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Heterogeneous Gain Learning and Long Swings in Asset Prices Blake LeBaron International Business School Brandeis University www.brandeis.edu/~blebaron Microfoundations for Modern Macroeconomics Center on Capitalism and Society Columbia University November, 2010

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  • Heterogeneous Gain Learning and Long Swings in Asset Prices

    Blake LeBaron!International Business School!

    Brandeis University!www.brandeis.edu/~blebaron!

    Microfoundations for Modern Macroeconomics

    Center on Capitalism and Society

    Columbia University

    November, 2010

  • Long Swings: 
S&P Price/Dividend Ratio!

  • Gain Parameters!

    ft = ft−1 + gj (xt − ft−1 )

  • Outline!

     Model!  Structure!  Time series!  Wealth distributions!

     Learning dynamics! Summary!

  • Connections!

     Adaptive learning! Agent-based markets!

  • Securities! Equity !

      Risky dividend (Weekly U.S. Data)!  Annual growth = 2%, std. = 12%!  Macro shock!

      Fixed supply (1 share)! Risk free!

      Infinite supply!  Constant interest: 0% per year!

  • Agents!

     Myopic CRRA,!

     Consumption!

     Budget!

    Equity fraction = α t ,i =Et ,i (rt+1 )− rf + (1 / 2)σ t ,i

    2

    γσ t ,i2 + t ,i

    Ct ,i = λWt ,i

    PtSt ,i + Bt ,i = (1− λ)(PtSt−1,i + Bt−1,i (1+ rf ))

    γ = 3.5

  • Forecast Families! Adaptive: !

      Adaptive expectations (log returns)! Fundamental:!

      Log(P/D) regressions!  Recursive least squares!

     Short AR (autogressive) !!  AR(3) on lagged returns!  Recursive least squares!

     Buy and hold!  Low gain return mean and variance estimates!

  • Forecast Families!

    Adaptive

    Low Gain

    High Gain

    Fundamental

    Low Gain

    High Gain

    Short AR

    Low Gain

    High Gain

    Buy and Hold

    Low Gain

    High Gain

  • Variance Forecasts
(Adaptive)!

    σ̂ t , j2 = σ̂ t−1, j

    2 + gj ,σ (et , j2 − σ̂ t−1, j

    2 )

    et , j2 = (rt − ft−1

    j )2

    gj ,σ = variance gain

  • Gain Levels
5 Discrete Values!

     Low Gain: 50-45 years! All Gain: 50-1 year!

    Discrete half-life: [50,18, 7,2.5,1] years

  • Forecast Selection!Agents

    Forecasts

  • Learning and Wealth!

     Active!  Recursive parameter estimation!  Active forecast rule selection!

     Passive!  Wealth moves to more successful

    strategies!

  • Low Gain (long memory)!

  • All Gain!

  • Price/Dividend Ratios!

  • Annual Return Regressions
R(t+1) on log(P/D(t))!

    Series! Coefficient! R-squared!All Gain! -0.41! 0.19!

    (0.03)!Low Gain! -0.01! 0.00!

    (0.05)!S&P ! -0.13! 0.03!

    (0.06)!

  • Weekly Return Density!

  • Weekly Return Autocorrelations!

  • Outline!

     Model!  Structure!  Time series!  Wealth distributions!

     Learning dynamics! Summary!

  • Wealth Time Series!

  • Return Gain Wealth Distributions!

  • Variance Gain Wealth Distributions!

  • Utility Surfaces
Annual Certainty Equivalent Returns!

  • Outline!

     Model!  Structure!  Time series!  Wealth distributions!

     Learning dynamics! Summary!

  • Fundamental Portfolio Strategies by Gain!

  • Variance Forecasts!

  • Variance versus Log(P/D)!

  • Variance Forecast Comparisons!

  • High Gain Only Experiment!

     Gain half-lives: [1-5] years!

  • High Gain Only!

  • Outline!

     Model!  Structure!  Time series!  Wealth distributions!

     Learning dynamics! Summary!

  • Empirical Features!

     Large and persistent fundamental deviations!

     Fat tailed return series! Persistent volatility! Low gain convergence!

  • Necessary Components!

     Multiple time scales! Risk and return! Active and passive learning!

  • Return Forecasts!

     P/D regressions do not time market well!  Difficult regressions, unstable learning!  Is 50 year half-life long enough?!

     Adaptive forecasts control large wealth share!

     Short AR behaves predictably!

  • Variance Forecasts!

     Forecast structure!  Time series features give short gain

    forecasts an edge!  Range of gains survive!

     Persistence in beliefs about risk!

  • Future!

     Other forecast rules?! Estimation/validation! Fat tails/robust filtering! Macro dynamics!

  • Extra Figures/tables!

     These tables may be useful for discussions!

  • Summary Statistics!Statistic S&P (1871-2008) All Gain Simulation Return mean (real) 7.9% 8.7% Return std. 0.17 0.25 P/E mean 15.3 15.2 P/E std. 6.0 4.2 P/E correlation (t,t+1) 0.68 0.64

  • Wealth over Utility Gain!

  • Forecast Comparisons!

  • Strategy Fractions!