Annual Returns





Kerry Back

Annual SPY returns

SPY = S&P 500 Exchange Traded Fund (ETF)


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Compounded SPY returns


value of $1 investment with dividends reinvested

Compounded returns on log scale: motivation

  • Let’s look at accumulations from two hypothetical stocks.
    • stock 1: 10% per year
    • stock 1: 2% per year until 2000 and 10% afterwards
  • It will appear that stock 2 did nothing before 2000 and earned a lot less than stock 1 even after 2000.

Plot of the Example

Log (base 10) of accumulation

Map \(y\) tick labels to dollars

Compounded SPY returns on log scale


value of $1 investment with dividends reinvested

Box Plot

  • Box contains 25th percentile through 75th percentile.

  • Median is indicated as a line in the box.

  • Fences extend 1.5 times inter-quartile range from 25th and 75th percentiles or to the most extreme observation if that is closer to the box.

    • inter-quartile range = 75th minus 25th percentile
  • Points outside the fences are outliers.

    • If you simulate data from a normal distribution, there will typically be very few points outside the fences.

Box and density plots of annual SPY returns

Normal distribution has same mean and std dev as actual.
x-axis range is minimum to maximum return.

Autocorrelations

  • Autocorrelation is the correlation of a time series with its own lagged values.
  • Autocorrelation at lag 1 tells us whether the current value predicts the next one.
  • For monthly data, autocorrelation might be high at lag 12 (seasonality).

Autocorrelations of annual SPY returns

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Does last year’s return predict this year’s?

No, the autocorrelation is almost zero.