A study of the dynamic portfolio adjustment model based on the Markov decision process
oraz
27 lut 2025
O artykule
Data publikacji: 27 lut 2025
Otrzymano: 20 wrz 2024
Przyjęty: 21 sty 2025
DOI: https://doi.org/10.2478/amns-2025-0117
Słowa kluczowe
© 2025 Jiazhuo Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Experimental results of Markov-based investment strategies-experimental group 1
Name of Indicator | Result |
---|---|
Annualized Return | 41.03% |
Cumulative Return | 120.34% |
Annualized Volatility | 24.73% |
Sharpe Ratio | 1.52 |
Karma Ratio | 2.19 |
Maximum Retracement | -18.70% |
Sortino Ratio | 2.53 |
Estimates of market parameters
P | Q | μ1w | μ2w | σ1w | σ2w | |
---|---|---|---|---|---|---|
Estimated value | 0.98 | 0.98 | 1.11 | 0.07 | 3.51 | 6.80 |
Standard deviation | 0.06 | 0.17 | 0.31 | 0.66 | 0.02 | 0.07 |
Indicator names and significance of indicators
Name of Indicator | Indicator Meaning |
---|---|
Annualized Return | Portfolio direct return per year |
Cumulative Return | Portfolio return at the end of the trading phase |
Annualized Volatility | A measure of the uncertainty of the rate of return |
Sharpe Ratio | A classic indicator of the combination of return and risk |
Karma Ratio | Describes the relationship between return and maximum retracement |
Maximum Retracement | Describes the portfolio's largest post-drop scenario |
Sortino Ratio | Describes whether downside risk can lead to higher excess returns |
Experimental results of Markov-based investment strategies - Experimental Group 2
Name of Indicator | Result |
---|---|
Annualized Return | 46.81% |
Cumulative Return | 93.62% |
Annualized Volatility | 21.76% |
Sharpe Ratio | 2.20 |
Karma Ratio | 3.27 |
Maximum Retracement | -18.00% |
Sortino Ratio | 3.35 |