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Topic 001
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| CountryHello world | Year | Rank | Total | C1: Security Apparatus | C2: Factionalized Elites | C3: Group Grievance | E1: Economy | E2: Economic Inequality | E3: Human Flight and Brain Drain | P1: State Legitimacy | P2: Public Services | P3: Human Rights | S1: Demographic Pressures | S2: Refugees and IDPs | X1: External Intervention | Change from Previous Year |
| Yemen | 2020 | 1st | 112,4 | 9,7 | 10,0 | 9,7 | 9,4 | 7,8 | 7,0 | 9,9 | 9,5 | 10,0 | 9,8 | 9,7 | 10,0 | -1,1 |
| Somalia | 2020 | 2nd | 110,9 | 9,8 | 10,0 | 8,6 | 9,1 | 9,4 | 8,9 | 8,9 | 9,1 | 9,0 | 10,0 | 9,1 | 9,0 | -1,3 |
| South Sudan | 2020 | 3rd | 110,8 | 9,4 | 9,7 | 9,1 | 9,5 | 9,2 | 6,8 | 9,9 | 9,5 | 9,0 | 9,5 | 9,7 | 9,5 | -1,4 |
| Syria | 2020 | 4th | 110,7 | 9,9 | 9,9 | 10,0 | 8,7 | 7,2 | 8,4 | 10,0 | 9,1 | 10,0 | 7,6 | 10,0 | 10,0 | -0,9 |
| Congo Democratic Republic | 2020 | 5th | 109,4 | 8,5 | 9,8 | 9,7 | 8,0 | 8,6 | 6,9 | 9,7 | 9,5 | 9,5 | 9,8 | 10,0 | 9,4 | -0,8 |
| Central African Republic | 2020 | 6th | 107,5 | 8,3 | 9,7 | 8,0 | 8,4 | 9,9 | 6,8 | 8,9 | 10,0 | 9,2 | 8,8 | 10,0 | 9,5 | -1,4 |
| Chad | 2020 | 7th | 106,4 | 9,2 | 9,5 | 8,3 | 8,5 | 8,9 | 8,4 | 9,3 | 9,4 | 8,5 | 9,6 | 9,2 | 7,7 | -2,1 |
| Sudan | 2020 | 8th | 104,8 | 8,4 | 9,4 | 9,4 | 8,1 | 8,0 | 8,0 | 9,3 | 8,3 | 8,9 | 9,1 | 9,3 | 8,6 | -3,1 |
| Afghanistan | 2020 | 9th | 102,9 | 9,9 | 8,9 | 7,5 | 8,3 | 7,7 | 7,5 | 9,0 | 9,5 | 7,6 | 9,0 | 9,3 | 8,6 | -2,1 |
| Zimbabwe | 2020 | 10th | 99,2 | 8,5 | 10,0 | 6,4 | 8,6 | 7,6 | 7,0 | 9,1 | 8,7 | 8,3 | 9,3 | 8,5 | 7,2 | -0,3 |
| Burundi | 2020 | 11th | 97,9 | 8,3 | 7,9 | 7,6 | 8,5 | 7,3 | 5,9 | 9,1 | 7,9 | 9,1 | 9,2 | 8,5 | 8,5 | -0,2 |
| Cameroon | 2020 | 11th | 97,9 | 8,2 | 9,3 | 8,6 | 6,8 | 7,7 | 7,6 | 8,9 | 8,3 | 7,8 | 8,8 | 8,6 | 7,3 | 0,9 |
| Haiti | 2020 | 13th | 97,7 | 6,9 | 9,6 | 5,6 | 8,5 | 9,1 | 8,1 | 9,1 | 9,3 | 6,9 | 8,2 | 7,1 | 9,3 | -1,6 |
| Nigeria | 2020 | 14th | 97,3 | 8,7 | 9,9 | 9,1 | 7,9 | 7,8 | 6,6 | 8,1 | 8,9 | 8,4 | 9,3 | 6,9 | 5,7 | -1,3 |
| Guinea | 2020 | 15th | 97,2 | 8,3 | 9,6 | 9,2 | 8,3 | 7,0 | 6,8 | 9,9 | 9,2 | 6,8 | 8,3 | 7,3 | 6,5 | -2,2 |
| Mali | 2020 | 16th | 96,0 | 9,5 | 5,7 | 8,4 | 7,3 | 7,0 | 8,0 | 7,0 | 8,8 | 7,7 | 8,6 | 8,4 | 9,6 | 1,4 |
| Iraq | 2020 | 17th | 95,9 | 8,2 | 9,6 | 8,5 | 5,6 | 6,4 | 6,8 | 9,1 | 8,4 | 7,8 | 8,1 | 8,6 | 8,8 | -3,2 |
| Eritrea | 2020 | 18th | 95,8 | 6,5 | 8,1 | 8,0 | 7,4 | 8,6 | 8,8 | 9,4 | 7,5 | 8,7 | 8,2 | 7,7 | 7,0 | -0,6 |
| Niger | 2020 | 19th | 95,3 | 8,8 | 8,9 | 7,8 | 6,8 | 7,7 | 7,3 | 7,0 | 9,2 | 6,9 | 8,7 | 8,4 | 7,8 | -1,0 |
| Libya | 2020 | 20th | 95,2 | 9,5 | 9,7 | 7,8 | 8,0 | 5,3 | 5,7 | 9,8 | 6,9 | 9,4 | 5,3 | 8,0 | 9,8 | 3,1 |
| Ethiopia | 2020 | 21st | 94,6 | 7,9 | 8,9 | 9,0 | 6,1 | 6,2 | 6,3 | 8,5 | 8,3 | 7,9 | 9,1 | 8,8 | 7,6 | 0,4 |
| Myanmar | 2020 | 22nd | 94,0 | 8,8 | 8,0 | 9,8 | 5,0 | 7,0 | 6,8 | 8,0 | 8,4 | 9,4 | 6,3 | 9,1 | 7,4 | -0,3 |
| Guinea Bissau | 2020 | 23rd | 92,9 | 8,0 | 9,6 | 4,6 | 7,4 | 9,4 | 7,2 | 8,6 | 8,6 | 6,9 | 8,4 | 6,4 | 7,7 | -2,5 |
| Uganda | 2020 | 24th | 92,8 | 7,2 | 8,9 | 8,0 | 6,0 | 6,8 | 7,0 | 8,3 | 7,3 | 7,7 | 9,2 | 8,8 | 7,6 | -2,5 |
| Pakistan | 2020 | 25th | 92,1 | 8,2 | 9,0 | 9,1 | 7,1 | 5,6 | 6,5 | 7,6 | 7,7 | 7,1 | 7,9 | 7,8 | 8,5 | -2,1 |
| Congo Republic | 2020 | 25th | 92,1 | 7,3 | 6,7 | 8,1 | 7,8 | 8,4 | 7,1 | 9,1 | 8,6 | 8,1 | 8,0 | 6,7 | 6,2 | -0,4 |
| Mozambique | 2020 | 27th | 91,7 | 6,8 | 7,1 | 5,3 | 8,3 | 9,5 | 7,4 | 7,3 | 9,4 | 5,3 | 9,8 | 7,6 | 7,9 | 3,1 |
| Venezuela | 2020 | 28th | 91,2 | 7,2 | 9,2 | 7,3 | 8,7 | 6,6 | 6,4 | 9,3 | 8,4 | 9,0 | 6,5 | 6,6 | 6,0 | 1,9 |
| Kenya | 2020 | 29th | 90,3 | 7,7 | 8,6 | 8,3 | 6,5 | 7,3 | 6,9 | 7,9 | 7,7 | 6,5 | 8,3 | 7,4 | 7,2 | -3,3 |
| North Korea | 2020 | 30th | 90,2 | 8,3 | 8,5 | 5,5 | 8,6 | 7,2 | 4,1 | 9,9 | 8,3 | 9,4 | 6,8 | 4,1 | 9,5 | -2,5 |
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Fund Name | Asset Class | AUM (USD mm) | YTD Return (%) | Expense Ratio (%) |
| Vanguard Total Market | Equity | 1250,4 | 8,32 | 0,03 |
| BlackRock Bond Index | Fixed Income | 780,1 | 3,15 | 0,05 |
| Fidelity Growth Fund | Equity | 540,7 | 11,47 | 0,75 |
| PIMCO Income Fund | Fixed Income | 430,2 | 2,89 | 0,55 |
| iShares Real Estate ETF | Real Estate | 210,5 | 5,6 | 0,08 |
| Invesco Commodity Fund | Commodities | 165,3 | -1,22 | 0,62 |
| T. Rowe Blue Chip Growth | Equity | 895 | 14,1 | 0,69 |
| Schwab International Eq. | Equity | 320,8 | 6,75 | 0,06 |
| JPMorgan Balanced Fund | Mixed | 455,6 | 4,9 | 0,45 |
| Goldman Multi-Asset | Mixed | 275 | 7,34 | 0,8 |
The Test001we use Large Language Models – at work or at home – the more potentially sensitive data we release out into the world, putting the onus on keeping that information safe. At the same time, agentic AI is paving the way for ever more sophisticated cyberattacks. Generic phishing emails with poor spelling are easy to spot. But an authentic-looking message from Human Resources or a realistic voice note can deceive even the most vigilant among us. Machines hacking machines are an emerging area of concern in data protection. All this presents a big challenge for the cyber security industry – but also a big opportunity for security companies that can harness AI’s power to protect organisations and consumers. There is a hacker infiltration every 39 seconds, and millions of records are stolen through breaches everyday.https://deepstrike.io/blog/how-many-cyberattacks-happen-every-dayIt’s not surprising, therefore, that global spending on cyber security is forecast to grow by nearly 14% a year, according to Gartner. The challenge is to develop machines and software that can defend us from other machines.
Scenario
| Summary of market impact | Impact vectors | Medium-term implications | Closest historical template | Time horizon | Oil Brent, USD/bbl | Gold, | USD, % | US 10-yr yield, bps | Global equities, |
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Current: |
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| Price action so far*:
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+17 | 0% | +1% | +5bps | -2% | ||||||
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| Forecast price action from pre-attack levels: | ||||
Managed regime change in Iran | Initially a pronounced spike in market volatility, but calm restored soon after |
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| ~2-4 weeks | +10 | +5% | +2% | 0 | -5% |
Serious regional escalation | Significant global sentiment shock, pronounced sell off in equity markets World recession avoided |
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| ~1-2 months | +30 | +20% | +5% | -15 | -10% |
Multi-theatre global conflict | Much of the world shifts to a war footing Severe impact on financial markets |
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| ~6-12 | +70 | +100% | +20% | -200 | -50% |
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The Testnew componentwe use Large Language Models – at work or at home – the more potentially sensitive data we release out into the world, putting the onus on keeping that information safe. At the same time, agentic AI is paving the way for ever more sophisticated cyberattacks. Generic phishing emails with poor spelling are easy to spot. But an authentic-looking message from Human Resources or a realistic voice note can deceive even the most vigilant among us. Machines hacking machines are an emerging area of concern in data protection. All this presents a big challenge for the cyber security industry – but also a big opportunity for security companies that can harness AI’s power to protect organisations and consumers. There is a hacker infiltration every 39 seconds, and millions of records are stolen through breaches everyday.https://deepstrike.io/blog/how-many-cyberattacks-happen-every-dayIt’s not surprising, therefore, that global spending on cyber security is forecast to grow by nearly 14% a year, according to Gartner. The challenge is to develop machines and software that can defend us from other machines.