波罗的海干燥指数预测使用金融市场数据:机器学习方法和SHAP解释
Hyeon-Seok Kim1, Do-Hyeon Kim2, Sun-Yong Choi2
1Department of Industrial Engineering, Hanyang University, Seoul, Republic of Korea.
PloS one
|July 21, 2025
概括
本研究使用金融数据和机器学习预测波罗的海干燥指数 (BDI). 标普500指数,铁矿石,煤炭和美元指数显著影响BDI预测,有助于航运业的稳定.
科学领域:
- 经济学 经济学 经济学
- 金融市场 金融市场
- 海上物流的海上物流
背景情况:
- 波罗的海干燥指数 (BDI) 是全球航运货运价格和包机活动的关键指标.
- 准确的BDI预测对海事和金融部门的利益相关者至关重要.
- 以前的研究往往忽视了特定区域金融指标对BDI的影响.
研究的目的:
- 为了更准确地预测波罗的海干燥指数 (BDI).
- 识别和分析包括区域在内的各种金融指标对BDI变动的影响.
- 为了更深入地了解BDI波动背后的经济驱动因素.
主要方法:
- 使用先进的机器学习算法:极端随机树,分类提升 (CatBoost) 和随机森林.
- 整合了包括商品,货币,股票市场和波动指数在内的综合数据集.
- 采用沙普利增量解释 (SHAP) 框架进行特征重要性分析.
主要成果:
- 标普500指数被确定为BDI最重要的预测指标.
- 商品指数 (铁矿石,煤炭) 和美元指数也表现出重大影响.
- 该研究成功地整合了来自美国,欧盟和香港的区域金融指标.
结论:
- 美国经济,反映在标普500指数和美元指数中,在BDI趋势中起着关键作用.
- 通过SHAP分析增强的机器学习模型提供了卓越的BDI预测能力.
- 这项研究为改善全球航运业的决策和稳定提供了可操作的见解.
相关概念视频
01:29Econometric Views (EViews)
254
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
254
01:03Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
01:18Microsoft Excel: Regression Analysis
934
Regression analysis in Microsoft Excel is a powerful statistical method for examining the relationship between a dependent variable and one or more independent variables. It's used extensively in fields such as economics, biology, and business to predict outcomes, understand relationships, and make data-driven decisions. The most common type is linear regression, which attempts to fit a straight line through the data points to model the relationship between variables.
To perform regression...
To perform regression...
934
01:20Actuarial Approach
137
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
137