andrew w. lo, mit september 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/lo-slides-final.pdf ·...

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What Do We Know What Do We Know What Do We Know What Do We Know Now That The Dust Has Settled?: Now That The Dust Has Settled?: Systemic Risk Systemic Risk Andrew W. Lo, MIT September 29, 2016 September 29, 2016

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Page 1: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

What Do We KnowWhat Do We KnowWhat Do We KnowWhat Do We KnowNow That The Dust Has Settled?:Now That The Dust Has Settled?:

Systemic RiskSystemic RiskAndrew W. Lo, MITSeptember 29, 2016September 29, 2016

Page 2: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Progress Since The CrisisProgress Since The CrisisStatistic July 2009 July 2016Unemployment1 9.5% 4.9%

2GDP Growth2 1.0%  1.1%

Housing Starts3 581,000  1,189,000

Inflation3 1.0% 1.0%

10 U.S. 10‐Year Treasury4 3.67% 1.49%

Fed Balance Sheet5 $2,074,822MM $4,472,202MM 

U S D ll I d 6 76 4384 90 8579U.S. Dollar Index6 76.4384 90.8579

Systemic Risk ??? ???

1June 2006 and 2016; 22009Q1 and 2016Q1; 3June 2009 and 2016; 417 July 2009 and 18 July 2016;

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 2

June 2006 and 2016;  2009Q1 and 2016Q1;  June 2009 and 2016;  17 July 2009 and 18 July 2016; 515 July 2009 and 13 July 2016; 615 July 2009 and 15 July 2016.

Page 3: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Macroprudential Policy InterventionMacroprudential Policy Intervention Risk management involves pain

– Raise capital, reduce leverage, cut exposures, putRaise capital, reduce leverage, cut exposures,  put on hedge, buy insurance, slow/reverse growth of business unit(s)business unit(s)

Taking resources away from a currently fit bl ti itprofitable activity

Why??y© 2016 by Andrew W. Lo

All Rights Reserved29 Sep 2016 Slide 3

Page 4: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Macroprudential Policy InterventionMacroprudential Policy Intervention

Motivation: to avoid even greater future pain

A new (and more compelling) narrative is needed

That’s the role of systemic risk measures

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 4

risk measures

Page 5: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Measuring Systemic RiskMeasuring Systemic RiskSome General Observations No single measure is likely to be sufficientg y Existing measures may become obsolete (Lucas critique) New measures will need to be developed New measures will need to be developed Academic research and collaboration with industry and 

t i iti lgovernment is critical Industry can’t/won’t do this (farmers vs. the National Weather Service)

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 5

Page 6: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Let A Thousand Flowers BloomLet A Thousand Flowers BloomSurvey of Systemic Risk Measures (over 30!)

https://financialresearch.gov/working‐p // g / gpapers/files/OFRwp0001_BisiasFloodLoValavanis_MatlabCode‐v0_3.zip

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 6

Page 7: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Let A Thousand Flowers BloomLet A Thousand Flowers Bloom

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 7

Page 8: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Hanley and Hanley and HobergHoberg Text‐mining for topics/risks in 10‐K’s of 500 banks! 

f f S b O l (199 2001 2003 201 ) Before vs. after Sarbanes‐Oxley (1994‐2001, 2003‐2014) Cluster analysis of topics (systematic vs. idiosyncratic)O ll i f 10 K ( i l )Overall sentiment of 10‐K (measuring culture)

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 8

Page 9: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Nyman, Gregory, Nyman, Gregory, KapadiaKapadia, , OrmerodOrmerod, , TuckettTuckett, , SmithSmith

Te t mining for sentiment in BoE market s mmaries Text‐mining for sentiment in BoE market summaries, broker reports, and Reuters newsfeeds

Conviction Narrative Theory; “excitement” vs. “anxiety” Other measures of market sentiment (put/call ratios)Asymmetric HOO/RSS and the “Peltzman Effect” Consensus measures and countercyclical buffers Consensus measures and countercyclical buffers

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 9

Page 10: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Nyman, Gregory, Nyman, Gregory, KapadiaKapadia, , OrmerodOrmerod, , TuckettTuckett, , SmithSmith

Asymmetry suggests overconfidence  booms

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 10

Page 11: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Nyman, Gregory, Nyman, Gregory, KapadiaKapadia, , OrmerodOrmerod, , TuckettTuckett, , SmithSmith

Wh d l k lik b 1996 d What does consensus look like between 1996 and 2006? Can we measure polarity? How can regulators 

t t t t li l li i ?use consensus to construct countercyclical policies?© 2016 by Andrew W. Lo

All Rights Reserved29 Sep 2016 Slide 11

Page 12: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

GabrieliGabrieli and Georgand Georg Network model of interbank loans from  July 4 to October 30, 2008

Linear regressions relating measures of connectedness and importance to liquidity provision and accessp q y p

For early‐warning signals, how about 2007 data?What about network topology and vulnerabilities?What about network topology and vulnerabilities? Can the dynamics of contagion be estimated?

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 12

Page 13: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Gabrieliy and GeorgGabrieliy and Georg

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Page 13

Source: John B. Taylor

Page 14: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

GabrieliGabrieli and Georgand Georg3 M th LIBOR/OIS S d3‐Month LIBOR/OIS SpreadAugust 2006 to October 2008

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Page 14

Source: Sengupta and Tam (2008, St. Louis Fed)

Page 15: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

GabrieliGabrieli and Georgand GeorgJune 24, 2016 June 27, 2016

Billio, Getmansky, Gray, Lo, Merton, and Pelizzon (2016)

Red: BankBlue: InsuranceBlack: Sovereign

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 15

Black: Sovereign

Page 16: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

ConclusionConclusion Financial markets are highly dynamic Risks vary over time, circumstances, strategies Financial stability is, therefore, also dynamic Regulation should adapt in tandem and account for Regulation should adapt in tandem and account for human behavior (Lucas critique + behavioral critique)

You can’t manage what you don’t measure You can’t manage what you don’t measure Proven systemic risk measures can offer narrative

© 2016 by Andrew W. Lo All Rights Reserved29 Sep 2016 Slide 16

Page 17: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

ConclusionConclusionExample:  Aron Lee Ralston, 4/26/03 Hiking on 4/26/03 in Blue John Canyon, Utahg y Trapped for 127 hours Finally escaped by amputating Finally escaped by amputating                                       his own  right forearmH ?? How??

A different narrative!

© 2016 by Andrew W. Lo All Rights Reserved Slide 1729 Sep 2016

Page 18: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

ConclusionConclusionExample:  Aron Lee Ralston, 4/26/03A blond three‐year‐old boy in a red polo shirt comes running across a sunlith d d fl i h t I h k i f t h B thhardwood floor in what I somehow know is my future home. By the sameintuitive perception, I know the boy is my own. I bend to scoop him into my leftarm, using my handless right arm to balance him, and we laugh together as Iswing him up to my shoulder… Then, with a shock, the vision blinks out. I’m backin the canyon, echoes of his joyful sounds resonating in my mind, creating asubconscious reassurance that somehow I will survive this entrapment. Despitehaving already come to accept that I will die where I stand before help arrives,now I believe I will live.That belief that boy changes everything for me

© 2016 by Andrew W. Lo All Rights Reserved Slide 1829 Sep 2016

That belief, that boy, changes everything for me.

Page 19: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

ConclusionConclusionExample:  Aron Lee Ralston, 4/26/03 In 2003, Ralston was was not engaged, married, and g ghad no children

Ralston married in August 2009Ralston married in August 2009 Son Leo was born in 2010

© 2016 by Andrew W. Lo All Rights Reserved Slide 1929 Sep 2016

Page 20: Andrew W. Lo, MIT September 29, 2016gcfp.mit.edu/wp-content/uploads/2016/10/Lo-Slides-Final.pdf · June2006 and 2016;2009Q1 2016Q1; 200917 July18 5 15 July2009 and13 2016; 6 2016

Thank You!Thank You!Thank You!Thank You!