Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/20227
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dc.contributor.authorVarma, Jayanth R.
dc.contributor.authorVirmani, Vineet
dc.date.accessioned2018-02-06T05:14:46Z
dc.date.available2018-02-06T05:14:46Z
dc.date.issued2017-03-31
dc.identifier.urihttp://hdl.handle.net/11718/20227
dc.description.abstractDespite the popularity of open-source languages like R and Python in modern empirical research and the data-science industry, spreadsheet programs like Microsoft Excel remain the data analysis software of choice in much of the business-school curriculum, including at IIMA. Even if instructors are comfortable with modern programming languages, they have to pitch their courses at the level of computer literacy prevalent among students. Excel then appears to be a natural choice given its popularity, but this choice constrains the depth of analysis that is possible and requires a certain amount of dumbing-down of the subject by the instructor. Recent software advances however make the ubiquitous web browser a worthy challenger to the spreadsheet. This article introduces one such browser-based tool called Shiny for bringing finance applications to the classroom and smart phones. Fueled by the availability of high-quality R packages in finance and statistics, Shiny brings together the power of HTML with the R programming language. It naturally creates an environment for the instructor to focus on the role of parameters and assumptions in analysis without the clutter of data, and allows the instructor to go beyond the toy problems that are necessitated by the nature of spreadsheets. The learning curve is short for an interested instructor with even a rudimentary exposure to programming in any language. The article ends with the discussion of a fully-worked out example of Shiny for teaching the mean variance efficient frontier in a basic investments course.en_US
dc.language.isoen_USen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.relation.ispartofseriesW.P.;2017-03-05
dc.subjectFinanceen_US
dc.subjectOpen-source computingen_US
dc.subjectPedagogyen_US
dc.subjectRen_US
dc.subjectShinyen_US
dc.subjectStatisticsen_US
dc.titleShiny alternative for finance in the classroomen_US
dc.typeWorking Paperen_US
Appears in Collections:Working Papers

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