In the financial markets, accurate stock price forecasting is essential, especially for well-known companies like Mercedes-Benz. The effectiveness of three models in forecasting Mercedes-Benz stock prices is compared in this study: Random Forest (RF), Long Short-Term Memory (LSTM), and Autoregressive Integral Sliding Average (ARIMA). The analysis uses historical stock data from 2000 to 2023, applying feature engineering techniques such as simple moving averages to enhance model accuracy. Long-term dependencies are modeled using RF, complicated non-linear interactions are identified using ARIMA, and linear trends are found using LSTM. Mean Square Error (MSE) and Root Mean Square Error (RMSE) are used to evaluate the models. Results reveal that the RF model outperforms the others in short-term price forecasting, while the LSTM model excels in predicting long-term trends. The ARIMA model, though simple, struggles with volatility in turbulent market conditions. These results highlight the potential of cutting-edge machine learning models in financial forecasting and improve decision-making processes, providing insightful information for investors and financial experts.

The art market is both unique and subjective. Particularly in art auctions, transaction prices not only reflect the value of the artwork but are also influenced by the psychological factors of the bidders. This paper systematically examines how the anchoring effect and endowment effect, as described in behavioral economics, contribute to high transaction prices in art auctions. The research focuses on traditional Chinese paintings, Impressionist works, and contemporary art, with data sourced from major art trading platforms such as Artron.net, Christie’s, and Sotheby’s. The results indicate that the anchoring effect significantly influences bidders’ offers through prior auction prices or pre-sale estimates, with this effect being more pronounced when the time between auctions is short. The endowment effect reveals that bidders assign greater psychological value to their preferred artworks, making them willing to pay higher prices. Overall, these behavioral biases notably impact the market pricing of artworks, driving auction prices higher. This study integrates behavioral economics, art management, and statistical analysis to offer practical recommendations for auction houses to optimize bidding strategies, for buyers and sellers to make informed decisions, and for market regulators to develop effective policies.

As a matter of fact, with the continuous development of blockchain technology, its potential in various applications is gradually emerging especially in recent years. With this in mind, this article explores the practical experience of applying blockchain technology in e-commerce shopping platforms, especially the challenges and solutions encountered in product management, purchase process, and logistics status tracking. Through the analysis of these experiences, this research summarizes the key points that should be paid attention to in the process of designing and implementing blockchain e-commerce platforms. At the same time, this study puts forward relevant suggestions to provide references for the development of similar projects according to the analysis. These results delve into the application of blockchain technology in e-commerce platforms, focusing on challenges as well as solutions in product management, purchasing, and logistics tracking. Overall, it highlights essential considerations for designing blockchain-based e-commerce systems and offers recommendations for future projects.

Fenty Beauty has emerged as a trailblazer in the competitive cosmetics industry through its innovative and inclusive digital marketing strategies, which have significantly enhanced consumer engagement and loyalty. This study investigates the effectiveness of Fenty Beauty’s digital marketing approach by examining its strategic use of social media platforms, influencer collaborations, and data-driven marketing techniques to reach a diverse global audience. Through these channels, Fenty Beauty has effectively engaged with consumers by leveraging social media to foster interaction, transparency, and authenticity in its brand communication. Furthermore, partnerships with key influencers and beauty experts have helped the brand extend its reach and solidify its position as a leader in inclusive beauty. By analyzing Fenty Beauty’s data-driven marketing strategies, this study highlights how the brand utilizes consumer insights to tailor personalized marketing campaigns that resonate with diverse demographic groups. Findings suggest that Fenty’s approach to digital marketing not only builds strong, inclusive communities but also reinforces its unique brand identity, providing a competitive edge in a crowded market. This study offers insights into how Fenty Beauty’s digital strategies have transformed consumer behavior, establishing the brand as a model for innovation and inclusivity within the beauty industry.

There exists a strong correlation between fluctuations in stock prices and the financial and economic circumstances of a nation. Being a fundamental component of stock market analysis, the stock index serves a crucial function in defining the general direction of the stock market, offering a benchmark for market risk, and fostering market confidence. In the post-pandemic era, with the recovery of the stock market and the national economy, whether the connection between macroeconomic indicators and the stock market has changed or not has become an important research topic. The study gathered monthly data from 18 countries characterised by varying degrees of development, geographical location, and cultural heritage throughout the period following the epidemic (January 2023 to June 2024)This study explores the relationship between typical macroeconomic indicators and stock market indexes worldwide. Using the concepts of addition and weighting, this study sorts the degree of closeness between these indicators and the stock index, which enables future researchers to effectively choose suitable macroeconomic indicators by consulting this paper while analysing the stock market. The rank of closeness degree is based on the unemployment rate, exchange rate, inflation rate, and interest rate. Finally, VIF and significance before and after dimensionality reduction were compared to prove the effectiveness of ranking.

In the context of the digital age, the digital economy is becoming a new driving force for global economic development. In China, in particular, it has had a significant impact on informal employment, especially platform economy workers. This study explores how the digital economy reshapes informal employment patterns and positively contributes to the urban labor market through a literature review and empirical analysis. The findings reveal that the digital economy not only creates new job opportunities and increases labor market flexibility but also fosters innovation and entrepreneurial activities. The paper further analyzes the "Digital Economy+" model, which integrates the digital and platform economies, demonstrating how this model provides diverse employment opportunities and enhances economic participation for urban informal workers. Additionally, the paper proposes strategies to help informal workers leverage digital technology to improve job quality and stability. The results aim to provide policymakers, educators, and informal workers with strategies and insights to navigate the digital economy era, while also acknowledging research limitations, such as the digital divide between urban and rural areas and the adaptability challenges faced by low-education groups. This study offers valuable perspectives for understanding the phenomenon of informal employment in the digital economy.

In behavioral economics, overconfidence is a well-researched cognitive bias that has a big impact on how people and organizations make decisions. This essay explores the benefits and drawbacks of overconfidence while emphasizing its double influence on economic behavior. Positively, excessive confidence can encourage risk-taking, entrepreneurship, and daring behavior in people, all of which can promote innovation and economic expansion. It can also boost self-confidence, which in turn can boost motivation, perseverance, and general performance. On the other hand, overconfidence can have serious negative effects, including bad decision-making, underestimating risks, financial errors, and excessive market volatility. It frequently leads to people undervaluing competition, ignoring possible hazards, and ignoring pertinent information, all of which can lead to serious financial and personal losses. The study emphasizes the significance of comprehending the complex consequences of overconfidence in behavioral economics and the requirement for methods to minimize its negative effects while maximizing its positive ones.

The pharmaceutical industry plays a critical role in the national economy, and the valuation of pharmaceutical companies is also a key concern for investors. There are many kinds of method to evaluate the company. We can use the Discounted Cash Flow (DCF) model and relative valuation methods, such as the Price-to-Earnings (P/E) ratio and Price-to-Book (P/B) ratio. The DCF model is a common model for company valuation. Therefore, in this paper, we evaluate the financial data of Jiangsu Hengrui Pharmaceuticals Co., Ltd from 2019 to 2023 by using the DCF model. We also show how to calculate the weighted average cost of capital (WACC) using the financial data and compare the actual intrinsic value with the result evaluated from the DCF model.

This study explores the behavioral changes of elderly users (aged 60-65) when engaging with social media, using the Technology Acceptance Model (TAM) as the analytical framework. With global aging trends accelerating, understanding how older adults adapt to new technologies is increasingly critical. While most existing research focuses on younger populations, this study aims to address the gap in literature by examining the perceptions and usage patterns of elderly social media users. TAM’s key constructs—Perceived Usefulness (PU) and Perceived Ease of Use (PEOU)—are applied to understand how social media influences elderly users' social interactions, media consumption, and health-related behaviors. The findings reveal that social media enhances older adults’ sense of connection with family and friends, reduces loneliness, and increases social participation, all of which contribute to higher PU and PEOU. Moreover, the study highlights the digital divide, noting the challenges of technophobia, lower digital literacy, and susceptibility to misinformation among elderly users. Comparative analysis with younger users underscores generational differences in technology adaptability, content preferences, and security awareness. The study concludes with recommendations for enhancing the user experience of elderly social media users by addressing their unique needs and fostering inclusivity in digital platforms.

The development of the digital economy has prompted the global luxury goods industry to show different development trends. The strategy of using traditional media for brand marketing can no longer meet the changes in consumer demand or cope with fierce market competition. On the contrary, the vivid and interactive information dissemination provided by social media has made it the core way of brand marketing. Therefore, this paper takes luxury brands as cases to explore the marketing strategies of enterprises on social media platforms, and then determine the communication effect on brand image. The social media marketing theory and marketing mix model will be used to analyze this research topic. This study applies relevant literature and marketing cases of luxury brands in the Chinese market to evaluate the impact of social media on brand operations. The results show that luxury brands are actively using social media to pursue innovative marketing strategies in the digital field and using digital traffic attraction to penetrate a wider consumer base. Especially in terms of online dissemination and offline communication, this provides a strong media competition channel for the marketing development of luxury brands.