Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis

Wang, Qunwei; Liu, Mengmeng; Xiao, Ling; Dai, Xingyu; Li, Matthew C.; Wu, Fei

doi:10.1016/j.irfa.2022.102025

Cited by 6 publications

(1 citation statement)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So it is necessary to research to provide recommendations for product placement in a layout that suits consumers' wishes, grouping products based on consumer buying patterns, and reducing search time. The methodology used in this research is the Market Basket Analysis (MBA) method (Wang et al, 2022;Leote et al, 2020;Valle et al, 2019;Tatiana & Mikhail, 2018;Saunders et al, 2019;Valle et al, 2018). This method with data mining techniques is very able to provide recommendations in terms of "product positioning" to be able to arrange product placement according to customer shopping habits (Griva et al, 2018;Li et al, 2022;Morgan et al, 2022;and Li et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Data Mining at Supermarket X in Surabaya Using Market Basket Analysis to Determine Consumer Buying Patterns

2022

Nusantara Science and Technology Proceedings

View full text Add to dashboard Cite

The most common lifestyle change during the Covid-19 pandemic is an increase in people's purchasing power. The strategy that sellers need to pay attention to is product placement. Product placement in stores on a small or large scale is one of the strategies that can affect consumer purchasing decisions. One supermarket in Surabaya experienced an increase in transactions during the pandemic, but there are some products whose sales are not as high as other products due to product placement that is not by the type or function so that when customers want to buy products they have to look for them first, this is not uncommon. customers do not shop or buy products which result in lower transactions and lower supermarket profits. So this research was conducted to provide recommendations for product placement in a layout that suits consumers' wishes, grouping products based on consumer buying habits, and reduce search time. This research was conducted using the Market Basket Analysis (MBA) method. From the results, there are 19 rules which indicate that some products will be purchased if placed close to other products with a 100% confidence level.

show abstract