Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
HDB HDFC Bank Limited | Financial Services | 50% |
BAJAJ-AUTO.NS Bajaj Auto Limited | Consumer Cyclical | 50% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in 0123, 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
As of Jun 9, 2026, the 0123 returned -17.49% Year-To-Date and 10.71% of annualized return in the last 10 years.
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.30% | 0.09% | 8.18% | 8.17% | 23.42% | 19.88% | 11.91% | 13.45% |
Portfolio 0123 | 0.00% | -5.92% | -17.49% | -14.30% | -16.48% | 10.19% | 5.89% | 10.71% |
| Portfolio components: | ||||||||
BAJAJ-AUTO.NS Bajaj Auto Limited | 0.00% | -4.12% | 4.53% | 8.51% | 10.68% | 26.26% | 16.77% | 13.66% |
HDB HDFC Bank Limited | -1.71% | -8.03% | -37.03% | -34.56% | -39.24% | -9.46% | -8.09% | 4.80% |
Monthly Returns
Based on dividend-adjusted daily data since Jul 6, 2007, 0123's average daily return is +0.08%, while the average monthly return is +1.79%. At this rate, an investment would double in approximately 3.3 years.
Historically, 60% of months were positive and 40% were negative. The best month was Sep 2010 with a return of +71.8%, while the worst month was Mar 2020 at -29.9%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 5 months.
On a daily basis, 0123 closed higher 52% of trading days. The best single day was Sep 8, 2010 with a return of +51.8%, while the worst single day was May 26, 2008 at -20.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -5.34% | 1.70% | -17.89% | 7.59% | -0.06% | -2.91% | -17.49% | ||||||
| 2025 | -2.88% | -5.10% | 5.00% | 6.26% | 4.78% | 1.21% | -2.99% | 0.06% | -2.05% | 4.27% | 1.54% | 0.78% | 10.66% |
| 2024 | -2.05% | 0.47% | 10.89% | 0.07% | 1.95% | 8.47% | -2.67% | 7.98% | 8.45% | -9.95% | -0.53% | -4.05% | 18.30% |
| 2023 | 2.70% | -2.46% | 2.74% | 9.68% | -2.27% | 7.31% | 1.44% | -7.33% | 2.20% | 0.32% | 10.53% | 11.75% | 40.92% |
| 2022 | 7.56% | -5.57% | 0.80% | -4.38% | 3.70% | -3.33% | 10.37% | 0.31% | -9.98% | 4.70% | 8.74% | -4.08% | 6.82% |
| 2021 | 8.12% | 1.27% | -2.28% | -2.99% | 10.38% | -4.00% | -3.66% | 5.07% | -3.02% | -2.87% | -10.84% | 0.22% | -6.30% |
Benchmark Metrics
0123 has an annualized alpha of 13.89%, beta of 0.75, and R2 of 0.25 versus S&P 500 Index. Calculated based on daily prices since July 06, 2007.
- This portfolio captured 129.74% of S&P 500 Index gains but only 90.80% of its losses - a favorable profile for investors.
- R2 of 0.25 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
- 13.89%
- Beta
- 0.75
- R²
- 0.25
- Upside Capture
- 129.74%
- Downside Capture
- 90.80%
Expense Ratio
0123 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.
Return for Risk
Risk / Return Rank
0123 ranks 1 for risk / return — in the bottom 1% of Portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for 0123 and compares them with S&P 500 Index.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.83 | 1.94 | -2.76 |
| Sortino ratioReturn per unit of downside risk | -1.16 | 2.63 | -3.78 |
| Omega ratioGain probability vs. loss probability | 0.88 | 1.35 | -0.48 |
| Calmar ratioReturn relative to maximum drawdown | -0.67 | 2.59 | -3.25 |
| Martin ratioReturn relative to average drawdown | -1.70 | 11.84 | -13.55 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
BAJAJ-AUTO.NS Bajaj Auto Limited | 56 | 0.46 | 0.84 | 1.10 | 0.67 | 1.85 |
HDB HDFC Bank Limited | 1 | -1.62 | -2.51 | 0.71 | -0.96 | -2.02 |
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Dividends
Dividend yield
0123 provided a 3.61% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 3.61% | 2.29% | 1.55% | 2.06% | 2.78% | 2.56% | 1.74% | 1.03% | 1.38% | 1.07% | 1.38% | 1.28% |
| Portfolio components: | ||||||||||||
BAJAJ-AUTO.NS Bajaj Auto Limited | 3.53% | 2.25% | 0.91% | 2.06% | 3.87% | 4.31% | 3.48% | 1.88% | 2.21% | 1.65% | 2.09% | 1.97% |
HDB HDFC Bank Limited | 3.69% | 2.32% | 2.19% | 2.06% | 1.70% | 0.81% | 0.00% | 0.17% | 0.55% | 0.49% | 0.66% | 0.58% |
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 0123. 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 0123 was 73.02%, occurring on Nov 20, 2008. Recovery took 217 trading sessions.
The current 0123 drawdown is 23.81%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
Financial crisis2007–2009 | -73.02%Nov 2008 | 11mo 20d | 10mo 6d | 1y 9moDec 2007 - Sep 2009 |
COVID crash2020 | -47.72%Mar 2020 | 3mo 11d | 7mo 25d | 11mo 6dDec 2019 - Nov 2020 |
2013 bear market2013 | -34.25%Aug 2013 | 7mo 27d | 8mo 27d | 1y 4moJan 2013 - May 2014 |
Bear market2022 | -28.94%Mar 2022 | 1y 26d | 1y 4mo | 2y 5moFeb 2021 - Jul 2023 |
2026 bear market2026 | -28.59%Mar 2026 | 1y 6mo | — | 1y 8moSep 2024 - now |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
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Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 2 assets, with an effective number of assets of 2.00, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | 10Y | All Time | |
|---|---|---|---|---|---|
Diversification Ratio | 1.25 | 1.27 | 1.27 | 1.23 | 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.
0123 correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.24 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.25 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.35 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.32 |
Correlation (All Time) Calculated using the full available price history since Jul 6, 2007 | 0.43 |
Benchmark Correlations
Correlation vs. S&P 500 Index. HDB has the highest benchmark correlation at 0.52, while BAJAJ-AUTO.NS has the lowest at 0.14.
Portfolio Correlations
Correlation vs. 0123. HDB has the highest portfolio correlation at 0.79, while BAJAJ-AUTO.NS has the lowest at 0.75.
Asset Correlations Table
Find what 0123 is missing
See which holdings overlap, where 0123 is concentrated, and which low-correlation assets could fill the gaps.
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