Abstract: The graph permanent is a fundamental combinatorial property that serves to quantify various structural attributes of a graph. Defined as a summation of the products of all possible permutations of the elements in a square matrix, the graph permanent is computed from the adjacency matrix of a network. Our research work explores the novel application of graph permanents in financial analysis. Our approach introduces a new dimension in financial network analysis, offering promising implications for investors, creditors, debtors and policymakers aiming to strengthen financial market stability. Using historical trading data from the Dhaka Stock Exchange (2005–2017), our experiments demonstrate how graph permanents can enrich financial analysis and facilitate more effective optimization of stock networks. Additionally, our experiments using financial statements of companies such as PepsiCo, P&G, and Nestle further underscore the potential of graph permanents in financial analysis.

 

Presenter: Sujoy Das (Std No. 0422054002)

Venue: Graduate Seminar Room