed against the same deduped set. Quartile chips fill the layer the fund's rank falls in (top layer = best quartile). Funds without a full return history rank only on the horizons they cover.

Similar Funds

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Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity74
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1KGGAX
Kopernik Global All-Cap Fund
Global ex-US SMID Value
Global ex-US SMID Value
74-----
2PMPIX
PRECIOUS METALS ULTRASECTOR PROFUND
Leveraged - Other
Leveraged - Other
32-----
3PEAFX
PIMCO RAE Emerging Markets Fund
Emerging SMID
Emerging SMID
11-----
4MOWIX
Moerus Worldwide Fund
Global ex-US SMID Value
Global ex-US SMID Value
10-----
5OBOR
KraneShares MSCI One Belt One Road Index ETF
Emerging Large Value
Emerging Large Value
10-----
6DISVX
DFA INTERNATIONAL SMALL CAP VALUE PORTFOLIO
Developed Ex-US SMID Value
Developed Ex-US SMID Value
10-----
7FTRI
First Trust Indxx Global Natural Resources Income ETF
Global ex-US Large Value
Global ex-US Large Value
8-----
8PZIEX
Pzena Emerging Markets Value Fund
Emerging Large Value
Emerging Large Value
6-----
9PZRAX
PIMCO RAE Global ex-US Fund
Developed Ex-US SMID Value
Developed Ex-US SMID Value
6-----
10BRW
Saba Capital Income & Opportunities Fund
Alts - Event-Driven & Arbitrage
Alts - Event-Driven & Arbitrage
6-----

The method columns are members-only — create a free account to see these figures.

ⓘ Methodology

Rows are the consensus top matches (a fund must place in at least two methods' top 250 to qualify, and matches missing more than one of this fund's own methods are not ranked — a row scored on fewer methods is a noisier estimate, not a better match). Click a method column to see that method's own top matches across the whole universe instead. Gray (N) beside each method's metric is that fund's rank in the whole universe on that method. Similarity is a percentile among match-grade fund pairs, 0–100 — 87 means the pair is closer than 87% of the strongest matches in the universe, averaged across the methods — so it compares across funds: index clones tie at the top with thousands of other clone pairs, so scores top out in the high 80s to 90s, while a one-of-a-kind fund's best match can score in the 30s. Rows are ordered by the Consensus Rank — the geometric mean of those universe ranks, shown in each cell's tooltip — and the score is held down the list to the level of the closest match above it, so equal scores mean equally close and the number reads as a floor. A dash means that method has no figure for the pair at all (one of them lacks the holdings or return history it needs). Hover a column header for each method's definition. The “Top…” strips above compare against every fund's own top match across the whole universe (they deliberately don't follow the Peer Universe selector); Top Similarity is simply the best match's score, with no reference band; the Holdings and Active Tilt strips carry no reference band because computing every fund's best book overlap would require a full holdings scan per fund — the dot stands alone on its natural 0–100% scale. One share class shown per fund, and a fund's own sister share classes are excluded from its Top-match strips. Holdings as of 7/31/2026. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Holdings Overlap = common-holdings weight (sum of the minimum weight across shared positions, long only). Active Tilt Overlap = the same statistic on active weights (holdings minus the fund's own default benchmark, floored at 0), which strips the benchmark ballast that dominates raw overlap. Factor Similarity = 100 − a signature-weighted RMS gap across the composite factor scores (0–100 ranks within the clean equity fund universe), each axis weighted by how far this fund sits from the universe median of 50. Return Correlation = correlation of market-hedged daily returns over the trailing two years (CAPM residuals), so only market-beta co-movement is removed; requires ~18 months of daily history (378 of the window's 504 trading days). Fama-French Similarity = 1/(1+d), where d is the Euclidean distance between factor betas (market, size, value, profitability, investment, momentum, intangible value) from up to three years of daily returns (min 378 daily observations and regression R² of at least 0.25); 1.00 = identical loadings.