- by David Wilcock
20th July 2012
THE SAME PEOPLE RUN THE FEDERAL RESERVE
Next question: What kind of companies do you think these top 147 corporations are? Remember – they control a staggering 40 percent of the world’s wealth. As it says on page 6 of the paper, 75 percent of the corporations within the “super-entity” were financial institutions.
The top financial institutions within the “super-entity” should sound pretty familiar to you by now.They include Barclays Bank, JP Morgan Chase & Co., Merrill Lynch, UBS, Bank of New York, Deutsche Bank and Goldman Sachs.
Multiple investigators have concluded that these same financial institutions are the private banks that run the [United States] Federal Reserve [Bank].
Our Swiss scientists did provide us with a list of the top 50 of these corporations - fully one-third of the whole problem.
THE TOP 50 COMPANIES RULING THE WORLD
This list is featured in page 32 of the paper. From left to right, we see the Rank of the company, the Economic Actor Name, a two-digit Country code, a NACE Code, their Network Position, and their Cumulative Network Control (TM, %)
The lower the Cumulative Network Control number you see at the far right, the higher the amount of power they have.
Notice right away that Barclays Bank is the number one most powerful corporation in the entire hidden network - based on this analysis.
1 BARCLAYS PLC GB 6512 SCC 4.05
2 CAPITAL GROUP COMPANIES INC, THE US 6713 IN 6.66
3 FMR CORP US 6713 IN 8.94
4 AXA FR 6712 SCC 11.21
5 STATE STREET CORPORATION US 6713 SCC 13.02
6 JP MORGAN CHASE & CO. US 6512 SCC 14.55
7 LEGAL & GENERAL GROUP PLC GB 6603 SCC 16.02
8 VANGUARD GROUP, INC., THE US 7415 IN 17.25
9 UBS AG CH 6512 SCC 18.46
10 MERRILL LYNCH & CO., INC. US 6712 SCC 19.45
11 WELLINGTON MANAGEMENT CO. L.L.P. US 6713 IN 20.33
12 DEUTSCHE BANK AG DE 6512 SCC 21.17
13 FRANKLIN RESOURCES, INC. US 6512 SCC 21.99
14 CREDIT SUISSE GROUP CH 6512 SCC 22.81
15 WALTON ENTERPRISES LLC US 2923 T&T 23.56
16 BANK OF NEW YORK MELLON CORP. US 6512 IN 24.28
17 NATIXIS FR 6512 SCC 24.98
18 GOLDMAN SACHS GROUP, INC., THE US 6712 SCC 25.64
19 T. ROWE PRICE GROUP, INC. US 6713 SCC 26.29
20 LEGG MASON, INC. US 6712 SCC 26.92
21 MORGAN STANLEY US 6712 SCC 27.56
22 MITSUBISHI UFJ FINANCIAL GROUP, INC. JP 6512 SCC 28.16
23 NORTHERN TRUST CORPORATION US 6512 SCC 28.72
24 SOCIÉTÉ GÉNÉRALE FR 6512 SCC 29.26
25 BANK OF AMERICA CORPORATION US 6512 SCC 29.79
26 LLOYDS TSB GROUP PLC GB 6512 SCC 30.30
27 INVESCO PLC GB 6523 SCC 30.82
28 ALLIANZ SE DE 7415 SCC 31.32
29 TIAA US 6601 IN 32.24
30 OLD MUTUAL PUBLIC LIMITED COMPANY GB 6601 SCC 32.69
31 AVIVA PLC GB 6601 SCC 33.14
32 SCHRODERS PLC GB 6712 SCC 33.57
33 DODGE & COX US 7415 IN 34.00
34 LEHMAN BROTHERS HOLDINGS, INC. US 6712 SCC 34.43
35 SUN LIFE FINANCIAL, INC. CA 6601 SCC 34.82
36 STANDARD LIFE PLC GB 6601 SCC 35.2
37 CNCE FR 6512 SCC 35.57
38 NOMURA HOLDINGS, INC. JP 6512 SCC 35.92
39 THE DEPOSITORY TRUST COMPANY US 6512 IN 36.28
40 MASSACHUSETTS MUTUAL LIFE INSUR. US 6601 IN 36.63
41 ING GROEP N.V. NL 6603 SCC 36.96
42 BRANDES INVESTMENT PARTNERS, L.P. US 6713 IN 37.29
43 UNICREDITO ITALIANO SPA IT 6512 SCC 37.61
44 DEPOSIT INSURANCE CORPORATION OF JP JP 6511 IN 37.93
45 VERENIGING AEGON NL 6512 IN 38.25
46 BNP PARIBAS FR 6512 SCC 38.56
47 AFFILIATED MANAGERS GROUP, INC. US 6713 SCC 38.88
48 RESONA HOLDINGS, INC. JP 6512 SCC 39.18
49 CAPITAL GROUP INTERNATIONAL, INC. US 7414 IN 39.48
50 CHINA PETROCHEMICAL GROUP CO. CN 6511 T&T 39.78
YES, THERE IS A MONOPOLY - AND THAT POSES SEVERE RISKS
The next big question is whether this monopoly is engaged in cartel-style corruption. Do they secretly conspire to rig the markets and profit extensively? The Swiss scientists used the term "bloc" to describe such a cartel, as we will see in a bit.
In this first excerpt from the Discussion section, they reveal that there is no direct evidence yet that this is being done - but the implications are fearsome if there is.
"The fact that control is highly concentrated in the hands of few top holders does not determine if and how they are interconnected… This remarkable finding raises at least two questions that are fundamental to the understanding of the functioning of the global economy.
"Firstly, what are the implication for global financial stability?
"Recent works have shown that when a financial network is very densely connected, it is prone to systemic risk [24, 16]. Indeed, while in good times the network is seemingly robust, in bad times firms go into dis-tress simultaneously. This knife-edge property [25, 26] was witnessed during the recent financial turmoil [in the Lehman Brothers collapse of 2008]."
THEY COULD FORM A CARTEL-STYLE "BLOC"
THAT ELIMINATES COMPETITION
In this next excerpt, our Swiss scientists admit that it is "not unlikely" that this centralized network could be playing dirty -- and cheating the world on a vast scale.
"Secondly, what are the implications for market competition?
"Since many TNC's in the core have overlapping domains of activity, the fact that they are connected by ownership relations could facilitate the formation of blocs, which would hamper market competition .
Remarkably, the existence of such a core in the global market was never documented before and thus, so far, no scientific study demonstrates or excludes that this international “super-entity” has ever acted as a bloc.
THIS IS NOT AN UNLIKELY SCENARIO
As we go on from here, the Swiss scientists remind us of other examples of cartel-style "blocs" that are already on the public historical record.
"However, some examples suggest that this is not an unlikely scenario. For instance, previous studies have shown how even small cross-shareholding structures at a national level can affect market competition in sectors such as airline, automobile and steel, as well as the financial one [14, 13]. At the same time, anti-trust institutions around the world (e.g., the UK Office of Fair Trade) closely monitor complex ownership structures within their national borders."
[DW: Here, the scientists never consider that the regulatory agencies could also be compromised.]
"The fact that international data sets as well as methods to handle large networks became available only very recently, may explain how this finding could go unnoticed for so long…"