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Statistical Physics Approaches to Financial Fluctuations

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'Scaling and Memory of Intraday Volatility Return Intervals in Stock Markets', Phys. ... Stock GE. Result #3: Conditional PDF. How to Measure Long-Term Correlation? ... – PowerPoint PPT presentation

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Title: Statistical Physics Approaches to Financial Fluctuations


1
Statistical Physics Approaches to Financial
Fluctuations
  • Fengzhong Wang
  • Advisor H. Eugene Stanley
  • Dec 13, 2007

Collaborators Philipp Weber, Woo-Sung Jung,
Irena Vodenska, Kazuko Yamasaki and Shlomo Havlin
  • Scaling and Memory of Intraday Volatility
    Return Intervals in Stock Markets,
  • Phys. Rev. E 73, 026117 (2006).
  • Statistical Regularities in the Return
    Intervals of Volatility,
  • Eur. Phys. J. B 55, 123 (2007).

2
Outline
  • Questions
  • What are financial fluctuations?
  • Why we study?
  • Databases
  • Results
  • Scaling
  • Memory
  • Long-term correlations
  • Take home message

3
What are financial fluctuations?
Ex Stock Price and Shares Traded
Why study financial fluctuations?
  • Help understand markets and control risk

4
Databases Analyzed
  • DAILY DATA
  • U.S.A. Stocks, 1962-2007, total107 records?
  • Foreign Exchange Rates, 1971-2007, total105
    records?
  • Crude Oil Futures, 1985-2007, total104 records?
  • INTRADAY DATA
  • Trades And Quotes 2001-2002, every U.S.A.
    transactions, total109 records?
  • ?30 stocks Dow Jones Industrial Average (DJIA),
  • sampling interval1 min, total107 records
  • SP 500 Index 1984-1996, total105 records,
  • sampling interval10 min

?from Yahoo Finance ?from Federal Reserve ?from
Energy Information Administration ?from New York
Stock Exchange.
5
How to Calculate Volatility?
  • Step 1 Compute price change log(p(t1)/p(t))

Step 2 Remove intraday pattern by dividing A(s)
Step 3 Normalize by standard deviation
6
Our Approach Return Intervals ?q of Volatility
Step 1 CHOOSE a threshold q
Step 2 Calculate all time intervals between
volatilities above q
?q3
?q2
7
Result 1 Scaling in Return Intervals
8
Result 2 Universality
B) w.r.t. Stock Names
A) w.r.t. Sampling Intervals
9
How to Analyze Memory?
Divide return intervals into 8 subsets S1, S2,
, S8
S8
Stock GE
S1
10
Result 3 Conditional PDF
11
How to Measure Long-Term Correlation?Method
Detrended Fluctuation Analysis
d
12
Result 4 Detrended Fluctuation Analysis
Surprise Return interval correlations
?Volatility correlations
13
Result 5 Universality in Correlations
14
Take Home Message
  • Return intervals scale.
  • Scaling is universal for many markets and many
    time scales.
  • Return intervals show memory.
  • Scaling and memory are related to long-term
    correlations in volatility.
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