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Mohnish Pabrai Portfolio
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


HCC 39.50%RIG 27.80%AMR 27.00%VAL 5.70%EquityEquity

S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Mohnish Pabrai Portfolio, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.


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Returns By Period


Position1D1M6MYTD1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.38%0.24%9.32%10.62%21.28%18.90%11.84%13.36%
Portfolio
Mohnish Pabrai Portfolio
-1.65%-14.84%-11.92%1.38%68.24%10.00%36.80%
AMR
Alpha Metallurgical Resources, Inc.
-0.89%-19.82%-38.88%-23.67%31.99%-0.25%46.12%
HCC
Warrior Met Coal, Inc.
-1.78%-14.64%-19.67%-7.00%62.98%30.12%39.56%
RIG
Transocean Ltd.
-2.07%-10.81%18.72%25.91%96.97%-12.68%8.24%-8.14%
VAL
Valaris Limited
-1.97%-11.23%40.68%52.66%64.89%3.86%23.30%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since May 3, 2021, Mohnish Pabrai Portfolio's average daily return is +0.18%, while the average monthly return is +3.70%. At this rate, an investment would double in approximately 1.6 years.

Historically, 65% of months were positive and 35% were negative. The best month was Oct 2022 with a return of +34.1%, while the worst month was Dec 2024 at -18.6%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 3 months.

On a daily basis, Mohnish Pabrai Portfolio closed higher 53% of trading days. The best single day was Feb 1, 2022 with a return of +11.3%, while the worst single day was Mar 14, 2022 at -12.2%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20268.35%5.10%9.79%-2.78%0.42%-17.24%0.35%1.38%
2025-1.55%-18.62%0.26%-10.93%0.05%2.18%10.48%15.87%5.26%11.41%8.46%7.92%28.54%
20242.42%-9.10%7.34%-0.97%4.48%-10.20%8.02%-15.79%-1.74%-3.59%9.00%-18.64%-29.04%
202320.02%3.26%-6.19%-6.38%-5.19%20.38%15.47%-2.26%18.34%-11.94%12.91%9.96%81.38%
20226.43%24.51%27.82%-3.22%4.84%-16.38%4.76%7.88%-17.26%34.13%4.82%-2.15%84.86%
202128.81%13.01%0.24%21.48%13.57%5.82%-15.84%15.26%106.66%

Benchmark Metrics

Mohnish Pabrai Portfolio has an annualized alpha of 40.33%, beta of 0.93, and R2 of 0.12 versus S&P 500 Index. Calculated based on daily prices since May 03, 2021.

  • This portfolio captured 197.47% of S&P 500 Index gains but only 73.69% of its losses - a favorable profile for investors.
  • R2 of 0.12 means this portfolio moves largely independently of S&P 500 Index - capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.

Alpha
40.33%
Beta
0.93
0.12
Upside Capture
197.47%
Downside Capture
73.69%

Expense Ratio

Mohnish Pabrai Portfolio has an expense ratio of 0.00%, meaning no management fees are charged. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


The portfolio doesn't include any funds that charge management fees.

Return for Risk

Risk / Return Rank

Mohnish Pabrai Portfolio ranks 38 for risk / return — below 38% of Portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.


Mohnish Pabrai Portfolio Risk / Return Rank: 3838
Overall Rank
Mohnish Pabrai Portfolio Sharpe Ratio Rank: 3636
Sharpe Ratio Rank
Mohnish Pabrai Portfolio Sortino Ratio Rank: 4040
Sortino Ratio Rank
Mohnish Pabrai Portfolio Omega Ratio Rank: 2929
Omega Ratio Rank
Mohnish Pabrai Portfolio Calmar Ratio Rank: 4848
Calmar Ratio Rank
Mohnish Pabrai Portfolio Martin Ratio Rank: 3535
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics

The table below presents risk-adjusted performance metrics for Mohnish Pabrai Portfolio and compares them with S&P 500 Index.

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.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

1.61

1.70

-0.09

Sortino ratioReturn per unit of downside risk

2.31

2.34

-0.03

Omega ratioGain probability vs. loss probability

1.27

1.31

-0.04

Calmar ratioReturn relative to maximum drawdown

2.57

2.35

+0.22

Martin ratioReturn relative to average drawdown

7.96

10.19

-2.23


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

PositionRisk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
AMR
Alpha Metallurgical Resources, Inc.
63
0.551.211.130.781.72
HCC
Warrior Met Coal, Inc.
79
1.152.001.242.155.29
RIG
Transocean Ltd.
86
1.812.341.302.738.46
VAL
Valaris Limited
79
1.092.021.251.815.28

Sharpe Ratio

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk. Learn how to interpret the Sharpe ratio.

The current Mohnish Pabrai Portfolio Sharpe ratio is 1.61 as of Jul 16, 2026 (the value is recalculated daily), calculated over the past 12 months.

Compared to the broad market, where average Sharpe ratios range from 1.39 to 2.17, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of Mohnish Pabrai Portfolio compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


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Dividends

Dividend yield

Mohnish Pabrai Portfolio provided a 0.15% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.15%0.14%0.60%0.91%2.90%0.31%0.37%8.63%11.03%17.84%0.00%2.36%
AMR
Alpha Metallurgical Resources, Inc.
0.00%0.00%0.00%0.57%4.23%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
HCC
Warrior Met Coal, Inc.
0.39%0.36%1.51%1.90%4.45%0.78%0.94%21.85%27.91%45.17%0.00%0.00%
RIG
Transocean Ltd.
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%8.48%
VAL
Valaris Limited
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the Mohnish Pabrai Portfolio. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the Mohnish Pabrai Portfolio was 56.91%, occurring on Apr 4, 2025. Recovery took 212 trading sessions.

The current Mohnish Pabrai Portfolio drawdown is 24.25%.


Drawdown

Fall

Recovery

Underwater

Related event

-56.91%Apr 2025
1y 2mo10mo 11d
2y 18dJan 2024 - Feb 2026
2025 selloff2025
-37.11%Sep 2022
3mo 17d3mo 22d
7mo 9dJun 2022 - Jan 2023
Bear market2022
-26.73%Jul 2026
1mo 4d
1mo 13dJun 2026 - now
-25.01%Dec 2021
1mo 13d1mo 11d
2mo 24dOct 2021 - Jan 2022
-23.68%May 2023
2mo 26d1mo 24d
4mo 20dMar 2023 - Jul 2023

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Diversification

AI Analysis


The gist

The portfolio is a concentrated bet on two cyclical trades, one in offshore drilling and one in coal, with a small second-order sleeve in another driller. The diversification is real but modest; the math says this is mostly one macro story wearing four tickers.

The numbers

  • The diversification ratio is 1.26-1.32, around the 49th-53rd percentile on the platform, which is fine, but only in the sense that it is not trying to be clever about hiding its common factor.
  • The effective asset count is 3.23 of 4, so the weights are not mechanically overstuffed in one name; the issue is correlation, not raw position count.
  • Pairwise correlations average 0.49, with tight links inside the two clusters: HCC (Basic Materials) / AMR (Basic Materials) at 0.73 and RIG (Energy) / VAL (Energy) at 0.76.

The good

  • The portfolio does have two distinct clusters, so there is some separation between coal and offshore drilling rather than a single undifferentiated energy bet.
  • Position weights are spread enough that no single name entirely dominates the outcome, which helps keep one idiosyncratic blowup from defining the whole thing.

The bad

  • The portfolio’s largest positions sit in sectors that often respond to the same broad inputs: commodity pricing, capital discipline, and recession-sensitive demand.
  • Position-to-portfolio correlations are high — 0.85 for HCC and 0.83 for AMR — so each of the coal names is mostly the portfolio, just with different tickers.

The ugly

  • If energy and bulk-materials sell off together because industrial activity softens, the cluster structure stops being comforting and starts being arithmetic.
  • In that sort of tape, the RIG-VAL pair and the HCC-AMR pair can both move the same way, which leaves the portfolio with fewer independent sources of risk than the ticker count suggests.

Next steps

  • Portfolios with this correlation profile are usually complemented by exposures whose earnings drivers sit outside the commodity and capital-cycle complex.
  • The 1Y DR being only slightly above the long-run figures suggests the cross-asset benefit has not materially improved recently.
  • The clustering data fits a portfolio expressing two related cyclical views more cleanly than a broad diversification agenda.
AI-generated analysis. Not investment advice. Verify key facts independently.
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Diversification Metrics


Number of Effective Assets

The portfolio contains 4 assets, with an effective number of assets of 3.23, reflecting the diversification based on asset allocation. Your capital is well-distributed across most of your holdings, with only mild concentration in a few names. True diversification also depends on the correlations between assets — check the diversification ratio below.


Diversification Ratio
1Y
3Y
5Y
All Time
Diversification Ratio

1.32

1.29

1.26

1.26

The portfolio has a diversification ratio of 1.26, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

Mohnish Pabrai Portfolio correlation to the S&P 500 Index

Mohnish Pabrai Portfolio has a 0.20 correlation to S&P 500 Index over the trailing 12 months. This section compares each holding's correlation to the benchmark and to the portfolio.

Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.20

Correlation (3Y)
Calculated over the trailing 3-year period

0.26

Correlation (5Y)
Calculated over the trailing 5-year period

0.30

Correlation (All Time)
Calculated using the full available price history since May 3, 2021

0.30


Benchmark Correlations

Correlation vs. S&P 500 Index. RIG has the highest benchmark correlation at 0.30, while HCC has the lowest at 0.23.

HCC
0.23
AMR
0.23
VAL
0.30
RIG
0.30

Portfolio Correlations

Correlation vs. Mohnish Pabrai Portfolio. HCC has the highest portfolio correlation at 0.85, while VAL has the lowest at 0.62.

VAL
0.62
RIG
0.70
AMR
0.83
HCC
0.85

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

VALRIGAMRHCC
VAL1.000.760.360.35
RIG0.761.000.360.37
AMR0.360.361.000.73
HCC0.350.370.731.00
The correlation results are calculated based on daily price changes starting from May 3, 2021
Diversification Analysis

Find what Mohnish Pabrai Portfolio is missing

See which holdings overlap, where Mohnish Pabrai Portfolio is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification