CRISIS RESISTANT ALGORITHMIC STRATEGY OF SBI
Kazakhstan investors have already experienced several global financial recessions. In addition to high returns, the possibility of risk management has become an important criterion.
SBI algorithms are intensively stress-tested by running them through historical crises (in-sample tests). We also perform out-of-sample tests on real SBI accounts.
Sigmalion strategy allows risk budgeting which enables to customize the algorithm to the individual target risk of each investor.
PRESET PARAMETERS
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INDICATIVE FIGURES
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Product configuration
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Target risk
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Max. leverage
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Return*
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Medium leverage**
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Max. drawdown**
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Quasi deposit |
3%
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0,6 | 3-5% | 0,37 | -3,1% |
4%
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0,8 | 4-6% | 0,49 | -3,9% | |
Ultra safe |
5%
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1,0 | 5-8% | 0,61 | -4,9% |
Safe |
6%
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1,2 | 6-9% | 0,74 | -5,9% |
Moderate |
8%
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1,6 | 8-12% | 0,98 | -7,9% |
Aggressive |
10%
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1,8 | 10-15% | 1,18 | -9,1% |
Ultra aggressive |
12%
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2,3 | 12-18% | 1,44 | -11,1% |
*Before fee (AuM and Perf.), in percent per annum, subject to long-term investment horizon (3 years or longer).
**Based on back-tests for 01.2005 - 01.2019.
On November 15, 2017, SBI launched testing of Sigmalion algorithmic strategy on its own investment portfolio.
In addition to high return, the algorithm also demonstrated the ability to go through recessions with minimum losses and the possibility of a quick recovery.
Sigmalion is not an experimental technology, but a capital growth tool tested on our own assets.
SPY is the largest global fund that tracks the S&P500 index
VBINX is the fund investing 60% in stocks and
40% in bonds of the largest US companies
SBI – a portfolio trading by using the self-developed algorithm.
PROPER PORTFOLIO OF SBI has a moderate risk - 8%
Sharpe Ratio - 1,45 (overall risk-return ratio)
Maximum Drawdown - 5,95% (maximum observed drawdown of funds in the currency of investment from a peak)