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The mission of arbitrage is to correct inefficiencies. People who do this pick apart strategies, concepts etc, not limited to trading/investing systems though, until they find an inefficiency or a series of inefficiencies. A bit like investing in undervalued stocks, or not?
But, inefficiencies are not always found.
Therefore, move on to the next strategy, concept etc.etc. and start again. The window of opportunity is extremely important, because you are competing with other people doing the same, looking for inefficiencies. If they beat you to it you can miss out.
So how can arbitrage be the holy grail if time is not an issue?
ducati916 said:My apologies, I assumed that you knew what an arbitrage actually was.
It is a risk free trade taken between two securities of the same issuer, but priced to provide a spread.
ducati916 said:Snake
My apologies, I assumed that you knew what an arbitrage actually was.
It is a risk free trade taken between two securities of the same issuer, but priced to provide a spread.
The spread is the risk free return. By way of example;
A Preferred convertible is selling at 1000, convertible into 25 shares of common; thus the common is fairly valued at $40.00
If however, the common is selling at $43.98, there is a 9% spread.
By purchasing the Preferred at $1000.00 and selling short the common at $43.98 or above, you lock in a 9%+ risk free return in 1/day or 1,980% annualised. If you should leverage that say 10 times, and why would you not, that is a 90% risk free return/day
Not every day.
But certainly enough to keep me interested.
No, you keep a % of your cash available for this strategy, and have alternate strategies available to fill in the slower times.
Because you cannot lose money.
That's pretty cool in my book.
jog on
d998
:bs:My apologies, I assumed that you knew what an arbitrage actually was.
It is a risk free trade taken between two securities of the same issuer, but priced to provide a spread.
Snake Pliskin said::bs:
Duc,
I was talking about arbitrage not "an arbitrage".
Perhaps you could go beyond your definition and explain why it is used by entrepreneurs all the time. It is not limited to securities, and is certainly rendered inneffective once the window of opportunity has passed. Maybe a text book can be quoted or something.....
Duc
Arbitrage opportunities, as you have mentioned before, don't come up all that often. Do I assume that these opportunities form a minor part of the strategies that you use?
You keep mentioning expectancy and I am not sure why - it's just another calculation. What measures would you use to determine if a system has a reasonable chance of working going forward? How did you determine that arbitrage was a goer?
Monte Carlo analysis is useful to investigate the possible outcomes of the same system. A single backtest run doesn't really tell me much but a 1000 simulations start to tell me things. I also don't test on individual stocks only - I always portfolio test 100's of stocks.
As I stated before if I have to do p-Values or t-tests to see the difference then the system is not worth trading. But an equity curves and quarterly returns bar chart gives me a hint of the future if I traded a system.
That is a rather limited view on arbitrage. Arbitrage is not limited to mispricing between securities.
I was talking about arbitrage not "an arbitrage".
Perhaps you could go beyond your definition and explain why it is used by entrepreneurs all the time. It is not limited to securities, and is certainly rendered inneffective once the window of opportunity has passed. Maybe a text book can be quoted or something.....
Go Snake,
I'm not the only one sick of this humdrum- jog on humbug, hope you had a good laugh !
Bob.
tech/a said:Duc
How do you determine a statistically significant amount of data?
Currently the discussion revolves around T/T and other longterm methods.
If you were a short term futures trader using 5 min tick data when is enough data enough data.
Fundamentally how long is enough fundamantal data?
How can you vouch for accuracy in the data presented in a balance sheet/s
and Profit and loss stataements? You cant tell me that everything presented fundamentally shows a complete picture,after all its presented to satisfy share holders and in the best possible light.
Again I'll ask the question--Why would you want a method to perform in an environment in which it is not desighned to perform well in?
Why would you trade a bullish method in a bear market?
Why would you trade a stock which has fundamentally great numbers when you knew that the market as a whole was going to be against it?
EG say a gold stock when Bank reserves are selling gold (as an example).
Whats stops you or anyone from suffering from analysis paralysis?
Yeh I know the 100% risk free mantra but in the real world while rarely possible not totally practical.
TT only went (I believe from 1996) and that to my mind is just barely scraping a pass mark, if we say a *business cycle* is 4yrs to 7yrs.
It does not cover *market cycles* which are much more variable.
How do you determine a statistically significant amount of data?
Sample Size
One crucial prerequisite prior to embarking upon the *testing* or study is the requirement to perform a sample size, or POWER CALCULATION In the words of D. Altman "a trial should be big enough to have a high chance of detecting, as a statistically significant, a worthwhile effect if it exists, and thus to be reasonably sure that no benefit exists if it is not found in the trial."
Fundamentally how long is enough fundamantal data?
How can you vouch for accuracy in the data presented in a balance sheet/s
and Profit and loss stataements? You cant tell me that everything presented fundamentally shows a complete picture,after all its presented to satisfy share holders and in the best possible light.
Again I'll ask the question--Why would you want a method to perform in an environment in which it is not desighned to perform well in?
Why would you trade a bullish method in a bear market?
Why would you trade a stock which has fundamentally great numbers when you knew that the market as a whole was going to be against it?
Whats stops you or anyone from suffering from analysis paralysis?
10 years is actually pretty good, but obviously doesn't include all past market activity. If you test 500 stocks over 10 years you get roughly 1.25 million trading days worth of data. But the more the better. I personally don't trust data back more than about ten years, and even then it is getting a little hairy. It's better not to test than to test on bad data.
I like to think of all the data for all the stocks joined end to end as a single stock - 10 years of data on 500 stocks is the equivalent of 5000 years worth of data for one stock. I am sure that you will point out the error in this thought but it does highlight the value of portfolio testing versus single stock back-testing for a given set of criteria.
I have been looking for price data out to 2020 but nobody seems to have it! If anyone knows a supplier I would be prepared to pay substantial sums for it - although not my soul.
If you can find a quote directly attributable to myself, asserting, entrepreneurs use it all the time then I shall do so.
Of course, that will never happen, as I never said any such thing.
I was illustrating a statistically significant methodology something that obviously holds no interest for yourself.
In regards to its limitation to securities, you are correct, there are a number of arbitrage techniques. The opportunity lasts as long as the price inefficiency, how long is a piece of string?
The quantitative methods must be consistent, comparable, show causation, correlation and be based or founded in the simplest calculations possible. The qualitative methods must support the quantitative on a common sense basis, and again be based on simple logical arguments, that are easily understood by the layman.
What you are looking for is statistical significance, the law of large numbers rules within statistical methodologies.
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