Hi,
 
Thanks everybody for your contribution!
 
I am hyper motivated to explore your propositions. But, I am sure that I will need your help (we will see how in the future). Can you give me an idea of the cost for implementing this solution? 
 
 I will come back to you next week with the details.
 
Thanks,
 
Fabrice



> From: r-sig-finance-request@stat.math.ethz.ch> Subject: R-SIG-Finance Digest, Vol 37, Issue 5> To: r-sig-finance@stat.math.ethz.ch> Date: Fri, 8 Jun 2007 12:00:04 +0200> > Send R-SIG-Finance mailing list submissions to> r-sig-finance@stat.math.ethz.ch> > To subscribe or unsubscribe via the World Wide Web, visit> https://stat.ethz.ch/mailman/listinfo/r-sig-finance> or, via email, send a message with subject or body 'help' to> r-sig-finance-request@stat.math.ethz.ch> > You can reach the person managing the list at> r-sig-finance-owner@stat.math.ethz.ch> > When replying, please edit your Subject line so it is more specific> than "Re: Contents of R-SIG-Finance digest..."> > > Today's Topics:> > 1. Re: R-project and the risk measurement for mutual and hedge> funds (Fabrice McShort)> 2. R?f. : Re: R-project and the risk measurement for mutual and> hedge funds (guillaume.nicoulaud@halbis.com)> 3. Re: R?f. : Re: R-project and the risk measurement for mutual> and hedge funds (Brian G. Peterson)> 4. Re: R?f. : Re: R-project and the risk measurement for mutual> and hedge funds (Sylvain BARTHELEMY)> 5. Re: R?f. : Re: R-project and the risk measurement for mutual> and hedge funds (Joshua Reich)> 6. Re: R?f. : Re: R-project and the risk measurement for mutual> and hedge funds (ngottlieb@marinercapital.com)> 7. hedge funds data (Liu Zhigang)> 8. R?f. : hedge funds data (guillaume.nicoulaud@halbis.com)> > > ----------------------------------------------------------------------> > Message: 1> Date: Thu, 7 Jun 2007 12:36:39 +0200> From: Fabrice McShort <fabricemcshort@hotmail.com>> Subject: Re: [R-SIG-Finance] R-project and the risk measurement for> mutual and hedge funds> To: "r-sig-finance@stat.math.ethz.ch"> <r-sig-finance@stat.math.ethz.ch>> Message-ID: <BAY129-W909F389A3B500ECF3058FCB260@phx.gbl>> Content-Type: text/plain> > Thanks for your help!> > R project will enable me to have CVaR, Modified Sharpe Ratio, etc. But, I guess that I cannot use R project to produce "automatically" Risk management report and performance attribution for the funds. Is it true? I will be happy to know what software is appropriated for this task?> > PS: I need to produce 500 risk management reports per month!!!> > Thanks!> > Fabrice> _________________________________________________________________> Le blog Messenger de Michel, candidat de la Nouvelle Star : analyse, news, coulisses… A découvrir !> > [[alternative HTML version deleted]]> > > > ------------------------------> > Message: 2> Date: Thu, 7 Jun 2007 13:37:05 +0200> From: guillaume.nicoulaud@halbis.com> Subject: [R-SIG-Finance] R?f. : Re: R-project and the risk> measurement for mutual and hedge funds> To: Fabrice McShort <fabricemcshort@hotmail.com>> Cc: "r-sig-finance@stat.math.ethz.ch"> <r-sig-finance@stat.math.ethz.ch>,> r-sig-finance-bounces@stat.math.ethz.ch> Message-ID:> <OF99677CA3.8EE1244E-ONC12572F3.003F4664-C12572F3.003FD1F1@hsbc.fr>> Content-Type: text/plain; charset="UTF-8"> > One convenient way to do that is to build a R - TeX architecture. If your raw data is stored in a database you may build pdf reports for as many funds you want in just one click.> G> > > > > > Pour : "r-sig-finance@stat.math.ethz.ch" > <r-sig-finance@stat.math.ethz.ch> > cc : > Fabrice McShort Objet : Re: [R-SIG-Finance] R-project and the risk measurement for mutual > <fabricemcshort@hotmail.com> and hedge funds > Envoy? par : > r-sig-finance-bounces@stat.math.ethz. > ch > > > 07/06/2007 12:36 > > > > > > > Thanks for your help!> > R project will enable me to have CVaR, Modified Sharpe Ratio, etc. But, I guess that I cannot use R project to produce "automatically" Risk management report and performance attribution for the funds. Is it true? I will be happy to know> what software is appropriated for this task?> > PS: I need to produce 500 risk management reports per month!!!> > Thanks!> > Fabrice> _________________________________________________________________> Le blog Messenger de Michel, candidat de la Nouvelle Star : analyse, news, coulisses? A d?couvrir !> > [[alternative HTML version deleted]]> > _______________________________________________> R-SIG-Finance@stat.math.ethz.ch mailing list> https://stat.ethz.ch/mailman/listinfo/r-sig-finance> -- Subscriber-posting only.> -- If you want to post, subscribe first.> > Les informations contenues dans ce message sont confidentielles et peuvent constituer des informations privilegiees. Si vous n etes pas le destinataire de ce message, il vous est interdit de le copier, de le faire suivre, de le divulguer ou d en utiliser tout ou partie. Si vous avez recu ce message par erreur, merci de le supprimer de votre systeme, ainsi que toutes ses copies, et d en avertir immediatement l expediteur par message de retour.> Il est impossible de garantir que les communications par messagerie electronique arrivent en temps utile, sont securisees ou denuees de toute erreur ou virus. En consequence, l expediteur n accepte aucune responsabilite du fait des erreurs ou omissions qui pourraient en resulter.> --- ----------------------------------------------------- ---> The information contained in this e-mail is confidential. It...{{dropped}}> > > > ------------------------------> > Message: 3> Date: Thu, 07 Jun 2007 06:57:53 -0500> From: "Brian G. Peterson" <brian@braverock.com>> Subject: Re: [R-SIG-Finance] R?f. : Re: R-project and the risk> measurement for mutual and hedge funds> To: Fabrice McShort <fabricemcshort@hotmail.com>> Cc: R-SIG-Finance <r-sig-finance@stat.math.ethz.ch>> Message-ID: <4667F2C1.8090904@braverock.com>> Content-Type: text/plain; charset=UTF-8; format=flowed> > Fabrice McShort writes:> > Thanks for your help!> > > > R project will enable me to have CVaR, Modified Sharpe Ratio, etc. > > But, I guess that I cannot use R project to produce "automatically" > > Risk management report and performance attribution for the funds. > > Is it true? I will be happy to know what software is appropriated > > for this task?> > > > PS: I need to produce 500 risk management reports per month!!!> > > > Thanks!> > guillaume.nicoulaud@halbis.com wrote:> > One convenient way to do that is to build a R - TeX architecture.> > If your raw data is stored in a database you may build pdf reports> > for as many funds you want in just one click.> > G> > > Giullaume is correct. I'll provide a little more context.> > The primary tool that you want is Sweave, which allows you to run R code > from inside a LaTeX document. This is straightforward, but I wouldn't > call it simple if you're not familiar with LaTeX and as a newcomer to R.> > I would recommend starting by choosing a LaTeX editor that can be used > with Sweave, such as Lyx. There are HOWTO's available online describing > how to configure Lyx for use with Sweave.> > Then, you'll construct your risk report. Basically, I'd look at the > charts and tables in the PerformanceAnalytics package for ideas on how > you might build R functions to compile statistics you need for your > report into tabular data and for charts that you may wish to display. > Many of the charts and tables in PerformanceAnalytics may be appropriate > starting places for your mutual fund reports because many of them were > developed for analysis of portfolios of hedge funds. I also mention it > because as one of the authors, I'm most familiar with it.> > You'll probably want to use Lyx or some other LaTeX editor to help you > lay out your Sweave document into a nice printable report structure. As > Guillaume mentioned, if your historical data is stored in a database, > you can automate the task of loading the data and generating one report > per fund. If your historical data is in files or available via a web > download interface, this could be automated also. Ask the list if you > run into specific problems on this that you are having trouble sorting > through yourself.> > Once you have a layout that works, running Sweave in an automated or > semiautomated fashion for producing the reports is pretty > straightforward. There was an R News article specifically on this topic > a while back that I'm sure a little Google searching could help you locate.> > Hopefully this adds a little more context to Guillaume's suggestion. > The list will be happy to help with specifics as you get closer. Please > consider sharing the LaTeX/noweb document that you develop with the > community. I'm sure others would benefit from your experience.> > Regards,> > - Brian> > > > ------------------------------> > Message: 4> Date: Thu, 7 Jun 2007 14:40:21 +0200> From: "Sylvain BARTHELEMY" <barth@tac-financial.com>> Subject: Re: [R-SIG-Finance] R?f. : Re: R-project and the risk> measurement for mutual and hedge funds> To: "'R-SIG-Finance'" <r-sig-finance@stat.math.ethz.ch>> Message-ID: <00b201c7a901$03d969f0$0b8c3dd0$@com>> Content-Type: text/plain; charset="iso-8859-1"> > > A didn't know about this Sweave pack and it is a really interesting topic.> > Another simple way to produce the report would be to store the quantitative> results of your risk analysis in an Microsoft Access database (using the> excellent RODBC package) and to create as many Access Reports as you need.> It is less 'elegant' than what explains Brian, but it can be done easily and> it is very flexible.> > ---> Sylvain Barth?l?my> Head of Quantitative Research, TAC> www.tac-financial.com | www.sylbarth.com> > > -----Message d'origine-----> De?: r-sig-finance-bounces@stat.math.ethz.ch> [mailto:r-sig-finance-bounces@stat.math.ethz.ch] De la part de Brian G.> Peterson> Envoy??: jeudi 7 juin 2007 13:58> ??: Fabrice McShort> Cc?: R-SIG-Finance> Objet?: Re: [R-SIG-Finance] R?f. : Re: R-project and the risk measurement> for mutual and hedge funds> > Fabrice McShort writes:> > Thanks for your help!> > > > R project will enable me to have CVaR, Modified Sharpe Ratio, etc. > > But, I guess that I cannot use R project to produce "automatically" > > Risk management report and performance attribution for the funds. > > Is it true? I will be happy to know what software is appropriated > > for this task?> > > > PS: I need to produce 500 risk management reports per month!!!> > > > Thanks!> > guillaume.nicoulaud@halbis.com wrote:> > One convenient way to do that is to build a R - TeX architecture.> > If your raw data is stored in a database you may build pdf reports> > for as many funds you want in just one click.> > G> > > Giullaume is correct. I'll provide a little more context.> > The primary tool that you want is Sweave, which allows you to run R code > from inside a LaTeX document. This is straightforward, but I wouldn't > call it simple if you're not familiar with LaTeX and as a newcomer to R.> > I would recommend starting by choosing a LaTeX editor that can be used > with Sweave, such as Lyx. There are HOWTO's available online describing > how to configure Lyx for use with Sweave.> > Then, you'll construct your risk report. Basically, I'd look at the > charts and tables in the PerformanceAnalytics package for ideas on how > you might build R functions to compile statistics you need for your > report into tabular data and for charts that you may wish to display. > Many of the charts and tables in PerformanceAnalytics may be appropriate > starting places for your mutual fund reports because many of them were > developed for analysis of portfolios of hedge funds. I also mention it > because as one of the authors, I'm most familiar with it.> > You'll probably want to use Lyx or some other LaTeX editor to help you > lay out your Sweave document into a nice printable report structure. As > Guillaume mentioned, if your historical data is stored in a database, > you can automate the task of loading the data and generating one report > per fund. If your historical data is in files or available via a web > download interface, this could be automated also. Ask the list if you > run into specific problems on this that you are having trouble sorting > through yourself.> > Once you have a layout that works, running Sweave in an automated or > semiautomated fashion for producing the reports is pretty > straightforward. There was an R News article specifically on this topic > a while back that I'm sure a little Google searching could help you locate.> > Hopefully this adds a little more context to Guillaume's suggestion. > The list will be happy to help with specifics as you get closer. Please > consider sharing the LaTeX/noweb document that you develop with the > community. I'm sure others would benefit from your experience.> > Regards,> > - Brian> > _______________________________________________> R-SIG-Finance@stat.math.ethz.ch mailing list> https://stat.ethz.ch/mailman/listinfo/r-sig-finance> -- Subscriber-posting only. > -- If you want to post, subscribe first.> > > > ------------------------------> > Message: 5> Date: Thu, 7 Jun 2007 08:51:37 -0400> From: "Joshua Reich" <josh@gghc.com>> Subject: Re: [R-SIG-Finance] R?f. : Re: R-project and the risk> measurement for mutual and hedge funds> To: "Sylvain BARTHELEMY" <barth@tac-financial.com>, "R-SIG-Finance"> <r-sig-finance@stat.math.ethz.ch>> Message-ID:> <C20EA84D76C94F4E999DC041E81C0D110256E71B@exchange2k3.ny.gghc.com>> Content-Type: text/plain; charset="iso-8859-1"> > The approach I take is somewhat similar. I am a big fan of PL/R (http://www.joeconway.com/plr/) which allows you to embed R code within SQL stored procedures in the Postgres database. This means I can do my analysis within the same database that stores our data. One can then use either R's charting packages or any other package that can talk to an ODBC datasource to make your charts.> > Josh > > -----Original Message-----> From: r-sig-finance-bounces@stat.math.ethz.ch [mailto:r-sig-finance-bounces@stat.math.ethz.ch] On Behalf Of Sylvain BARTHELEMY> Sent: Thursday, June 07, 2007 8:40 AM> To: 'R-SIG-Finance'> Subject: Re: [R-SIG-Finance]R?f. : Re: R-project and the risk measurement for mutual and hedge funds> > > A didn't know about this Sweave pack and it is a really interesting topic.> > Another simple way to produce the report would be to store the quantitative results of your risk analysis in an Microsoft Access database (using the excellent RODBC package) and to create as many Access Reports as you need.> It is less 'elegant' than what explains Brian, but it can be done easily and it is very flexible.> > ---> Sylvain Barth?l?my> Head of Quantitative Research, TAC> www.tac-financial.com | www.sylbarth.com> > > -----Message d'origine-----> De?: r-sig-finance-bounces@stat.math.ethz.ch> [mailto:r-sig-finance-bounces@stat.math.ethz.ch] De la part de Brian G.> Peterson> Envoy??: jeudi 7 juin 2007 13:58> ??: Fabrice McShort> Cc?: R-SIG-Finance> Objet?: Re: [R-SIG-Finance] R?f. : Re: R-project and the risk measurement for mutual and hedge funds> > Fabrice McShort writes:> > Thanks for your help!> > > > R project will enable me to have CVaR, Modified Sharpe Ratio, etc. > > But, I guess that I cannot use R project to produce "automatically" > > Risk management report and performance attribution for the funds. > > Is it true? I will be happy to know what software is appropriated> > for this task?> > > > PS: I need to produce 500 risk management reports per month!!!> > > > Thanks!> > guillaume.nicoulaud@halbis.com wrote:> > One convenient way to do that is to build a R - TeX architecture.> > If your raw data is stored in a database you may build pdf reports > for as many funds you want in just one click.> > G> > > Giullaume is correct. I'll provide a little more context.> > The primary tool that you want is Sweave, which allows you to run R code from inside a LaTeX document. This is straightforward, but I wouldn't call it simple if you're not familiar with LaTeX and as a newcomer to R.> > I would recommend starting by choosing a LaTeX editor that can be used with Sweave, such as Lyx. There are HOWTO's available online describing how to configure Lyx for use with Sweave.> > Then, you'll construct your risk report. Basically, I'd look at the charts and tables in the PerformanceAnalytics package for ideas on how you might build R functions to compile statistics you need for your report into tabular data and for charts that you may wish to display. > Many of the charts and tables in PerformanceAnalytics may be appropriate starting places for your mutual fund reports because many of them were developed for analysis of portfolios of hedge funds. I also mention it because as one of the authors, I'm most familiar with it.> > You'll probably want to use Lyx or some other LaTeX editor to help you lay out your Sweave document into a nice printable report structure. As Guillaume mentioned, if your historical data is stored in a database, you can automate the task of loading the data and generating one report per fund. If your historical data is in files or available via a web download interface, this could be automated also. Ask the list if you run into specific problems on this that you are having trouble sorting through yourself.> > Once you have a layout that works, running Sweave in an automated or semiautomated fashion for producing the reports is pretty straightforward. There was an R News article specifically on this topic a while back that I'm sure a little Google searching could help you locate.> > Hopefully this adds a little more context to Guillaume's suggestion. > The list will be happy to help with specifics as you get closer. Please consider sharing the LaTeX/noweb document that you develop with the community. I'm sure others would benefit from your experience.> > Regards,> > - Brian> > _______________________________________________> R-SIG-Finance@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance> -- Subscriber-posting only. > -- If you want to post, subscribe first.> > _______________________________________________> R-SIG-Finance@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance> -- Subscriber-posting only. > -- If you want to post, subscribe first.> > > > ------------------------------> > Message: 6> Date: Thu, 7 Jun 2007 09:42:02 -0400> From: <ngottlieb@marinercapital.com>> Subject: Re: [R-SIG-Finance] R?f. : Re: R-project and the risk> measurement for mutual and hedge funds> To: <brian@braverock.com>, <fabricemcshort@hotmail.com>> Cc: r-sig-finance@stat.math.ethz.ch> Message-ID:> <0946E293C7C22A45A0E33BA14FAA8D88F387F4@500MAIL.goldbox.com>> Content-Type: text/plain; charset="iso-8859-1"> > Fabrice:> > I am jumping into the middle of this thread but your issue of Performance> Attribution for Funds caught my attention.> > Not sure what type of performance attribution you need> but you can do Style Analysis on funds And good results.> > Suggest looking at William Sharpe's 19992 paper on Style Analysis.> If you web search you will find it.> > In essence, and I am VERY new to R myself but:> > You would want to build a factor model of return series> for each fund along with proxies such as S&P Industry Indexes> or FTSE sect/industry classes (this helps for international stuff).> > >From what I can tell with R, there is Principal Components(PCA)> capability. Build a correlation matrix, decompose the matrix> via PCA or Single Value Decomposition(SVD) to get eigenvectors.> > >From experience rotate them so they are orthogonal. That would be > using a promax technique if R has such.> > The last step is to load your factor model with an optimizer> with the benchmark, objective function, the fund itself and the> Tableau containing the underlying factors for the indices you use.> > See the Sharpe Paper 1992, it's good explanation> but his categories for style analysis is not perfect.> > Hope this helps as my first contribution to R threads> And being TOTALLY new to using R. > > from a former SPSS and IMSL programmer!> Neil> > -----Original Message-----> From: r-sig-finance-bounces@stat.math.ethz.ch [mailto:r-sig-finance-bounces@stat.math.ethz.ch] On Behalf Of Brian G. Peterson> Sent: Thursday, June 07, 2007 7:58 AM> To: Fabrice McShort> Cc: R-SIG-Finance> Subject: Re: [R-SIG-Finance] R?f. : Re: R-project and the risk measurement for mutual and hedge funds> > Fabrice McShort writes:> > Thanks for your help!> > > > R project will enable me to have CVaR, Modified Sharpe Ratio, etc. > > But, I guess that I cannot use R project to produce "automatically" > > Risk management report and performance attribution for the funds. > > Is it true? I will be happy to know what software is appropriated> > for this task?> > > > PS: I need to produce 500 risk management reports per month!!!> > > > Thanks!> > guillaume.nicoulaud@halbis.com wrote:> > One convenient way to do that is to build a R - TeX architecture.> > If your raw data is stored in a database you may build pdf reports > for as many funds you want in just one click.> > G> > > Giullaume is correct. I'll provide a little more context.> > The primary tool that you want is Sweave, which allows you to run R code from inside a LaTeX document. This is straightforward, but I wouldn't call it simple if you're not familiar with LaTeX and as a newcomer to R.> > I would recommend starting by choosing a LaTeX editor that can be used with Sweave, such as Lyx. There are HOWTO's available online describing how to configure Lyx for use with Sweave.> > Then, you'll construct your risk report. Basically, I'd look at the charts and tables in the PerformanceAnalytics package for ideas on how you might build R functions to compile statistics you need for your report into tabular data and for charts that you may wish to display. > Many of the charts and tables in PerformanceAnalytics may be appropriate starting places for your mutual fund reports because many of them were developed for analysis of portfolios of hedge funds. I also mention it because as one of the authors, I'm most familiar with it.> > You'll probably want to use Lyx or some other LaTeX editor to help you lay out your Sweave document into a nice printable report structure. As Guillaume mentioned, if your historical data is stored in a database, you can automate the task of loading the data and generating one report per fund. If your historical data is in files or available via a web download interface, this could be automated also. Ask the list if you run into specific problems on this that you are having trouble sorting through yourself.> > Once you have a layout that works, running Sweave in an automated or semiautomated fashion for producing the reports is pretty straightforward. There was an R News article specifically on this topic a while back that I'm sure a little Google searching could help you locate.> > Hopefully this adds a little more context to Guillaume's suggestion. > The list will be happy to help with specifics as you get closer. Please consider sharing the LaTeX/noweb document that you develop with the community. I'm sure others would benefit from your experience.> > Regards,> > - Brian> > _______________________________________________> R-SIG-Finance@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance> -- Subscriber-posting only. > -- If you want to post, subscribe first.> --------------------------------------------------------> > > > This information is being sent at the recipient's request or with their specific understanding. The recipient acknowledges that by sending this information via electronic means, there is no absolute assurance that the information will be free from third party access, use, or further dissemination. This e-mail contains information that is privileged and/or confidential and may be subject to legal restrictions and penalties regarding its unauthorized disclosure or other use. You are prohibited from copying, distributing or otherwise using this information if you are not the intended recipient. Past performance is not necessarily indicative of future results. This is not an offer of or the solicitation for any security which will be made only by private placement memorandum that may be obtained from the applicable hedge fund. If you have received this e-mail in error, please notify us immediately by return e-mail and delete this e-mail and all attachments from your system. Than!> k You.> > > > ------------------------------> > Message: 7> Date: Fri, 8 Jun 2007 13:48:51 +0800> From: "Liu Zhigang" <email.lzg@gmail.com>> Subject: [R-SIG-Finance] hedge funds data> To: r-sig-finance@stat.math.ethz.ch> Message-ID:> <551c2c780706072248n2b93e9c0l328aab3b1744a9e4@mail.gmail.com>> Content-Type: text/plain> > Hello,> anyone can tell me where I can find and download hedge funds data, such as> return rate and performance ratios.> Thanks.> > Liu Zhigang> Jilin Univeristy, China> > [[alternative HTML version deleted]]> > > > ------------------------------> > Message: 8> Date: Fri, 8 Jun 2007 07:53:54 +0200> From: guillaume.nicoulaud@halbis.com> Subject: [R-SIG-Finance] R?f. : hedge funds data> To: "Liu Zhigang" <email.lzg@gmail.com>> Cc: r-sig-finance@stat.math.ethz.ch,> r-sig-finance-bounces@stat.math.ethz.ch> Message-ID:> <OF2277598A.98D4FD4B-ONC12572F4.0020362D-C12572F4.0020668C@hsbc.fr>> Content-Type: text/plain; charset="ISO-8859-15"> > Hi Liu> https://www.hedgefundresearch.com/ would be my personal choice (registration is -- or at least used to be -- free)> Rgds,> G> > > > > > Pour : r-sig-finance@stat.math.ethz.ch > cc : > Objet : [R-SIG-Finance] hedge funds data > "Liu Zhigang" <email.lzg@gmail.com> > Envoy? par : > r-sig-finance-bounces@stat.math.ethz. > ch > > > 08/06/2007 07:48 > > > > > > > Hello,> anyone can tell me where I can find and download hedge funds data, such as> return rate and performance ratios.> Thanks.> > Liu Zhigang> Jilin Univeristy, China> > [[alternative HTML version deleted]]> > _______________________________________________> R-SIG-Finance@stat.math.ethz.ch mailing list> https://stat.ethz.ch/mailman/listinfo/r-sig-finance> -- Subscriber-posting only.> -- If you want to post, subscribe first.> > > > > Les informations contenues dans ce message sont confidentielles et peuvent constituer des informations privilegiees. Si vous n etes pas le destinataire de ce message, il vous est interdit de le copier, de le faire suivre, de le divulguer ou d en utiliser tout ou partie. Si vous avez recu ce message par erreur, merci de le supprimer de votre systeme, ainsi que toutes ses copies, et d en avertir immediatement l expediteur par message de retour.> Il est impossible de garantir que les communications par messagerie electronique arrivent en temps utile, sont securisees ou denuees de toute erreur ou virus. En consequence, l expediteur n accepte aucune responsabilite du fait des erreurs ou omissions qui pourraient en resulter.> --- ----------------------------------------------------- ---> The information contained in this e-mail is confidential. It...{{dropped}}> > > > ------------------------------> > _______________________________________________> R-SIG-Finance mailing list> R-SIG-Finance@stat.math.ethz.ch> https://stat.ethz.ch/mailman/listinfo/r-sig-finance> > > End of R-SIG-Finance Digest, Vol 37, Issue 5> ********************************************
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