0:00:00.818,0:00:02.328 Once upon a time 0:00:02.328,0:00:08.979 we lived in an economy of financial growth and prosperity. 0:00:08.979,0:00:12.674 This was called the Great Moderation, 0:00:12.674,0:00:16.080 the misguided belief by most economists, 0:00:16.080,0:00:19.383 policymakers and central banks 0:00:19.383,0:00:22.714 that we have transformed into a new world 0:00:22.714,0:00:26.571 of never-ending growth and prosperity. 0:00:26.571,0:00:31.314 This was seen by robust and steady GDP growth, 0:00:31.314,0:00:34.314 by low and controlled inflation, 0:00:34.314,0:00:36.553 by low unemployment, 0:00:36.553,0:00:40.459 and controlled and low financial volatility. 0:00:40.459,0:00:47.091 But the Great Recession in 2007 and 2008, 0:00:47.091,0:00:50.570 the great crash, broke this illusion. 0:00:50.570,0:00:55.594 A few hundred billion dollars of losses in the financial sector 0:00:55.594,0:00:59.674 cascaded into five trillion dollars 0:00:59.674,0:01:01.558 of losses in world GDP 0:01:01.558,0:01:05.361 and almost $30 trillion losses 0:01:05.361,0:01:09.306 in the global stock market. 0:01:09.306,0:01:14.501 So the understanding of this Great Recession 0:01:14.501,0:01:19.862 was that this was completely surprising, 0:01:19.862,0:01:21.208 this came out of the blue, 0:01:21.208,0:01:24.125 this was like the wrath of the gods. 0:01:24.125,0:01:25.916 There was no responsibility. 0:01:25.916,0:01:27.839 So, as a reflection of this, 0:01:27.839,0:01:31.448 we started the Financial Crisis Observatory. 0:01:31.448,0:01:35.386 We had the goal to diagnose in real time 0:01:35.386,0:01:37.757 financial bubbles 0:01:37.757,0:01:43.614 and identify in advance their critical time. 0:01:43.614,0:01:46.972 What is the underpinning, scientifically, of this financial observatory? 0:01:46.972,0:01:51.598 We developed a theory called "dragon-kings." 0:01:51.598,0:01:54.804 Dragon-kings represent extreme events 0:01:54.804,0:01:58.076 which are of a class of their own. 0:01:58.076,0:02:00.919 They are special. They are outliers. 0:02:00.919,0:02:04.359 They are generated by specific mechanisms 0:02:04.359,0:02:07.245 that may make them predictable, 0:02:07.245,0:02:10.143 perhaps controllable. 0:02:10.143,0:02:13.970 Consider the financial price time series, 0:02:13.970,0:02:16.143 a given stock, your perfect stock, 0:02:16.143,0:02:18.495 or a global index. 0:02:18.495,0:02:20.549 You have these up-and-downs. 0:02:20.549,0:02:24.111 A very good measure of the risk of this financial market 0:02:24.111,0:02:26.533 is the peaks-to-valleys that represent 0:02:26.533,0:02:28.829 a worst case scenario 0:02:28.829,0:02:32.502 when you bought at the top and sold at the bottom. 0:02:32.502,0:02:36.251 You can look at the statistics, the frequency of the occurrence 0:02:36.251,0:02:38.606 of peak-to-valleys of different sizes, 0:02:38.606,0:02:41.157 which is represented in this graph. 0:02:41.157,0:02:44.189 Now, interestingly, 99 percent 0:02:44.189,0:02:47.982 of the peak-to-valleys of different amplitudes 0:02:47.982,0:02:51.442 can be represented by a universal power law 0:02:51.442,0:02:54.893 represented by this red line here. 0:02:54.893,0:02:59.039 More interestingly, there are outliers, there are exceptions 0:02:59.039,0:03:00.942 which are above this red line, 0:03:00.942,0:03:04.701 occur 100 times more frequently, at least, 0:03:04.701,0:03:08.854 than the extrapolation would predict them to occur 0:03:08.854,0:03:12.791 based on the calibration of the 99 percent remaining 0:03:12.791,0:03:15.040 peak-to-valleys. 0:03:15.040,0:03:19.640 They are due to trenchant dependancies 0:03:19.640,0:03:23.152 such that a loss is followed by a loss 0:03:23.152,0:03:26.115 which is followed by a loss which is followed by a loss. 0:03:26.115,0:03:29.226 These kinds of dependencies 0:03:29.226,0:03:34.838 are largely missed by standard risk management tools, 0:03:34.838,0:03:37.767 which ignore them and see lizards 0:03:37.767,0:03:41.586 when they should see dragon-kings. 0:03:41.586,0:03:45.503 The root mechanism of a dragon-king 0:03:45.503,0:03:48.639 is a slow maturation towards instability, 0:03:48.639,0:03:50.261 which is the bubble, 0:03:50.261,0:03:52.891 and the climax of the bubble is often the crash. 0:03:52.891,0:03:56.516 This is similar to the slow heating of water 0:03:56.516,0:03:59.419 in this test tube reaching the boiling point, 0:03:59.419,0:04:01.909 where the instability of the water occurs 0:04:01.909,0:04:05.246 and you have the phase transition to vapor. 0:04:05.246,0:04:08.923 And this process, which is absolutely non-linear -- 0:04:08.923,0:04:11.203 cannot be predicted by standard techniques -- 0:04:11.203,0:04:15.379 is the reflection of a collective emergent behavior 0:04:15.379,0:04:17.758 which is fundamentally endogenous. 0:04:17.758,0:04:20.971 So the cause of the crash, the cause of the crisis 0:04:20.971,0:04:24.155 has to be found in an inner instability of the system, 0:04:24.155,0:04:30.191 and any tiny perturbation will make this instability occur. 0:04:30.191,0:04:33.891 Now, some of you may have come to the mind 0:04:33.891,0:04:36.516 that is this not related to the black swan concept 0:04:36.516,0:04:39.451 you have heard about frequently? 0:04:39.451,0:04:41.868 Remember, black swan is this rare bird 0:04:41.868,0:04:45.277 that you see once and suddenly shattered your belief 0:04:45.277,0:04:47.751 that all swans should be white, 0:04:47.751,0:04:51.295 so it has captured the idea of unpredictability, 0:04:51.295,0:04:52.804 unknowability, that the extreme events 0:04:52.804,0:04:55.635 are fundamentally unknowable. 0:04:55.635,0:04:57.360 Nothing can be further 0:04:57.360,0:04:59.998 from the dragon-king concept I propose, 0:04:59.998,0:05:03.716 which is exactly the opposite, that most extreme events 0:05:03.716,0:05:06.939 are actually knowable and predictable. 0:05:06.939,0:05:10.444 So we can be empowered and take responsibility 0:05:10.444,0:05:12.663 and make predictions about them. 0:05:12.663,0:05:15.863 So let's have my dragon-king burn this black swan concept. 0:05:15.863,0:05:17.489 (Laughter) 0:05:17.489,0:05:20.429 There are many early warning signals 0:05:20.429,0:05:22.308 that are predicted by this theory. 0:05:22.308,0:05:24.675 Let me just focus on one of them: 0:05:24.675,0:05:27.827 the super-exponential growth with positive feedback. 0:05:27.827,0:05:28.987 What does it mean? 0:05:28.987,0:05:31.160 Imagine you have an investment 0:05:31.160,0:05:34.314 that returns the first year five percent, 0:05:34.314,0:05:37.469 the second year 10 percent, the third year 20 percent, 0:05:37.469,0:05:40.011 the next year 40 percent. Is that not marvelous? 0:05:40.011,0:05:43.409 This is a super-exponential growth. 0:05:43.409,0:05:45.346 A standard exponential growth corresponds 0:05:45.346,0:05:49.090 to a constant growth rate, let's say, of 10 percent 0:05:49.090,0:05:52.571 The point is that, many times during bubbles, 0:05:52.571,0:05:56.168 there are positive feedbacks which can be of many times, 0:05:56.168,0:05:59.867 such that previous growths enhance, 0:05:59.867,0:06:03.355 push forward, increase the next growth 0:06:03.355,0:06:05.857 through this kind of super-exponential growth, 0:06:05.857,0:06:08.971 which is very trenchant, not sustainable. 0:06:08.971,0:06:12.028 And the key idea is that the mathematical solution 0:06:12.028,0:06:15.666 of this class of models exhibit finite-time singularities, 0:06:15.666,0:06:19.019 which means that there is a critical time 0:06:19.019,0:06:22.223 where the system will break, will change regime. 0:06:22.223,0:06:25.499 It may be a crash. It may be just a plateau, something else. 0:06:25.499,0:06:27.766 And the key idea is that the critical time, 0:06:27.766,0:06:30.295 the information about the critical time is contained 0:06:30.295,0:06:35.779 in the early development of this super-exponential growth. 0:06:35.779,0:06:40.139 We have applied this theory early on, that was our first success, 0:06:40.139,0:06:43.698 to the diagnostic of the rupture of key elements 0:06:43.698,0:06:46.227 on the iron rocket. 0:06:46.227,0:06:49.049 Using acoustic emission, you know, this little noise 0:06:49.049,0:06:51.346 that you hear a structure emit, sing to you 0:06:51.346,0:06:55.037 when they are stressed, and reveal the damage going on, 0:06:55.037,0:06:57.477 there's a collective phenomenon of positive feedback, 0:06:57.477,0:06:59.174 the more damage gives the more damage, 0:06:59.174,0:07:01.649 so you can actually predict, 0:07:01.649,0:07:03.789 within, of course, a probability band, 0:07:03.789,0:07:05.702 when the rupture will occur. 0:07:05.702,0:07:08.137 So this is now so successful that it is used 0:07:08.137,0:07:12.502 in the initial phase of [unclear] the flight. 0:07:12.502,0:07:15.309 Perhaps more surprisingly, the same type of theory 0:07:15.309,0:07:18.037 applies to biology and medicine, 0:07:18.037,0:07:21.733 parturition, the act of giving birth, epileptic seizures. 0:07:21.733,0:07:25.357 From seven months of pregnancy, a mother 0:07:25.357,0:07:31.021 starts to feel episodic precursory contractions of the uterus 0:07:31.021,0:07:35.125 that are the sign of these maturations 0:07:35.125,0:07:38.549 toward the instability, giving birth to the baby, 0:07:38.549,0:07:40.920 the dragon-king. 0:07:40.920,0:07:43.526 So if you measure the precursor signal, 0:07:43.526,0:07:49.751 you can actually identify pre- and post-maturity problems 0:07:49.751,0:07:51.222 in advance. 0:07:51.222,0:07:54.982 Epileptic seizures also come in a large variety of size, 0:07:54.982,0:07:58.262 and when the brain goes to a super-critical state, 0:07:58.262,0:08:01.835 you have dragon-kings which have a degree of predictability 0:08:01.835,0:08:07.342 and this can help the patient to deal with this illness. 0:08:07.342,0:08:09.527 We have applied this theory to many systems, 0:08:09.527,0:08:12.382 landslides, glacier collapse, 0:08:12.382,0:08:15.949 even to the dynamics of prediction of success: 0:08:15.949,0:08:20.335 blockbusters, YouTube videos, movies, and so on. 0:08:20.335,0:08:23.471 But perhaps the most important application 0:08:23.471,0:08:25.837 is for finance, and this theory 0:08:25.837,0:08:29.276 illuminates, I believe, the deep reason 0:08:29.276,0:08:31.972 for the financial crisis that we have gone through. 0:08:31.972,0:08:36.020 This is rooted in 30 years of history of bubbles, 0:08:36.020,0:08:39.732 starting in 1980, with the global bubble 0:08:39.732,0:08:41.819 crashing in 1987, 0:08:41.819,0:08:44.188 followed by many other bubbles. 0:08:44.188,0:08:46.900 The biggest one was the "new economy" Internet bubble 0:08:46.900,0:08:48.825 in 2000, crashing in 2000, 0:08:48.825,0:08:50.873 the real estate bubbles in many countries, 0:08:50.873,0:08:53.653 financial derivative bubbles everywhere, 0:08:53.653,0:08:55.942 stock market bubbles also everywhere, 0:08:55.942,0:08:59.893 commodity and all bubbles, debt and credit bubbles -- 0:08:59.893,0:09:02.606 bubbles, bubbles, bubbles. 0:09:02.606,0:09:05.245 We had a global bubble. 0:09:05.245,0:09:09.486 This is a measure of global overvaluation 0:09:09.486,0:09:13.492 of all markets, expressing what I call 0:09:13.508,0:09:16.677 an illusion of a perpetual money machine 0:09:16.677,0:09:20.629 that suddenly broke in 2007. 0:09:20.629,0:09:24.863 The problem is that we see the same process, 0:09:24.863,0:09:27.594 in particular through quantitative easing, 0:09:27.594,0:09:30.778 of a thinking of a perpetual money machine nowadays 0:09:30.778,0:09:35.181 to tackle the crisis since 2008 in the U.S., in Europe, 0:09:35.181,0:09:37.469 in Japan. 0:09:37.469,0:09:39.859 This has very important implications 0:09:39.859,0:09:43.937 to understand the failure of quantitative easing 0:09:43.937,0:09:45.813 as well as austerity measures 0:09:45.813,0:09:48.622 as long as we don't attack the core, 0:09:48.622,0:09:53.813 the structural cause of this perpetual money machine thinking. 0:09:53.813,0:09:56.429 Now, these are big claims. 0:09:56.429,0:09:59.311 Why would you believe me? 0:09:59.311,0:10:02.191 Well, perhaps because, in the last 15 years 0:10:02.191,0:10:05.383 we have come out of our ivory tower, 0:10:05.383,0:10:08.119 and started to publish ex ante -- 0:10:08.119,0:10:11.447 and I stress the term ex ante, it means "in advance" — 0:10:11.447,0:10:13.585 before the crash confirmed 0:10:13.585,0:10:16.271 the existence of the bubble or the financial excesses. 0:10:16.271,0:10:19.993 These are a few of the major bubbles 0:10:19.993,0:10:24.471 that we have lived through in recent history. 0:10:24.471,0:10:27.311 Again, many interesting stories for each of them. 0:10:27.311,0:10:30.025 Let me tell you just one or two stories 0:10:30.025,0:10:32.071 that deal with massive bubbles. 0:10:32.071,0:10:34.407 We all know the Chinese miracle. 0:10:34.407,0:10:37.477 This is the expression of the stock market 0:10:37.477,0:10:40.357 of a massive bubble, a factor of three, 0:10:40.357,0:10:42.527 300 percent in just a few years. 0:10:42.527,0:10:45.729 In September 2007, 0:10:45.729,0:10:49.376 I was invited as a keynote speaker of a macro hedge fund 0:10:49.376,0:10:51.825 management conference, 0:10:51.825,0:10:55.880 and I showed to the conference a prediction 0:10:55.880,0:11:00.073 that by the end of 2007, this bubble 0:11:00.073,0:11:02.042 would change regime. 0:11:02.042,0:11:05.127 There might be a crash. Certainly not sustainable. 0:11:05.127,0:11:10.369 Now, how do you believe the very smart, 0:11:10.369,0:11:15.799 very motivated, very informed macro hedge fund managers 0:11:15.799,0:11:17.755 reacted to this prediction? 0:11:17.755,0:11:19.711 You know, they had made billions 0:11:19.711,0:11:22.546 just surfing this bubble until now. 0:11:22.546,0:11:24.130 They told me, "Didier, 0:11:24.130,0:11:27.167 yeah, the market might be overvalued, 0:11:27.167,0:11:29.063 but you forget something. 0:11:29.063,0:11:31.415 There is the Beijing Olympic Games coming 0:11:31.415,0:11:33.679 in August 2008, and it's very clear that 0:11:33.679,0:11:36.871 the Chinese government is controlling the economy 0:11:36.871,0:11:38.224 and doing what it takes 0:11:38.224,0:11:42.671 to also avoid any wave and control the stock market." 0:11:42.671,0:11:45.142 Three weeks after my presentation, 0:11:45.142,0:11:47.268 the markets lost 20 percent 0:11:47.268,0:11:49.529 and went through a phase of volatility, 0:11:49.529,0:11:52.255 upheaval, and a total market loss of 0:11:52.255,0:11:54.523 70 percent until the end of the year. 0:11:54.523,0:11:57.399 So how can we be so collectively wrong 0:11:57.399,0:12:01.541 by misreading or ignoring the science 0:12:01.541,0:12:04.372 of the fact that when an instability has developed, 0:12:04.372,0:12:06.823 and the system is ripe, any perturbation 0:12:06.823,0:12:10.504 makes it essentially impossible to control? 0:12:10.504,0:12:15.209 The Chinese market collapsed, but it rebounded. 0:12:15.209,0:12:19.965 In 2009, we also identified that this new bubble, 0:12:19.965,0:12:22.551 a smaller one, was unsustainable, 0:12:22.551,0:12:26.183 so we published again a prediction, in advance, 0:12:26.183,0:12:30.510 stating that by August 2009, the market will correct, 0:12:30.510,0:12:33.191 will not continue on this track. 0:12:33.191,0:12:36.343 Our critics, reading the prediction, 0:12:36.343,0:12:40.256 said, "No, it's not possible. 0:12:40.256,0:12:41.750 The Chinese government is there. 0:12:41.750,0:12:44.432 They have learned their lesson. They will control. 0:12:44.432,0:12:46.239 They want to benefit from the growth." 0:12:46.239,0:12:49.895 Perhaps these critics have not learned their lesson previously. 0:12:49.895,0:12:53.727 So the crisis did occur. The market corrected. 0:12:53.727,0:12:56.063 The same critics then said, "Ah, yes, 0:12:56.063,0:12:57.912 but you published your prediction. 0:12:57.912,0:12:59.568 You influenced the market. 0:12:59.568,0:13:02.701 It was not a prediction." 0:13:02.701,0:13:06.058 Maybe I am very powerful then. 0:13:06.058,0:13:08.102 Now, this is interesting. 0:13:08.102,0:13:11.039 It shows that it's essentially impossible until now 0:13:11.039,0:13:13.167 to develop a science of economics 0:13:13.167,0:13:16.310 because we are sentient beings who anticipate 0:13:16.310,0:13:20.373 and there is a problem of self-fulfilling prophesies. 0:13:20.373,0:13:24.106 So we invented a new way of doing science. 0:13:24.106,0:13:26.818 We created the Financial Bubble Experiment. 0:13:26.818,0:13:29.490 The idea is the following. We monitor the markets. 0:13:29.490,0:13:33.658 We identify excesses, bubbles. 0:13:33.658,0:13:36.962 We do our work. We write a report 0:13:36.962,0:13:41.234 in which we put our prediction of the critical time. 0:13:41.234,0:13:43.809 We don't release the report. It's kept secret. 0:13:43.809,0:13:46.674 But with modern encrypting techniques, 0:13:46.674,0:13:50.696 we have a hash, we publish a public key, 0:13:50.696,0:13:54.651 and six months later, we release the report, 0:13:54.651,0:13:57.050 and there is authentication. 0:13:57.050,0:14:01.818 And all this is done on an international archive 0:14:01.818,0:14:06.018 so that we cannot be accused of just releasing the successes. 0:14:06.018,0:14:09.410 Let me tease you with a very recent analysis. 0:14:09.410,0:14:12.668 17th of May, 2013, just two weeks ago, 0:14:12.668,0:14:14.346 we identified that the U.S. stock market 0:14:14.346,0:14:16.738 was on an unsustainable path 0:14:16.738,0:14:20.540 and we released this on our website on the 21st of May 0:14:20.540,0:14:22.585 that there will be a change of regime. 0:14:22.585,0:14:27.369 The next day, the market started to change regime, course. 0:14:27.369,0:14:28.860 This is not a crash. 0:14:28.860,0:14:31.459 This is just the third or fourth act 0:14:31.459,0:14:34.322 of a massive bubble in the making. 0:14:34.322,0:14:37.418 Scaling up the discussion at the size of the planet, 0:14:37.418,0:14:38.443 we see the same thing. 0:14:38.443,0:14:41.364 Wherever we look, it's observable: 0:14:41.364,0:14:44.594 in the biosphere, in the atmosphere, in the ocean, 0:14:44.594,0:14:48.498 showing these super-exponential trajectories 0:14:48.498,0:14:51.129 characterizing an unsustainable path 0:14:51.129,0:14:53.746 and announcing a phase transition. 0:14:53.746,0:14:55.450 This diagram on the right 0:14:55.450,0:14:58.450 shows a very beautiful compilation of studies 0:14:58.450,0:15:02.160 suggesting indeed that there is a nonlinear -- possibility 0:15:02.160,0:15:06.309 for a nonlinear transition just in the next few decades. 0:15:06.309,0:15:09.931 So there are bubbles everywhere. 0:15:09.931,0:15:11.895 From one side, this is exciting 0:15:11.895,0:15:14.655 for me, as a professor who chases bubbles 0:15:14.655,0:15:19.413 and slays dragons, as the media has sometimes called me. 0:15:19.413,0:15:22.464 But can we really slay the dragons? 0:15:22.464,0:15:24.608 Very recently, with collaborators, 0:15:24.608,0:15:27.311 we studied a dynamical system 0:15:27.311,0:15:30.215 where you see the dragon-king as these big loops 0:15:30.215,0:15:34.136 and we were able to apply tiny perturbations at the right times 0:15:34.136,0:15:39.071 that removed, when control is on, these dragons. 0:15:39.071,0:15:42.005 "Gouverner, c'est prévoir." 0:15:42.005,0:15:47.799 Governing is the art of planning and predicting. 0:15:47.799,0:15:50.552 But is it not the case that this is probably 0:15:50.552,0:15:54.452 one of the biggest gaps of mankind, 0:15:54.452,0:15:57.712 which has the responsibility to steer 0:15:57.712,0:16:00.415 our societies and our planet toward sustainability 0:16:00.428,0:16:05.272 in the face of growing challenges and crises? 0:16:05.272,0:16:09.767 But the dragon-king theory gives hope. 0:16:09.767,0:16:13.335 We learn that most systems have pockets of predictability. 0:16:13.335,0:16:18.235 It is possible to develop advance diagnostics of crises 0:16:18.235,0:16:21.794 so that we can be prepared, we can take measures, 0:16:21.794,0:16:24.549 we can take responsibility, 0:16:24.549,0:16:27.296 and so that never again will 0:16:27.296,0:16:31.150 extremes and crises like the Great Recession 0:16:31.150,0:16:35.560 or the European crisis take us by surprise. 0:16:35.560,0:16:37.035 Thank you. 0:16:37.035,0:16:43.328 (Applause)