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Behavioral Forecasting

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Fundamentalists: Trade on belief in intrinsic value of asset ... Bounded Rationality: Agents cannot assimilate all the information in a market, ... – PowerPoint PPT presentation

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Title: Behavioral Forecasting


1
Behavioral Forecasting
  • MSE 444 Final Presentation
  • Rachit Prasad, Sudeep Tandon, Puneet Chhabra,
    Harshit Singh
  • Stanford University

2
Motivation
  • Division of Investor Classes
  • Fundamentalists Trade on belief in intrinsic
    value of asset
  • Chartists Trade on current market trend, and use
    knowledge of previous movement of prices
  • Assumptions
  • Bounded Rationality Agents cannot assimilate all
    the information in a market, so perfect foresight
    may not hold
  • Prediction Based on heuristic techniques
  • Fundamentalist Mean
    reversion to intrinsic value
  • Chartist
    Extrapolation of historical prices

3
Agent Prediction Model
  • Fundamentalists
  • Ef(?t,t1S) -? (St St)
  • St Asset price at time t
  • ? Mean-reversion coefficient
  • St Fundamental price at time t
  • Chartists
  • Ec(?t,t1S) a0 b0t S2i1aisin(bit ci)
  • ai, bi, ci constants found by fitting across a
    window of past asset prices

4
Fundamentalist Prediction
5
Chartist Prediction
6
Agents Predictions
7
Market Prediction Model
  • wf fundamentalists / investors
  • wc chartists / investors
  • wf exp(?Pf)/ exp(?Pf) exp(?Pc)
  • Pf Risk-adjusted profitability (over
    training period)
  • ? Learning rate parameter
  • Pf ?Pf - µsf
  • µ Risk aversion parameter
  • sf Volatility of profits
  • E(?t,t1S) wf Ef(?t,t1S) wcEc(?t,t1S)

8
Model Prediction
Fitting Window
9
Dynamic Weight Adjustment
Fundamentalists Dominate
Chartists Dominate
10
Dependence on Learning Rate
11
Estimation of Model Parameters
  • Model parameters (?, ? , µ, S) change with
    feedback (profits)
  • The optimal parameters found by grid search and
    nonlinear optimization

12
USDJPY Exchange Rate
  • Window Length 15
  • Transaction Cost 0 01/02/1975 09/26/1979

13
Daily Returns USDJPY
  • 01/02/1975 11/15/1985

14
Cumulative Profit USDJPY
  • 01/02/1975 09/26/1979

15
Microsoft Stock
  • 04/28/1986 09/28/1989

16
Binary Model USDJPY
  • 09/05/2000 06/20/2002

17
Constant Parameters USDJPY
18
Conclusions
  • Hit-Rate of about 53 is observed across asset
    classes.
  • Profits generated are sufficient to overcome
    transaction costs.
  • In addition to the base model, various strategies
    were attempted. The binary model showed good
    promise.

19
  • Thank You !
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