http://www.complexeconomics.org/ - PowerPoint PPT Presentation

1 / 51
About This Presentation
Title:

http://www.complexeconomics.org/

Description:

Possible microfoundations in financial markets and industrial organization not in labor or producer ... fractal Brownian motion ... Gell-mann (complex adaptive ... – PowerPoint PPT presentation

Number of Views:67
Avg rating:3.0/5.0
Slides: 52
Provided by: pch120
Category:

less

Transcript and Presenter's Notes

Title: http://www.complexeconomics.org/


1
?????????
  • ??
  • ??????????? ????
  • ???????????? ?????
  • http//www.complexeconomics.org/
  • pchen_at_nsd.pku.edu.cn
  • ????????? ??
  • 2013?11?21?

2
?????????
  • ???????? (Auguste Comte, 1798-1857 ) social
    physics ?????????(1856)?
  • ?????????????????,????????(?????)????????(2012
    ???????),??? Ilya Prigogine ??,??????????(1987
    )???????????????(1989,?? 2004)
  • ????????????H. Eugene Stanley (1995)?power law
    ?????????????? econophysics,???????,??????????

3
?????????????????
  • ?????????????(Daniel Bernoulli
    1700-1782)gambling and utility function(1738)
  • John von Neumann (1903-1957 ) game theory,
    growth model
  • Ilya Prigogine (1917-2003) Brussletor gt BZ
    reactiongt dissipative structure, chemical
    reaction and population dynamics,
    self-organization(1971, 1977), complex systems
    (1987)
  • Hermann Haken (1927- ) synergetics (1973),
    adiabatic approximation, laser gt Hamiltonian
    system
  • Wolfgan Weidlich (1931- ) Ising model for
    public opinion, social dynamics
  • Santa Fe Institute (SFI, 1984-), Philip Anderson
    (spin glass model), Murray Gell-mann (complex
    adaptive system), edge of chaos, artificial
    life,automata system,interacting agents

4
?????????
  • ????(???,???,???,??,???,????)?????????????????
  • (1)????????????????????
  • (2)??????????????????????????
  • (3)????????????,???????????-????-?????
  • ??????????????????

5
???????????????????-??????
  • ???????????????????
  • ??????????????????????
  •  
  • ??????????????? - - FD vs. HP (von Neumann)
    filter
  • ????????? Louis Bachelier (1900) ?Brownian motion
    ?? Schumpeter?????
  • ????????????(???????)
  •  

6
?????????????????vs. ??(???)??
  • ???????????
  • ???,???,? wavelets
  • Wigner transform, Gabor wavelet, and logistic
    wavelet
  • ???? (business cycles) ????????????????
  • Frisch model of noise driven harmonic cycles
    (1933), Harmonically bounded Brownian motion
    (Unlenbeck Orstein 1930, Unlenbeck Wang ???
    1945)

7
??????????
8
Math Representation in Frequency Domain
  • Fourier spectrum E(f) for color cycle and white
    noise

9
Spectrum E(f) of Harmonic Wave, White Noise, and
Color Noise (Chaos)
  • Wave Noise

10
Stationary (Discrete Fourier Transform)
vs.Non-Stationary (Joint-Time-Frequency
Analysis)Time Series Analysis ???,???(1994)
11
SP500 Stock Price Index FSPCOM with log-linear
(LL) and HP growth trends
12
Detrended cycles with varying lengths
13
Different images of auto-correlations
14
Uncertainty Principle in Signal Processing
15
Gabor (Gaussian) Wavelet with Minimum Uncertainty
16
Gabor Space (1946) in discrete time-frequency
space
  • Minimum uncertainty in time-frequency space
  • Un-orthogonal base function

17
The Coherent State (Gaussian Packet, Gabor
Wavelet)The Uncertainty Principle in Quantum
Mechanics Information Theory
18
Separating noise and signal in Gabor space
  • Time section in Gabor space (signal peak is far
    above the noise level)
  • Time-dependent band filter in time-frequency space

19
Separating signals and noise in Gabor
(time-frequency) space
20
Phase portraits of HP cyclesWhite noise vs.
color chaos
21
Stock Price Indexes (Standard Poor
500)correlation dimension of color chaos in
2.5variance of color chaos 69
22
Structural instability of linear dynamical models
23
Structural Stability (Resilience) and Regime
Switch in Nonlinear Dynamics
24
Linear Demand-Supply Curves gt Unique Equilibrium
???????????????
25
??????????????
  • ????????????????
  • ??????
  • Frisch ?????????(1933)
  • Friedman ?????Lucas ????????????(RBC)??Bernank
    e ???????
  • ?????????????????????(???)??

26
??????? ???? ????????????????
27
Noise-Driven Cycles( Frisch 1933)vs. Harmonic
Brownian Motion(Unlenbeck Orstein, 1930)
  • Wang ??? Unlenbeck (1945)
  • Frisch model for American business cycles,which
    would be damped in 5-20 years(Chen 1999,2004)!

28
Frisch modelPerpetual Motion Machine of Second
Type?
  • Frisch was not the FIRST G.E.Uhlenbeck and L.S.
    Ornstein, "On the Theory of Brownian Motion,"
    Physical Review, 36(3), 823-841 (1930).
  • Frischs Informal conference paper R. Frisch,
    Propagation Problems and Impulse Problems in
    Dynamic Economics, in Economic Essays in Honour
    of Gustav Cassel, George Allen Unwin, London
    (1933).
  • Frisch's promised paper, "Changing harmonics
    studied from the point of view of linear
    operators and erratic shocks," was advertised
    three times under the category "papers to appear
    in early issues" in Econometrica, including Issue
    No. 2, 3, and 4 of Volume I (April, July, and
    October 1933) but never appeared in Econometrica
    since 1934.
  • Frisch never mentioned a word about his
    prize-winning model in his Nobel speech in 1969
    (Frisch 1981).

29
Equilibrium Illusion through First-Differencing
(High Frequency Noise Amplifier Whitening
Filter) in Econometric Analysis????????????????
???
  • Frequency response for the FD filter
  • X(t) FDS(t)S(t1)-S(t)

30
????????
  • ?????????????
  • ??,??,???????????????????(Lotka-Volterra ??)
  • ???????? ???????????????(????)??????(??????????
    ?)
  • ??????-??(?????)-?????

31
??????????????(????)?????????
  • Principle of Large Numbers
  • ?????????????????? (resilience) ?
  • ???????????????????
  • relative deviation (RD) ?birth and death process
  •  

32
Principle of Large Numbers for Positive Variables
  • SNX1X2 . . . . . . XN
  • Observed relative deviation of US real GDP is 20
    times larger than Lucas model(Chen 2002)!

33
Relative Deviation (RD) and the Implied Number
(N) from Empirical Observation
  • Relative deviation
  • Implied number

34
Large Numbers in US Economy
35
Weak microfoundations in labor and producer
market
  • The observed implied numbers predicted by the
    Lucas model is 400 500 times smaller (RD is 20
    times larger ) than in US real economy.
  • Possible microfoundations
  • in financial markets and industrial organization
  • not in labor or producer market
  • Implication gt
  • Three layer structure (micro, meso, macro)
  • rather than two layer structure (micro, macro)
  • in economies

36
Implications from the Failure of Lucas Model of
Microfoundations
  • Roots of persistent business cycles
  • Financial intermediates and industrial
    organization
  • From two layer model (micro-macro) gt
  • Three layer model (micro-meso-macro)
  • Nature of macro fluctuations gt social movements

37
Stable RD in US Macro Indexesobserved under HP
filter
38
RD Behavior for Stochastic Models
  • Random walk is damping over time
  • Brownian motion is exploding over time
  • Only the Birth-death process is stable in time,
    which is a statistical model of endogenous
    fluctuations

39
Economic diagnosis
40
?????????????????????
  • ?????????
  • Fat tail distribution (Levy, fractal Brownian
    motion, power law),
  • regime switch between calm and turbulent market
  • ???,????????,??????????
  •  

41
Linear (BS) Empirical (SP 500) Transition
Probability in Birth-Death Process from SP data
(Tang Chen 2010)
42
Higher Moment Deviations (System Risk) during
Crisis (4-5th Moments are 1000 times larger than
2nd Moment gt Failure of Portforlio
Diversification)
43
Source of Financial InstabilityNonlinear Trend
Higher Moments in Birth-Death Process
  • Option pricing model based on nonlinear
    birth-death process
  • Stability condition
  • Under stability finite first second moment
    Ito construct arbitrage portfolio
    Black-Scholes model

44
Corrections of Option Pricing Model for
Interacting Trend Diffusion
  • No such thing as risk-free interest rate gt only
    exist moving trend in interest rate
  • Multiple frequency co-exist in financial market gt
    interacting between market trend group players
    gt complex dynamics

45
??????,??????,????????
  • ?????, Wallerstein paradox, ?????????
  • Lotka-Volterra model with culture factor
  • Logistic wavelets ?????????
  • ????????trade-off ???????????
  • ?????????????????????????????

46
Metabolic Growth (Life Cycles)
???????????????????
47
Physics Foundation of Biology
  • Schrödinger (1948) What is life? (Quantum
    biology)
  • Large molecule, meta-stable state, non-periodic
    structure, information as negative entropy
  • Prigogine (1972) Thermodynamics of evolution
  • Dissipative structure with matter flow, energy
    flow, and information flow in open system
  • Constructive role of positive feedback (catalytic
    reaction)
  • Self-organization (order out of chaos)

48
????????????Haken vs. Prigogine
  • Haken synergetics ???
  • Laser Hamiltonian system
  • Adiabetic approximation gt take out slow variables
    (language)
  • Prigogine dissipative systems no potential
    function slef-organization ???
  • Chemical reaction population dynamics
    nonlinear evolutionary dynamics nonlinear
    economic dynamics

49
???????????
  • ??????????????
  • ????????????
  • ?????????? ???????,
  • ???????????????? ????????,GDP ???????

50
References
  • ??, ????, ????, ????????, ??????? (2004).
  • Chen, Ping. Economic Complexity and Equilibrium
    Illusion, Routledge, London (2010).

51
Readings in Complexity Science
  • Wienner, N. Cybernetics or Control and
    Communication in the Animal and the Machine, MIT
    Press, MA Cambridge (1948).
  • Schrödinger, E. What is Life? Cambridge
    University Press, Cambridge (1948).
  • Prigogine, I. From Being to Becoming Time and
    Complexity in the Physical Sciences, Freeman, San
    Francisco (1980).
  • May, R. M., Stability and Complexity in Model
    Ecosystem, Princeton University Press, Princeton
    (1974).
Write a Comment
User Comments (0)
About PowerShow.com