Essays about: "consumer prediction"

Showing result 16 - 20 of 44 essays containing the words consumer prediction.

  1. 16. How does social media marketing affect mobile game companies’ brand equity in China?

    University essay from Jönköping University/Internationella Handelshögskolan

    Author : Lingyu Ye; Mingze Gao; [2020]
    Keywords : Social media marketing; Brand equity; Mobile gaming; Chinese consumer market;

    Abstract : Background: The widespread use of social media has offered brands a great opportunity to engage with their customers and promote sales. In China’s mobile gaming market, the huge user base of social media marketing provides companies with an excellent opportunity to develop their brand image and cultivate further awareness. READ MORE

  3. 17. Could confidence predict households’ debt growth?

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik och samhälle

    Author : Alexander Hübbert; Linda Lindström; [2019]
    Keywords : Consumer Confidence Index; Gross Domestic Product; Unemployment; Repo rate; Households’ debt growth; Konsumentförtroendeindex; Bruttonationalprodukt; Arbetslöshet; reporäntan; hushållens skuldtillväxt;

    Abstract : This thesis analyses if households’ confidence could be a significant variable to predicthouseholds’ debt growth in Sweden. Households’ debts have an important role in thefinancial system where the vulnerability of households’ debts has increased over time. READ MORE

  4. 18. How can artificial intelligence-based sorting solutions support the realisation of circular economy and closed loop recycling of scrap tyres : A case study at Ragn-Sells

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Sara Kilander; [2019]
    Keywords : ;

    Abstract : Tyre rubber is a lightweight, elastic, shock- and noise absorbing, UV resistant, insulating material with high tensile strength that perform well in a broad range of temperatures. These are all valuable qualities that point to the benefit of recycling and reusing the material in high quality products and applications for as long as possible. READ MORE

  5. 19. High-risk Consumer Credit Scoring using Machine Learning Classification

    University essay from Lunds universitet/Matematisk statistik

    Author : Max Mjörnell; Ludvig Levay; [2019]
    Keywords : Machine learning; Scorecard modelling; Logistic regression; Support Vector Machine; Decision Tree; Random Forest; k-Nearest Neighbors; Artificial Neural Network; Voting ensemble; SHAP; LIME; Average Precision score; Feature engineering; Mathematics and Statistics;

    Abstract : The use of statistical models in credit rating and application scorecard modelling is a thoroughly explored field within the financial sector and a central component in a credit institution’s underlying business model. The aim of this report was to apply and compare six different machine learning models in predicting credit defaults for high-risk consumer credits, using a data set provided by a Swedish consumer credit institute. READ MORE

  6. 20. Risk-Managed Momentum Strategy Using Support Vector Machines

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Patrick Schneeberger; [2018]
    Keywords : Financial Market; Investment Decisions; Momentum Strategy; Support Vector Machines;

    Abstract : Investment decisions are difficult to make, given the uncertainty about the future. For the purpose of reducing that uncertainty, I investigate, for one, how the consumer price index and the return on the 3-month US Treasury bill can be used by support vector machines to make monthly directional trend predictions of a value-weighted portfolio of stocks traded at AMEX, NYSE and NASDAQ. READ MORE