Research Article

Interest Rate Swap Market Complexity and Its Risk Management Implications

Table 6

Regression of unweighted network properties on the complexity measures.

Num. of entitiesNum. of contractsDegree centralityBetween. of centralityCloseness centralityEigenvec. centrality

(Intercept)−245 : 977 (−4.895)−2681 : 61 (−9.230)−0 : 5404 (−0.452)−273 : 358 (−6.228)0 : 001415 8.556)0 : 05801 (8.653)
complexity61 : 015 (6.590)277 : 67 (5.188)−0 : 2269 (−1.030)64 : 118 (7.929)−0 : 00014 (−4.570)−0 : 00258 (−2.093)
complexity56 : 764 (10.105)491 : 67 (15.140)1 : 5153 (11.339)55 : 671 (11.347)−0 : 00014 (−7.769)−0 : 00504 (−6.721)
R-squared0.23610.49570.51970.27590.16070.1688
DF343343343343343343
F-stats53.02168.6185.665.3332.8434.82
value2.2e − 162.2e − 162.2e − 162.2e − 168.91e − 141.711e − 14

Notes: this table shows how much of the standard network property measures can be explained by the proposed network flow complexity measures. Significance level code: 0.01 “,” 0.05 “,” and 0.1 “.