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RISK & ASSET MANAGEMENT IN THE AGE OF DISRUPTION
April 19, 2016
Financial Network Analytics
Alan Laubsch
Chief Community Builder
alan@fna.fi
2
Agenda
1. Adaptive Risk Management
2. Identifying Phase Transitions
3. Asset Management Challenges
3
Market linkages
Asset price data
Clustering
Balance sheet data
Network Maps reveal connected risks and
hidden opportunities
Bilateral exposure data
Central nodes
4
How to manage systemic risk?
As in healthcare, our best chance lies is early detection
Source: MULTIPLE SCLEROSIS: ORIGIN OF ABNORMAL CELLS FOUND, UC
DAVIS (2011)
5
Diffusion of Disruptive Innovation
Source: Wikipedia; see Geoffrey Moore’s “Crossing the Chasm” (1999)
1.Macro: Scenarios from Innovators
2. Micro: Market signals from Early Adopters
U.S. Subprime Bond Early Warning Case Study
1. Robert Shiller warns of housing Bubble in 2005 (Macro)
99% VaR bands vs 2006-1 AAA spread changes
Source: Alan Laubsch “Subprime Risk Management Lessons”, RiskMetrics
Three stages of risk
8
US Housing Bubble: A Network View
View Interactive Animation
European Sovereign Bond Crisis Early Warning
View Interactive Map
Greece EU Decoupling from Oct
2008
Most correlated: Portugal, Ireland, Spain, Italy
1
Implication of Complexity
From “Predict & Control” to “Sense and Respond”
with Dynamic Steering
12
Agenda
1. Adaptive Risk Management
2. Identifying Phase Transitions
3. Asset Management Challenges
13
Dragon King
(Sornette 2009)
Black Swan
(Taleb 2001, 2007)
Two kinds of crises
What are you afraid of?
The future is already here. It’s just not very evenly distributed.
- William Gibson
14
What precipitated Energy’s 24 June 2014 tipping
point?
View Video
15
Disruptive Energy “Dragon Kings”
The future is already here. It’s just not very evenly
distributed. - William Gibson
Alternatives
Divestment
Carbon Price
16
Accelerating Rates of Adoption
17
Rise of the machines…
18
… and robo-advisors
The new generation of wealth owners:
● Born Digital: networked
● Visual, intuitive, fast to learn Apps for every
problem
20
Agenda
1. Adaptive Risk Management
2. Identifying Phase Transitions
3. Asset Management Challenges
21
Asset Management Challenges
I. Big picture view of connected risks
II. Sense & respond to emerging themes
III. Amplify human intelligence
22
I. Big picture network view: hidden patterns
Nov 28 2014 OPEC Black Friday “Surprise”
23
Systemic implications?
Amplifiers?
Highlight fragile assets, key pressure points
24
FNA Correlations China Case Study:
Traffic Light Signals: Bull Topping Bear
17 April negative outlier with subsequent clustering & imbalance
pointed to phase transition
1. Exponential
rise
2. Topping
process
3. Negative
spiral
Contagion
FNA Correlations Signals: Exit long China 17 April. Short China 6 June.
25
Signal: Reduce Global Equity Positions 29 June
Systematic risk
jumps
Increased
coupling
Broad outlier spike
(1yr+ max)
Clustered big outliers at
network core
(2.8σ+ for S&P 500 and other
broad indices)
Flight to safety
assets
FNA Correlation Map reveals global contagion
26
29 June Marked Global Contagion
Systematic risk spikes from 100 day low as Length of Tree shrinks
27
8 July Crescendo Confirms Contagion
Signal: Continue reduction of equities, move Aggressive Portfolio
clients to Conservative
Signal: Underweight Global Equities
28
II. Sense & respond to emerging risk
• Proactive risk management is critical given tipping point dynamics
Source: “Building A Reputation Risk Management Capability”, Diermeier & Loeb, 2011
Invisible/Potential
Visible & amplifying
29
Build robust portfolios using relevant
stress tests
Reverse Stress Testing Balanced Portfolios reveals increased risk
due to IR + Equity coupling
30
III. Amplify intelligence with dynamic maps
Rapid environmental awareness is critical for navigating challenging
terrain
“MIT scientists develop Prometheus like environment scanner”
Source: computerstories.net
FNA maps amplify human intelligence in the asset
management ecosystem
● Asset managers can effectively sense and respond to emerging risks
and opportunities .
● Risk managers can detect portfolio concentrations and easily generate
relevant stress scenarios (including Reverse Stress Tests).
● Wealth Management Advisors can use FNA maps to discuss driving
themes in the macro investment landscape with clients.
● Private clients can visually monitor and explore the evolving
investment landscape with institutional quality analytics at their
fingertips. Importantly, FNA’s interactive visual analytics bridge the
gap with the emerging “born digital” generation who are transforming
the wealth landscape globally.
32
SUMMARY & CONCLUSIONS
The Power of Connected Data
Network Science is transforming industries
Fast growing companies base their businesses on connected
data
Network Science helps to detect patterns in complex data
Google’s graph based algorithm,
PageRank, replaced Altavista’s
disconnected page indexing
LinkedIn’s networking based model
is replacing Monster’s static unlinked
CV’s
FNA: A Financial GPS System to nagivate
global markets
Network Algorithms identify systemic pressure points
Graph Analytics use human visual intelligence for pattern recognition
35
Maps amplify human intelligence in the
entire asset management ecosystem
I
Asset Manager Risk Manager
Wealth
Manager
Private Client
Identify and
discuss
systemic
patterns
Develop
visual
intuition
Build
Community
FNA
Alan Laubsch
alan@fna.fi
Thank You
Sign up for weekly updated FNA Maps blog at maps.fna.fi

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Risk & Asset Management Challenges in the Age of Disruption

  • 1. RISK & ASSET MANAGEMENT IN THE AGE OF DISRUPTION April 19, 2016 Financial Network Analytics Alan Laubsch Chief Community Builder alan@fna.fi
  • 2. 2 Agenda 1. Adaptive Risk Management 2. Identifying Phase Transitions 3. Asset Management Challenges
  • 3. 3 Market linkages Asset price data Clustering Balance sheet data Network Maps reveal connected risks and hidden opportunities Bilateral exposure data Central nodes
  • 4. 4 How to manage systemic risk? As in healthcare, our best chance lies is early detection Source: MULTIPLE SCLEROSIS: ORIGIN OF ABNORMAL CELLS FOUND, UC DAVIS (2011)
  • 5. 5 Diffusion of Disruptive Innovation Source: Wikipedia; see Geoffrey Moore’s “Crossing the Chasm” (1999) 1.Macro: Scenarios from Innovators 2. Micro: Market signals from Early Adopters
  • 6. U.S. Subprime Bond Early Warning Case Study 1. Robert Shiller warns of housing Bubble in 2005 (Macro) 99% VaR bands vs 2006-1 AAA spread changes Source: Alan Laubsch “Subprime Risk Management Lessons”, RiskMetrics
  • 8. 8 US Housing Bubble: A Network View View Interactive Animation
  • 9. European Sovereign Bond Crisis Early Warning View Interactive Map
  • 10. Greece EU Decoupling from Oct 2008 Most correlated: Portugal, Ireland, Spain, Italy
  • 11. 1 Implication of Complexity From “Predict & Control” to “Sense and Respond” with Dynamic Steering
  • 12. 12 Agenda 1. Adaptive Risk Management 2. Identifying Phase Transitions 3. Asset Management Challenges
  • 13. 13 Dragon King (Sornette 2009) Black Swan (Taleb 2001, 2007) Two kinds of crises What are you afraid of? The future is already here. It’s just not very evenly distributed. - William Gibson
  • 14. 14 What precipitated Energy’s 24 June 2014 tipping point? View Video
  • 15. 15 Disruptive Energy “Dragon Kings” The future is already here. It’s just not very evenly distributed. - William Gibson Alternatives Divestment Carbon Price
  • 17. 17 Rise of the machines…
  • 19. The new generation of wealth owners: ● Born Digital: networked ● Visual, intuitive, fast to learn Apps for every problem
  • 20. 20 Agenda 1. Adaptive Risk Management 2. Identifying Phase Transitions 3. Asset Management Challenges
  • 21. 21 Asset Management Challenges I. Big picture view of connected risks II. Sense & respond to emerging themes III. Amplify human intelligence
  • 22. 22 I. Big picture network view: hidden patterns Nov 28 2014 OPEC Black Friday “Surprise”
  • 24. 24 FNA Correlations China Case Study: Traffic Light Signals: Bull Topping Bear 17 April negative outlier with subsequent clustering & imbalance pointed to phase transition 1. Exponential rise 2. Topping process 3. Negative spiral Contagion FNA Correlations Signals: Exit long China 17 April. Short China 6 June.
  • 25. 25 Signal: Reduce Global Equity Positions 29 June Systematic risk jumps Increased coupling Broad outlier spike (1yr+ max) Clustered big outliers at network core (2.8σ+ for S&P 500 and other broad indices) Flight to safety assets FNA Correlation Map reveals global contagion
  • 26. 26 29 June Marked Global Contagion Systematic risk spikes from 100 day low as Length of Tree shrinks
  • 27. 27 8 July Crescendo Confirms Contagion Signal: Continue reduction of equities, move Aggressive Portfolio clients to Conservative Signal: Underweight Global Equities
  • 28. 28 II. Sense & respond to emerging risk • Proactive risk management is critical given tipping point dynamics Source: “Building A Reputation Risk Management Capability”, Diermeier & Loeb, 2011 Invisible/Potential Visible & amplifying
  • 29. 29 Build robust portfolios using relevant stress tests Reverse Stress Testing Balanced Portfolios reveals increased risk due to IR + Equity coupling
  • 30. 30 III. Amplify intelligence with dynamic maps Rapid environmental awareness is critical for navigating challenging terrain “MIT scientists develop Prometheus like environment scanner” Source: computerstories.net
  • 31. FNA maps amplify human intelligence in the asset management ecosystem ● Asset managers can effectively sense and respond to emerging risks and opportunities . ● Risk managers can detect portfolio concentrations and easily generate relevant stress scenarios (including Reverse Stress Tests). ● Wealth Management Advisors can use FNA maps to discuss driving themes in the macro investment landscape with clients. ● Private clients can visually monitor and explore the evolving investment landscape with institutional quality analytics at their fingertips. Importantly, FNA’s interactive visual analytics bridge the gap with the emerging “born digital” generation who are transforming the wealth landscape globally.
  • 33. The Power of Connected Data Network Science is transforming industries Fast growing companies base their businesses on connected data Network Science helps to detect patterns in complex data Google’s graph based algorithm, PageRank, replaced Altavista’s disconnected page indexing LinkedIn’s networking based model is replacing Monster’s static unlinked CV’s
  • 34. FNA: A Financial GPS System to nagivate global markets Network Algorithms identify systemic pressure points Graph Analytics use human visual intelligence for pattern recognition
  • 35. 35 Maps amplify human intelligence in the entire asset management ecosystem I Asset Manager Risk Manager Wealth Manager Private Client Identify and discuss systemic patterns Develop visual intuition Build Community
  • 36. FNA Alan Laubsch alan@fna.fi Thank You Sign up for weekly updated FNA Maps blog at maps.fna.fi