パレトアルファカット技術を用いた金価格予測の多目的最適化
1Assistant Professor, Sreenivasa Institute of Technology and Management Studies, India.
MethodsX
|August 21, 2025
まとめ
この研究は,多目的の最適化フレームワークとパレトアルファカット技術を使用して,金価格の予測を強化します. 自動回帰分散ラグ (ARDL) モデルは,金融意思決定の卓越した正確性と安定性を示しました.
科学分野:
- 定量金融
- 経済学
- 運用研究
背景:
- 投資,採掘,財務計画には 黄金の価格の正確な予測が不可欠です
- 既存の予測モデルは,複数のパフォーマンスメトリックのバランスをとる上で困難に直面しています.
- マクロ経済要因は金価格の動向に大きな影響を与えます.
研究 の 目的:
- 金価格予測モデルを評価するための新しい多目的最適化フレームワークを導入する.
- 正確さ,波動性,フィット性のトレードオフを管理することによってモデル選択を強化します.
- パレート・アルファ・カット技術を用いたパレート最適予測モデルを特定する.
主な方法:
- 自動回帰分散ラグ (ARDL),ストキャスティック,自動回帰統合移動平均 (ARIMA) モデルを使用した.
- マルチクリテリアの意思決定のための 曖昧な論理と組み合わせた パレート最適性の原則を適用する.
- RMSE,揮発性,R二乗に基づく最適なモデルをフィルターして選択するために,パレートアルファカット技術を使用しました.
主要な成果:
- 自動回帰分散ラグ (ARDL) モデルは一貫して優れた精度とモデルフィットを示しました.
- ストカスティックモデルでは 黄金の価格を予測する際には 安定性が高いことが示されました
- パレト・アルファカット・フレームワークは,正確性と安定性のバランスをとるモデルを効果的に特定しました.
結論:
- 提案された枠組みは,優れた金の価格予測モデルを選択するための堅固な方法を提供します.
- 投資や商品のリスクを管理する金融関係者に実用的な洞察を与えます.
- このアプローチは,複数の目標の下でのモデルパフォーマンスの予測の理解を深めます.
さらに関連する動画
07:35Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
7.6K
10:36Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
Published on: November 3, 2023
1.7K
関連する概念動画
01:09Decision Making: P-value Method
5.7K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.7K
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
100
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
100
01:19Testing a Claim about Standard Deviation
2.5K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.5K
01:14Decision Making: Traditional Method
4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
01:21Friedman Two-way Analysis of Variance by Ranks
296
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
296
01:24One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
710
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
710