Author(s)

Jiayue Xin ¹

Affiliation(s)

¹ School of Statistics, Capital University of Economics and Business, Beijing, 100026, China

Corresponding Author

Jiayue Xin

ABSTRACT

As a precious gemstone, ruby's price fluctuations have an important impact on the jewelry market. However, accurate analysis of ruby price trends and their impact on the future of the jewelry market has been difficult. This article aims to reveal the impact mechanism of ruby price changes on the future trend of the jewelry market through dynamic analysis based on a genetic algorithm model. To achieve this goal, we collected relevant data including supply and demand data, market stability indicators, changes in consumer demand and external factors, and applied genetic algorithm models for analysis. Through the analysis of data and the operation of the model, this article has obtained the trend prediction of ruby prices and the impact of price changes on the jewelry market. The contribution of this study is to provide a dynamic analysis method based on a genetic algorithm model, which can more accurately predict the trend of ruby prices, and provide an in-depth analysis of the factors affecting the price changes on the jewelry market. These research results provide important references for practitioners in the jewelry industry, allowing them to better understand market dynamics and make appropriate decisions. At the same time, this study also provides reference and inspiration for future research on dynamic analysis of trends in the jewelry market.

KEYWORDS

Genetic Algorithm Model, Ruby Price Changes, Jewelry Market, Dynamic Analysis

CITE THIS PAPER

Jiayue Xin, Dynamic Analysis of Ruby Price Changes on Future Trends in the Jewelry Market Based on Genetic Algorithm Model. Financial Engineering and Risk Management (2023) Vol. 6: 62-69. DOI: http://dx.doi.org/10.23977/ferm.2023.060909.

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