Comparing minimum spanning trees of the Italian stock market using returns and volumes

摘要: Abstract We have built the network of top 100 Italian quoted companies in decade 2001–2011 using four different methods, comparing resulting minimum spanning trees for methods and industry sectors. Our starting method is based on Person’s correlation log-returns used by several other authors last decade. The second one symbolized log-returns, third traded money fourth uses a combination with money. show that some sectors correspond to network’s clusters while others are scattered, particular trading apparel analyze graph’s measures showing introduction volumes induces larger distances more homogeneous without big clusters.