Hacker News Reader

Comment by A12-B | Hacker News Reader

Damn, am I the only one who does adequate research before I dive into things? I mean, buying patents for a dog alarm before knowing your customer? Really?

Losing money on trading i understand because it's a very seductive venture and it's mostly just gambling that you can hedge slightly with some smart info. Otherwise, yeah, some of these things can only happen when you already have too much money to play with. Someone who understands what it's like to have virtually no money will never casually toss it at random ventures, they probably don't have the time to anyway.

View on HN

> seductive venture and it's mostly just gambling that you can hedge slightly with some smart info

I think part of it is the populist meme that professional investors don't really know what they're doing and accidentally make money hand-over-fist. Yes, it has been shown that free stock tips are on average no better than monkeys throwing darts, and most hedge funds under-preform the S&P 500 in risk-adjusted returns.

It was an eye-opening experience when I asked a good friend of mine who was a portfolio manager if he beat the S&P 500 on a risk-adjusted basis. His reply was "I hope that's not how I'm being evaluated". He went on to explain that he was attempting to maximize expected returns while remaining uncorrelated to the market... so that an investment basket containing a bunch of ETFs plus investments in his portfolio maximize risk-adjusted returns. (See portfolio optimization and (post-)modern portfolio theory as to why maximized risk-adjusted return isn't just a basket of 100% the highest risk-adjusted-return asset.)

I didn’t understand any of your last paragraph. Did he beat the S&P?

No, he didn't beat the S&P, but holding some investment in the S&P and some in his fund beat the S&P in risk-adjusted returns (Sortino ratio, Shapre ratio, etc.).

As I mentioned, look up portfolio optimization in Post-Modern Portfolio Theory or Modern Portfolio Theory for details, but the gist is that

  Var(aX + bY) = a^2 * Var(X) + b^2 * Var(Y) + 2ab * Cov(X,Y)

His fund was essentially uncorrelated with the S&P, so Cov(X,Y) was approximately zero. MPT uses Var(aX + bY + ... )^0.5 as its risk measure, and PMPT uses downside_variance^0.5.

I think it's called Sharpe ratio, not Shapre ratio.

Yea, typo on my part. Thanks for catching it.

My wife is a financial advisor at a name you've heard of. Maybe I can translate a bit ;)

The idea with an advisor is that you create wealth targets, and use the market to optimize your saving to hit those targets. Then other stuff like college savings accounts, taxes, what happens when you die, various financial vehicles to optimize your saving while limiting your downside.

You don't really care to beat the market, because all you need is, for example, 8.5% returns to hit your wealth goals.

It's really complicated, and hard to do alone. Just by the sheer knowledge required in so many different areas.

That's what that means - or should mean.

Right. I shouldn't have assumed it was obvious why many people would prefer to maximize risk-adjusted returns over maximizing expected returns.

One reason, as you mention, is that most people have some goals in life. The amount of happiness gained by having $500,000 more than enough to put the kids through college, pay off the house, and retire at age 60 is less than the unhappiness of being $500,000 short of these goals. Most people's happiness isn't a linear function of their money, and it's perfectly rational to maximize happiness instead of maximizing money.

But, even if you're just trying to maximize money, the amount of leverage (loans, etc.) you can get should be related to your probability of being able to pay the loan back, so better risk-adjusted returns should allow you to get more leverage, leading to better expected returns if you're the type to maximize leverage.

https://en.wikipedia.org/wiki/Absolute_return

No. Because that wasn’t his goal.

Reply on news.ycombinator.com