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A Novel Method for Watch ing Economical Circulati ons Visualization of Economical Dat a via Mathematica Toshihiro Iwata *) [email protected] Kansai University *) T. Iwata, Scientific Analysis on Economic Fluctuation 2006 (Gakubunsha publ., in Japanese)

A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) [email protected]

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Page 1: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

A Novel Method for Watching Economical Circulations

Visualization of Economical Data via Mathe

matica

Toshihiro Iwata *)

[email protected]

Kansai University

*) T. Iwata,Scientific Analysis on Economic Fluctuation

2006 (Gakubunsha publ., in Japanese)

Page 2: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

  Points of view in this report

1 Regression analysis are ambiguous and not helpful  for chaotic phenomenon.

2 Chaotic analysis must be in positive approach essentially.

3 On two components of complexity and circulation( spectrum and moving slope) live together.

Page 3: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

By taking a moving slope in the stock, we can find out the regularity of the stock

fluctuation of above case.

• The moving slope is a useful tool in cases where it is difficult to find the points of change like the peak or bottom in the source data.

• This has the nature of possible subrogation to differential coefficients, and the next time instant can show in which direction and with how much force a movement is. The formula of moving slope Xt’ of the term 2P+1 is as follows.

• Xt=[ - PXt-p - ... - 2Xt-2 - 1Xt-1+1Xt+1+2Xt+2+...+PXt+p]    ÷ [P(P+1)(2P+1)/3]

• For example, the moving slope Xt’ of the term 5 can be expressed as the next formula.

• Xt=[ - 2Xt-2 - 1Xt-1+1Xt+1+2Xt+2] ÷10

Page 4: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

We consider the structure of the moving slope Xt’ of the term 5.

• Xt=[ - 2Xt-2 - 1Xt-1+1Xt+1+2Xt+2] ÷10                              ・

                         ・                   ・      1     2      3     4    5

                                ・

      ・                     ・  is the original data

t× (-2)

× (-1)

× (+1)

× (+2)

Now we stand t3.

Page 5: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

Every Stock Prices are Random When it shows regularities such as a cycle by time change of this

moving slope, the forecast to the quality near 1/f is better. The forecast that we can get by these two analyses are completely our original one.

(2000.1-2006.4 )

Stock Price of Sony 1983.1- 2006.5

0

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4,000

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1 15 29 43 57 71 85 99 113 127 141 155 169 183 197 211 225 239 253 267

month

Page 6: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

By making Fourier transformFourier transform,

Ex) Sony co.

Many frequencies inside

No specific dominant frequency inside …

NOTE

Fourier analysis

spectrum of sony stock prices

1.5

2

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3

3.5

4

4.5

5

5.5

6

- 3 - 2.5 - 2 - 1.5 - 1 - 0.5 0

frequency

pow

er(

log)

Page 7: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

By making moving slope analysis*moving slope analysis*,

Ex) Sony co.

Many frequencies make an collective circulation.

It is a complicated motion (but it is confined in “circulations”)

NOTE

Moving slope analysis

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Page 8: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

Limited motion

complexity

Unpredictable factor(Predictable-like)

Here, we can see two components …

circulation

Page 9: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

Model solution and x-y, y-z and x-z plot

y-z x-z x-y

We can find a thin film structure for x-z plot !!

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New York Dow

Page 10: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

y-z x-z x-y

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Average Stock Price of Japan

Page 11: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

3D-plot Gallery I3D-plot Gallery I

      

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Kojima

Page 12: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

y-z x-z x-y

3D-plot Gallery 3D-plot Gallery IIII

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Page 13: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

y-z x-z x-y

3D-plot Gallery III3D-plot Gallery III

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Hitachi Shipbuilding

Page 14: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

Behavior of Moving Slope RepeatedlyThe values become smaller step by step.

Original Data

Moving Slope at One Time

Moving Slope at One Time

Moving Slope at Two Time s

      Moving Slope at Two Time s

Moving Slope at Three Time s

Moving Slope at Three Time s

Moving Slope at Four Time s

ellipse

Page 15: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

Model solution and x-y, y-z and x-z plot

  f(x)    = A sin kx  f'(x)   = A k cos kx  f''(x)  = - A k2 sin kx  f'''(x) = - A k3 cos kx

0<k<1   , k is a fixed number and A is an amplitude.

We think next model function (at k1 < k2 < …< kn …< 1).

T(t) =  A1 sin ( k1 t - j1 ) + A2 sin ( k2 t - j2) …   + An sin ( kn t - jn)  …

So we can propose next general solution.

u(t) =  A1 sin ( k1 t - j1 ) + A2 sin ( k2 t - j2)  …+ An sin ( kn  t - jn) + …

jn   :   fixed

This solution is based on the fact that j component does not drastically depend on time.

NOTE

New York Dow

X- Z

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Page 16: A Novel Method for Watching Economical Circulations Visualization of Economical Data via Mathematica Toshihiro Iwata *) yamana@res.kutc.kansai-u.ac.jp

Summary & Perspective

The complicated evolution seems to be circulating in a limited finite box (it seems to have some rules). Our opinion is that such limited circulation and complexity are hig

hly correlated.

My new book : Scientific Analysis on Economic Fluctuation

2006 (in Japanese)

Than ks!