Synthetic Straddle via Leveraged ETF's

Discussion in 'Options' started by TheBigShort, Mar 6, 2020.

  1. TheBigShort

    TheBigShort

    I am exploring leveraged/inverse ETF's and came across a paper on how the leverage + daily rebalancing effect works. https://www.math.nyu.edu/faculty/avellane/LeveragedETF20090515.pdf.

    I have a math question I need some help on. It's how to distinguish the break evens for a long L(everaged)ETF vs a short LETF.

    For a portfolio where I am long a 3x LETF and short 3*regular ETF. My break-even over a 21 day(one month) period would be:

    St/S0 = exp(sigmaS^2*(21/252))*(1+/- sqrt(1-exp(-sigmaS^2*(21/252))

    Where S is the non-levered ETF.

    However, I am really confused about the portfolio where we are long a single 2x inverse ETF and long 2x regular etf. The author of the above paper states it as:
    etf.PNG
    Where Vt is
    Capture.PNG
    I am not too sure why we are finding the roots of the cubic equation.
    I would like to understand the math here rather than plug it into a calculator (starting from bottom-up).

    Thanks for your time
     
  2. You got it: the idea is to compare two portfolios.
    First one: one dollar invested in a 2x inverse ETF
    Second one: two dollars invested in the regular ETF
    Over a period of time which one is the better?
    The values for which the first portfolio equals the second portfolio are the solutions of equation (15). X+ and X- are the positive roots.
    If X > X+ or X < X- it is better to have invested in the first portfolio.
    If X is inside ]X-, X+[ it is better to have invested in the second portfolio.
     
    Last edited: Mar 6, 2020
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