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12

Instead of wild guesses about R's/python's future in the community, here some facts: The following query on StackExchange Data Explorer counts the number of questions that have <r> or <python> tags. If you scroll down on one of the three webpages provided below, you can see a graph with data on a monthly basis. You can easily run this query on ...


4

It is very hard to answer this quiz as people might be good at different at tools. For example, if you are good at VBA, then you can achieve the same effect compared to R in most cases. The following parts are the reasons why I prefer to R based on my own situation. 'package'. This is the most obvious strength of R over Excel in terms of convenience. You ...


3

You don't need all the discount factors. You just need the currency basis swap market, which exists precisely for this purpose. For example if the 5 yr eur/usd currency basis is -25, it means that you can exchange a euribor-25 liability for a usd libor flat liability. These swaps also have an exchange of principal amounts at the start and end to convert ...


3

The right amount of confidence and courage to take risks with other people's money without shading into overconfidence and bad judgement. Especially coping with the emotional pressure of losses without losing your head and doing the wrong thing. It also helps to do mental arithmetic quickly and accurately and have a good short term memory for figures, all in ...


3

Some advantages of R over Excel: R is a scripting language, which allows to record a data manipulation script once and reuse it multiple times. R, as a [scripting] programming language is much more flexible than very limited Excel's GUI. In fact, R has become a de facto statistical programming environment, which delivers most recent statistical techniques. ...


2

The major advantage of Python (w/ pandas) over R is that Python supports OOP (object-oriented programming). It makes sense to organize a large code base using a hierarchy of classes. Python also supports the notion of polymorphism so that we can use well-known design patterns (e.g., Strategy, Observer, etc.) in our code.


2

\begin{align*} \int_0^T W(t)\, dt &{}= \int_0^T\!\!\int_0^t dW(u)\,dt \\ &{}= \int_0^T\!\!\int_u^T dt\, dW(u) \\&{}= \int_0^T (T - u)\,dW(u) \\&{}= TW(T) - \int_0^T u\, dW(u) \end{align*} however i am not sure if it is what you are asking for


1

Some exchanges do provide their historic margin requirements. For CME: http://www.cmegroup.com/clearing/risk-management/historical-margins.html Caveat for above link is that this is the margin imposed by the exchange on their members. May or may not be the margin your broker imposes on your account. Hope this helps.


1

I suppose it will be difficult to provide a precise response as it is a fairly vague question and the reality is quite diverse. From my personal experience, the Quant I used to work with are using techno as R, Matlab combined with Visual Basic. Regarding more sophisticated tool coded in Java or C#, they are most of the cases inhouse frameworks. So the only ...


1

Strata seems like a fairly well designed library, which is an open source library designed by OpenGamma. From their docs Strata allows financial systems developers to build or enhance existing applications with standardized, off-the-shelf market risk components. It provides all the core concepts and market risk functionality at the heart of the ...


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You can do that with the blotter package. We use it to reconcile our trades. It's only available on R-Forge, so see this stackoverflow question for how to install it. Run the "amzn_test" demo for an example of how to use it: library(blotter) demo(amzn_test)


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Here is a very good online library for econometrics ebooks: http://www.uebook.net/economics/econometrics



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