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Thread: Fred Renzey: Betting Over Your Max

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  1. #1
    Chucke
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    Chucke: Re: Betting Over Your Max

    > Having the huge advantage is always superior, and
    > Kelly- optimal wagers are designed to reflect both
    > edge AND the ratio of a winning bet to a losing one.

    > For example, you can get the exact same edge from
    > having a huge payoff (longshot) just a few times, or
    > from having a smaller one (favorite) but that pays off
    > much more frequently. The Kelly wager, and hence the
    > ultimate profits, are always bigger for the situation
    > in which you win more frequently, even though the
    > edges might be the same.

    > I understand that, here, the edges and the banks are
    > different, but the principle is similar.

    > Don

    Don - I've read your reply more then 25 times and I don't fully understand what you are saying. I'm sorry to be so thick. Are you saying that one would be better off not taking the opportunity (with a 26% edge) because it does not occur very frequently? That thought had crossed my mind. Should it be looked at like a one time prop bet? Sorry if I'm really off the mark here.

    Also, would you please explain what you mean when you say "...reflect both edge AND the ratio of a winning bet to a losing one." It's the ..AND the ratio of a winning bet to a losing one." part of the statement that I don't understand.

    Thanks for your help. I really appreciate your patience.
    Chucke

  2. #2
    Don Schlesinger
    Guest

    Don Schlesinger: Re: Betting Over Your Max

    > Don - I've read your reply more then 25 times and I
    > don't fully understand what you are saying. I'm sorry
    > to be so thick. Are you saying that one would be
    > better off not taking the opportunity (with a 26%
    > edge) because it does not occur very frequently? That
    > thought had crossed my mind. Should it be looked at
    > like a one time prop bet? Sorry if I'm really off the
    > mark here.

    Sorry. It isn't an obvious concept. No, I'm not saying not to make the bet, but what I'm saying is that there simply is a great deal of variance, since the edge is so heavily predicated on the ace's turning into a natural. So, when you have the opportunity -- and only once, on top of it all -- you have to realize that it's still a risky proposition.

    > Also, would you please explain what you mean when you
    > say "...reflect both edge AND the ratio of a
    > winning bet to a losing one." It's the ..AND the
    > ratio of a winning bet to a losing one." part of
    > the statement that I don't understand.

    You can create the SAME edge for a wager but with various scenarios that have different payoffs. For example, you may know that an optimal wager, f*, can be expressed as e/a, where e is your positive expected return, and a is the ratio of a winning payoff to a losing one. That, in essence, is the Kelly criterion. So now, consider the following four cases, ALL of which have precisely the same +20% expectation, and all of which lose $1 when we lose.

    1. Win $1.40 50% of the time; lose $1 50% of the time.
    f* = 0.2/1.4 = 0.143.

    2. Win $1 60% of the time; lose $1 40% of the time.
    f* = 0.2/1 = 0.20.

    3. Win $0.50 80% of the time; lose $1 20% of the time.
    f* = 0.2/.5 = 0.40.

    4. Win $5 20% of the time; lose $1 80% of the time.
    f* = 0.2/5 = 0.04.

    Now, for a FIXED bankroll, although all four cases return the same 20%, Case 3 permits one to wager, right from the outset, 40% of one's capital. In this case, the probability of losing even two bets in a row is just (.2)^2 = 0.04 (very small).

    On the other hand, despite the same 20% expectation, Case 4 permits initial wagers of just 4% of the bank, because we lose so frequently. Here, there is a greater than 25% chance [(0.8)^6 = 0.262] that we could lose SIX times in a row. Hence, the need to bet a much smaller fraction of the initial bank on each coup.

    Cases 1 and 2 represent intermediate positions, with Case 2 the special "even-money" payoff, where we wager our exact 20% edge each time.

    While none of the above is directly analogous to your original proposition, it does point out how "expectation isn't everything."

    Hope this helps a little.

    Don


  3. #3
    Chucke
    Guest

    Chucke: Re: Betting Over Your Max

    > Sorry. It isn't an obvious concept. No, I'm not saying
    > not to make the bet, but what I'm saying is that there
    > simply is a great deal of variance, since the edge is
    > so heavily predicated on the ace's turning into a
    > natural. So, when you have the opportunity -- and only
    > once, on top of it all -- you have to realize that
    > it's still a risky proposition.

    Yes, I now realize it is very risky. My initial reaction was to jump at the bet as the 26% edge seems so large as compared to the "normal" edges, even at very high counts, in BJ. When I thought about it, I realized it was much more of a gamble then a long term advantage play. I think I would still take the bet.

    > You can create the SAME edge for a wager but with
    > various scenarios that have different payoffs. For
    > example, you may know that an optimal wager, f*, can
    > be expressed as e/a, where e is your positive expected
    > return, and a is the ratio of a winning payoff to a
    > losing one. That, in essence, is the Kelly criterion.
    > So now, consider the following four cases, ALL of
    > which have precisely the same +20% expectation, and
    > all of which lose $1 when we lose.

    > 1. Win $1.40 50% of the time; lose $1 50% of the time.
    > f* = 0.2/1.4 = 0.143.

    > 2. Win $1 60% of the time; lose $1 40% of the time.
    > f* = 0.2/1 = 0.20.

    > 3. Win $0.50 80% of the time; lose $1 20% of the time.
    > f* = 0.2/.5 = 0.40.

    > 4. Win $5 20% of the time; lose $1 80% of the time.
    > f* = 0.2/5 = 0.04.

    > Now, for a FIXED bankroll, although all four cases
    > return the same 20%, Case 3 permits one to wager,
    > right from the outset, 40% of one's capital. In this
    > case, the probability of losing even two bets in a row
    > is just (.2)^2 = 0.04 (very small).

    > On the other hand, despite the same 20% expectation,
    > Case 4 permits initial wagers of just 4% of the bank,
    > because we lose so frequently. Here, there is a
    > greater than 25% chance [(0.8)^6 = 0.262] that we
    > could lose SIX times in a row. Hence, the need to bet
    > a much smaller fraction of the initial bank on each
    > coup.

    > Cases 1 and 2 represent intermediate positions, with
    > Case 2 the special "even-money" payoff,
    > where we wager our exact 20% edge each time.

    > While none of the above is directly analogous to your
    > original proposition, it does point out how
    > "expectation isn't everything."

    > Hope this helps a little.

    > Don

    Thanks Don. Your explanation helped a great deal. The examples really did it for me. I now understand it.

    Thanks again.
    Chucke

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