  We analyze the influence and interactions of 60 largest world banks for 195
world countries using the reduced Google matrix algorithm for the English
Wikipedia network with 5 416 537 articles. While the top asset rank positions
are taken by the banks of China, with China Industrial and Commercial Bank of
China at the first place, we show that the network influence is dominated by
USA banks with Goldman Sachs being the central bank. We determine the network
structure of interactions of banks and countries and PageRank sensitivity of
countries to selected banks. We also present GPU oriented code which
significantly accelerates the numerical computations of reduced Google matrix.
