Kelly Criterion Trading Strategy : Used by Buffett, Munger, Pabrai

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  • Опубліковано 12 вер 2024
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    FYI Some people refer to the Kelly formula as the Kelly Criterion, but it’s the same thing.
    Warren Buffet, Charlie Munger and Mohnish Pabrai use the Kelly Criterion as a safe way to guide their decision into the size of the investment they should make. So if it’s good enough for the best investors, it is good enough for us.
    Kelly Percentage = probability of winning - (1 - probability of winning)/ winnings as a percent
    So let’s enter the information for this game.
    K = 0.5 - (1 - 0.5) / 1.5
    = 0.167 or 17% of your available balance.
    So in this game, it would be wise for your first bet to wager 17 cents.
    Because if you lose, you still have bankroll to try again.
    Now something that is VERY VERY VERY important. Is this Kelly Formula only works when you have a profitable opportunity.
    But our coin flip game gives you 50/50 odds and the win is bigger than the loss. So it’s a profitable game.
    So how do we use it for the stock market? Or any investment?
    So I’m going to go through the example of Global Cord Blood Corp, which is a Chinese company I have been interested in for some time now.
    It’s a good example as the risks are higher than a lot of other stocks.
    Right now there are 156 Chinese based companies listed in the US.
    So if 1 in 8 companies have fraudulent activities, that would be 12.5%.
    But let’s presume it’s higher than that and the fraudulent numbers are at 2010 levels of 35%.
    Let’s also assume, that these companies are so fraudulent, that their stock price should be 0.
    Even though a lot of fraudulent companies have different degrees of fraud, some minor some major. But let’s assume if the company is fraudulent, we get wiped out.
    So far we have our win probability at 65% and our loss probability at 35%.
    I think it’s better to be conservative here and say there is a 20% chance of something like this happening.
    So now our win percentage is down to 45%, and our total loss probability is 55%.
    Now what do we win if the 45% probability event takes place?
    But again, let’s be conservative, so I think at a minimum, the win would be that the company reaches the level of the Take over offer on the table. Which is $7.50 per share.
    The current share price is $3, so to get to $7.50, it would be a 150% increase.
    So let’s put all of this into the Kelly Formula and see what happens.
    Kelly Percentage = probability of winning - (1 - probability of winning)/ winnings as a percent
    K = 0.45 - (1 - 0.45)/1.5
    K = 0.083 or 8%
    Let me summarise by saying this.
    No investing system is perfect. The Kelly formula will help you allocate funds to opportunities effectively, but it will not pick winning stocks for you.
    But when a great opportunity comes along, The Kelly formula will help you take advantage of it. If the odds are in your favor, and the rewards are really high, well you should be aggressive. The Kelly formula will definitely help you be more decisive.
    Sometimes you need to go big, but just not so big that you get wiped out and can’t recover.
    If you enjoyed the Kelly formula, don’t forget to subscribe and I’ll see you in the next video.

КОМЕНТАРІ • 72

  • @JeanOfmArc
    @JeanOfmArc 3 роки тому +1

    Fantastic! Thank you for pointing me to the Kelly Criterion, and explaining it!

  • @darraghcollins4961
    @darraghcollins4961 3 роки тому +2

    Okay, last comment now I promise. For anyone interested. Unless I am mistaken (in which case I would greatly appreciate being corrected) you could figure out the odds of independent events occurring using a Venn diagram or similar (that's just what I used to make it easier) and give each event a probability and a return/loss. You could then group them together into 2 groups of winning scenarios and losing scenarios. Using the formula in the link of my other comment (Where there is not an absolute loss assumed) you could calculate a far more accurate and flexible allocation percentage.
    This would make sense to do as a company would be made of components working often independent of each other. Just make sure not to compound the gains and losses unless you purposely want to do that as it would just make no sense. If one was dedicated enough they could even figure out how these independent events may increase or decrease profits beyond their individual sums (eg a product that competes slightly with another new product of the company)

  • @moneymetrics7090
    @moneymetrics7090 3 роки тому +2

    One of the best videos on this topic! Thanks 😊

  • @kariihsani6705
    @kariihsani6705 3 роки тому +3

    good explanations! thank you. i wish i could see another kelly criterion applied during the covid-19 in US equity market

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  3 роки тому

      glad it helped :)

    • @louisernesto5886
      @louisernesto5886 3 роки тому

      I dont mean to be offtopic but does anyone know of a way to log back into an instagram account..?
      I stupidly lost my login password. I would love any assistance you can offer me!

  • @digitalnomadgirl
    @digitalnomadgirl 4 роки тому +4

    Maths overload! I feel so smart now :)

  • @ksenianikolaeva1501
    @ksenianikolaeva1501 4 роки тому +3

    The best tuition of investment! Thanks, красавчик 😁

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  4 роки тому +1

      Большое спасибо 🤘, первый комментарий 🥳

  • @perranfulo
    @perranfulo 3 роки тому +2

    Thanks for the video. Very clear. I have one question: how are you calculating the odds of a company being profitable and compute that into a number that you can plug into the formula?
    You gave an example of a weighted coin. How does the coin being weighted change the odds to specifically 0.51 and not, say, 0.53?

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  3 роки тому +1

      That's a great question and practically impossible to get exactly right in stocks. It is more of a estimate. For example, the odds of bank of america going to 0 would be less likely than some start up. Hope that makes sense. Ball park figure is the aim

  • @Lozmyster999
    @Lozmyster999 4 роки тому +2

    I love the unemotional structure to your methods!

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  4 роки тому

      Hey mate, thanks, appreciate the feedback. I'll get back into some company analysis soon :)

  • @tusharagarwal3886
    @tusharagarwal3886 2 роки тому

    complicated the formula simply 2p-1=x can be used where p is the probability of winning and x is percentage of investment of your net worth/portfolio

  • @creativewavetraders9109
    @creativewavetraders9109 Рік тому +1

    Thank you very much. Subscribed & will watch more of your videos

  • @user-ty9gl6ld6i
    @user-ty9gl6ld6i 3 роки тому +2

    @Andrew brown thank you for that! But how do you calculate the P and B in the first place for an investment? Also- Does this require additional sensitivity analysis?

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  3 роки тому

      Great point, it is very difficult and more guess work than accurate maths. Honestly, this is only helpful if you have many opportunities to invest. But most people won't have 100's of things to invest in, so this isn't the best strategy. I have learnt this since making the video.

    • @abdjahdoiahdoai
      @abdjahdoiahdoai 2 роки тому

      You can’t use what’s in this video in real life. To estimate these parameters, it’s hard. There are companies just to estimate these, even they aren’t that accurate even you built some complicated models . So in modern portfolio theory, you have an expected return and a covariance instead of the probability of the return (P & B) and the distribution (in %), hence you can get one of the parameter (expected return in stock) and say you magically get the second one. Even just some difference in your parameters make your bet size changes, which will result in changes in your return! But we can take a step backward and forget the math, if you somehow trust your company’s estimate on the return, why don’t you yeet yourself and do leverage onto the position?
      in conclusion, 1) you can’t estimate these. 2) even if you think you have it, the strategy isn’t robust, small difference in the estimate will result in big difference in your return. 3) this thinking doesn’t take covariance into account, the buy/sell time isn’t well defined, and most importantly it isn’t the same bet over time as the market change overtime.
      This video assumes the parameters are trusted and true, but stock market isn’t like that. Same way university level investment finance class teaches you about portfolio theory, it’s more like a mental framework that helps you think about these stuff and you can’t really implement it unless you dive really deep into it

  • @denisebillsborough7557
    @denisebillsborough7557 4 роки тому +1

    I like this one. Very technical to me, but explained so well I can follow along.

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  4 роки тому

      Thank you for your comment. Glad you liked the video, I was trying to explain it the best I could because it is a bit technical.

  • @anuarjose7145
    @anuarjose7145 3 роки тому +1

    Thank you Andrew!! Great stuff!!

  • @danielong8786
    @danielong8786 3 роки тому +1

    Great explanation! Thanks!

  • @ismailaj7706
    @ismailaj7706 3 роки тому +1

    thank you Mr. Andrew it is very useful

  • @neilb8414
    @neilb8414 10 днів тому

    What’s 92% divided by 2? It is not 41%.

  • @poisonza
    @poisonza 6 місяців тому

    so what if returns are not from binomial distribution ? such that tail risk is heavy?

  • @mcsibs
    @mcsibs 4 роки тому

    I think you may like SSL if you havent looked into it yet. Its the second largest company in South Africa. They had a huge mishap on an giant investment amplified by negative oil prices. They look to be recovering. In any case, a company SA sees as too big to fail at 8 dollars a share is enticing.

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  4 роки тому +1

      Hi, appreciate the comment and suggestion. I haven't looked into SSL, or any South Africa company for now but I'll add it to my list.

  • @user-vy8oj1ts8k
    @user-vy8oj1ts8k 4 роки тому +1

    this is great! well explained;)!

  • @techihandle
    @techihandle Рік тому

    Didn't pabrai disown method of kell criterion for investing, isn't it just for betting when you are putting money several times.

  • @Sam-yu4ve
    @Sam-yu4ve 4 роки тому +1

    Nice video dude!

  • @mohdradzi4591
    @mohdradzi4591 3 роки тому

    with R:R 2 to 1..and winning rate 50%..risking 25% still make you a lot..more on trade expectancy

  • @kingtheoden0
    @kingtheoden0 2 роки тому

    Why did you use 1.5 as denominator when referring to a 150% final possible result in the coin example but used 0.15 when referring to a final balance of 115% for the Berkshire example, shouldn´t it have been 1.15?
    Thanks!

  • @richardgreenup3808
    @richardgreenup3808 4 роки тому +1

    great report

  • @chessdad182
    @chessdad182 2 роки тому

    Excellent

  • @ashtonsmith2473
    @ashtonsmith2473 4 роки тому +1

    binging these

  • @RedShiftedDollar
    @RedShiftedDollar 3 роки тому

    It still works when the odds are against you. You just have to flip your perspective. If you take it from the "house's" perspective, they will be at greatest risk of loss, despite their odds advantage, when you put all your money on a single bet. This is because it is their most likely way to go bankrupt which is your most likely way to win.
    So basically, if you know the odds are against you, just go all in!

  • @IsaacWendt
    @IsaacWendt Рік тому

    Issue with Kelly in stocks is you don't know the payout or probability. Makes it almost useless.
    great example is Birkshire returning 15% for the next 50 years @ 90%. Holy fk. maybe 25% and thats high.

  • @darraghcollins4961
    @darraghcollins4961 3 роки тому

    Surely this would break down when looking at for example treasury bonds. Even at crazy low interest rates, the formula would probably tell you to go near all in due to the extremely low risk. Anyone know a modified formula that could account for this?

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  3 роки тому

      So you are right, but only if you can make the same bet over and over again therefore it will compound quickly. I actually think the kelly formula isn't a good way to think about investment size. Because it assumes unlimited bets. And we all know that's not possible in most investing. It works at the casino.

  • @obcane3072
    @obcane3072 2 роки тому

    If you have a trend following system that is profitable 54% of the time with a mean profit of 19% per trade and median profit of 9% per trade, with a mean loss of 4.5% and median loss of 3.9%.
    How will this be calculated?
    I'm getting strange numbers:
    .54- (0.46/.09)=-4.57
    Should I be looking at cumulative return over 1-2 years instead?
    Or is this saying it's a bad system 😃

  • @edmoyse
    @edmoyse 4 роки тому +2

    I'll just ask my friend Kelly

  • @raytrack3552
    @raytrack3552 3 роки тому +1

    Hella assumptions, which I thought mathematical equations are supposed to reduce. Not sure I can recommend this strategy; however, after I heard x5 assumptions, I stopped trying to understand

    • @AndrewBrownInvesting
      @AndrewBrownInvesting  3 роки тому

      Totally understand, it is suppose to get you thinking about how to allocate as best as possible. Definitely lots of assumptions but that is how predicting the future works I guess. If you find a better way, let me know. I'd be open to learning any other methods.

    • @ramyalsharif2743
      @ramyalsharif2743 3 роки тому

      @@AndrewBrownInvesting Ray is right here, Kelly assumes constants and not changes in market conditions. Consistent probability of payout is not true in a market, and it doesn't take into consideration the correlation between securities. Also, if you would assume the potential profit equal to the potential loss (efficient market hypothesis), the probability of profit is 0%. There are other ways to use this, but it's just not that simple.

  • @rakeshpanwar6382
    @rakeshpanwar6382 2 роки тому

    dude na, they never use this formula

  • @KAS-kl7dn
    @KAS-kl7dn 3 роки тому +1

    Funny that I own this also.

  • @blackopal3138
    @blackopal3138 3 роки тому

    Are you broke yet?

  • @robertcross9047
    @robertcross9047 2 роки тому

    my nigga sid the sloth is wise