Short Time Frames Losing Their Edges?

Interesting post Andre, and upon reflection I think it sums up why it was so much easier to make lots of money during the bull market. Even the funds had decision makers who were the lame the weak or the young.
 
Quote from Ditch:

economic theory is completely useless in understanding market action. markets are ruled by FEAR and GREED, not "sophisticated computers" and it will be that way until the human brain doesn't longer exist as we know it

Sorry dude, but looks like your brain is useless if you make such claims. Economics theory can be very easily used to explain and predict the effects of fear/greed and the like. Read Prospect Theory.
 
Quote from Corso482:

Is finding an edge harder when the time frame is shorter? Or, in other words, are there fewer edges to be found in shorter time frames? Allow me to elaborate...

Finding an edge means finding a statistical inefficiency in the market. The trouble is that (1) the market is mostly efficient and (2) everyone and their mother is sitting around looking for the few inefficiencies left to exploit.

So, it can be said, therefore, that once the first problem is over come and you manage to find an inefficiency, the second problem is that others may also find the same inefficiency and arbitrage it away.

Am I right in thinking that the only reason inefficiencies exist, aside from people having not found them all, is because of smaller time frames existing within larger time frames? In other words, everything would be arbed away quickly if everyone traded the same time frame.

If that's the case, then the longer the time frame that one trades, the less likely it is that his edge will disappear because of the multiple time frames that exist within his timeframe.

Is this why daytrading is so hard? Not only are there fewer timeframes within your timeframe to help ward off the arbitraging of your edge, but also only full-time professional traders play the intraday timeframes, meaning the people you are trying to prevent from arbing your edge are that much more skilled at doing so.

If one follows this thinking, then daytrading will only get harder and eventually impossible as more and more sophisticated computers all compete for the same inefficiencies over the same short time frame. After all, couldn't one look at day trading as an activity geared toward making the market efficient? Well, if that's the case, then the better traders become, the more efficient the market will become and the harder it will be for them to make a living.

The question has to be posed in the context of the size of inefficiencies. It's very unlikely that one can find a huge inefficiency within a short time window (e.g. intraday) as scale effects would be dramatic. Thus, almost by definition, all the really large inefficiencies exist in longer time frames. Which lead to another question of whether they are inefficiencies or not b/c to be such, they have to provide <b>abnormal</b> returns which assumes you have a model for <b>normal</b> returns. At the current state we don't. The existing models are far from perfect and their imperfections quickly get compounded as the time frame gets longer. Thus, the joint-hypothesis problem - if you are finding long run inefficiencies, it's conditional on your assumption that the model of normal returns you used is correct (which is highly arguable.)
 
Quote from vladiator:

Sorry dude, but looks like your brain is useless if you make such claims. Economics theory can be very easily used to explain and predict the effects of fear/greed and the like. Read Prospect Theory.


so all these professors customarily have a oh, say, 20, 30 ES contracts out while teaching their classes right? of course, they're not all that interested in the money, they really love the teaching, but hey, why not make a few hundred thousand a year on top with a few simple predictions right? it's child's play....
 
Quote from daniel_m:




so all these professors customarily have a oh, say, 20, 30 ES contracts out while teaching their classes right? of course, they're not all that interested in the money, they really love the teaching, but hey, why not make a few hundred thousand a year on top with a few simple predictions right? it's child's play....

No it's not child's play and yes, some of them do have contracts open while they teach. I know of at least two at this university that trade actively. I'm not a professor yet, but I often give my students a quiz and check the action in the meantime, add/close a position here and there etc. So I don't see your point.
Besides, you misunderstood mine. Although this task might not be easy, the theories provide the tools to better understand and use the action. Check out, for example the article by Daniel, Hershleifer and Subrahmanyam, Journal of Finance 1998, I think (not sure of the date), they provide a unified theory that explains overreaction and underreaction across different time frames and how it relates to whether the information people react to is private or public. Unless what you are using for trading is grounded in sound economic theory, it has a high probability of being spurious. At least you can't tell if it is. I'm not sure about you, but I'd rather trade something that is not just a result of mindless data mining but is rather based in solid economic principles and thus is more likely to persist.
Cheers.
 
Quote from inandlong:


I have to disgaree with this brah. Unless you are defining the term statistical edge.

Too much is made of having an edge. Way too much is made of defining it statistically. And hoping to find an inefficiency etc etc, by now you must know that you can make statistics show whatever you want.... much the same as settings on an indicator.

Like larrybf does, why not try to find something that occurs again and again, perhaps even call it an efficiency, a normality, a common occurence? The market is full of these. Don't look for the esoteric, the unusual, the unique.

:confused: :confused: :confused:
Wouldn't you like what you find to be <b>statistically</b> reliable? Unless the pattern or whatever you wanna call it is reliable statistically, how the heck do you know it's stable?
"Occurs again and again" is alternative to being statistically significant.
Yes, indeed statistics can be misused if need be, but that is usually done to mislead others, not the researcher.
 
Quote from jem:

I find it interesting that people on the whole seem to accept the market efficiency hypothesis, and at the same time accept the theory that buy and hold is a legitimate money making strategy. Should not market efficiencies wipe out returns to investors?

having read the first paragraph, didn't even wanna read the rest...
No, they shouldn't, unless you meant "abnormal returns," which is not what buy-and-holders are after. The buy and holders merely try to get the normal 10% or so equity return annually.
No BS.
 
Quote from vladiator:


having read the first paragraph, didn't even wanna read the rest...
No, they shouldn't, unless you meant "abnormal returns," which is not what buy-and-holders are after. The buy and holders merely try to get the normal 10% or so equity return annually.
No BS.


that's right vlad. hire your monkies and hand em the darts folks, it's time to go portfolio pickin...

let's just have a quick look at the lucrative returns promised to the index buy and holders:

buy SP500 Jan '62 @ 70

sell SP500 Jan '82 @ 120

throw in a generous estimate of a 4% dividend and you've got a smashing return of....wait for it.....6.7%pa woohoo!

but wait -- let's factor in inflation for the period, which was 5.5% pa, and you've got yourself a meaty return of 1.2%!


what does EMH tell us again? no one can outperform the indices for any 'signifcant period of time'?
well, i don't know about you, but i'd consider 20 years a 'significant period of time'.

therefore, it was humanly impossible to achieve a return better than 1.2% pa from 1962 - 1982.
 
Vlad we and others got into this in detail on another thread, and you pretty much conceded the emh hypothesis can not deal with real market situations like the bubble in the Nasdaq. Now if the theory can not deal with the real world ....

Part and parcel of why emh has had to evolve over the years is that it is really liquidity that drives the market. Why do you think everyone in the fund business keeps track of fund inflows and outflows. Finally, if there are only about 40 decision makers who influence price in the short run, how can anyone claim they are emh actors. Do you think greenspan and the fed are emh followers. Do you think the guys at Fidelity say hold it we do not want anymore money coming into our funds because the market is overpriced based on our models. We refuse to invest in the market. Please do not send us anymore money. No they say hey look the Janus twenty just brought in 2 billion, lets get on board those stocks and run em up to high heaven because that is the way to match the performance of the S&P. EMH has so little to do with real Wall Street it is a amazing that people buy into it. How can academics have such a strong faith in a theory that can not be proven. It reminds me of their faith in in other theories.

By the way I have a friend who worked at the Prediction company, you know those chaos theory professors who were once Los Alamos guys. They pretty much made mince meat of the emh theory. (My friend also sports the serious academic and scientific credentials but does trade for a living)

In my opinion EMH can only be saved by redefining it every few years and saying well we made exceptions for that circumstance in this paper published here but in general it is still a good theory. Again my rebuttal is Nasdaq 5000 to about Nasdaq 2000 in a very short period of time. Not rational, not efficient but very real.
 
Quote from daniel_m:




that's right vlad. hire your monkies and hand em the darts folks, it's time to go portfolio pickin...

let's just have a quick look at the lucrative returns promised to the index buy and holders:

buy SP500 Jan '62 @ 70

sell SP500 Jan '82 @ 120

throw in a generous estimate of a 4% dividend and you've got a smashing return of....wait for it.....6.7%pa woohoo!

but wait -- let's factor in inflation for the period, which was 5.5% pa, and you've got yourself a meaty return of 1.2%!


what does EMH tell us again? no one can outperform the indices for any 'signifcant period of time'?
well, i don't know about you, but i'd consider 20 years a 'significant period of time'.

therefore, it was humanly impossible to achieve a return better than 1.2% pa from 1962 - 1982.

Not sure what your source are, they certainly conflict with what I've seen.
Edit: The figure I gave does not imply that's what you will realize in any given year, naturally. And yes, there are periods where it may not give a lot, like the one you bring to light. In highsight everyone is Warren Buffet.
I can similarly pick a subperiod of your own trading when you sucked and say, look you could have done better just sitting on cash! :eek:
 

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