

Howdy
I *know* I've seen it discussed before on the list, and I've tried to
search through all my emails and the archives for it so forgive me for
reposting (perhaps I'm using the improper search terms).
To calculate the simple returns for a time series above 0, no brainer:
I'm using the Return.calculate function to calculate these (method="simple")
Things get a little tricky when I throw in time series that are negative
(such as spreads):
x =
c(117,122,129,129,134,136,136,140,143,143,143.2,146.7,145.8,143,141.2,137.7,135.5,133.6)
NaN's are produced when trying to get a "return" time series. I seem to
recall doing this
xa = abs(x)
Return.calculate(xa)
2 0.041847110
3 0.055791360
4 0.000000000
5 0.038027396
6 0.014815086
7 0.000000000
8 0.028987537
9 0.021202208
10 0.000000000
11 0.001397624
12 0.024147431
13 0.006153866
14 0.019391189
15 0.012667305
16 0.025099919
17 0.016105765
18 0.014121379
I am thinking that I could take the abs value, once I get the return
series just invert it by multiplying by 1. I'm concerned that something
could be thrown off by a series that's changing from lets say 1,0,1
(puking on the 0).
Can someone point me to anything that addresses this? Not sure the
"solution" i outlined above is the proper way to handle this.
c
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The post:
http://www.portfolioprobe.com/2010/10/04/ataleoftworeturns/may or may not answer your question.
If it does answer your question, then I suspect
you are using negative values to mean "short".
Correct?
If it does not answer your question, then can you
explain the negative part more thoroughly please?
On 27/10/2010 16:54, Johnson, Cedrick W. wrote:
> Howdy
>
> I *know* I've seen it discussed before on the list, and I've tried to
> search through all my emails and the archives for it so forgive me for
> reposting (perhaps I'm using the improper search terms).
>
> To calculate the simple returns for a time series above 0, no brainer:
>
> I'm using the Return.calculate function to calculate these
> (method="simple")
>
> Things get a little tricky when I throw in time series that are negative
> (such as spreads):
>
> x =
> c(117,122,129,129,134,136,136,140,143,143,143.2,146.7,145.8,143,141.2,137.7,135.5,133.6)
>
>
> NaN's are produced when trying to get a "return" time series. I seem to
> recall doing this
>
> xa = abs(x)
> Return.calculate(xa)
>
> 2 0.041847110
> 3 0.055791360
> 4 0.000000000
> 5 0.038027396
> 6 0.014815086
> 7 0.000000000
> 8 0.028987537
> 9 0.021202208
> 10 0.000000000
> 11 0.001397624
> 12 0.024147431
> 13 0.006153866
> 14 0.019391189
> 15 0.012667305
> 16 0.025099919
> 17 0.016105765
> 18 0.014121379
>
> I am thinking that I could take the abs value, once I get the return
> series just invert it by multiplying by 1. I'm concerned that something
> could be thrown off by a series that's changing from lets say 1,0,1
> (puking on the 0).
>
> Can someone point me to anything that addresses this? Not sure the
> "solution" i outlined above is the proper way to handle this.
>
> c
>
> _______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/rsigfinance>  Subscriberposting only. If you want to post, subscribe first.
>  Also note that this is not the rhelp list where general R questions
> should go.
>

Patrick Burns
[hidden email]
http://www.burnsstat.comhttp://www.portfolioprobe.com/blog_______________________________________________
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 Also note that this is not the rhelp list where general R questions should go.


I'll look into the materials at the post in more detail shortly, much
appreciated.
On the series, I could either be long or short. Meaning:
"long" at 117, if it jumps to 122 i've lost 5. Conversely, "short"
117 and it jumps to 122 +5.
I hope I explained it well, as I said i'll check the link and do some
more digging.
regards,
c
On 10/27/2010 12:38 PM, Patrick Burns wrote:
> The post:
> http://www.portfolioprobe.com/2010/10/04/ataleoftworeturns/> may or may not answer your question.
>
> If it does answer your question, then I suspect
> you are using negative values to mean "short".
> Correct?
>
> If it does not answer your question, then can you
> explain the negative part more thoroughly please?
>
> On 27/10/2010 16:54, Johnson, Cedrick W. wrote:
>> Howdy
>>
>> I *know* I've seen it discussed before on the list, and I've tried to
>> search through all my emails and the archives for it so forgive me for
>> reposting (perhaps I'm using the improper search terms).
>>
>> To calculate the simple returns for a time series above 0, no brainer:
>>
>> I'm using the Return.calculate function to calculate these
>> (method="simple")
>>
>> Things get a little tricky when I throw in time series that are negative
>> (such as spreads):
>>
>> x =
>> c(117,122,129,129,134,136,136,140,143,143,143.2,146.7,145.8,143,141.2,137.7,135.5,133.6)
>>
>>
>>
>> NaN's are produced when trying to get a "return" time series. I seem to
>> recall doing this
>>
>> xa = abs(x)
>> Return.calculate(xa)
>>
>> 2 0.041847110
>> 3 0.055791360
>> 4 0.000000000
>> 5 0.038027396
>> 6 0.014815086
>> 7 0.000000000
>> 8 0.028987537
>> 9 0.021202208
>> 10 0.000000000
>> 11 0.001397624
>> 12 0.024147431
>> 13 0.006153866
>> 14 0.019391189
>> 15 0.012667305
>> 16 0.025099919
>> 17 0.016105765
>> 18 0.014121379
>>
>> I am thinking that I could take the abs value, once I get the return
>> series just invert it by multiplying by 1. I'm concerned that something
>> could be thrown off by a series that's changing from lets say 1,0,1
>> (puking on the 0).
>>
>> Can someone point me to anything that addresses this? Not sure the
>> "solution" i outlined above is the proper way to handle this.
>>
>> c
>>
>> _______________________________________________
>> [hidden email] mailing list
>> https://stat.ethz.ch/mailman/listinfo/rsigfinance>>  Subscriberposting only. If you want to post, subscribe first.
>>  Also note that this is not the rhelp list where general R questions
>> should go.
>>
>
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https://stat.ethz.ch/mailman/listinfo/rsigfinance Subscriberposting only. If you want to post, subscribe first.
 Also note that this is not the rhelp list where general R questions should go.


Okay. The thing about returns is that
they are about *money*. The return
over a period of time is a function of
two values:
* the amount of money to buy
* the amount of money to sell
I don't think that is what you have in
your data.
On 27/10/2010 17:51, Johnson, Cedrick W. wrote:
> I'll look into the materials at the post in more detail shortly, much
> appreciated.
>
> On the series, I could either be long or short. Meaning:
>
> "long" at 117, if it jumps to 122 i've lost 5. Conversely, "short"
> 117 and it jumps to 122 +5.
>
> I hope I explained it well, as I said i'll check the link and do some
> more digging.
>
> regards,
> c
>
> On 10/27/2010 12:38 PM, Patrick Burns wrote:
>> The post:
>> http://www.portfolioprobe.com/2010/10/04/ataleoftworeturns/>> may or may not answer your question.
>>
>> If it does answer your question, then I suspect
>> you are using negative values to mean "short".
>> Correct?
>>
>> If it does not answer your question, then can you
>> explain the negative part more thoroughly please?
>>
>> On 27/10/2010 16:54, Johnson, Cedrick W. wrote:
>>> Howdy
>>>
>>> I *know* I've seen it discussed before on the list, and I've tried to
>>> search through all my emails and the archives for it so forgive me for
>>> reposting (perhaps I'm using the improper search terms).
>>>
>>> To calculate the simple returns for a time series above 0, no brainer:
>>>
>>> I'm using the Return.calculate function to calculate these
>>> (method="simple")
>>>
>>> Things get a little tricky when I throw in time series that are negative
>>> (such as spreads):
>>>
>>> x =
>>> c(117,122,129,129,134,136,136,140,143,143,143.2,146.7,145.8,143,141.2,137.7,135.5,133.6)
>>>
>>>
>>>
>>> NaN's are produced when trying to get a "return" time series. I seem to
>>> recall doing this
>>>
>>> xa = abs(x)
>>> Return.calculate(xa)
>>>
>>> 2 0.041847110
>>> 3 0.055791360
>>> 4 0.000000000
>>> 5 0.038027396
>>> 6 0.014815086
>>> 7 0.000000000
>>> 8 0.028987537
>>> 9 0.021202208
>>> 10 0.000000000
>>> 11 0.001397624
>>> 12 0.024147431
>>> 13 0.006153866
>>> 14 0.019391189
>>> 15 0.012667305
>>> 16 0.025099919
>>> 17 0.016105765
>>> 18 0.014121379
>>>
>>> I am thinking that I could take the abs value, once I get the return
>>> series just invert it by multiplying by 1. I'm concerned that something
>>> could be thrown off by a series that's changing from lets say 1,0,1
>>> (puking on the 0).
>>>
>>> Can someone point me to anything that addresses this? Not sure the
>>> "solution" i outlined above is the proper way to handle this.
>>>
>>> c
>>>
>>> _______________________________________________
>>> [hidden email] mailing list
>>> https://stat.ethz.ch/mailman/listinfo/rsigfinance>>>  Subscriberposting only. If you want to post, subscribe first.
>>>  Also note that this is not the rhelp list where general R questions
>>> should go.
>>>
>>
>
>

Patrick Burns
[hidden email]
http://www.burnsstat.comhttp://www.portfolioprobe.com/blog_______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/rsigfinance Subscriberposting only. If you want to post, subscribe first.
 Also note that this is not the rhelp list where general R questions should go.


I concur; I was approaching this particular problem from the wrong way
and this helps clarify things a great bit.
Thanks for clarity on this on behalf of my foggy brain today
c
On 10/27/2010 1:11 PM, Patrick Burns wrote:
> Okay. The thing about returns is that
> they are about *money*. The return
> over a period of time is a function of
> two values:
> * the amount of money to buy
> * the amount of money to sell
>
> I don't think that is what you have in
> your data.
>
> On 27/10/2010 17:51, Johnson, Cedrick W. wrote:
>> I'll look into the materials at the post in more detail shortly, much
>> appreciated.
>>
>> On the series, I could either be long or short. Meaning:
>>
>> "long" at 117, if it jumps to 122 i've lost 5. Conversely, "short"
>> 117 and it jumps to 122 +5.
>>
>> I hope I explained it well, as I said i'll check the link and do some
>> more digging.
>>
>> regards,
>> c
>>
>> On 10/27/2010 12:38 PM, Patrick Burns wrote:
>>> The post:
>>> http://www.portfolioprobe.com/2010/10/04/ataleoftworeturns/>>> may or may not answer your question.
>>>
>>> If it does answer your question, then I suspect
>>> you are using negative values to mean "short".
>>> Correct?
>>>
>>> If it does not answer your question, then can you
>>> explain the negative part more thoroughly please?
>>>
>>> On 27/10/2010 16:54, Johnson, Cedrick W. wrote:
>>>> Howdy
>>>>
>>>> I *know* I've seen it discussed before on the list, and I've tried to
>>>> search through all my emails and the archives for it so forgive me for
>>>> reposting (perhaps I'm using the improper search terms).
>>>>
>>>> To calculate the simple returns for a time series above 0, no brainer:
>>>>
>>>> I'm using the Return.calculate function to calculate these
>>>> (method="simple")
>>>>
>>>> Things get a little tricky when I throw in time series that are
>>>> negative
>>>> (such as spreads):
>>>>
>>>> x =
>>>> c(117,122,129,129,134,136,136,140,143,143,143.2,146.7,145.8,143,141.2,137.7,135.5,133.6)
>>>>
>>>>
>>>>
>>>>
>>>> NaN's are produced when trying to get a "return" time series. I
>>>> seem to
>>>> recall doing this
>>>>
>>>> xa = abs(x)
>>>> Return.calculate(xa)
>>>>
>>>> 2 0.041847110
>>>> 3 0.055791360
>>>> 4 0.000000000
>>>> 5 0.038027396
>>>> 6 0.014815086
>>>> 7 0.000000000
>>>> 8 0.028987537
>>>> 9 0.021202208
>>>> 10 0.000000000
>>>> 11 0.001397624
>>>> 12 0.024147431
>>>> 13 0.006153866
>>>> 14 0.019391189
>>>> 15 0.012667305
>>>> 16 0.025099919
>>>> 17 0.016105765
>>>> 18 0.014121379
>>>>
>>>> I am thinking that I could take the abs value, once I get the return
>>>> series just invert it by multiplying by 1. I'm concerned that
>>>> something
>>>> could be thrown off by a series that's changing from lets say 1,0,1
>>>> (puking on the 0).
>>>>
>>>> Can someone point me to anything that addresses this? Not sure the
>>>> "solution" i outlined above is the proper way to handle this.
>>>>
>>>> c
>>>>
>>>> _______________________________________________
>>>> [hidden email] mailing list
>>>> https://stat.ethz.ch/mailman/listinfo/rsigfinance>>>>  Subscriberposting only. If you want to post, subscribe first.
>>>>  Also note that this is not the rhelp list where general R
>>>> questions
>>>> should go.
>>>>
>>>
>>
>>
>
_______________________________________________
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https://stat.ethz.ch/mailman/listinfo/rsigfinance Subscriberposting only. If you want to post, subscribe first.
 Also note that this is not the rhelp list where general R questions should go.

